<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3-mathml3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1787466</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2026.1787466</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of the 2017 ACC/AHA hypertension guidelines on antihypertensive prescribing in the United States: real-world evidence from a nationally representative population</article-title>
<alt-title alt-title-type="left-running-head">Jafari</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2026.1787466">10.3389/fphar.2026.1787466</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jafari</surname>
<given-names>Eissa A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3340835"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal Analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing - original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x26; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/">Writing - review and editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>Department of Pharmacy Practice, College of Pharmacy, Jazan University</institution>, <city>Jazan</city>, <country country="SA">Saudi Arabia</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Pharmacy Practice Research Unit, College of Pharmacy, Jazan University</institution>, <city>Jazan</city>, <country country="SA">Saudi Arabia</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Eissa A. Jafari, <email xlink:href="mailto:ejafari@jazanu.edu.sa">ejafari@jazanu.edu.sa</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-25">
<day>25</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1787466</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>11</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Jafari.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Jafari</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-25">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Hypertension (HTN) remains a major contributor to cardiovascular morbidity and mortality in the United States (US). The 2017 ACC/AHA HTN guidelines introduced major changes to diagnostic thresholds and treatment recommendations, including earlier pharmacological initiation and greater emphasis on combination therapy. However, the long-term, population-level impact of these guidelines on antihypertensive medication utilization in the US remains uncharacterized.</p>
</sec>
<sec>
<title>Methods</title>
<p>We conducted a pooled cross-sectional study using data from the Medical Expenditure Panel Survey (2013&#x2013;2022). Adults &#x2265;18 years with diagnosed HTN were included. Antihypertensive classes utilization was defined as any use of the medication class with &#x2265;2 prescription refills within the same year among eligible participants. Utilization of antihypertensive classes was then pooled and examined across two periods: pre-guidelines (2013&#x2013;2017) and post-guidelines (2018&#x2013;2022). Survey-weighted multivariable logistic regression models were used to assess the impact of the 2017 ACC/AHA guidelines on the overall utilization of antihypertensive drug classes and within subgroups with compelling indications.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 29,901 adults were included. Following guidelines implementation, angiotensin receptor blockers (ARBs) utilization increased from 18% to 26% (adjusted OR [aOR] &#x3d; 1.35; 95% confidence interval [CI]: 1.21&#x2013;1.50, p &#x3c; 0.0001), and calcium channel blocker (CCB) use increased from 28% to 32% (aOR &#x3d; 1.24; 95% CI: 1.13&#x2013;1.36, p &#x3c; 0.0001). In contrast, fixed-dose combination (FDC) utilization declined from 22% to 16% (aOR &#x3d; 0.67; 95% CI: 0.59&#x2013;0.75, p &#x3c; 0.0001). Utilization of other antihypertensive classes did not change significantly.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>After the 2017 ACC/AHA guidelines update, antihypertensive prescribing in the US showed increased use of ARBs and CCBs. However, declining FDC use highlights a persistent gap between evidence-based guidance and real-world practice.</p>
</sec>
</abstract>
<kwd-group>
<kwd>2017 ACC/AHA hypertension guidelines</kwd>
<kwd>antihypertensive</kwd>
<kwd>fixed-dose combination antihypertensives</kwd>
<kwd>hypertension</kwd>
<kwd>prescribing</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="14"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pharmacoepidemiology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Hypertension (HTN) remains the most prevalent chronic condition among adults in the United States (US) and a leading modifiable risk factor for cardiovascular morbidity and mortality worldwide (<xref ref-type="bibr" rid="B18">Mills et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Dorans et al., 2018</xref>). It accounts for nearly half of all cardiovascular events, including myocardial infarction and stroke, and contributes to more than 10 million deaths annually (<xref ref-type="bibr" rid="B18">Mills et al., 2020</xref>; <xref ref-type="bibr" rid="B29">Wu et al., 2025</xref>). Despite decades of public health efforts and the availability of effective, affordable pharmacological therapies, HTN control remains suboptimal. Recent National Health and Nutrition Examination Survey data (2021&#x2013;2023) indicated that nearly half of US adults meet diagnostic criteria for HTN (&#x2265;130/80&#xa0;mm Hg), yet fewer than half achieve adequate blood pressure (BP) control (<xref ref-type="bibr" rid="B9">Fryar et al., 2023</xref>). Therapeutic inertia and suboptimal medication utilization continue to undermine effective HTN management, reinforcing the need to optimize antihypertensive treatment strategies to reduce adverse cardiovascular outcomes (<xref ref-type="bibr" rid="B31">Zhou et al., 2021</xref>).</p>
<p>HTN management in the US has evolved through successive guidelines updates informed by emerging clinical evidence and expert consensus (<xref ref-type="bibr" rid="B4">Chobanian et al., 2003</xref>; <xref ref-type="bibr" rid="B12">James et al., 2014</xref>; <xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>). The Seventh Report of the Joint National Committee (JNC 7), published in 2003, defined HTN using a threshold of &#x2265;140/90&#xa0;mm Hg and emphasized lifestyle modification alongside stepwise pharmacological therapy, recommending thiazide diuretic as first-line treatment for most patients and specific drug classes for compelling indications (<xref ref-type="bibr" rid="B4">Chobanian et al., 2003</xref>). In 2014, the Eighth Joint National Committee (JNC 8) retained the diagnostic threshold of &#x2265;140/90&#xa0;mm Hg but relaxed BP targets for adults aged &#x2265;60 years to &#x3c;150/90&#xa0;mm Hg. JNC 8 also expanded first-line treatment options to include thiazide diuretic, angiotensin-converting enzyme inhibitors (ACEI), angiotensin receptor blocker (ARB), and calcium channel blocker (CCB) (<xref ref-type="bibr" rid="B12">James et al., 2014</xref>). Additionally, Beta-blocker (BB) were no longer recommended as initial therapy owing to inferior stroke and composite cardiovascular outcomes, compared with other classes (<xref ref-type="bibr" rid="B12">James et al., 2014</xref>). Although JNC 8 offered greater therapeutic flexibility, it was criticized for potentially reducing treatment intensity in high-risk older adults. Evidence of suboptimal BP control and of rising cardiovascular events under the JNC 8 targets prompted renewed emphasis on risk-stratified, earlier pharmacologic intervention (<xref ref-type="bibr" rid="B12">James et al., 2014</xref>; <xref ref-type="bibr" rid="B27">Shrout et al., 2017</xref>).</p>
<p>A major shift in HTN management was introduced by the 2017 American College of Cardiology (ACC)/American Heart Association (AHA) HTN guidelines, which redefined HTN as BP &#x2265; 130/80&#xa0;mm Hg, expanding the treatment eligibility (<xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>; <xref ref-type="bibr" rid="B20">Muntner et al., 2018</xref>). By lowering the BP threshold for HTN diagnosis and recommending pharmacotherapy for stage 1 HTN with elevated atherosclerotic cardiovascular disease risk, the 2017 guideline increased the number of adults eligible for antihypertensive treatment (<xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>; <xref ref-type="bibr" rid="B20">Muntner et al., 2018</xref>). Additionally, the new guidelines recommended initiating two antihypertensive agents, preferably as a fixed-dose combination (FDC), when baseline BP exceeded the target by &#x2265; 20/10&#xa0;mm Hg (<xref ref-type="bibr" rid="B12">James et al., 2014</xref>; <xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>). The 2017 update also standardized the target BP goal (&#x3c;130/80&#xa0;mm Hg) across adult populations, including those with diabetes and chronic kidney disease (CKD). The 2017 ACC/AHA guidelines recommended thiazide diuretic, ACEI, ARB, and CCB as first-line options, and discouraged the use of beta blockers outside specific compelling indications, such as heart failure or post-myocardial infarction (<xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>).</p>
<p>Despite these substantial changes, the real-world impact of the 2017 ACC/AHA guidelines on antihypertensive prescribing patterns remains poorly characterized (<xref ref-type="bibr" rid="B20">Muntner et al., 2018</xref>). Most post-guidelines studies have focused on HTN prevalence, control, or treatment eligibility, rather than on temporal changes in medication utilization (<xref ref-type="bibr" rid="B6">Dorans et al., 2018</xref>; <xref ref-type="bibr" rid="B20">Muntner et al., 2018</xref>; <xref ref-type="bibr" rid="B13">Khera et al., 2018</xref>; <xref ref-type="bibr" rid="B10">Hussain et al., 2022</xref>). The existing evidence on the impact of the 2017 ACC/AHA guidelines on antihypertensive utilization relied on data up to 2019, limiting the ability to capture long-term antihypertensive prescribing trends (<xref ref-type="bibr" rid="B16">Lin et al., 2024</xref>). Moreover, little is known about whether the guidelines implementation had a differential impact on high-risk populations, such as Non-Hispanic Black adults and those with compelling indications.</p>
<p>To address this gap, this study aimed to evaluate the impact of the 2017 ACC/AHA HTN guidelines on antihypertensive medication utilization, using nationally representative data from the Medical Expenditure Panel Survey (MEPS) from 2013 through 2022. Antihypertensive prescribing patterns were examined over the 5&#xa0;years preceding (2013&#x2013;2017) and 5&#xa0;years following (2018&#x2013;2022) guidelines publication. By leveraging a decade of population-level data, this study provided contemporary, real-world evidence on how major HTN guidelines influenced antihypertensive medication use, with implications for clinical practice, health policy, and strategies to improve HTN control in the US.</p>
</sec>
<sec sec-type="methods" id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2-1">
<label>2.1</label>
<title>Data source</title>
<p>This study used data from the Household Component of the MEPS (MEPS-HC) for the years 2013 through 2022. MEPS is a nationally representative survey of the U.S. civilian, noninstitutionalized population conducted annually by the Agency for Healthcare Research and Quality. It employs a stratified, multistage probability sampling design and collects detailed information on sociodemographic characteristics, medical conditions, prescribed medications, healthcare utilization, expenditures, and insurance coverage.</p>
<p>Data are collected through a series of in-person household interviews and are supplemented by the Medical Provider Component, which verifies information from healthcare providers, hospitals, and pharmacies, and the Insurance Component, which captures details on employer-sponsored healthcare plans. The MEPS sample is drawn from respondents to the National Health Interview Survey, ensuring national representativeness.</p>
<p>For this study, we used the full-year consolidated file, the prescribed medicines file, and the medical conditions file from the MEPS-HC. These files were linked using the unique person identifier (DUPERSID). The full-year consolidated file provided demographic, socioeconomic, behavioral, and health-related variables; the prescribed medicines file contained detailed information on dispensed medications; and the medical conditions file included diagnosis information.</p>
<p>All MEPS data are publicly available and fully de-identified, collected under the authority of the Public Health Service Act. Because this analysis used publicly available secondary data, it was considered exempt from the institutional review board and did not require informed consent.</p>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Study design and population</title>
<p>This was a pooled cross-sectional study. Adults aged &#x2265;18 years were eligible if they had a diagnosis of HTN identified using International Classification of Diseases, Ninth or Tenth Revision (ICD-9/10) codes or self-reported HTN and had &#x2265;2 prescription refills for any antihypertensive medication during the same year. The &#x2265;2 refill criterion was applied to reduce treatment misclassification and increase the likelihood of capturing prescriptions that represent ongoing antihypertensive therapy rather than a single trial prescription, or acute use. Antihypertensive medications were identified using Multum Lexicon therapeutic classification codes (<xref ref-type="sec" rid="s13">Supplementary Table S1</xref>) from the prescribed medicines file. Individuals with a pregnancy diagnosis during the study period were excluded.</p>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Study outcomes</title>
<p>The study outcome was the annual utilization of each antihypertensive medication class, assessed within each calendar year. Annual person-year utilizations were then pooled into two multi-year periods: pre-guidelines (2013&#x2013;2017) and post-guidelines (2018&#x2013;2022), corresponding to periods before and after publication of the 2017 ACC/AHA HTN guidelines. Antihypertensive classes included in the study were ACEI, ARB, CCB, diuretic, BB, central-acting alpha agonist (CAA), alpha-1 peripherally acting antagonist (APA) so it matches the <xref ref-type="fig" rid="F2">Figure 2</xref>, aldosterone receptor antagonist (ARA), vasodilator, and FDC product.</p>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>Covariates</title>
<p>The primary exposure variable was the time period, defined as pre-guidelines (2013&#x2013;2017) vs. post-guidelines (2018&#x2013;2022). Other variables included age, sex (male/female), Race/ethnicity (Non-Hispanic White, Non-Hispanic Black, Hispanic, Asian, Other), education level (no degree, high school diploma, some college or associate degree, bachelor&#x2019;s or higher degree), health insurance coverage (private, public, uninsured), census region (Northeast, Midwest, South, West), poverty category (poor/negative, near poor, low income, middle income, high income), marital status (married; never married; divorced, widowed, or separated), and physical exercise.</p>
<p>Clinical comorbidities included diabetes, CKD, heart failure, coronary heart disease, myocardial infarction, stroke, dyslipidemia, chronic obstructive pulmonary disorder (COPD), asthma, Alzheimer&#x2019;s disease and related dementias (ADRD), osteoarthritis, gastroesophageal reflux disorder (GERD), anxiety, and depression.</p>
</sec>
<sec id="s2-5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>All analyses accounted for the complex MEPS survey design by applying person-level weights, strata, and primary sampling units to produce nationally representative estimates. Descriptive statistics were used to summarize participant characteristics, reported as frequency and weighted percentage (wt%) for categorical variables and weighted means, with standard error for continuous variables. Differences between the pre- and post-guidelines periods were evaluated using the Chi-square test for categorical variables and t-tests for continuous variables.</p>
<p>Survey-weighted logistic regression models were fitted to estimate the odds of utilization of each antihypertensive medication class in the post-guidelines period compared with the pre-guidelines period. Each medication class was modeled as a binary outcome, with the guidelines period as the primary independent variable. Models were adjusted for demographic, socioeconomic, behavioral, and clinically relevant covariates. Results were reported as odds ratios (ORs) with 95% confidence intervals (CIs) and p-values.</p>
<p>To further assess adherence to 2017 ACC/AHA recommendations among patients with compelling indications (e.g., diabetes, CKD, Black race), additional survey-weighted logistic regression models were performed using each indication as a subgroup, with antihypertensive class as the dependent variable and guidelines period as the independent variable. Given multiple subgroup-by-class comparisons, we applied the Benjamini&#x2013;Hochberg procedure to control for the false discovery rate (FDR) at 5%. Associations were considered statistically significant if the q value &#x3c; 0.05. All analyses were conducted using SAS 9.4 (SAS Institute, Cary, NC) and R version 4.3.3 (R Foundation for Statistical Computing, Vienna, Austria).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec id="s3-1">
<label>3.1</label>
<title>Data preparation and cohort selection</title>
<p>A total of 180,893 participants from the 2013&#x2013;2022 MEPS sample were screened for eligibility. Of these, 30,023 adults met the inclusion criteria of being aged &#x2265;18 years, diagnosed with HTN, and having at least two refills of prescribed antihypertensive medications. After excluding 122 pregnant participants, the final analytic cohort comprised of 29,901 adults with treated HTN, including 17,801 participants in the pre-2017 ACC/AHA guidelines period and 12,100 in the post-2017 ACC/AHA guidelines period (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Data preparation and cohort selection. Abbreviation: ACC, American College of Cardiology; AHA, American Heart Association.</p>
</caption>
<graphic xlink:href="fphar-17-1787466-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating participant selection from the Medical Expenditure Panel Survey, starting with 180,893 individuals, narrowing to 30,023 meeting inclusion, excluding 122 with pregnancy diagnosis, yielding 29,901 eligible, then split into 17,801 pre-2017 and 12,100 post-2017 guideline groups.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Patient characteristics</title>
<p>Demographic, socioeconomic, and clinical characteristics of the study population overall and by guidelines period are presented in <xref ref-type="table" rid="T1">Table 1</xref>. The cohort mean age was 63 years, with an equal distribution of males and females. The cohort was predominantly non-Hispanic White (69%), followed by non-Hispanic Black (14%), Hispanic (10%), non-Hispanic Asian (4%), and other races (3%). The majority of participants had at least a high school education (45%), private health insurance (62%), high income status (42%), and were married (58%). The most prevalent comorbidities were dyslipidemia (68%), diabetes (30%), osteoarthritis (30%), GERD (18%), coronary heart disease (16%), and anxiety (16%) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Patient characteristics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristics</th>
<th align="left">Overall<break/>N &#x3d; 29,901 (wt%)</th>
<th align="left">Pre-2017 ACC/AHA<break/>Guidelines n &#x3d; 17,801 (wt%)</th>
<th align="left">Post-2017 ACC/AHA<break/>Guidelines n &#x3d; 12,100 (wt%)</th>
<th align="left">P-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age</td>
<td align="left">63 (0.14)</td>
<td align="left">63 (0.18)</td>
<td align="left">66 (0.20)</td>
<td align="left">0.0019</td>
</tr>
<tr>
<td align="left">Age category</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">0.0053</td>
</tr>
<tr>
<td align="left">18&#x2013;39</td>
<td align="left">1,336 (5)</td>
<td align="left">907 (5)</td>
<td align="left">429 (5)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">40&#x2013;64</td>
<td align="left">13,332 (45)</td>
<td align="left">8,594 (46)</td>
<td align="left">4,738 (43)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2265;65</td>
<td align="left">15,233 (50)</td>
<td align="left">8,300 (49)</td>
<td align="left">6,933 (52)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Sex</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">0.0142</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="left">13,700 (50)</td>
<td align="left">8,058 (49)</td>
<td align="left">5,642 (51)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="left">16,201 (50)</td>
<td align="left">9,743 (51)</td>
<td align="left">6,458 (49)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Race/Ethnicity</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">0.2751</td>
</tr>
<tr>
<td align="left">Hispanic</td>
<td align="left">4,783 (10)</td>
<td align="left">3,258 (10)</td>
<td align="left">1,525 (10)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Non-hispanic white</td>
<td align="left">16,236 (69)</td>
<td align="left">8,572 (69)</td>
<td align="left">7,664 (69)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Non-hispanic back</td>
<td align="left">6,573 (14)</td>
<td align="left">4,471 (14)</td>
<td align="left">2,102 (13)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Non-hispanic Asian</td>
<td align="left">1,500 (4)</td>
<td align="left">1,046 (4)</td>
<td align="left">454 (5)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Other or multiple races</td>
<td align="left">809 (3)</td>
<td align="left">454 (3)</td>
<td align="left">355 (3)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Education</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">No degree</td>
<td align="left">4,929 (12)</td>
<td align="left">3,201 (14)</td>
<td align="left">1,728 (10)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">High school diploma</td>
<td align="left">11,903 (45)</td>
<td align="left">6,217 (43)</td>
<td align="left">5,686 (47)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Some college/associate degree</td>
<td align="left">3,633 (15)</td>
<td align="left">2,404 (18)</td>
<td align="left">1,229 (12)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Bachelor&#x2019;s/higher education</td>
<td align="left">6,414 (28)</td>
<td align="left">3,016 (25)</td>
<td align="left">3,398 (31)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Insurance coverage</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">Private</td>
<td align="left">16,070 (62)</td>
<td align="left">9,649 (64)</td>
<td align="left">6,421 (60)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Public</td>
<td align="left">12,636 (35)</td>
<td align="left">7,203 (33)</td>
<td align="left">5,433 (38)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Uninsured</td>
<td align="left">1,195 (3)</td>
<td align="left">949 (3)</td>
<td align="left">246 (2)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Poverty category</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">0.0003</td>
</tr>
<tr>
<td align="left">Poor/negative</td>
<td align="left">5,271 (11)</td>
<td align="left">3,236 (12)</td>
<td align="left">2,035 (11)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Near poor</td>
<td align="left">1,846 (5)</td>
<td align="left">1,179 (5)</td>
<td align="left">667 (4)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Low income</td>
<td align="left">4,663 (14)</td>
<td align="left">2,901 (14)</td>
<td align="left">1,762 (13)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Middle income</td>
<td align="left">8,245 (28)</td>
<td align="left">5,000 (28)</td>
<td align="left">3,245 (28)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">High income</td>
<td align="left">9,876 (42)</td>
<td align="left">5,485 (41)</td>
<td align="left">4,391 (44)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Marital status</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">0.2369</td>
</tr>
<tr>
<td align="left">Married</td>
<td align="left">15,311 (58)</td>
<td align="left">9,173 (57)</td>
<td align="left">6,138 (59)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Divorced/widowed/separated</td>
<td align="left">10,947 (32)</td>
<td align="left">6,386 (33)</td>
<td align="left">4,561 (31)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Never married</td>
<td align="left">3,643 (10)</td>
<td align="left">2,242 (10)</td>
<td align="left">1,401 (10)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Region</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">0.7012</td>
</tr>
<tr>
<td align="left">Northeast</td>
<td align="left">4,899 (17)</td>
<td align="left">2,978 (18)</td>
<td align="left">1,921 (16)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Midwest</td>
<td align="left">6,170 (22)</td>
<td align="left">3,585 (22)</td>
<td align="left">2,585 (22)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">South</td>
<td align="left">12,516 (41)</td>
<td align="left">7,477 (41)</td>
<td align="left">5,039 (42)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">West</td>
<td align="left">6,316 (19)</td>
<td align="left">3,761 (19)</td>
<td align="left">2,555 (19)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Physical exercise</td>
<td align="left">12,251 (43)</td>
<td align="left">7,006 (41)</td>
<td align="left">5,245 (45)</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">Diabetes</td>
<td align="left">9,924 (30)</td>
<td align="left">6,169 (31)</td>
<td align="left">3,755 (29)</td>
<td align="left">0.0253</td>
</tr>
<tr>
<td align="left">Chronic kidney disease</td>
<td align="left">622 (2)</td>
<td align="left">349 (2)</td>
<td align="left">273 (2)</td>
<td align="left">0.5721</td>
</tr>
<tr>
<td align="left">Heart failure</td>
<td align="left">876 (3)</td>
<td align="left">539 (3)</td>
<td align="left">337 (3)</td>
<td align="left">0.0231</td>
</tr>
<tr>
<td align="left">Coronary heart disease</td>
<td align="left">4,848 (16)</td>
<td align="left">2,977 (17)</td>
<td align="left">1,871 (15)</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">Stroke</td>
<td align="left">3,550 (11)</td>
<td align="left">2,147 (11)</td>
<td align="left">1,403 (11)</td>
<td align="left">0.1263</td>
</tr>
<tr>
<td align="left">Myocardial infarction</td>
<td align="left">3,394 (11)</td>
<td align="left">2,066 (12)</td>
<td align="left">1,309 (10)</td>
<td align="left">0.0051</td>
</tr>
<tr>
<td align="left">Dyslipidemia</td>
<td align="left">20,414 (68)</td>
<td align="left">12,040 (68)</td>
<td align="left">8,374 (68)</td>
<td align="left">0.5040</td>
</tr>
<tr>
<td align="left">COPD</td>
<td align="left">3,993 (13)</td>
<td align="left">2,563 (15)</td>
<td align="left">1,430 (11)</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">Asthma</td>
<td align="left">4,652 (15)</td>
<td align="left">2,610 (14)</td>
<td align="left">2,042 (16)</td>
<td align="left">0.0004</td>
</tr>
<tr>
<td align="left">ADRD</td>
<td align="left">4,143 (12)</td>
<td align="left">2,604 (13)</td>
<td align="left">1,539 (11)</td>
<td align="left">0.0015</td>
</tr>
<tr>
<td align="left">Osteoarthritis</td>
<td align="left">8,849 (30)</td>
<td align="left">4,869 (29)</td>
<td align="left">3,980 (31)</td>
<td align="left">0.0587</td>
</tr>
<tr>
<td align="left">GERD</td>
<td align="left">5,340 (18)</td>
<td align="left">3,173 (18)</td>
<td align="left">2,167 (17)</td>
<td align="left">0.0181</td>
</tr>
<tr>
<td align="left">Anxiety</td>
<td align="left">4,711 (16)</td>
<td align="left">2,938 (18)</td>
<td align="left">1,773 (14)</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">Depression</td>
<td align="left">3,179 (11)</td>
<td align="left">1,463 (8)</td>
<td align="left">1,716 (14)</td>
<td align="left">&#x3c;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviation: HTN, hypertension; ACC, american college of cardiology; AHA, american heart association; COPD, chronic obstructive pulmonary disorder; GERD, gastroesophageal reflux disorder; ADRD, Alzheimer&#x2019;s disease and related dementia; wt%, Weighted percentage.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Compared with participants in the pre-guidelines period, those in the post-guidelines period were older (66 vs 63 years, p &#x3d; 0.0019), more likely to be female (51% vs 49%, p &#x3d; 0.0142), had a higher proportion with a bachelor&#x2019;s degree or higher education (31% vs 25%, p &#x3c; 0.0001), and more high-income earners (44% vs 41%, p &#x3d; 0.0003). In contrast, private insurance coverage was lower in the post-guidelines period (60% vs 64%, &#x3c;0.0001), compared to those in the pre-guidelines period (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>Clinically, compared with those in post-guidelines period, the participants in pre-guidelines period had higher a prevalence of diabetes (31% vs 29%, p &#x3d; 0.0253), coronary heart disease (17% vs 15%, p &#x3c; 0.0001), myocardial infarction (12% vs 10%, p &#x3d; 0.0051), COPD (15% vs 11%, p &#x3c; 0.0001), ADRD (13% vs 11%, p &#x3d; 0.0015), and anxiety (18% vs 14%, p &#x3c; 0.0001). Conversely, asthma (16% vs 14%; p &#x3d; 0.0004) and depression (14% vs 8%; p &#x3c; 0.0001) were more prevalent in post-guidelines period participants, compared with those in the pre-guidelines period (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Trends in antihypertensive use</title>
<p>Antihypertensive medication utilization before and after implementation of the 2017 ACC/AHA guidelines is presented in <xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="table" rid="T2">Table 2</xref>. The most commonly prescribed drug classes were ACEI (38%), BB (35%), CCB (30%), and diuretic (26%).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Trend of antihypertensive classes utilization before and after the 2017 ACC/AHA guidelines implementation. Abbreviation: ACC, American College of Cardiology; AHA, American Heart Association; ACEI, Angiotensin-converting enzyme inhibitors; ARB, Angiotensin receptor blocker; CCB, Calcium channel blocker, BB; Beta-blocker; CAA, Central alpha agonist; APA, alpha-1 peripherally acting antagonist; ARA, Aldosterone receptor antagonist; KSP, Potassium-sparing diuretics; FDC, Fixed-dose combination.</p>
</caption>
<graphic xlink:href="fphar-17-1787466-g002.tif">
<alt-text content-type="machine-generated">Line graph showing annual percentages of antihypertensive use by drug class from 2013 to 2022. ACEI, BB, CCB, and diuretics show the highest percentages (roughly mid-20s to around 40%) across years, while ARB increases over time. APA, ARA, CAA, and vasodilators remain low (generally a few percent). FDC declines from the mid-20s toward the mid-teens by 2022.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Antihypertensive classes utilization before and after the 2017 ACC/AHA guidelines implementation.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Antihypertensive class</th>
<th align="left">Overall<break/>N &#x3d; 29,901 (wt%)</th>
<th align="left">Pre-2017 ACC/AHA<break/>Guidelines n &#x3d; 17,801 (wt%)</th>
<th align="left">Post-2017 ACC/AHA<break/>Guidelines n &#x3d; 12,100 (wt%)</th>
<th align="left">P-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">ACEI</td>
<td align="left">11,187 (38)</td>
<td align="left">6,863 (39)</td>
<td align="left">4,324 (35)</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">ARB</td>
<td align="left">6,381 (22)</td>
<td align="left">3,240 (18)</td>
<td align="left">3,141 (26)</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">CCB</td>
<td align="left">9,418 (30)</td>
<td align="left">5,302 (28)</td>
<td align="left">4,116 (32)</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">Diuretics</td>
<td align="left">8,110 (26)</td>
<td align="left">4,699 (26)</td>
<td align="left">3,411 (26)</td>
<td align="left">0.4834</td>
</tr>
<tr>
<td align="left">BB</td>
<td align="left">10,462 (35)</td>
<td align="left">6,169 (36)</td>
<td align="left">4,293 (34)</td>
<td align="left">0.0877</td>
</tr>
<tr>
<td align="left">CAA</td>
<td align="left">793 (2)</td>
<td align="left">514 (3)</td>
<td align="left">279 (2)</td>
<td align="left">0.0191</td>
</tr>
<tr>
<td align="left">APA</td>
<td align="left">792 (3)</td>
<td align="left">505 (3)</td>
<td align="left">287 (2)</td>
<td align="left">0.0018</td>
</tr>
<tr>
<td align="left">ARA</td>
<td align="left">911 (3)</td>
<td align="left">489 (3)</td>
<td align="left">422 (3)</td>
<td align="left">0.0464</td>
</tr>
<tr>
<td align="left">Vasodilator</td>
<td align="left">772 (3)</td>
<td align="left">421 (2)</td>
<td align="left">351 (3)</td>
<td align="left">0.0251</td>
</tr>
<tr>
<td align="left">FDC</td>
<td align="left">5,849 (19)</td>
<td align="left">3,959 (22)</td>
<td align="left">1,890 (16)</td>
<td align="left">&#x3c;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviation: ACC, american college of cardiology; AHA, american heart association; ACEI, Angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blocker; CCB, calcium channel blocker; BB, Beta-blocker; CAA, central alpha agonist; APA, alpha-1 peripherally acting antagonist; ARA, aldosterone receptor antagonist; KSP, Potassium-sparing diuretics; FDC, Fixed-dose combination; wt%, Weighted percentage.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Comparing pre- and post-guidelines periods, significant shifts in antihypertensives prescribing were observed. ARB use increased from 18% to 26% (p &#x3c; 0.0001), and CCB increased from 28% to 32% (p &#x3c; 0.0001). In contrast, ACEI use declined from 39% to 35% (p &#x3c; 0.0001). FDC utilization also decreased from 22% to 16% (p &#x3c; 0.0001) (<xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="table" rid="T2">Table 2</xref>).</p>
<p>Among FDC users, the most common combinations were ARB and thiazide diuretic (33%), ACEI and thiazide diuretic (33%), and potassium-sparing diuretic and thiazide diuretic (15%). While most FDC patterns remained relatively stable over time, BB and thiazide diuretic combination declined sharply (11%&#x2013;3%; p &#x3c; 0.0001), and miscellaneous FDC increased (3%&#x2013;10%; p &#x3c; 0.0001). No temporal changes were observed in dual renin&#x2013;angiotensin system blockade combinations (<xref ref-type="fig" rid="F3">Figure 3</xref>; <xref ref-type="table" rid="T3">Table 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Trend of FDC utilization before and after the 2017 ACC/AHA guidelines implementation. Abbreviation: ACC, American College of Cardiology; AHA, American Heart Association; ACEI, Angiotensin-converting enzyme inhibitors; ARB, Angiotensin receptor blocker; THZ, thiazide diuretics; CCB, Calcium channel blocker; BB, Beta-blocker; KSP, Potassium-sparing diuretics; FDC, Fixed-dose combination.</p>
</caption>
<graphic xlink:href="fphar-17-1787466-g003.tif">
<alt-text content-type="machine-generated">Line graph showing the distribution of fixed-dose combination (FDC) subtypes from 2013 to 2022. ARB-THZ and ACEI-THZ account for the largest shares across years, with ARB-THZ exceeding ACEI-THZ in 2022. ACEI-CCB and KSP-THZ remain  relatively stable across years. BB-THZ decreases over time and approaches zero by 2022. Miscellaneous FDC increases and peaks in 2021 before declining in 2022.</alt-text>
</graphic>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>FDC utilization before and after the 2017 ACC/AHA guidelines implementation.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Antihypertensive class</th>
<th align="left">Overall<break/>N &#x3d; 5,849 (wt%)</th>
<th align="left">Pre-2017 ACC/AHA<break/>Guidelines n &#x3d; 3,959 (wt%)</th>
<th align="left">Post-2017 ACC/AHA<break/>Guidelines n &#x3d; 1,890 (wt%)</th>
<th align="left">P-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">ACEI and thiazide diuretic</td>
<td align="left">1,982 (33)</td>
<td align="left">1,325 (32)</td>
<td align="left">657 (34)</td>
<td align="left">0.3676</td>
</tr>
<tr>
<td align="left">ACEI and CCB</td>
<td align="left">477 (8)</td>
<td align="left">313 (8)</td>
<td align="left">164 (8)</td>
<td align="left">0.7088</td>
</tr>
<tr>
<td align="left">ARB and thiazide diuretic</td>
<td align="left">1,882 (33)</td>
<td align="left">1,215 (32)</td>
<td align="left">667 (35)</td>
<td align="left">0.0894</td>
</tr>
<tr>
<td align="left">BB and thiazide diuretic</td>
<td align="left">506 (8)</td>
<td align="left">440 (11)</td>
<td align="left">66 (3)</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">ARB and CCB</td>
<td align="left">143 (2)</td>
<td align="left">143 (3)</td>
<td align="left">0</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">KSP diuretic and thiazide diuretic</td>
<td align="left">824 (15)</td>
<td align="left">564 (15)</td>
<td align="left">260 (14)</td>
<td align="left">0.2745</td>
</tr>
<tr>
<td align="left">Miscellaneous combination</td>
<td align="left">318 (6)</td>
<td align="left">149 (3)</td>
<td align="left">169 (10)</td>
<td align="left">&#x3c;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviation: ACC, american college of cardiology; AHA, american heart association; ACEI, Angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blocker; CCB, calcium channel blocker; BB, Beta-blocker; KSP, Potassium-sparing diuretics; FDC, Fixed-dose combination; wt%, Weighted percentage.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4">
<label>3.4</label>
<title>Impact of 2017 ACC/AHA guidelines implementation on antihypertensive utilization</title>
<p>The results of multivariable survey-weighted logistic regression models assessing the impact of the 2017 ACC/AHA HTN guidelines on antihypertensive class utilization in the overall population are presented in <xref ref-type="table" rid="T4">Table 4</xref>. Compared with the pre-guidelines period, the post-guidelines period was associated with significantly higher odds of prescribing ARB (OR &#x3d; 1.35, 95% CI: 1.21&#x2013;1.50, p &#x3c; 0.0001) and CCB (OR &#x3d; 1.24, 95% CI: 1.13&#x2013;1.36, p &#x3c; 0.0001). In contrast, prescribing FDC was significantly lower post-guidelines (OR &#x3d; 0.67, 95% CI: 0.59&#x2013;0.75, p &#x3c; 0.0001). No statistically significant changes were observed in ACEI, BB, diuretic, CAA, ARA, APA, or vasodilator utilization.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Impact of 2017 ACC/AHA guidelines implementation on the antihypertensive classes utilization in the overall HTN population.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Antihypertensive class</th>
<th align="left">Odds ratio of antihypertensive utilization post-2017 ACC/AHA guidelines</th>
<th align="left">Lower 95% CI</th>
<th align="left">Upper 95% CI</th>
<th align="left">P-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">ACEI</td>
<td align="left">0.97</td>
<td align="left">0.88</td>
<td align="left">1.07</td>
<td align="left">0.5078</td>
</tr>
<tr>
<td align="left">ARB</td>
<td align="left">1.35</td>
<td align="left">1.21</td>
<td align="left">1.50</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">CCB</td>
<td align="left">1.24</td>
<td align="left">1.13</td>
<td align="left">1.36</td>
<td align="left">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">Diuretic</td>
<td align="left">1.10</td>
<td align="left">0.98</td>
<td align="left">1.22</td>
<td align="left">0.0963</td>
</tr>
<tr>
<td align="left">BB</td>
<td align="left">1.05</td>
<td align="left">0.94</td>
<td align="left">1.16</td>
<td align="left">0.3957</td>
</tr>
<tr>
<td align="left">CAA</td>
<td align="left">0.85</td>
<td align="left">0.67</td>
<td align="left">1.07</td>
<td align="left">0.1692</td>
</tr>
<tr>
<td align="left">APA</td>
<td align="left">0.93</td>
<td align="left">0.74</td>
<td align="left">1.18</td>
<td align="left">0.5569</td>
</tr>
<tr>
<td align="left">ARA</td>
<td align="left">1.14</td>
<td align="left">0.89</td>
<td align="left">1.47</td>
<td align="left">0.3063</td>
</tr>
<tr>
<td align="left">Vasodilator</td>
<td align="left">1.24</td>
<td align="left">0.92</td>
<td align="left">1.67</td>
<td align="left">0.1645</td>
</tr>
<tr>
<td align="left">FDC</td>
<td align="left">0.67</td>
<td align="left">0.59</td>
<td align="left">0.75</td>
<td align="left">&#x3c;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviation: ACC, american college of cardiology; AHA, american heart association; ACEI, Angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blocker; CCB, calcium channel blocker; BB, Beta-blocker; CAA, central alpha agonist; APA, alpha-1 peripherally acting antagonist; ARA, aldosterone receptor antagonist; KSP, Potassium-sparing diuretics; FDC, Fixed-dose combination; CI, confidence interval.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-5">
<label>3.5</label>
<title>Subgroup analyses</title>
<p>Subgroup analyses among individuals with compelling indications are presented in <xref ref-type="table" rid="T5">Table 5</xref>. Because multiple subgroup-by-class comparisons were performed, we controlled for the FDR using the Benjamini&#x2013;Hochberg procedure and report FDR-adjusted q-values. After FDR correction, ARB use increased post-guidelines among patients with diabetes (OR &#x3d; 1.27, 95% CI: 1.07&#x2013;1.51, q &#x3d; 0.0383) and stroke (OR &#x3d; 1.53, 95% CI: 1.14&#x2013;2.05, q &#x3d; 0.0361). CCB utilization increased post-guidelines among Non-Hispanic Black patients (OR &#x3d; 1.47, 95% CI: 1.22&#x2013;1.77, q &#x3d; 0.0031).</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Impact of 2017 ACC/AHA guidelines implementation on the antihypertensive classes utilization in the subgroups.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Antihypertensive class</th>
<th align="left">Odds ratio of antihypertensive utilization post-2017 ACC/AHA guidelines</th>
<th align="left">Lower 95% CI</th>
<th align="left">Upper 95% CI</th>
<th align="left">q-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="5" align="left">Patients with diabetes</td>
</tr>
<tr>
<td align="left">ACEI</td>
<td align="left">1.05</td>
<td align="left">0.89</td>
<td align="left">1.24</td>
<td align="left">0.7643</td>
</tr>
<tr>
<td align="left">ARB</td>
<td align="left">1.27</td>
<td align="left">1.07</td>
<td align="left">1.51</td>
<td align="left">0.0383</td>
</tr>
<tr>
<td align="left">CCB</td>
<td align="left">1.19</td>
<td align="left">1.01</td>
<td align="left">1.41</td>
<td align="left">0.1565</td>
</tr>
<tr>
<td align="left">Diuretic</td>
<td align="left">1.05</td>
<td align="left">0.89</td>
<td align="left">1.24</td>
<td align="left">0.7752</td>
</tr>
<tr>
<td align="left">BB</td>
<td align="left">1.00</td>
<td align="left">0.84</td>
<td align="left">1.20</td>
<td align="left">0.9963</td>
</tr>
<tr>
<td align="left">CAA</td>
<td align="left">0.79</td>
<td align="left">0.56</td>
<td align="left">1.12</td>
<td align="left">0.3932</td>
</tr>
<tr>
<td align="left">APA</td>
<td align="left">0.88</td>
<td align="left">0.57</td>
<td align="left">1.34</td>
<td align="left">0.7643</td>
</tr>
<tr>
<td align="left">ARA</td>
<td align="left">1.42</td>
<td align="left">0.98</td>
<td align="left">2.07</td>
<td align="left">0.2157</td>
</tr>
<tr>
<td align="left">Vasodilator</td>
<td align="left">0.99</td>
<td align="left">0.64</td>
<td align="left">1.52</td>
<td align="left">0.9964</td>
</tr>
<tr>
<td align="left">FDC</td>
<td align="left">0.68</td>
<td align="left">0.55</td>
<td align="left">0.85</td>
<td align="left">0.0121</td>
</tr>
<tr>
<td colspan="5" align="left">Patients with chronic kidney disease</td>
</tr>
<tr>
<td align="left">ACEI</td>
<td align="left">0.86</td>
<td align="left">0.46</td>
<td align="left">1.63</td>
<td align="left">0.8425</td>
</tr>
<tr>
<td align="left">ARB</td>
<td align="left">0.91</td>
<td align="left">0.49</td>
<td align="left">1.67</td>
<td align="left">0.9338</td>
</tr>
<tr>
<td align="left">CCB</td>
<td align="left">1.31</td>
<td align="left">0.76</td>
<td align="left">2.27</td>
<td align="left">0.5840</td>
</tr>
<tr>
<td align="left">Diuretic</td>
<td align="left">0.72</td>
<td align="left">0.43</td>
<td align="left">1.21</td>
<td align="left">0.4935</td>
</tr>
<tr>
<td align="left">BB</td>
<td align="left">0.89</td>
<td align="left">0.46</td>
<td align="left">1.71</td>
<td align="left">0.9332</td>
</tr>
<tr>
<td align="left">CAA</td>
<td align="left">0.96</td>
<td align="left">0.46</td>
<td align="left">1.99</td>
<td align="left">0.9964</td>
</tr>
<tr>
<td align="left">APA</td>
<td align="left">0.34</td>
<td align="left">0.13</td>
<td align="left">0.88</td>
<td align="left">0.1501</td>
</tr>
<tr>
<td align="left">ARA</td>
<td align="left">8.29</td>
<td align="left">2.31</td>
<td align="left">29.79</td>
<td align="left">0.0281</td>
</tr>
<tr>
<td align="left">Vasodilator</td>
<td align="left">1.83</td>
<td align="left">0.64</td>
<td align="left">5.28</td>
<td align="left">0.4792</td>
</tr>
<tr>
<td align="left">FDC</td>
<td align="left">0.58</td>
<td align="left">0.28</td>
<td align="left">1.21</td>
<td align="left">0.4241</td>
</tr>
<tr>
<td colspan="5" align="left">Patients with heart failure</td>
</tr>
<tr>
<td align="left">ACEI</td>
<td align="left">0.78</td>
<td align="left">0.48</td>
<td align="left">1.27</td>
<td align="left">0.5839</td>
</tr>
<tr>
<td align="left">ARB</td>
<td align="left">1.56</td>
<td align="left">1.02</td>
<td align="left">2.28</td>
<td align="left">0.2393</td>
</tr>
<tr>
<td align="left">CCB</td>
<td align="left">1.06</td>
<td align="left">0.69</td>
<td align="left">1.63</td>
<td align="left">0.9803</td>
</tr>
<tr>
<td align="left">Diuretic</td>
<td align="left">1.51</td>
<td align="left">0.92</td>
<td align="left">2.44</td>
<td align="left">0.2897</td>
</tr>
<tr>
<td align="left">BB</td>
<td align="left">1.00</td>
<td align="left">0.57</td>
<td align="left">1.77</td>
<td align="left">0.9964</td>
</tr>
<tr>
<td align="left">CAA</td>
<td align="left">0.42</td>
<td align="left">0.13</td>
<td align="left">1.39</td>
<td align="left">0.4199</td>
</tr>
<tr>
<td align="left">APA</td>
<td align="left">0.67</td>
<td align="left">0.06</td>
<td align="left">7.53</td>
<td align="left">0.9332</td>
</tr>
<tr>
<td align="left">ARA</td>
<td align="left">2.60</td>
<td align="left">1.51</td>
<td align="left">4.47</td>
<td align="left">0.0378</td>
</tr>
<tr>
<td align="left">Vasodilator</td>
<td align="left">0.68</td>
<td align="left">0.37</td>
<td align="left">1.24</td>
<td align="left">0.5839</td>
</tr>
<tr>
<td align="left">FDC</td>
<td align="left">0.27</td>
<td align="left">0.10</td>
<td align="left">0.73</td>
<td align="left">0.0752</td>
</tr>
<tr>
<td colspan="5" align="left">Patients with myocardial infarction</td>
</tr>
<tr>
<td align="left">ACEI</td>
<td align="left">0.69</td>
<td align="left">0.53</td>
<td align="left">0.91</td>
<td align="left">0.0394</td>
</tr>
<tr>
<td align="left">ARB</td>
<td align="left">1.26</td>
<td align="left">0.94</td>
<td align="left">1.68</td>
<td align="left">0.2897</td>
</tr>
<tr>
<td align="left">CCB</td>
<td align="left">1.08</td>
<td align="left">0.81</td>
<td align="left">1.45</td>
<td align="left">0.7910</td>
</tr>
<tr>
<td align="left">Diuretic</td>
<td align="left">0.89</td>
<td align="left">0.68</td>
<td align="left">1.16</td>
<td align="left">0.5839</td>
</tr>
<tr>
<td align="left">BB</td>
<td align="left">1.48</td>
<td align="left">1.08</td>
<td align="left">2.03</td>
<td align="left">0.0752</td>
</tr>
<tr>
<td align="left">CAA</td>
<td align="left">1.04</td>
<td align="left">0.58</td>
<td align="left">1.89</td>
<td align="left">0.9868</td>
</tr>
<tr>
<td align="left">APA</td>
<td align="left">1.03</td>
<td align="left">0.57</td>
<td align="left">1.83</td>
<td align="left">0.9963</td>
</tr>
<tr>
<td align="left">ARA</td>
<td align="left">1.18</td>
<td align="left">0.80</td>
<td align="left">1.73</td>
<td align="left">0.6064</td>
</tr>
<tr>
<td align="left">Vasodilator</td>
<td align="left">0.66</td>
<td align="left">0.40</td>
<td align="left">1.09</td>
<td align="left">0.2738</td>
</tr>
<tr>
<td align="left">FDC</td>
<td align="left">0.76</td>
<td align="left">0.52</td>
<td align="left">1.10</td>
<td align="left">0.3153</td>
</tr>
<tr>
<td colspan="5" align="left">Non-hispanic black</td>
</tr>
<tr>
<td align="left">ACEI</td>
<td align="left">0.76</td>
<td align="left">0.62</td>
<td align="left">0.93</td>
<td align="left">0.0383</td>
</tr>
<tr>
<td align="left">ARB</td>
<td align="left">1.34</td>
<td align="left">1.06</td>
<td align="left">1.71</td>
<td align="left">0.0751</td>
</tr>
<tr>
<td align="left">CCB</td>
<td align="left">1.47</td>
<td align="left">1.22</td>
<td align="left">1.77</td>
<td align="left">0.0031</td>
</tr>
<tr>
<td align="left">Diuretic</td>
<td align="left">1.15</td>
<td align="left">0.94</td>
<td align="left">1.42</td>
<td align="left">0.3770</td>
</tr>
<tr>
<td align="left">BB</td>
<td align="left">0.98</td>
<td align="left">0.81</td>
<td align="left">1.19</td>
<td align="left">0.9868</td>
</tr>
<tr>
<td align="left">CAA</td>
<td align="left">0.52</td>
<td align="left">0.37</td>
<td align="left">0.73</td>
<td align="left">0.0061</td>
</tr>
<tr>
<td align="left">APA</td>
<td align="left">0.79</td>
<td align="left">0.47</td>
<td align="left">1.31</td>
<td align="left">0.5840</td>
</tr>
<tr>
<td align="left">ARA</td>
<td align="left">0.96</td>
<td align="left">0.64</td>
<td align="left">1.43</td>
<td align="left">0.9868</td>
</tr>
<tr>
<td align="left">Vasodilator</td>
<td align="left">0.70</td>
<td align="left">0.47</td>
<td align="left">1.04</td>
<td align="left">0.2393</td>
</tr>
<tr>
<td align="left">FDC</td>
<td align="left">0.71</td>
<td align="left">0.56</td>
<td align="left">0.88</td>
<td align="left">0.0281</td>
</tr>
<tr>
<td colspan="5" align="left">Patients with coronary heart disease</td>
</tr>
<tr>
<td align="left">ACEI</td>
<td align="left">0.80</td>
<td align="left">0.64</td>
<td align="left">1.01</td>
<td align="left">0.2143</td>
</tr>
<tr>
<td align="left">ARB</td>
<td align="left">1.29</td>
<td align="left">0.99</td>
<td align="left">1.70</td>
<td align="left">0.2143</td>
</tr>
<tr>
<td align="left">CCB</td>
<td align="left">1.00</td>
<td align="left">0.78</td>
<td align="left">1.28</td>
<td align="left">0.9964</td>
</tr>
<tr>
<td align="left">Diuretic</td>
<td align="left">0.99</td>
<td align="left">0.77</td>
<td align="left">1.28</td>
<td align="left">0.9964</td>
</tr>
<tr>
<td align="left">BB</td>
<td align="left">1.26</td>
<td align="left">0.95</td>
<td align="left">1.68</td>
<td align="left">0.2738</td>
</tr>
<tr>
<td align="left">CAA</td>
<td align="left">0.73</td>
<td align="left">0.45</td>
<td align="left">1.19</td>
<td align="left">0.4029</td>
</tr>
<tr>
<td align="left">APA</td>
<td align="left">0.65</td>
<td align="left">0.37</td>
<td align="left">1.12</td>
<td align="left">0.2897</td>
</tr>
<tr>
<td align="left">ARA</td>
<td align="left">1.04</td>
<td align="left">0.66</td>
<td align="left">1.64</td>
<td align="left">0.9868</td>
</tr>
<tr>
<td align="left">Vasodilator</td>
<td align="left">0.78</td>
<td align="left">0.47</td>
<td align="left">1.29</td>
<td align="left">0.5640</td>
</tr>
<tr>
<td align="left">FDC</td>
<td align="left">0.58</td>
<td align="left">0.40</td>
<td align="left">0.84</td>
<td align="left">0.0347</td>
</tr>
<tr>
<td colspan="5" align="left">Patients with stroke</td>
</tr>
<tr>
<td align="left">ACEI</td>
<td align="left">0.88</td>
<td align="left">0.67</td>
<td align="left">1.16</td>
<td align="left">0.5839</td>
</tr>
<tr>
<td align="left">ARB</td>
<td align="left">1.53</td>
<td align="left">1.14</td>
<td align="left">2.05</td>
<td align="left">0.0361</td>
</tr>
<tr>
<td align="left">CCB</td>
<td align="left">1.15</td>
<td align="left">0.91</td>
<td align="left">1.44</td>
<td align="left">0.4585</td>
</tr>
<tr>
<td align="left">Diuretic</td>
<td align="left">1.27</td>
<td align="left">0.93</td>
<td align="left">1.74</td>
<td align="left">0.2897</td>
</tr>
<tr>
<td align="left">BB</td>
<td align="left">1.24</td>
<td align="left">0.96</td>
<td align="left">1.62</td>
<td align="left">0.2738</td>
</tr>
<tr>
<td align="left">CAA</td>
<td align="left">0.46</td>
<td align="left">0.27</td>
<td align="left">0.81</td>
<td align="left">0.0383</td>
</tr>
<tr>
<td align="left">APA</td>
<td align="left">1.15</td>
<td align="left">0.65</td>
<td align="left">2.01</td>
<td align="left">0.8358</td>
</tr>
<tr>
<td align="left">ARA</td>
<td align="left">1.69</td>
<td align="left">1.00</td>
<td align="left">2.85</td>
<td align="left">0.1858</td>
</tr>
<tr>
<td align="left">Vasodilator</td>
<td align="left">0.96</td>
<td align="left">0.54</td>
<td align="left">1.70</td>
<td align="left">0.9868</td>
</tr>
<tr>
<td align="left">FDC</td>
<td align="left">0.57</td>
<td align="left">0.38</td>
<td align="left">0.85</td>
<td align="left">0.0291</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviation: ACC, american college of cardiology; AHA, american heart association; ACEI, Angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blocker; CCB, calcium channel blocker; BB, Beta-blocker; CAA, central alpha agonist; APA, alpha-1 peripherally acting antagonist; ARA, aldosterone receptor antagonist; KSP, Potassium-sparing diuretics; FDC, Fixed-dose combination; CI, confidence interval.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>FDC use decreased across majority of subgroups, including those with diabetes (OR &#x3d; 0.68, 95% CI: 0.55&#x2013;0.85, q &#x3d; 0.0121), stroke (OR &#x3d; 0.57, 95% CI: 0.38&#x2013;0.85, q &#x3d; 0.0291), coronary heart disease (OR &#x3d; 0.58, 95% CI: 0.40&#x2013;0.84, q &#x3d; 0.0347), and Non-Hispanic Black patients (OR &#x3d; 0.71, 95% CI: 0.56&#x2013;0.88, q &#x3d; 0.0281). Moreover, ACEI use declined in Non-Hispanic Black patients (OR &#x3d; 0.76, 95% CI: 0.62&#x2013;0.93, q &#x3d; 0.0383) and patients with myocardial infarction (OR &#x3d; 0.69, 95% CI: 0.53&#x2013;0.91, q &#x3d; 0.0394). ARA use increased among CKD patients (OR &#x3d; 8.29, 95% CI: 2.31&#x2013;29.79, q &#x3d; 0.0281) and heart failure patients (OR &#x3d; 2.60, 95% CI: 1.51&#x2013;4.47, q &#x3d; 0.0378).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<p>Despite major changes in HTN guidelines over the past decade, national trends in antihypertensive prescribing patterns, particularly following the 2017 ACC/AHA guidelines update, remain uncharacterized. Most post-guidelines studies have focused on HTN prevalence, control, or treatment eligibility, rather than longitudinal changes in medication utilization. Furthermore, the existing evidence on antihypertensive use after the 2017 ACC/AHA guidelines has relied on data only through 2019 from non&#x2013;nationally representative cohorts, leaving a gap in understanding long-term, population-level prescribing patterns (<xref ref-type="bibr" rid="B6">Dorans et al., 2018</xref>; <xref ref-type="bibr" rid="B20">Muntner et al., 2018</xref>; <xref ref-type="bibr" rid="B13">Khera et al., 2018</xref>; <xref ref-type="bibr" rid="B10">Hussain et al., 2022</xref>; <xref ref-type="bibr" rid="B16">Lin et al., 2024</xref>). To address this, we conducted a nationally representative analysis using MEPS data from 2013 to 2022 to evaluate changes in antihypertensive utilization before and after the 2017 ACC/AHA guidelines release. The results showed significant changes in antihypertensive prescribing patterns following the guidelines update. The use of ARB and CCB increased, whereas the use of FDC therapies declined. Other drug classes showed minimal but not statistically significant change. These findings suggest a partial alignment between real-world prescribing and guidelines recommendations, while also highlighting a persistent gap in the optimal management of HTN.</p>
<p>Following the 2017 ACC/AHA guidelines update, ARB use increased significantly among US adults with treated HTN. This trend reflects the evolving clinical practice shaped by ARB efficacy, tolerability, and accessibility. Although both ACEI and ARB are recommended as first-line agents, ARB are associated with a lower incidence of cough and angioedema, adverse effects that frequently lead to ACEI discontinuation (<xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>; <xref ref-type="bibr" rid="B3">Chen et al., 2021</xref>; <xref ref-type="bibr" rid="B15">Li et al., 2014</xref>). This favorable safety profile may have contributed to ARB being increasingly prescribed, particularly for patients with prior ACEI intolerance or when clinicians anticipate adherence challenges. A recent observational study supports this trend. Lin et al. (2024), analyzing large EHR datasets, demonstrated a significant post-2017 ACC/AHA guidelines rise in ARB prescriptions, concurrent with a decline in ACEI use in hypertensive patients (<xref ref-type="bibr" rid="B16">Lin et al., 2024</xref>). Cost and accessibility factors may also explain this trend, as numerous ARB agents became available in generic forms after patent expirations, reducing financial barriers for both patients and payers (<xref ref-type="bibr" rid="B5">Cooper-DeHoff and Elliott, 2013</xref>). Beyond tolerability and affordability, ARB provides BP-lowering efficacy comparable to ACEI, with accumulating evidence supporting similar cardiovascular and renal protective effects (<xref ref-type="bibr" rid="B3">Chen et al., 2021</xref>).</p>
<p>In parallel, we observed an increase in CCB utilization following the 2017 ACC/AHA guidelines update. This finding is consistent with prior observational studies reporting increased CCB prescribing in the post-guidelines era (<xref ref-type="bibr" rid="B16">Lin et al., 2024</xref>). CCB has long been recommended as a first-line agent for the Non-Hispanic Black population in both the JNC 8 and 2017 ACC/AHA guidelines, given their robust evidence of BP-lowering efficacy and favorable cardiovascular outcomes (<xref ref-type="bibr" rid="B12">James et al., 2014</xref>; <xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>). The broad availability of long-acting, generic CCBs such as amlodipine has enhanced affordability and accessibility, likely contributing to the increased use (<xref ref-type="bibr" rid="B11">Jacobs et al., 2024</xref>). Furthermore, CCBs are generally well tolerated, offer convenient once-daily dosing, and have low discontinuation rates, making them attractive options for long-term HTN management (<xref ref-type="bibr" rid="B14">Koracevic et al., 2015</xref>). The observed increase in CCB prescribing may also reflect the clinician&#x2019;s preference for agents with fewer metabolic adverse effects, particularly among patients with diabetes or dyslipidemia risk (<xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>).</p>
<p>Major HTN guidelines, including the 2017 ACC/AHA and European Society of Cardiology/European Society of HTN, advocate FDC use as initial or early add-on therapy, due to strong evidence that FDC improves medication adherence by 15%, simplifies regimens, and is associated with better BP control and improved cardiovascular outcomes (<xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>; <xref ref-type="bibr" rid="B17">McEvoy et al., 2024</xref>; <xref ref-type="bibr" rid="B7">Du et al., 2018</xref>). Despite this, our study showed a significant decline in FDC utilization following the 2017 ACC/AHA guideline, representing a concerning gap between the recommended guidelines and real-world practice (<xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>). Consistent with our findings, a recent study reported a reduction in FDC antihypertensive utilization from 11% to 9% in 2018&#x2013;2019, compared with the 2015&#x2013;2017 period (<xref ref-type="bibr" rid="B16">Lin et al., 2024</xref>). Similarly, a recent nationally representative analysis demonstrated a decline in FDC antihypertensives use between 2009 and 2020 from 35.8% to 25.8% (<xref ref-type="bibr" rid="B19">Mobley et al., 2023</xref>). Some barriers may explain this decline in FDC use. One of the barriers is the prescribers&#x2019; preference for flexible, individualized dose titration and treatment intensification; clinicians often favor separate agents so each drug can be adjusted independently, which is not always feasible with available FDC. Clinical inertia may further limit FDC adoption, especially among patients already stable on multi-pill regimens. Additionally, a lack of familiarity with the growing number of FDC options may limit prescribing FDC (<xref ref-type="bibr" rid="B8">Essa et al., 2024</xref>). Finally, some prescribers are concerned about distinguishing side effects when prescribing FDC (<xref ref-type="bibr" rid="B8">Essa et al., 2024</xref>).</p>
<p>Beyond clinician-level factors, several health system and policy barriers likely contribute to the decline in FDC prescribing. Formulary restrictions and incomplete inclusion of many antihypertensive FDCs on public and private formularies can limit access to guideline-preferred combinations or specific dose strengths, and in some cases, place them on higher cost-sharing tiers (<xref ref-type="bibr" rid="B21">O&#x27;Hagan et al., 2024</xref>). Insurance coverage policies and prior authorization requirements may further discourage routine FDC use when separate agents are more easily approved (<xref ref-type="bibr" rid="B1">An et al., 2020</xref>). Additionally, although several FDCs are now available as generics, many clinically preferred combinations and strengths are still not commercially available, which constrains prescribers&#x2019; ability to align real-world regimens with guideline-recommended single-pill combinations (<xref ref-type="bibr" rid="B1">An et al., 2020</xref>). These system-level barriers, together with clinician preferences and treatment inertia, likely contribute to the declining FDC use we observed despite strong evidence and guideline support for their role in improving adherence and BP control.</p>
<p>Subgroup analyses revealed prescribing patterns largely concordant with guidelines recommendations and established clinical evidence. Increased CCB use among non-Hispanic Black adults aligns with evidence demonstrating superior BP reduction and cardiovascular outcomes in this population (<xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Officers, 2002</xref>). Similarly, increased ARB utilization among individuals with diabetes and stroke reflects the translation of evidence-based, organ-protective strategies into routine practice, as recommended by the guidelines (<xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>). The decline in ACEI use among Black adults is both guideline-concordant and clinically appropriate, acknowledging the lower efficacy of ACEI and increased risk of cough and angioedema in this population (<xref ref-type="bibr" rid="B28">Whelton et al., 2017</xref>; <xref ref-type="bibr" rid="B23">Ogedegbe et al., 2015</xref>; <xref ref-type="bibr" rid="B26">Reichman et al., 2017</xref>). In addition, the increased use of ARA among CKD and heart failure patients demonstrates greater adoption of therapies proven to reduce morbidity and mortality in these patients (<xref ref-type="bibr" rid="B24">Pitt et al., 1999</xref>; <xref ref-type="bibr" rid="B30">Zannad et al., 2011</xref>; <xref ref-type="bibr" rid="B2">Bakris et al., 2020</xref>; <xref ref-type="bibr" rid="B25">Pitt et al., 2021</xref>). FDC use decreased across the majority of the subgroups. Collectively, these subgroup findings highlight encouraging improvements in adherence with guidelines recommendations, but also reveal a persistent gap, particularly the underuse of FDC.</p>
<p>These findings have important implications for clinical practice and health policy. The increased use of ARB and CCB suggests meaningful progress toward implementing evidence-based care that is likely to enhance BP control and cardiovascular risk reduction. However, the persistent decline in FDC antihypertensive utilization across the cohort signals a missed opportunity to improve medication adherence and BP control, especially in those with multiple comorbidities, who require multi-drug therapeutic strategies and are at greater risk of adverse cardiovascular outcomes. Given the strong evidence supporting FDC for simplifying therapy and improving clinical outcomes, this trend emphasizes the need for targeted provider education and health system interventions to promote appropriate FDC use. Further research and policy efforts are needed to identify and address barriers to FDC adoption.</p>
<p>This study has some limitations that warrant consideration. First, antihypertensive medication use was identified through self-report and prescription fill data; although MEPS includes validated pharmacy records, prescription fills do not guarantee medication adherence, potentially leading to misclassification of true drug exposure. Second, the dataset offers limited insight into the clinical rationale behind prescribing decisions, such as intolerance, medication cost, or formulary availability, making it challenging to interpret prescribing shifts. Third, we did not distinguish between incident and prevalent HTN or account for baseline BP severity or timing of treatment initiation, which may influence medication selection. Also, as MEPS lacks BP measurements to allow for stage 1 and stage 2 HTN classification, we could not determine whether the observed increase in ARB and CCB use occurred among patients with stage 1 HTN newly targeted for treatment under the 2017 guideline. Fourth, while major comorbidities such as diabetes, heart failure, and CKD were captured, MEPS lacks granular clinical detail (e.g., left ventricular ejection fraction, proteinuria, or stroke subtype), limiting the ability to assess appropriateness of therapy relative to guideline-based indications. Fifth, MEPS does not contain a complete list of FDC products. Sixth, the observed post-guidelines increase in antihypertensives utilization may reflect changes in prescriber behavior, a larger pool of patients qualifying for therapy, or both, after the 2017 ACC/AHA guidelines lowered diagnostic and treatment threshold. Lastly, despite robust multivariable adjustment, unmeasured confounding, such as provider preference, patient preferences, or institutional prescribing policies, may still bias the associations observed. Despite these limitations, this study offers several notable strengths. The study provided a nationally representative assessment of antihypertensive prescribing patterns among US adults with treated HTN. The decade-long study period allowed for a robust pre- and post-guidelines comparison that captures changes in prescribing behavior following the 2017 ACC/AHA HTN guidelines update. Inclusion of a broad range of antihypertensive classes and clinically relevant subgroups enabled a comprehensive assessment of real-world prescribing patterns.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<label>5</label>
<title>Conclusion</title>
<p>Our study showed both encouraging progress and persistent gaps in antihypertensive prescribing following the release of 2017 ACC/AHA HTN guidelines. The observed increase in ARB and CCB use reflects progress toward more evidence-based HTN management. In contrast, the decline in FDC utilization in the cohort represents a missed opportunity for improving adherence, BP control, and ultimately cardiovascular outcomes, especially in patients with multiple comorbidities. These findings highlight the need for enhanced provider education, targeted health system interventions, and supportive policy efforts to bridge the gap between clinical guidelines and real-world practice.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <ext-link ext-link-type="uri" xlink:href="https://meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp">https://meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>This study used publicly available, de-identified data from the Medical Expenditure Panel Survey. As the dataset is de-identified and publicly available, institutional review board approval and informed consent were not required.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>EJ: Resources, Formal Analysis, Visualization, Supervision, Funding acquisition, Project administration, Writing &#x2013; original draft, Software, Data curation, Investigation, Methodology, Writing &#x2013; review and editing, Conceptualization, Validation.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>The authors acknowledge the Agency for Healthcare Research and Quality for making the Medical Expenditure Panel Survey data publicly available.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s13">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2026.1787466/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2026.1787466/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>An</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Derington</surname>
<given-names>C. G.</given-names>
</name>
<name>
<surname>Luong</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Olson</surname>
<given-names>K. L.</given-names>
</name>
<name>
<surname>King</surname>
<given-names>J. B.</given-names>
</name>
<name>
<surname>Bress</surname>
<given-names>A. P.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Fixed-dose combination medications for treating hypertension: a review of effectiveness, safety, and challenges</article-title>. <source>Curr. Hypertens. Rep.</source> <volume>22</volume> (<issue>11</issue>), <fpage>95</fpage>. <pub-id pub-id-type="doi">10.1007/s11906-020-01109-2</pub-id>
<pub-id pub-id-type="pmid">33052522</pub-id>
</mixed-citation>
</ref>
<ref id="B2">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bakris</surname>
<given-names>G. L.</given-names>
</name>
<name>
<surname>Agarwal</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Anker</surname>
<given-names>S. D.</given-names>
</name>
<name>
<surname>Pitt</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Ruilope</surname>
<given-names>L. M.</given-names>
</name>
<name>
<surname>Rossing</surname>
<given-names>P.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Effect of finerenone on chronic kidney disease outcomes in type 2 diabetes</article-title>. <source>N. Engl. J. Med.</source> <volume>383</volume> (<issue>23</issue>), <fpage>2219</fpage>&#x2013;<lpage>2229</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMoa2025845</pub-id>
<pub-id pub-id-type="pmid">33264825</pub-id>
</mixed-citation>
</ref>
<ref id="B3">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Suchard</surname>
<given-names>M. A.</given-names>
</name>
<name>
<surname>Krumholz</surname>
<given-names>H. M.</given-names>
</name>
<name>
<surname>Schuemie</surname>
<given-names>M. J.</given-names>
</name>
<name>
<surname>Shea</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Duke</surname>
<given-names>J.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Comparative first-line effectiveness and safety of ACE (Angiotensin-Converting enzyme) inhibitors and angiotensin receptor blockers: a multinational cohort study</article-title>. <source>Hypertension</source> <volume>78</volume> (<issue>3</issue>), <fpage>591</fpage>&#x2013;<lpage>603</lpage>. <pub-id pub-id-type="doi">10.1161/HYPERTENSIONAHA.120.16667</pub-id>
<pub-id pub-id-type="pmid">34304580</pub-id>
</mixed-citation>
</ref>
<ref id="B4">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chobanian</surname>
<given-names>A. V.</given-names>
</name>
<name>
<surname>Bakris</surname>
<given-names>G. L.</given-names>
</name>
<name>
<surname>Black</surname>
<given-names>H. R.</given-names>
</name>
<name>
<surname>Cushman</surname>
<given-names>W. C.</given-names>
</name>
<name>
<surname>Green</surname>
<given-names>L. A.</given-names>
</name>
<name>
<surname>Izzo</surname>
<given-names>J. L.</given-names>
<suffix>Jr.</suffix>
</name>
<etal/>
</person-group> (<year>2003</year>). <article-title>Seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure</article-title>. <source>Hypertension</source> <volume>42</volume> (<issue>6</issue>), <fpage>1206</fpage>&#x2013;<lpage>1252</lpage>. <pub-id pub-id-type="doi">10.1161/01.HYP.0000107251.49515.c2</pub-id>
<pub-id pub-id-type="pmid">14656957</pub-id>
</mixed-citation>
</ref>
<ref id="B5">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cooper-DeHoff</surname>
<given-names>R. M.</given-names>
</name>
<name>
<surname>Elliott</surname>
<given-names>W. J.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Generic drugs for hypertension: are they really equivalent?</article-title> <source>Curr. Hypertens. Rep.</source> <volume>15</volume> (<issue>4</issue>), <fpage>340</fpage>&#x2013;<lpage>345</lpage>. <pub-id pub-id-type="doi">10.1007/s11906-013-0353-4</pub-id>
<pub-id pub-id-type="pmid">23700299</pub-id>
</mixed-citation>
</ref>
<ref id="B6">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dorans</surname>
<given-names>K. S.</given-names>
</name>
<name>
<surname>Mills</surname>
<given-names>K. T.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>He</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Trends in prevalence and control of hypertension according to the 2017 American college of cardiology/american heart association (ACC/AHA) guideline</article-title>. <source>J. Am. Heart Assoc.</source> <volume>7</volume> (<issue>11</issue>). <pub-id pub-id-type="doi">10.1161/JAHA.118.008888</pub-id>
<pub-id pub-id-type="pmid">29858369</pub-id>
</mixed-citation>
</ref>
<ref id="B7">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Du</surname>
<given-names>L. P.</given-names>
</name>
<name>
<surname>Cheng</surname>
<given-names>Z. W.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Y. X.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Mei</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>The impact of fixed-dose combination <italic>versus</italic> free-equivalent combination therapies on adherence for hypertension: a meta-analysis</article-title>. <source>J. Clin. Hypertens. (Greenwich)</source> <volume>20</volume> (<issue>5</issue>), <fpage>902</fpage>&#x2013;<lpage>907</lpage>. <pub-id pub-id-type="doi">10.1111/jch.13272</pub-id>
<pub-id pub-id-type="pmid">29700923</pub-id>
</mixed-citation>
</ref>
<ref id="B8">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Essa</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Ross</surname>
<given-names>J. S.</given-names>
</name>
<name>
<surname>Dhruva</surname>
<given-names>S. S.</given-names>
</name>
<name>
<surname>Desai</surname>
<given-names>N. R.</given-names>
</name>
<name>
<surname>Spatz</surname>
<given-names>E. S.</given-names>
</name>
<name>
<surname>Faridi</surname>
<given-names>K. F.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Utilization of fixed-dose combination treatment for hypertension in medicare and medicaid from 2016 to 2020</article-title>. <source>Circ. Cardiovasc Qual. Outcomes</source> <volume>17</volume> (<issue>5</issue>), <fpage>e010697</fpage>. <pub-id pub-id-type="doi">10.1161/CIRCOUTCOMES.123.010697</pub-id>
<pub-id pub-id-type="pmid">38712553</pub-id>
</mixed-citation>
</ref>
<ref id="B9">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Fryar</surname>
<given-names>C. D.</given-names>
</name>
<name>
<surname>Kit</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Carroll</surname>
<given-names>M. D.</given-names>
</name>
<name>
<surname>Afful</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Hypertension prevalence, awareness, treatment, and control among adults age 18 and older: United States, August 2021&#x2013;August 2023</article-title>. <source>NCHS Data Brief</source> <fpage>511</fpage>. <pub-id pub-id-type="doi">10.15620/cdc/164016</pub-id>
</mixed-citation>
</ref>
<ref id="B10">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hussain</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Virani</surname>
<given-names>S. S.</given-names>
</name>
<name>
<surname>Zheng</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Gluckman</surname>
<given-names>T. J.</given-names>
</name>
<name>
<surname>Borden</surname>
<given-names>W. B.</given-names>
</name>
<name>
<surname>Masoudi</surname>
<given-names>F. A.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Potential impact of 2017 American college of cardiology/american heart association hypertension guideline on contemporary practice: a cross-sectional analysis from NCDR PINNACLE registry</article-title>. <source>J. Am. Heart Assoc.</source> <volume>11</volume> (<issue>11</issue>), <fpage>e024107</fpage>. <pub-id pub-id-type="doi">10.1161/JAHA.121.024107</pub-id>
<pub-id pub-id-type="pmid">35656989</pub-id>
</mixed-citation>
</ref>
<ref id="B11">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jacobs</surname>
<given-names>J. A.</given-names>
</name>
<name>
<surname>Rodgers</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Bellows</surname>
<given-names>B. K.</given-names>
</name>
<name>
<surname>Hernandez</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Derington</surname>
<given-names>C. G.</given-names>
</name>
<etal/>
</person-group> (<year>2024</year>). <article-title>Use and cost patterns of antihypertensive medications in the United States from 1996 to 2021</article-title>. <source>Hypertension</source> <volume>81</volume> (<issue>11</issue>), <fpage>2307</fpage>&#x2013;<lpage>2317</lpage>. <pub-id pub-id-type="doi">10.1161/HYPERTENSIONAHA.124.23509</pub-id>
<pub-id pub-id-type="pmid">39229724</pub-id>
</mixed-citation>
</ref>
<ref id="B12">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>James</surname>
<given-names>P. A.</given-names>
</name>
<name>
<surname>Oparil</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Carter</surname>
<given-names>B. L.</given-names>
</name>
<name>
<surname>Cushman</surname>
<given-names>W. C.</given-names>
</name>
<name>
<surname>Dennison-Himmelfarb</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Handler</surname>
<given-names>J.</given-names>
</name>
<etal/>
</person-group> (<year>2014</year>). <article-title>2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the eighth joint national committee (JNC 8)</article-title>. <source>JAMA</source> <volume>311</volume> (<issue>5</issue>), <fpage>507</fpage>&#x2013;<lpage>520</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2013.284427</pub-id>
<pub-id pub-id-type="pmid">24352797</pub-id>
</mixed-citation>
</ref>
<ref id="B13">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khera</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Lu</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Lu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Saxena</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Nasir</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Jiang</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Impact of 2017 ACC/AHA guidelines on prevalence of hypertension and eligibility for antihypertensive treatment in United States and China: nationally representative cross sectional study</article-title>. <source>BMJ</source> <volume>362</volume>, <fpage>k2357</fpage>. <pub-id pub-id-type="doi">10.1136/bmj.k2357</pub-id>
<pub-id pub-id-type="pmid">29997129</pub-id>
</mixed-citation>
</ref>
<ref id="B14">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Koracevic</surname>
<given-names>G. P.</given-names>
</name>
<name>
<surname>Dakic</surname>
<given-names>S. S.</given-names>
</name>
<name>
<surname>Velickovic-Radovanovic</surname>
<given-names>R. M.</given-names>
</name>
<name>
<surname>Apostolovic</surname>
<given-names>S. R.</given-names>
</name>
<name>
<surname>Krstic</surname>
<given-names>N. H.</given-names>
</name>
<name>
<surname>Tasic</surname>
<given-names>I. S.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>Amlodipine as an antiischemic drug is superior to long acting nitrates</article-title>. <source>Open Med. (Wars)</source> <volume>10</volume> (<issue>1</issue>), <fpage>50</fpage>&#x2013;<lpage>56</lpage>. <pub-id pub-id-type="doi">10.1515/med-2015-0011</pub-id>
<pub-id pub-id-type="pmid">28352677</pub-id>
</mixed-citation>
</ref>
<ref id="B15">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname>
<given-names>E. C.</given-names>
</name>
<name>
<surname>Heran</surname>
<given-names>B. S.</given-names>
</name>
<name>
<surname>Wright</surname>
<given-names>J. M.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Angiotensin converting enzyme (ACE) inhibitors <italic>versus</italic> angiotensin receptor blockers for primary hypertension</article-title>. <source>Cochrane Database Syst. Rev.</source> <volume>2014</volume> (<issue>8</issue>), <fpage>CD009096</fpage>. <pub-id pub-id-type="doi">10.1002/14651858.CD009096.pub2</pub-id>
<pub-id pub-id-type="pmid">25148386</pub-id>
</mixed-citation>
</ref>
<ref id="B16">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname>
<given-names>P. D.</given-names>
</name>
<name>
<surname>Rifas-Shiman</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Merriman</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Petimar</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Yu</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Daley</surname>
<given-names>M. F.</given-names>
</name>
<etal/>
</person-group> (<year>2024</year>). <article-title>Trends of antihypertensive prescription among US adults from 2010 to 2019 and changes following treatment guidelines: analysis of multicenter electronic health records</article-title>. <source>J. Am. Heart Assoc.</source> <volume>13</volume> (<issue>9</issue>), <fpage>e032197</fpage>. <pub-id pub-id-type="doi">10.1161/JAHA.123.032197</pub-id>
<pub-id pub-id-type="pmid">38639340</pub-id>
</mixed-citation>
</ref>
<ref id="B17">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>McEvoy</surname>
<given-names>J. W.</given-names>
</name>
<name>
<surname>McCarthy</surname>
<given-names>C. P.</given-names>
</name>
<name>
<surname>Bruno</surname>
<given-names>R. M.</given-names>
</name>
<name>
<surname>Brouwers</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Canavan</surname>
<given-names>M. D.</given-names>
</name>
<name>
<surname>Ceconi</surname>
<given-names>C.</given-names>
</name>
<etal/>
</person-group> (<year>2024</year>). <article-title>2024 ESC guidelines for the management of elevated blood pressure and hypertension</article-title>. <source>Eur. Heart J.</source> <volume>45</volume> (<issue>38</issue>), <fpage>3912</fpage>&#x2013;<lpage>4018</lpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehae178</pub-id>
<pub-id pub-id-type="pmid">39210715</pub-id>
</mixed-citation>
</ref>
<ref id="B18">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mills</surname>
<given-names>K. T.</given-names>
</name>
<name>
<surname>Stefanescu</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>He</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>The global epidemiology of hypertension</article-title>. <source>Nat. Rev. Nephrol.</source> <volume>16</volume> (<issue>4</issue>), <fpage>223</fpage>&#x2013;<lpage>237</lpage>. <pub-id pub-id-type="doi">10.1038/s41581-019-0244-2</pub-id>
<pub-id pub-id-type="pmid">32024986</pub-id>
</mixed-citation>
</ref>
<ref id="B19">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mobley</surname>
<given-names>C. M.</given-names>
</name>
<name>
<surname>Bryan</surname>
<given-names>A. S.</given-names>
</name>
<name>
<surname>Moran</surname>
<given-names>A. E.</given-names>
</name>
<name>
<surname>Derington</surname>
<given-names>C. G.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Bellows</surname>
<given-names>B. K.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Fixed-dose combination medication use among US adults with hypertension: a missed opportunity</article-title>. <source>J. Am. Heart Assoc.</source> <volume>12</volume> (<issue>4</issue>), <fpage>e027486</fpage>. <pub-id pub-id-type="doi">10.1161/JAHA.122.027486</pub-id>
<pub-id pub-id-type="pmid">36734429</pub-id>
</mixed-citation>
</ref>
<ref id="B20">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muntner</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Carey</surname>
<given-names>R. M.</given-names>
</name>
<name>
<surname>Gidding</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Jones</surname>
<given-names>D. W.</given-names>
</name>
<name>
<surname>Taler</surname>
<given-names>S. J.</given-names>
</name>
<name>
<surname>Wright</surname>
<given-names>J. T.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Potential US population impact of the 2017 ACC/AHA high blood pressure guideline</article-title>. <source>Circulation</source> <volume>137</volume> (<issue>2</issue>), <fpage>109</fpage>&#x2013;<lpage>118</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.117.032582</pub-id>
<pub-id pub-id-type="pmid">29133599</pub-id>
</mixed-citation>
</ref>
<ref id="B21">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>O&#x27;Hagan</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>McIntyre</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Nguyen</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Tan</surname>
<given-names>K. M.</given-names>
</name>
<name>
<surname>Hanlon</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Siddiqui</surname>
<given-names>M.</given-names>
</name>
<etal/>
</person-group> (<year>2024</year>). <article-title>A cross-sectional survey of fixed-dose combination antihypertensive medicine prescribing in twenty-four countries, including qualitative insights</article-title>. <source>Glob. Heart</source> <volume>19</volume> (<issue>1</issue>), <fpage>73</fpage>. <pub-id pub-id-type="doi">10.5334/gh.1353</pub-id>
<pub-id pub-id-type="pmid">39281000</pub-id>
</mixed-citation>
</ref>
<ref id="B22">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Officers</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2002</year>). <article-title>Coordinators for the ACRGTA, lipid-lowering treatment to prevent heart attack T. major outcomes in high-risk hypertensive patients randomized to angiotensin-converting enzyme inhibitor or calcium channel blocker vs diuretic: the antihypertensive and lipid-lowering treatment to prevent heart attack trial (ALLHAT)</article-title>. <source>JAMA</source> <volume>288</volume> (<issue>23</issue>), <fpage>2981</fpage>&#x2013;<lpage>2997</lpage>. <pub-id pub-id-type="doi">10.1001/jama.288.23.2981</pub-id>
<pub-id pub-id-type="pmid">12479763</pub-id>
</mixed-citation>
</ref>
<ref id="B23">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ogedegbe</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Shah</surname>
<given-names>N. R.</given-names>
</name>
<name>
<surname>Phillips</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Goldfeld</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Roy</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>Comparative effectiveness of angiotensin-converting enzyme inhibitor-based treatment on cardiovascular outcomes in hypertensive blacks <italic>versus</italic> whites</article-title>. <source>J. Am. Coll. Cardiol.</source> <volume>66</volume> (<issue>11</issue>), <fpage>1224</fpage>&#x2013;<lpage>1233</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2015.07.021</pub-id>
<pub-id pub-id-type="pmid">26361152</pub-id>
</mixed-citation>
</ref>
<ref id="B24">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pitt</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Zannad</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Remme</surname>
<given-names>W. J.</given-names>
</name>
<name>
<surname>Cody</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Castaigne</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Perez</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>1999</year>). <article-title>The effect of spironolactone on morbidity and mortality in patients with severe heart failure. Randomized aldactone evaluation study investigators</article-title>. <source>N. Engl. J. Med.</source> <volume>341</volume> (<issue>10</issue>), <fpage>709</fpage>&#x2013;<lpage>717</lpage>. <pub-id pub-id-type="doi">10.1056/NEJM199909023411001</pub-id>
<pub-id pub-id-type="pmid">10471456</pub-id>
</mixed-citation>
</ref>
<ref id="B25">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pitt</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Filippatos</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Agarwal</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Anker</surname>
<given-names>S. D.</given-names>
</name>
<name>
<surname>Bakris</surname>
<given-names>G. L.</given-names>
</name>
<name>
<surname>Rossing</surname>
<given-names>P.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Cardiovascular events with finerenone in kidney disease and type 2 diabetes</article-title>. <source>N. Engl. J. Med.</source> <volume>385</volume> (<issue>24</issue>), <fpage>2252</fpage>&#x2013;<lpage>2263</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMoa2110956</pub-id>
<pub-id pub-id-type="pmid">34449181</pub-id>
</mixed-citation>
</ref>
<ref id="B26">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Reichman</surname>
<given-names>M. E.</given-names>
</name>
<name>
<surname>Wernecke</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Graham</surname>
<given-names>D. J.</given-names>
</name>
<name>
<surname>Liao</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Yap</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Chillarige</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Antihypertensive drug associated angioedema: effect modification by race/ethnicity</article-title>. <source>Pharmacoepidemiol Drug Saf.</source> <volume>26</volume> (<issue>10</issue>), <fpage>1190</fpage>&#x2013;<lpage>1196</lpage>. <pub-id pub-id-type="doi">10.1002/pds.4260</pub-id>
<pub-id pub-id-type="pmid">28722207</pub-id>
</mixed-citation>
</ref>
<ref id="B27">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shrout</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Rudy</surname>
<given-names>D. W.</given-names>
</name>
<name>
<surname>Piascik</surname>
<given-names>M. T.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Hypertension update, JNC8 and beyond</article-title>. <source>Curr. Opin. Pharmacol.</source> <volume>33</volume>, <fpage>41</fpage>&#x2013;<lpage>46</lpage>. <pub-id pub-id-type="doi">10.1016/j.coph.2017.03.004</pub-id>
<pub-id pub-id-type="pmid">28525818</pub-id>
</mixed-citation>
</ref>
<ref id="B28">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Whelton</surname>
<given-names>P. K.</given-names>
</name>
<name>
<surname>Carey</surname>
<given-names>R. M.</given-names>
</name>
<name>
<surname>Aronow</surname>
<given-names>W. S.</given-names>
</name>
<name>
<surname>Casey</surname>
<given-names>D. E.</given-names>
<suffix>Jr.</suffix>
</name>
<name>
<surname>Collins</surname>
<given-names>K. J.</given-names>
</name>
<name>
<surname>Dennison Himmelfarb</surname>
<given-names>C.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: executive summary: a report of the American college of cardiology/american heart association task force on clinical practice guidelines</article-title>. <source>Hypertension</source> <volume>71</volume> (<issue>6</issue>), <fpage>1269</fpage>&#x2013;<lpage>1324</lpage>. <pub-id pub-id-type="doi">10.1161/HYP.0000000000000066</pub-id>
<pub-id pub-id-type="pmid">29133354</pub-id>
</mixed-citation>
</ref>
<ref id="B29">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Sha</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Yin</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Gu</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>He</surname>
<given-names>X.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>Global burden of hypertensive heart disease and attributable risk factors, 1990-2021: insights from the global burden of disease study 2021</article-title>. <source>Sci. Rep.</source> <volume>15</volume> (<issue>1</issue>), <fpage>14594</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-025-99358-1</pub-id>
<pub-id pub-id-type="pmid">40287533</pub-id>
</mixed-citation>
</ref>
<ref id="B30">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zannad</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>McMurray</surname>
<given-names>J. J.</given-names>
</name>
<name>
<surname>Krum</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>van Veldhuisen</surname>
<given-names>D. J.</given-names>
</name>
<name>
<surname>Swedberg</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Shi</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2011</year>). <article-title>Eplerenone in patients with systolic heart failure and mild symptoms</article-title>. <source>N. Engl. J. Med.</source> <volume>364</volume> (<issue>1</issue>), <fpage>11</fpage>&#x2013;<lpage>21</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMoa1009492</pub-id>
<pub-id pub-id-type="pmid">21073363</pub-id>
</mixed-citation>
</ref>
<ref id="B31">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Perel</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Mensah</surname>
<given-names>G. A.</given-names>
</name>
<name>
<surname>Ezzati</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Global epidemiology, health burden and effective interventions for elevated blood pressure and hypertension</article-title>. <source>Nat. Rev. Cardiol.</source> <volume>18</volume> (<issue>11</issue>), <fpage>785</fpage>&#x2013;<lpage>802</lpage>. <pub-id pub-id-type="doi">10.1038/s41569-021-00559-8</pub-id>
<pub-id pub-id-type="pmid">34050340</pub-id>
</mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1149052/overview">Mohamed Hamed</ext-link>, Louisiana State University, United States</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2413561/overview">Yacob Tedla</ext-link>, Vanderbilt University Medical Center, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3322128/overview">Mohammed Abdel-Wahab</ext-link>, Faculty of Science Alazhar University AssuitEgypt</p>
</fn>
</fn-group>
</back>
</article>