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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="publisher-id">862561</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2022.862561</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prevalence of Polypharmacy and Potentially Inappropriate Medications Use in Elderly Chinese Patients: A Systematic Review and Meta-Analysis</article-title>
<alt-title alt-title-type="left-running-head">Tian et al.</alt-title>
<alt-title alt-title-type="right-running-head">PIM in Elderly Chinese Patients</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Fangyuan</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="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1239241/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Zhaoyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1707204/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wu</surname>
<given-names>Jinhui</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1194006/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Pharmacy</institution>, <institution>National Clinical Research Center for Geriatrics</institution>, <institution>West China Hospital</institution>, <institution>Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Epidemiology and Health Statistics</institution>, <institution>West China School of Public Health and West China Fourth Hospital</institution>, <institution>Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Geriatrics. National Clinical Research Center for Geriatrics</institution>, <institution>West China Hospital</institution>, <institution>Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/550360/overview">Joseph O Fadare</ext-link>, Ekiti State University, Nigeria</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1387339/overview">Matej Stuhec</ext-link>, University of Maribor, Slovenia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/821505/overview">P&#x131;nar Soysal</ext-link>, Bezmi&#xe2;lem Vak&#x131;f &#xdc;niversitesi, Turkey</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Jinhui Wu, <email>wujinhui@scu.edu.cn</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>ORCID: Fangyuan Tian, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-5187-0386">orcid.org/0000-0002-5187-0386</ext-link>
</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Drugs Outcomes Research and Policies, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>862561</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>05</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Tian, Chen and Wu.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Tian, Chen and Wu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Objectives:</bold> Polypharmacy and potentially inappropriate medication (PIM) use among elderly Chinese patients have not yet been investigated by systematic review and meta-analysis. The purposes of this study were to investigate the prevalence of polypharmacy and PIM use and the risk factors associated with PIM use in elderly Chinese patients.</p>
<p>
<bold>Methods:</bold> Databases including PubMed, EMBase, and Web of Science were searched to collect studies which used Chinese criteria, Beers criteria, or STOPP criteria to evaluate the PIM status of elderly Chinese patients from inception to August 2021 (PROSPERO Code No: CRD42021262821). Observational studies reporting the prevalence of polypharmacy and PIM use in elderly Chinese patients were meta-analyzed. The pooled prevalence and risk ratio (RR) were calculated with a 95% confidence interval (CI).</p>
<p>
<bold>Results:</bold> A total of 8 articles involving 4,558,786 patients were included. The overall prevalence of polypharmacy (concomitant use of more than 5 medicines) and PIM use pooled by meta-analysis in Chinese older patients was 48% (95% CI: 0.17, 0.79, <italic>p</italic> &#x3d; 0.003) (inpatients 73%, outpatients 23%) and 39% (95% CI: 0.25, 0.54, <italic>p</italic> &#x3c; 0.001) (inpatients 50%, outpatients 29%), respectively. Polypharmacy (RR: 2.03, 95% CI: 1.13, 3.64) was significantly associated with PIM use.</p>
<p>
<bold>Conclusion:</bold> This meta-analysis demonstrated a high prevalence of polypharmacy and PIM use among elderly patients in China. Affected by the quantity and quality of the included studies, the aforementioned conclusions need to be confirmed by large samples and high-quality studies.</p>
</abstract>
<kwd-group>
<kwd>polypharmacy</kwd>
<kwd>potentially inappropriate medication</kwd>
<kwd>elderly</kwd>
<kwd>Chinese patients</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>According to statistics from the World Health Organization (WHO), the number of older adults has been constantly rising worldwide, and China is currently the country with the largest elderly population in the world. As elderly adults grow older, their physical functions deteriorate, and they are often prone to multiple diseases and need to take more drugs. (<xref ref-type="bibr" rid="B10">Cojutti et al., 2016</xref>). Polypharmacy (defined as more than five drugs) has become common among the elderly because they suffer from a variety of diseases, especially chronic diseases. The increase in the number of drugs not only brings therapeutic effects to the elderly but also brings risks due to the interaction between drugs (<xref ref-type="bibr" rid="B39">Scott et al., 2015</xref>). These negative effects may reduce the quality of life of the elderly, increase the risk of falls, prolong the length of hospital stay, and further increase the risk of drug-induced diseases (<xref ref-type="bibr" rid="B16">Hamilton et al., 2011</xref>; <xref ref-type="bibr" rid="B8">Cahir et al., 2014</xref>; <xref ref-type="bibr" rid="B11">Davies and O&#x2019;Mahony, 2015</xref>).</p>
<p>Among the drugs used by the elderly, some are relatively safe, while others are used on the elderly for some reason, resulting in a high risk of adverse outcomes. These drugs are called potentially inappropriate medications (PIMs) (<xref ref-type="bibr" rid="B43">Tian et al., 2021a</xref>). The Beers criteria were the first expert consensus on geriatric PIMs (<xref ref-type="bibr" rid="B5">Beers et al., 1991</xref>). The American Geriatrics Society has undertaken their sixth iteration (<xref ref-type="bibr" rid="B4">American Geriatrics Society Beers Criteria&#xae; Update Expert Panel, 2019</xref>). University College Cork organized experts from many disciplines to formulate the screening tool of old peoples prescriptions/screening tool to alert to the right treatment (STOPP/START criteria) through the Delphi method, and the second edition was updated in 2014 (<xref ref-type="bibr" rid="B34">O&#x27;Mahony et al., 2015</xref>; <xref ref-type="bibr" rid="B35">O&#x27;Mahony, 2020</xref>). These two criteria have been widely used to evaluate the PIMs&#x2019; use in the elderly population around the world. China has formulated the criteria for judging the potentially inappropriate medication use by older adults in 2016.</p>
<p>There are also some studies that have applied these criteria to investigate the prevalence of polypharmacy and PIM use in Chinese elderly patients. Until now, some systematic reviews and meta-analyses have been conducted on polypharmacy or PIM use in the elderly (<xref ref-type="bibr" rid="B6">Bhagavathula et al., 2022</xref>; <xref ref-type="bibr" rid="B12">Davies et al., 2020</xref>; <xref ref-type="bibr" rid="B31">Mohamed et al., 2020</xref>; <xref ref-type="bibr" rid="B49">Xing et al., 2019</xref>; <xref ref-type="bibr" rid="B25">Liew et al., 2019</xref>). Due to the focus of each study being different, this limited the applicability and interpretability of existing results in China. To overcome these limitations, we conducted the study on Chinese elderly patients to provide relevant evidence.</p>
</sec>
<sec id="s2">
<title>2 Methods and Materials</title>
<sec id="s2-1">
<title>2.1 Search Strategy</title>
<p>This study was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines (<xref ref-type="bibr" rid="B32">Moher et al., 2015</xref>). This systematic review and meta-analysis was registered on PROSPERO (CRD42021262821). We searched PubMed, EMBase, and the Web of science from inception to August 25, 2021. For PubMed, the search items included: [&#x201c;Polypharmacy&#x201d; (MeSH Terms)] OR [&#x201c;Potentially Inappropriate Medication&#x201d; (Title/Abstract)] OR [&#x201c;Potentially Inappropriate Prescription&#x201d; (Title/Abstract)] OR [&#x201c;Inappropriate Medication&#x201d; (Title/Abstract)] OR [&#x201c;Inappropriate Prescription&#x201d; (Title/Abstract)] OR [&#x201c;Inappropriate Prescribing&#x201d; (Title/Abstract)] OR [&#x201c;Inappropriate Drug Use&#x201d; (Title/Abstract)] AND [&#x201c;Chinese&#x201d; (Title/Abstract) OR &#x201c;China&#x201d; (Title/Abstract)]. For EMBase, the search items included: (&#x201c;Polypharmacy&#x201d;) [Title/Abstract] OR (&#x201c;exp Polypharmacy&#x201d;) OR [&#x201c;Potentially Inappropriate Medication&#x201d; (Title/Abstract)] OR (&#x201c;exp Potentially Inappropriate Medication&#x201d;) AND [&#x201c;Chinese&#x201d; (Title/Abstract) OR &#x201c;exp Chinese&#x201d;]. {[TI&#x3d;(Polypharmacy)] OR TI&#x3d;(Potentially Inappropriate Medication)} AND TI&#x3d;(Chinese). Observational studies conducted on Chinese elderly patients were published in English and reported both the prevalence of polypharmacy and the prevalence of PIM use. The search string used medical subject heading and nonmedical subject heading terms.</p>
</sec>
<sec id="s2-2">
<title>2.2 Selection Criteria and Data Extraction</title>
<p>The studies met the following criteria: 1) reported both prevalence of polypharmacy and the prevalence of PIM use in Chinese elderly patients; 2) risk factors that increase PIM use in Chinese elderly patients. Studies were excluded if they 1) did not report the prevalence of polypharmacy or PIM use in Chinese elderly patients; 2) duplicate studies, reviews, case reports, interventional studies, and meta-analyses were also excluded.</p>
</sec>
<sec id="s2-3">
<title>2.3 Selection of Studies</title>
<p>Two reviewers (FY Tian and ZY Chen) screened the titles and abstracts of the literature back-to-back. The senior investigator (JH Wu) reviewed the first 50 references independently. The level of agreement was 90% with only five discrepancies, which were discussed between the three reviewers to arrive at a consensus. The remaining studies were then further reviewed by the two reviewers.</p>
</sec>
<sec id="s2-4">
<title>2.4 Quality Assessment</title>
<p>The Agency for Healthcare Research and Quality (AHRQ) was used to evaluate the quality of the cross-sectional study (<xref ref-type="bibr" rid="B18">Hu et al., 2015</xref>). The AHRQ assesses the representativeness of the source of information, inclusion and exclusion criteria, indicates time period, indicates whether or not subjects were consecutive, indicates if evaluators of subjective components of study were masked to other aspects of the status of the participants, describes any assessments undertaken for quality assurance purposes, explains any patient exclusions from analysis, describes how confounding was assessed and/or controlled, explains how missing data were handled in the analysis, summarizes patient response rates and completeness of data collection, clarifies follow-up (<xref ref-type="bibr" rid="B9">Chen et al., 2018</xref>). The AHRQ scores range from 0 (lowest grade) to 11 (highest grade). Studies scoring eight or above were considered high quality, and those with scores below four were of low quality.</p>
</sec>
<sec id="s2-5">
<title>2.5 Statistical Analysis</title>
<p>A meta-analysis (proportions) was performed using STATA software. Pooled prevalence was reported as percentages with 95% CI, considering the variations in the true effect size across the population. Der Simonian and Laird&#x2019;s random-effects model was applied. A pooled relative ratio was calculated for each study to determine the association between various patient factors and the risk of use of PIMs (<xref ref-type="bibr" rid="B6">Bhagavathula et al., 2022</xref>). Statistical heterogeneity was assessed by determining the I<sup>2</sup> statistics. When I<sup>2</sup> is &#x3e; 50% (indicates high heterogeneity), subgroup analysis and sensitivity analysis were performed to investigate the source of heterogeneity.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Basic Information of Studies</title>
<p>A total of 344 records were identified through PubMed, EMBase, and Web of Science. 60 duplicates were removed using Endnote. After the first round of screening, 252 articles were excluded from 284 literatures, and the remaining 32 articles were put through a second round of screening. 24 articles were excluded as they did not report the PIMs or polypharmacy, meeting abstracts, and the population was not elderly. Finally, 8 studies (<xref ref-type="bibr" rid="B14">Fu et al., 2020</xref>; <xref ref-type="bibr" rid="B19">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Ma et al., 2020</xref>; <xref ref-type="bibr" rid="B51">Zheng et al., 2020</xref>; <xref ref-type="bibr" rid="B43">Tian et al., 2021a</xref>; <xref ref-type="bibr" rid="B17">He et al., 2021</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2021</xref>; <xref ref-type="bibr" rid="B50">Zhao et al., 2021</xref>) were included in the study (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Diagram of the literature selection.</p>
</caption>
<graphic xlink:href="fphar-13-862561-g001.tif"/>
</fig>
<p>The included studies, comprising a total of 4558786 participants, are representative of the Chinese elderly population. Four studies were on outpatients, and four studies were on inpatients. The majority of studies were conducted in the Chinese provincial capital city and used a version of the Beers criteria, STOPP criteria, and Chinese criteria. According to the AHRQ, the average score of studies was 7, which indicates moderate quality (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Characteristics of included studies.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Article</th>
<th rowspan="2" align="center">Location</th>
<th rowspan="2" align="center">Study design</th>
<th rowspan="2" align="center">Mean age (y)</th>
<th rowspan="2" align="center">Sample size</th>
<th rowspan="2" align="center">Setting</th>
<th rowspan="2" align="center">Male (%)</th>
<th rowspan="2" align="center">PIM criteria applied</th>
<th colspan="2" align="center">Prevalence (%)</th>
<th rowspan="2" align="center">Quality of studies</th>
</tr>
<tr>
<th align="center">Polypharmacy (&#x2265;5 drugs used)</th>
<th align="center">PIM use</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<xref ref-type="bibr" rid="B50">Zhao et al., (2021)</xref>
</td>
<td align="left">Beijing</td>
<td align="left">Cross-sectional</td>
<td align="center">71.5 &#xb1; 7.2</td>
<td align="center">447</td>
<td align="left">Inpatients</td>
<td align="char" char=".">60</td>
<td align="left">2019 Beers criteria</td>
<td align="char" char=".">65.5</td>
<td align="left">38</td>
<td align="center">7</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B43">Tian et al., (2021a)</xref>
</td>
<td align="left">Chengdu</td>
<td align="left">Cross-sectional</td>
<td align="center">78</td>
<td align="center">12,005</td>
<td align="left">Outpatients</td>
<td align="char" char=".">59.61</td>
<td align="left">2019 Beers criteria, 2015 Beers criteria</td>
<td align="char" char=".">24.15</td>
<td align="left">2019 Beers criteria: 34.39, 2015 Beers criteria: 30.98</td>
<td align="center">7</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B17">He et al., (2021)</xref>
</td>
<td align="left">Nanjing</td>
<td align="left">Cross-sectional</td>
<td align="center">73.74 &#xb1; 6.98</td>
<td align="center">6,424</td>
<td align="left">Inpatients</td>
<td align="char" char=".">58.92</td>
<td align="left">2019 Beers criteria, 2015 Beers criteria</td>
<td align="char" char=".">94.05</td>
<td align="left">2019 Beers criteria: 64.80, 2015 Beers criteria: 64.31</td>
<td align="center">8</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B24">Li et al., (2021)</xref>
</td>
<td align="left">Suzhou</td>
<td align="left">Cross-sectional</td>
<td align="center">74.64 &#xb1; 7.32</td>
<td align="center">8,235</td>
<td align="left">Outpatients</td>
<td align="char" char=".">51.86</td>
<td align="left">2019 Beers criteria, 2017 Chinese criteria</td>
<td align="char" char=".">19.09</td>
<td align="left">2019 Beers criteria: 32.16, 2017 Chinese criteria: 37.07</td>
<td align="center">6</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B51">Zheng et al., (2020)</xref>
</td>
<td align="left">Xi&#x2019;an</td>
<td align="left">Cross-sectional</td>
<td align="center">&#x2014;&#x2014;</td>
<td align="center">315</td>
<td align="left">Inpatients</td>
<td align="char" char=".">46.3</td>
<td align="left">2019 Beers criteria</td>
<td align="char" char=".">96.5</td>
<td align="left">49.2</td>
<td align="center">7</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B27">Ma et al., (2020)</xref>
</td>
<td align="left">Beijing</td>
<td align="left">Cross-sectional</td>
<td align="center">73</td>
<td align="center">662</td>
<td align="left">Inpatients</td>
<td align="char" char=".">54.53</td>
<td align="left">STOPP/START V2, STOPP/START V1</td>
<td align="char" char=".">90.4</td>
<td align="left">STOPP/START V2: 47.7, STOPP/START V1: 36.1</td>
<td align="center">7</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B19">Huang et al., (2020)</xref>
</td>
<td align="left">Changsha</td>
<td align="left">Cross-sectional</td>
<td align="center">86</td>
<td align="center">1,874</td>
<td align="left">Outpatients</td>
<td align="char" char=".">80</td>
<td align="left">2019 Beers criteria, 2017 Chinese criteria</td>
<td align="char" char=".">44.7</td>
<td align="left">2019 Beers criteria: 35, 2017 Chinese criteria: 50.6</td>
<td align="center">7</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B14">Fu et al., (2020)</xref>
</td>
<td align="left">Beijing</td>
<td align="left">Cross-sectional</td>
<td align="center">72.0 &#xb1; 8.9</td>
<td align="center">4,528,824</td>
<td align="left">Outpatients</td>
<td align="char" char=".">44.1</td>
<td align="left">2017 Chinese criteria</td>
<td align="char" char=".">5.5</td>
<td align="left">14.1</td>
<td align="center">7</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Prevalence of Polypharmacy and Potentially Inappropriate Medication use in the Chinese Elderly Patients</title>
<p>Eight studies (<xref ref-type="bibr" rid="B14">Fu et al., 2020</xref>; <xref ref-type="bibr" rid="B19">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Ma et al., 2020</xref>; <xref ref-type="bibr" rid="B51">Zheng et al., 2020</xref>; <xref ref-type="bibr" rid="B44">Tian et al., 2021b</xref>; <xref ref-type="bibr" rid="B17">He et al., 2021</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2021</xref>; <xref ref-type="bibr" rid="B50">Zhao et al., 2021</xref>) showed the prevalence of polypharmacy in the elderly Chinese population. Four studies were on outpatients (<xref ref-type="bibr" rid="B14">Fu et al., 2020</xref>; <xref ref-type="bibr" rid="B19">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B44">Tian et al., 2021b</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2021</xref>); and four studies were on inpatients (<xref ref-type="bibr" rid="B27">Ma et al., 2020</xref>; <xref ref-type="bibr" rid="B51">Zheng et al., 2020</xref>; <xref ref-type="bibr" rid="B17">He et al., 2021</xref>; <xref ref-type="bibr" rid="B50">Zhao et al., 2021</xref>). The pooled prevalence of polypharmacy in China was found to be 48% (95% CI: 0.17, 0.79, <italic>p</italic> &#x3d; 0.003). The pooled prevalence of polypharmacy in Chinese older inpatients was 73% (95% CI: 0.56, 0.89, <italic>p</italic> &#x3c; 0.001). The pooled prevalence of polypharmacy in Chinese older outpatients was 23% (95% CI: 0.10, 0.36, <italic>p</italic> &#x3c; 0.001) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Prevalence of polypharmacy in the Chinese older population.</p>
</caption>
<graphic xlink:href="fphar-13-862561-g002.tif"/>
</fig>
<p>The pooled prevalence of PIM use in China was found to be 39% (95% CI: 0.25, 0.54, <italic>p</italic> &#x3c; 0.001). The pooled prevalence of polypharmacy in Chinese older inpatients was 50% (95% CI: 0.36, 0.64, <italic>p</italic> &#x3c; 0.001). The pooled prevalence of PIM use in Chinese older outpatients was 29% (95% CI: 0.15, 0.42, <italic>p</italic> &#x3c; 0.001) (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Prevalence of PIM use in the Chinese elderly population.</p>
</caption>
<graphic xlink:href="fphar-13-862561-g003.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 Risk Factors Associated With Potentially Inappropriate Medications Use</title>
<sec id="s3-3-1">
<title>3.3.1 Age</title>
<p>Four studies (<xref ref-type="bibr" rid="B43">Tian et al., 2021a</xref>; <xref ref-type="bibr" rid="B17">He et al., 2021</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2021</xref>; <xref ref-type="bibr" rid="B51">Zheng et al., 2020</xref>) reported the association of older age and the risk of PIM use. With increasing age, the risk of PIM use is also higher, but no statistically significant increase in the risk of PIM use was confirmed for higher age categories. The stratified meta-analysis showed an increased risk (75&#x223c;84&#xa0;years old vs. 65&#x223c;74&#xa0;years old) of 7% PIM use exposure (RR: 1.07, 95% CI: 0.99, 1.16, <italic>p</italic> &#x3d; 0.107), (&#x2265;85&#xa0;years old vs. 75&#x223c;84&#xa0;years old) of 11% PIM use exposure (RR: 1.11, 95% CI: 0.97, 1.26, <italic>p</italic> &#x3d; 0.120), (&#x2265;85&#xa0;years old vs. 65&#x223c;74&#xa0;years old) of 18% PIM use exposure (RR: 1.18, 95% CI: 0.98, 1.41, <italic>p</italic> &#x3d; 0.082) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Factors associated with increased risk of PIM use.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">Characteristics</th>
<th align="center">Number of studies</th>
<th align="center">Relative ratio, RR</th>
<th align="center">95% CI</th>
<th align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">Age</td>
<td align="center">75&#x223c;84 vs. 65&#x223c;74</td>
<td align="char" char=".">4</td>
<td align="char" char=".">1.07</td>
<td align="char" char=".">0.99, 1.16</td>
<td align="char" char=".">0.107</td>
</tr>
<tr>
<td align="center">&#x2265;85 vs. 75&#x223c;84</td>
<td align="char" char=".">4</td>
<td align="char" char=".">1.11</td>
<td align="char" char=".">0.97,1.26</td>
<td align="char" char=".">0.120</td>
</tr>
<tr>
<td align="center">&#x2265;85 vs. 65&#x223c;74</td>
<td align="char" char=".">4</td>
<td align="char" char=".">1.18</td>
<td align="char" char=".">0.98, 1.41</td>
<td align="char" char=".">0.082</td>
</tr>
<tr>
<td align="left">Gender</td>
<td align="center">7</td>
<td align="char" char=".">0.95</td>
<td align="char" char=".">0.89, 1.01</td>
<td align="char" char=".">0.08</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Different criteria</td>
<td align="center">2019 Beers criteria vs. 2015 Beers criteria</td>
<td align="char" char=".">2</td>
<td align="char" char=".">1.04</td>
<td align="char" char=".">0.97, 1.12</td>
<td align="char" char=".">0.267</td>
</tr>
<tr>
<td align="center">2017 Chinese criteria vs. 2019 Beers criteria</td>
<td align="char" char=".">2</td>
<td align="char" char=".">1.20</td>
<td align="char" char=".">1.03, 1.39</td>
<td align="char" char=".">0.020</td>
</tr>
<tr>
<td align="left">Polypharmacy</td>
<td align="center">7</td>
<td align="char" char=".">2.03</td>
<td align="char" char=".">1.13, 3.64</td>
<td align="char" char=".">0.018</td>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3-2">
<title>3.3.2 Gender</title>
<p>Seven studies (<xref ref-type="bibr" rid="B14">Fu et al., 2020</xref>; <xref ref-type="bibr" rid="B19">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Ma et al., 2020</xref>; <xref ref-type="bibr" rid="B51">Zheng et al., 2020</xref>; <xref ref-type="bibr" rid="B43">Tian et al., 2021a</xref>; <xref ref-type="bibr" rid="B17">He et al., 2021</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2021</xref>) reported the association between sex differences and risk of PIM use. The meta-analysis revealed that PIM use in the older population was not associated with gender differences (RR: 0.95, 95% CI: 0.89, 1.01, <italic>p</italic> &#x3d; 0.080) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
<sec id="s3-3-3">
<title>3.3.3 Different Criteria</title>
<p>Five studies (<xref ref-type="bibr" rid="B19">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Ma et al., 2020</xref>; <xref ref-type="bibr" rid="B44">Tian et al., 2021b</xref>; <xref ref-type="bibr" rid="B17">He et al., 2021</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2021</xref>) reported the association of different criteria with risk of PIM use, two studies (<xref ref-type="bibr" rid="B44">Tian et al., 2021b</xref>; <xref ref-type="bibr" rid="B17">He et al., 2021</xref>) reported an association between 2019 Beers criteria and 2015 Beers criteria, two studies (<xref ref-type="bibr" rid="B19">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2021</xref>) reported an association between 2019 Beers criteria and 2017 Chinese criteria, and one study (<xref ref-type="bibr" rid="B27">Ma et al., 2020</xref>) reported an association between STOPP/START V2 criteria and STOPP/START V1 criteria. The meta-analysis revealed that 2019 Beers criteria are more sensitive than 2015 Beers criteria (RR: 1.04, 95% CI: 0.97, 1.12, <italic>p</italic> &#x3d; 0.267) with no significant difference. 2017 Chinese criteria is more sensitive than 2019 Beers criteria with a significant difference (RR: 1.20, 95% CI: 1.03, 1.39, <italic>p</italic> &#x3d; 0.02). STOPP/START V2 criteria are more sensitive than STOPP/START V1 criteria (47.7 vs. 36.1%) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
<sec id="s3-3-4">
<title>3.3.4 Association of Polypharmacy With the Risk of Potentially Inappropriate Medication Use</title>
<p>Seven studies (<xref ref-type="bibr" rid="B14">Fu et al., 2020</xref>; <xref ref-type="bibr" rid="B19">Huang et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Ma et al., 2020</xref>; <xref ref-type="bibr" rid="B51">Zheng et al., 2020</xref>; <xref ref-type="bibr" rid="B44">Tian et al., 2021b</xref>; <xref ref-type="bibr" rid="B17">He et al., 2021</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2021</xref>) investigated the association of polypharmacy with the risk of PIM exposure in the Chinese older population. The pooled effect estimate indicated a significant risk of PIM use (RR: 2.03, 95% CI: 1.13, 3.64, <italic>p</italic> &#x3d; 0.018) in polypharmacy patients (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<p>Our study is the first systematic literature review and meta-analysis to describe the pooled prevalence of polypharmacy, PIM use, and risks of PIM use in China. Based on our evaluation of eight studies, the overall prevalence of polypharmacy in the older population was 48%. These elderly patients came from six cities in China, and the prevalence of polypharmacy ranged from 5.5 to 96.5%. The pooled prevalence of polypharmacy of elderly Chinese inpatients was 73% and that of elderly Chinese outpatients was 23%. Five studies reported the prevalence of PIM under two different criteria, while three studies reported the prevalence of PIM under one criterion. The 2019 Beers criteria were the most widely used criteria. A study on the use of prescription drugs by adults in the United States reported that between 1999 and 2012, the polypharmacy of patients aged 65 and over accounted for 24&#x2013;39% (<xref ref-type="bibr" rid="B21">Kantor et al., 2015</xref>). Another study from Europe found that 32.1% of the elderly took five or more drugs every day (<xref ref-type="bibr" rid="B30">Mid&#xe3;o et al., 2018</xref>). In Australia, a study about the prevalence of polypharmacy in the elderly population was 43&#x2013;91% (<xref ref-type="bibr" rid="B37">Page et al., 2019</xref>). In Asia, the studies demonstrated that prevalence of polypharmacy of elderly patients could be 86.4% in South Korea (<xref ref-type="bibr" rid="B22">Kim et al., 2014</xref>) and 20% in Japan (<xref ref-type="bibr" rid="B3">Amano et al., 2020</xref>). The overall prevalence of PIM use was 39% in our study. According to a recent meta-analysis, the pooled prevalence of PIM use in elderly patients in developing countries was 37% (<xref ref-type="bibr" rid="B6">Bhagavathula et al., 2022</xref>) and that in developed countries was 33.3% (<xref ref-type="bibr" rid="B26">Liew et al., 2020</xref>). Our meta-analysis revealed a higher pooled prevalence of PIM use in China (39%) than in other developing countries or developed countries. As China becomes an aging society, many elderly people suffer from a variety of chronic diseases and take multiple drugs, which may be potentially inappropriate. Furthermore, polypharmacy is more frequently observed in inpatients (73%) than outpatients (23%). This is different from another study about the prevalence of polypharmacy observed in two categories (<xref ref-type="bibr" rid="B7">Bhagavathula et al., 2021</xref>).</p>
<p>From the results obtained in the study, the population aging and rising trends of the risk of PIM use was demonstrated for higher age categories. Our study revealed that non-significant PIM use in Chinese elderly patients is associated with gender differences, but female patients look like they have a higher risk of PIMs than male patients, consistent with research at home and abroad (<xref ref-type="bibr" rid="B2">Al-Azayzih et al., 2019</xref>; <xref ref-type="bibr" rid="B33">Nam et al., 2016</xref>). Chinese criteria are more sensitive than other criteria, which may be because Chinese criteria were made based on the drug utilization of the Chinese elderly population, so they may be more suitable for the Chinese population. Significant findings between the risk of polypharmacy and PIM use in the study may lead to adverse clinical outcomes. The findings of current studies revealed that polypharmacy was associated with negative outcomes. In general, polypharmacy may lead to negative outcomes, including falls, frailty, and low quality of life (<xref ref-type="bibr" rid="B15">Guti&#xe9;rrez-Valencia et al., 2018</xref>; <xref ref-type="bibr" rid="B23">Leelakanok et al., 2017</xref>; <xref ref-type="bibr" rid="B13">Fried et al., 2014</xref>; <xref ref-type="bibr" rid="B28">Maher et al., 2014</xref>). One systematic review even showed that polypharmacy was associated with death (<xref ref-type="bibr" rid="B23">Leelakanok et al., 2017</xref>).</p>
<p>PIM use led to high morbidity and mortality in the elderly, and the prevalence of polypharmacy increased as well (<xref ref-type="bibr" rid="B1">Achterhof et al., 2020</xref>). Deprescribing is an established management strategy to minimize polypharmacy and PIM use (<xref ref-type="bibr" rid="B48">Wu et al., 2021</xref>). The understanding of the clinical efficacy of reducing polypharmacy in the elderly is limited, especially in Chinese. The benefits and sustainability of deprescribing intervention in unplanned hospital admission or death of elderly patients are still unclear (<xref ref-type="bibr" rid="B38">Rieckert et al., 2020</xref>). One study showed that deprescribing or not has little effect on reducing unnecessary medication (<xref ref-type="bibr" rid="B20">Ibrahim et al., 2021</xref>). Perhaps sometimes, polypharmacy is appropriate, and sometimes, polypharmacy is inappropriate. Reducing PIM use may be more meaningful. Some studies suggested that pharmacist-led deprescribing intervention in the elderly was effective in reducing unnecessary medications (<xref ref-type="bibr" rid="B47">Verrue et al., 2009</xref>; <xref ref-type="bibr" rid="B45">Tjia et al., 2013</xref>; <xref ref-type="bibr" rid="B42">Stuhec and Lah, 2021</xref>). Clinical pharmacists represent a powerful approach to unnecessary polypharmacy and PIM reduction in elderly patients in Europe (<xref ref-type="bibr" rid="B40">Stuhec et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Stuhec et al., 2021</xref>).</p>
<p>The present study suggests that interventions targeting unnecessary polypharmacy and PIM use may improve health outcomes among the elderly (<xref ref-type="bibr" rid="B29">Mekonnen et al., 2021</xref>). Deprescribing is not difficult for most elderly people to accept, and it can improve their medication compliance. However, for the elderly over 80&#xa0;years old, the effect of deprescribing is relatively poor and could not reduce mortality, which may be related to the poor physical condition of the patients (<xref ref-type="bibr" rid="B36">Page et al., 2016</xref>). The comprehensive geriatric assessment (CGA) on reducing unnecessary polypharmacy and PIM use demonstrated that this could be decreased by CGA in elderly patients. Furthermore, this will have beneficial effects on economic parameters due to decreasing drug-related healthcare costs (<xref ref-type="bibr" rid="B46">Unutmaz et al., 2018</xref>). However, no relevant research has been reported in China. So, it is necessary to establish standardized tools to reduce unnecessary polypharmacy and PIM use in Chinese older patients, especially in inpatients. The impact of intervention measures on the health outcomes of Chinese elderly patients still needs to be verified.</p>
</sec>
<sec id="s5">
<title>5 Limitations</title>
<p>This study was to integrate the evidence of polypharmacy and PIM use in Chinese elderly patients. However, there were some limitations. First, factors such as disease distribution, doctors&#x2019; diagnostic level, and prescribing habits vary widely across the hospitals in China, which may influence generalization of results. Second, the majority of studies were conducted in the Chinese provincial capital city, so results of other urban and rural areas are unclear. Third, few studies were included in this study and the overall quality was general, but most of them were short-term studies. Therefore, the aforementioned conclusions need to be confirmed by large-scale and high-quality studies.</p>
</sec>
<sec id="s6">
<title>6 Conclusion</title>
<p>This study revealed a high prevalence of polypharmacy and PIM use in Chinese elderly patients, which was 48% (inpatients 73%, outpatients 23%) and 39% (inpatients 50%, outpatients 29%). PIMs&#x2019; use in the elderly was dependent on polypharmacy, and Chinese criteria were more sensitive than Beers&#x2019; criteria for Chinese elderly patients.</p>
</sec>
</body>
<back>
<sec id="s7">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material; further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>FT: Developing design, literature search, and manuscript writing. ZC and JW: Developing design, literature search, manuscript writing, and analysis of results. All authors read and approved the final manuscript.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This work was supported by the National Key R&#x26;D Program of China (Project number: 2018YFC2002100) and the Sichuan Science and Technology Program (Project number: 2022JDR0326).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>The authors declare that the research 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="disclaimer" id="s11">
<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>
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