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<article xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2021.786779</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>HAT<sub>2</sub>CH<sub>2</sub> Score Predicts Systemic Thromboembolic Events in Elderly After Cardiac Electronic Device Implantation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chen</surname> <given-names>Ju-Yi</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1408075/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Tse-Wei</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Lu</surname> <given-names>Wei-Da</given-names></name>
</contrib>
</contrib-group>
<aff><institution>Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University</institution>, <addr-line>Tainan</addr-line>, <country>Taiwan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Tzvi Dwolatzky, Technion Israel Institute of Technology, Israel</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Leonardo Bencivenga, University of Naples Federico II, Italy; Maria Gavriilaki, University General Hospital of Thessaloniki AHEPA, Greece</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Ju-Yi Chen <email>juyi&#x00040;ncku.edu.tw</email>; <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-2760-9978">orcid.org/0000-0003-2760-9978</ext-link></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Geriatric Medicine, a section of the journal Frontiers in Medicine</p></fn></author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>786779</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Chen, Chen and Lu.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Chen, Chen and Lu</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>Background:</bold> The HAT<sub>2</sub>CH<sub>2</sub> score has been evaluated for predicting new onset atrial fibrillation, but never for adverse systemic thromboembolic events (STE) in elderly. We aimed to evaluate the HAT<sub>2</sub>CH<sub>2</sub> score and comparing to atrial high rate episodes (AHRE) &#x02265;24 h for predicting STE in older patients with cardiac implantable electronic devices (CIED) implantation.</p>
<p><bold>Methods:</bold> We retrospective enrolled 219 consecutive patients &#x02265; 65 years of age undergoing CIED implantation. The primary endpoint was subsequent STE. For all patients in the cohort, the CHA<sub>2</sub>DS<sub>2</sub>-VASc, C<sub>2</sub>HEST, mC<sub>2</sub>HEST, HAVOC, HAT<sub>2</sub>CH<sub>2</sub> scores and AHRE &#x02265; 24 h were determined. AHRE was defined as &#x0003E; 175 bpm lasting &#x02265; 30 s. Multivariate Cox regression analysis with time-dependent covariates was used to determine variables associated with independent risk of STE.</p>
<p><bold>Results:</bold> The median patient age was 77 years, and 61.2% of the cohort was male. During follow-up (median, 35 months), 16 STE occurred (incidence rate, 2.51/100 patient-years; 95% CI, 1.65&#x02013;5.48). Multiple Cox regression analysis showed that the HAT<sub>2</sub>CH<sub>2</sub> score (HR, 3.405; 95% CI, 2.272&#x02013;5.104; <italic>p</italic> &#x0003C; 0.001) was an independent predictor for STE. The optimal HAT<sub>2</sub>CH<sub>2</sub> score cutoff value was 3, with the highest Youden index (AUC, 0.907; 95% CI, 0.853&#x02013;0.962; <italic>p</italic> &#x0003C; 0.001). The STE rate increased with increasing HAT<sub>2</sub>CH<sub>2</sub> score (<italic>p</italic> &#x0003C; 0.001).</p>
<p><bold>Conclusions:</bold> This study is the first to show the prognostic value of the HAT<sub>2</sub>CH<sub>2</sub> score for STE occurrence in older patients with CIEDs.</p></abstract>
<kwd-group>
<kwd>atrial high-rate episodes</kwd>
<kwd>cardiac implantable electronic device</kwd>
<kwd>elderly</kwd>
<kwd>HAT<sub>2</sub>CH<sub>2</sub> score</kwd>
<kwd>neurologic events (NE)</kwd>
<kwd>transient ischemic attacks (TIA)</kwd>
</kwd-group>
<contract-num rid="cn001">MOST 110-2218-E-006-017</contract-num>
<contract-sponsor id="cn001">Ministry of Science and Technology, Taiwan<named-content content-type="fundref-id">10.13039/501100004663</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="21"/>
<page-count count="9"/>
<word-count count="5188"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Key Points</title>
<list list-type="simple">
<list-item><p>- The HAT<sub>2</sub>CH<sub>2</sub> score predicts STE in older patients with CIED and without prior atrial fibrillation.</p></list-item>
<list-item><p>- HAT<sub>2</sub>CH<sub>2</sub> score of 0&#x02013;2 indicates low-risk, 3&#x02013;5: medium-risk, and 6&#x02013;7: high-risk, for STE events.</p></list-item>
</list></sec>
<sec id="s2">
<title>Why Does This Paper Matter?</title>
<p>Our study shows the prognostic value of HAT<sub>2</sub>CH<sub>2</sub> score for STE occurrence in older patients with CIEDs.</p></sec>
<sec sec-type="intro" id="s3">
<title>Introduction</title>
<p>A variety of cardiac implantable electronic devices (CIED) are used in the elderly, including permanent pacemakers (PPM) (<xref ref-type="bibr" rid="B1">1</xref>), cardiac resynchronization therapy (CRT) (<xref ref-type="bibr" rid="B2">2</xref>), and implantable cardioverter defibrillators (ICD) (<xref ref-type="bibr" rid="B2">2</xref>). Atrial high-rate episodes (AHRE), commonly detected by CIED, are an important risk factor for new-onset atrial fibrillation (<xref ref-type="bibr" rid="B3">3</xref>) The latest European Society of Cardiology guidelines (<xref ref-type="bibr" rid="B3">3</xref>) regarding non-valvular atrial fibrillation (AF) state that CIED-detected AHRE &#x0003E; 5&#x02013;6 min and &#x0003E; 180 bpm increase the risk for systemic thromboembolic events (STE). They recommend that AHRE &#x02265; 24 h should be closely monitored and treated. The CHA<sub>2</sub>DS<sub>2</sub>-VASc score is used for risk stratification of STE (<xref ref-type="bibr" rid="B4">4</xref>); however, its utility in non-valvular AF patients is controversial, primarily because this vascular scoring system does not include AF-related parameters (<xref ref-type="bibr" rid="B4">4</xref>). One meta-analysis showed that the discrimination power of the CHA<sub>2</sub>DS<sub>2</sub>-VASc score in predicting STE is modest and is similar in the presence or absence of non-valvular AF (<xref ref-type="bibr" rid="B4">4</xref>). Thus, more accurate STE prediction models are needed for assessing non-valvular AF and older patients with CIEDs.</p>
<p>The HAT<sub>2</sub>CH<sub>2</sub> score, based on patient age and the presence of hypertension, stroke or transient ischemic attack, chronic obstructive pulmonary disease (COPD), and heart failure, was developed in 2010 for identifying patients who are likely to progress to sustained forms of AF in the near future (<xref ref-type="bibr" rid="B5">5</xref>). Studies have investigated the use of HAT<sub>2</sub>CH<sub>2</sub> scores for predicting AF in cancer patients (<xref ref-type="bibr" rid="B6">6</xref>), in patients after coronary bypass surgery (<xref ref-type="bibr" rid="B7">7</xref>), and emergency-department patients (<xref ref-type="bibr" rid="B8">8</xref>). Other scoring systems for predicting new AF, including C<sub>2</sub>HEST (<xref ref-type="bibr" rid="B9">9</xref>), mC<sub>2</sub>HEST (<xref ref-type="bibr" rid="B10">10</xref>), and HAVOC (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>), have demonstrated acceptable discriminating power. For older patients with CIEDs, a small number of studies have investigated the performance of the HAT<sub>2</sub>CH<sub>2</sub>, C<sub>2</sub>HEST, mC<sub>2</sub>HEST, and HAVOC scoring systems for predicting new-onset atrial fibrillation and STE.</p>
<p>The present study aims to determine the performance of HAT<sub>2</sub>CH<sub>2</sub> score for predicting STE and to compare this performance to that of AHRE &#x02265; 24 h and other scoring systems (CHA<sub>2</sub>DS<sub>2</sub>-VASc, C<sub>2</sub>HEST, mC<sub>2</sub>HEST, and HAVOC) in older patients with CIEDs and no history of AF.</p></sec>
<sec sec-type="methods" id="s4">
<title>Methods</title>
<p>Consecutive patients &#x02265;18 years of age who underwent CIED implantation (Medtronic: dual chamber PPM, dual chamber ICD, CRTP, or CRTD) in the Cardiology Department of National Cheng Kung University Hospital from January 2015 to April 2021 were retrospectively included.</p>
<sec>
<title>Ethical Considerations</title>
<p>The protocol for this cohort study was reviewed and approved by the Ethics Committee of National Cheng Kung University Hospital and conducted according to guidelines of the International Conference on Harmonization for Good Clinical Practice (B-ER-108-278). All included patients provided signed informed consent for data to be used for later publication at the time of the implantation procedures.</p></sec>
<sec>
<title>Data Collection and Definitions</title>
<p>Patient medical histories and data regarding co-morbidities and echocardiographic parameters were collected from medical records for retrospective evaluation. Diabetes mellitus was defined as the presence of symptoms and casual plasma glucose concentration &#x02265; 200 mg/dL, fasting plasma glucose concentration &#x02265; 126 mg/dL, 2-h plasma glucose concentration &#x02265; 200 mg/dL from a 75-g oral glucose tolerance test, or taking medication for diabetes mellitus. Hypertension was defined as in-office systolic blood pressure &#x02265; 140 mmHg and/or diastolic blood pressure &#x02265; 90 mmHg or taking antihypertensive medication. Dyslipidemia was defined as low-density lipoprotein &#x02265; 140 mg/dL, high-density lipoprotein &#x0003C;40 mg/dL, triglycerides &#x02265; 150 mg/dL, or taking medication for dyslipidemia. Chronic kidney disease (CKD) was defined as an estimated glomerular filtration rate (eGFR) &#x0003C;60 mL/min/1.73 m<sup>2</sup> for at least 3 months. The primary endpoint for this study was the occurrence of STE after the date of CIED implantation, including stroke or transient ischemic attack (TIA) diagnosed by experienced neurologists based on clinical symptoms and brain imaging; pulmonary embolism diagnosed by experienced cardiologists based on clinical symptoms and chest imaging. TIA was defined as a transient episode of neurological dysfunction caused by focal brain, spinal cord, or retinal ischemia, without acute infarction. Pulmonary embolism was diagnosed using computed tomography pulmonary angiography or pulmonary angiography. For each outcome, only the first event of that outcome in a given patient was included. For the composite outcome, only the first event in a given patient was included.</p>
<p>AHRE data were extracted from the devices <italic>via</italic> telemetry at each office visit (every 3&#x02013;6 months). AHRE electrograms were reviewed by at least one experienced electrophysiologist, who carefully considered the possibility that the AHRE included lead noise or artifacts, far-field R-waves, or paroxysmal supraventricular tachycardia and thus visually confirmed AF in the detected AHRE. Atrial sensitivity was programmed to 0.3 mV with bipolar sensing of Medtronic devices. AHRE was defined as heart rate &#x0003E; 175 bpm and at least 30 s of atrial tachyarrhythmia recorded by the device on any day during the study period.</p></sec>
<sec>
<title>Scoring System Assessments</title>
<p>CHA<sub>2</sub>DS<sub>2</sub>-Vasc score (<xref ref-type="bibr" rid="B4">4</xref>): Range from 0 to 9. History of heart failure, hypertension, diabetes, vascular disease, age 65&#x02013;74 years, and female sex each is calculated as 1 point; 75 years or older and prior stroke, TIA, or thromboembolism each is calculated as 2 points; C<sub>2</sub>HEST score (<xref ref-type="bibr" rid="B9">9</xref>): Range from 0 to 8. C<sub>2</sub>: CAD/COPD (1 point each); H: hypertension (1 point); E: elderly (age &#x02265; 75 years, 2 points); S: systolic HF (2 points); and T: thyroid disease (hyperthyroidism, 1 point); mC<sub>2</sub>HEST score (<xref ref-type="bibr" rid="B10">10</xref>): Range from 0 to 8. C<sub>2</sub>: CAD/COPD (1 point each); H: hypertension (1 point); E: elderly (age 65&#x02013;74 years, 1 point; age &#x02265; 75 years, 2 points); S: systolic HF (2 points); and T: thyroid disease (hyperthyroidism, 1 point); HAVOC score (<xref ref-type="bibr" rid="B11">11</xref>): H: hypertension (2 points); A: age (age &#x02265; 75 years, 2 points); V: valvular heart disease (2 points), peripheral vascular disease (1 point); O: obesity (1 point); C: congestive heart failure (4 points) and coronary artery disease (2 points). HAT<sub>2</sub>CH<sub>2</sub> score (<xref ref-type="bibr" rid="B5">5</xref>): Range from 0 to 7. Hypertension, 1 point; age &#x0003E;75 years, 1 point; stroke or transient ischemic attack, 2 points; chronic obstructive pulmonary disease (COPD), 1 point; and heart failure, 2 points.</p></sec>
<sec>
<title>Statistical Analysis</title>
<p>Categorical variables are presented as percentages, and continuous variables are presented as the mean and standard deviation for normally distributed values or medians and as interquartile interval (IQI) for non-normally distributed values. Normal distribution for continuous variables was assessed using the Kolmogorov&#x02013;Smirnov method. Pearson&#x00027;s chi-square test or Fisher&#x00027;s exact-test was used to determine differences in baseline characteristics for categorical variables, and a two-sample Student&#x00027;s <italic>t</italic>-test or Mann&#x02013;Whitney <italic>U</italic>-test was used to analyze continuous variables. Survival was estimated using the Kaplan&#x02013;Meier method, and differences in survival were evaluated using the log-rank test. Multivariate Cox regression analysis was used to identify variables associated with STE occurrence, reported as hazard ratios (HR) with 95% confidence intervals (CI). Parameters with <italic>p</italic> &#x0003C; 0.05 in univariable analysis and age, gender, body mass index, were entered into multivariable analysis. The receiver-operating characteristic (ROC) area under the curve (AUC) of the HAT<sub>2</sub>CH<sub>2</sub> score and the associated 95% confidence interval (CI) was evaluated for association with future STE after CIED implantation. The optimal cutoff values with the highest Youden index were chosen based on the results of ROC curve analysis and used to evaluate the associated values of the HAT<sub>2</sub>CH<sub>2</sub> score for determining STE. For all comparisons, <italic>p</italic> &#x0003C; 0.05 was considered statistically significant. All data were analyzed using SPSS statistical package version 23.0 (SPSS Inc. Chicago, IL, USA).</p></sec></sec>
<sec sec-type="results" id="s5">
<title>Results</title>
<p>Between January 1, 2014 and April, 2021, a total of 453 consecutive patients who underwent Medtronic CIED implantation at National Cheng Kung University Hospital were recruited. Patients with previous AF (<italic>n</italic> = 105) and those age &#x0003C;65 years (<italic>n</italic> = 129) were excluded. The final analysis included 219 patients, of which 16 had experienced STE.</p>
<p>The median follow-up period was 35 months after CIED implantation. <xref ref-type="table" rid="T1">Table 1</xref> shows patient baseline demographic and clinical characteristics according to the presence or absence of STE. The median age was 77 years, and 61.2% were men. Most patients were not obese. The types of CIED included dual chamber PPM (173; 79.0%), dual chamber ICD (66; 21.0%); CRTP (23; 7.3%); and CRTD (5; 1.6%). The most common indication for CIED implantation was sick sinus syndrome (53.9%), followed by atrioventricular block (25.1%) (<xref ref-type="table" rid="T1">Table 1</xref>). We observed an overall atrial pacing median of 33.5% and ventricular pacing median of 4.3%. High percentages of hypertension (92.2%), hyperlipidemia (86.3%), diabetes (52.1%), and CKD (39.7%) suggest a relatively high risk of STE for the entire study cohort. Ninety-two patients (42.0%) received antiplatelet agents and 21 patients (9.6%) received anticoagulants. Data regarding the type and incidence of STEs are reported in <xref ref-type="table" rid="T2">Table 2</xref>. The total number of STEs was 16 [incidence rate (IR), 2.51/100 patient-years; 95% CI, 1.65&#x02013;5.48] (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Baseline characteristics of the overall study group and with/without systemic thromboembolic events.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>All patients (<italic>N</italic> &#x0003D; 219)</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Systemic thromboembolic event</bold></th>
<th valign="top" align="center"><bold>Univariate <italic>p</italic></bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Multivariate Cox regression analysis</bold></th>
</tr>
<tr>
<th/>
<th/>
<th valign="top" align="center"><bold>Yes (<italic>N</italic> &#x0003D; 16)</bold></th>
<th valign="top" align="center"><bold>No (<italic>N</italic> &#x0003D; 203)</bold></th>
<th/>
<th valign="top" align="center"><bold>HR</bold></th>
<th valign="top" align="center"><bold>95%CI</bold></th>
<th valign="top" align="center"><bold><italic>p</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">77 (71&#x02013;84)</td>
<td valign="top" align="center">78 (70&#x02013;84)</td>
<td valign="top" align="center">77 (71&#x02013;84)</td>
<td valign="top" align="center">0.905</td>
<td valign="top" align="center">0.910</td>
<td valign="top" align="center">0.824&#x02013;1.006</td>
<td valign="top" align="center">0.065</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center"><bold>0.909</bold></td>
<td valign="top" align="center"><bold>0.822&#x02013;1.006</bold></td>
<td valign="top" align="center"><bold>0.064</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Sex</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.112</td>
<td valign="top" align="center">1.302</td>
<td valign="top" align="center">0.317&#x02013;5.346</td>
<td valign="top" align="center">0.715</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center"><bold>1.217</bold></td>
<td valign="top" align="center"><bold>0.287&#x02013;5.167</bold></td>
<td valign="top" align="center"><bold>0.790</bold></td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">134 (61.2%)</td>
<td valign="top" align="center">13 (81.3%)</td>
<td valign="top" align="center">121 (59.6%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">85 (38.8%)</td>
<td valign="top" align="center">3 (18.8%)</td>
<td valign="top" align="center">82 (40.4%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">24.2 (22.2&#x02013;25.9)</td>
<td valign="top" align="center">23.9 (22.7&#x02013;27.0)</td>
<td valign="top" align="center">24.3 (22.1&#x02013;25.9)</td>
<td valign="top" align="center">0.746</td>
<td valign="top" align="center">1.041</td>
<td valign="top" align="center">0.832&#x02013;1.302</td>
<td valign="top" align="center">0.726</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center"><bold>1.038</bold></td>
<td valign="top" align="center"><bold>0.836&#x02013;1.288</bold></td>
<td valign="top" align="center"><bold>0.738</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Device type</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.437</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Dual chamber PM</td>
<td valign="top" align="center">173 (79.0%)</td>
<td valign="top" align="center">15 (93.8%)</td>
<td valign="top" align="center">158 (77.8%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Dual chamber ICD</td>
<td valign="top" align="center">23 (10.5%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">23 (11.3%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CRTP</td>
<td valign="top" align="center">19 (8.7%)</td>
<td valign="top" align="center">1 (6.3%)</td>
<td valign="top" align="center">18 (8.9%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CRTD</td>
<td valign="top" align="center">4 (1.8%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">4 (2.0%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Primary indication</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.282</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sinus node dysfunction</td>
<td valign="top" align="center">118 (53.9%)</td>
<td valign="top" align="center">12 (75.0%)</td>
<td valign="top" align="center">106 (52.2%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Atrioventricular block</td>
<td valign="top" align="center">55 (25.1%)</td>
<td valign="top" align="center">3 (18.8%)</td>
<td valign="top" align="center">52 (25.6%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Heart failure/VT/VF</td>
<td valign="top" align="center">46 (21.0%)</td>
<td valign="top" align="center">1 (6.3%)</td>
<td valign="top" align="center">45 (22.1%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Atrial pacing (%)</td>
<td valign="top" align="center">33.5 (9.1&#x02013;79.1)</td>
<td valign="top" align="center">15.9 (1.1&#x02013;85.3)</td>
<td valign="top" align="center">34.3 (10.1&#x02013;77.7)</td>
<td valign="top" align="center">0.428</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Ventricular pacing (%)</td>
<td valign="top" align="center">4.3 (0.2&#x02013;98.7)</td>
<td valign="top" align="center">21.9 (0.5&#x02013;90.9)</td>
<td valign="top" align="center">2.9 (0.2&#x02013;98.7)</td>
<td valign="top" align="center">0.483</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">202 (92.2%)</td>
<td valign="top" align="center">16 (100.0%)</td>
<td valign="top" align="center">186 (91.6%)</td>
<td valign="top" align="center">0.620</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">114 (52.1%)</td>
<td valign="top" align="center">12 (75.0%)</td>
<td valign="top" align="center">102 (50.2%)</td>
<td valign="top" align="center">0.070</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hyperlipidemia</td>
<td valign="top" align="center">189 (86.3%)</td>
<td valign="top" align="center">16 (100.0%)</td>
<td valign="top" align="center">173 (85.2%)</td>
<td valign="top" align="center">0.137</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Chronic obstructive pulmonary disease</td>
<td valign="top" align="center">14 (6.4%)</td>
<td valign="top" align="center">1 (6.3%)</td>
<td valign="top" align="center">13 (6.4%)</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Prior myocardial infarction</td>
<td valign="top" align="center">46 (21.0%)</td>
<td valign="top" align="center">4 (25.0%)</td>
<td valign="top" align="center">42 (20.7%)</td>
<td valign="top" align="center">0.750</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Coronary artery disease</td>
<td valign="top" align="center">67 (30.6%)</td>
<td valign="top" align="center">6 (37.5%)</td>
<td valign="top" align="center">61 (30.0%)</td>
<td valign="top" align="center">0.533</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Heart failure</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.259</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Preserved LVEF</td>
<td valign="top" align="center">24 (11.0%)</td>
<td valign="top" align="center">2 (12.5%)</td>
<td valign="top" align="center">22 (10.8%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Reduced LVEF</td>
<td valign="top" align="center">48 (21.9%)</td>
<td valign="top" align="center">6 (37.5%)</td>
<td valign="top" align="center">42 (20.7%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">147 (67.1%)</td>
<td valign="top" align="center">8 (50.0%)</td>
<td valign="top" align="center">139 (68.5%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney disease</td>
<td valign="top" align="center">87 (39.7%)</td>
<td valign="top" align="center">8 (50.0%)</td>
<td valign="top" align="center">79 (38.9%)</td>
<td valign="top" align="center">0.383</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Chronic liver disease</td>
<td valign="top" align="center">8 (3.7%)</td>
<td valign="top" align="center">1 (6.3%)</td>
<td valign="top" align="center">7 (3.4%)</td>
<td valign="top" align="center">0.461</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Thyroid disease</td>
<td valign="top" align="center">16 (7.3%)</td>
<td valign="top" align="center">1 (6.3%)</td>
<td valign="top" align="center">15 (7.4%)</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Peripheral artery disease</td>
<td valign="top" align="center">4 (1.8%)</td>
<td valign="top" align="center">1 (6.3%)</td>
<td valign="top" align="center">3 (1.5%)</td>
<td valign="top" align="center">0.263</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Valvular heart disease</td>
<td valign="top" align="center">25 (11.4%)</td>
<td valign="top" align="center">1 (6.3%)</td>
<td valign="top" align="center">24 (11.8%)</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">New atrial fibrillation</td>
<td valign="top" align="center">22 (10.0%)</td>
<td valign="top" align="center">5 (31.3%)</td>
<td valign="top" align="center">17 (8.4%)</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center"><bold>1.545</bold></td>
<td valign="top" align="center"><bold>0.467&#x02013;5.114</bold></td>
<td valign="top" align="center"><bold>0.477</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin (mg/dL)</td>
<td valign="top" align="center">12.0 (10.8&#x02013;13.0)</td>
<td valign="top" align="center">11.3 (10.0&#x02013;12.0)</td>
<td valign="top" align="center">12.0 (11.0&#x02013;13.0)</td>
<td valign="top" align="center">0.115</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Platelet</td>
<td valign="top" align="center">201 (168&#x02013;220)</td>
<td valign="top" align="center">186 (143&#x02013;233)</td>
<td valign="top" align="center">203 (172&#x02013;220)</td>
<td valign="top" align="center">0.259</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="8"><bold>Echo parameters</bold></td>
</tr>
<tr>
<td valign="top" align="left">LVEF (%)</td>
<td valign="top" align="center">66.7 (54.0&#x02013;73.0)</td>
<td valign="top" align="center">58.5 (42.8&#x02013;70.8)</td>
<td valign="top" align="center">67.0 (55.0&#x02013;74.0)</td>
<td valign="top" align="center">0.164</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mitral E/e&#x02032;</td>
<td valign="top" align="center">11.8 (9.0&#x02013;14.0)</td>
<td valign="top" align="center">11.1 (10.0&#x02013;15.8)</td>
<td valign="top" align="center">12.0 (9.0&#x02013;14.0)</td>
<td valign="top" align="center">0.480</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">LA diameter (cm)</td>
<td valign="top" align="center">3.8 (3.4&#x02013;4.1)</td>
<td valign="top" align="center">3.8 (3.6&#x02013;4.3)</td>
<td valign="top" align="center">3.8 (3.3&#x02013;4.1)</td>
<td valign="top" align="center">0.414</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">RV systolic function (s&#x02032;, m/s)</td>
<td valign="top" align="center">12.0 (11.0&#x02013;14.0)</td>
<td valign="top" align="center">12.0 (10.3&#x02013;14.0)</td>
<td valign="top" align="center">12.0 (11.0&#x02013;14.0)</td>
<td valign="top" align="center">0.953</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="8"><bold>Drugs prescribed at baseline</bold></td>
</tr>
<tr>
<td valign="top" align="left">Antiplatelets</td>
<td valign="top" align="center">92 (42.0%)</td>
<td valign="top" align="center">10 (62.5%)</td>
<td valign="top" align="center">82 (40.4%)</td>
<td valign="top" align="center">0.085</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anticoagulants</td>
<td valign="top" align="center">21 (9.6%)</td>
<td valign="top" align="center">2 (12.5%)</td>
<td valign="top" align="center">19 (9.4%)</td>
<td valign="top" align="center">0.656</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Beta blockers</td>
<td valign="top" align="center">72 (32.9%)</td>
<td valign="top" align="center">7 (43.8%)</td>
<td valign="top" align="center">65 (32.0%)</td>
<td valign="top" align="center">0.336</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Ivabradine</td>
<td valign="top" align="center">16 (7.3%)</td>
<td valign="top" align="center">2 (12.5%)</td>
<td valign="top" align="center">14 (6.9%)</td>
<td valign="top" align="center">0.330</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Amiodarone</td>
<td valign="top" align="center">37 (16.9%)</td>
<td valign="top" align="center">1 (6.3%)</td>
<td valign="top" align="center">36 (17.7%)</td>
<td valign="top" align="center">0.320</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Flecainide</td>
<td valign="top" align="center">1 (0.5%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">1 (0.5%)</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Propafenone</td>
<td valign="top" align="center">8 (3.7%)</td>
<td valign="top" align="center">1 (6.3%)</td>
<td valign="top" align="center">7 (3.4%)</td>
<td valign="top" align="center">0.461</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Digoxin</td>
<td valign="top" align="center">4 (1.8%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">4 (2.0%)</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Non-DHP CCBs</td>
<td valign="top" align="center">6 (2.7%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">6 (3.0%)</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">RAAS inhibitors</td>
<td valign="top" align="center">104 (47.7%)</td>
<td valign="top" align="center">5 (31.3%)</td>
<td valign="top" align="center">99 (49.0%)</td>
<td valign="top" align="center">0.171</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Diuretics</td>
<td valign="top" align="center">34 (15.5%)</td>
<td valign="top" align="center">5 (31.3%)</td>
<td valign="top" align="center">29 (14.3%)</td>
<td valign="top" align="center">0.071</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Statins</td>
<td valign="top" align="center">90 (41.1%)</td>
<td valign="top" align="center">3 (18.8%)</td>
<td valign="top" align="center">87 (42.9%)</td>
<td valign="top" align="center">0.068</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Metformin</td>
<td valign="top" align="center">38 (17.4%)</td>
<td valign="top" align="center">1 (6.3%)</td>
<td valign="top" align="center">37 (18.2%)</td>
<td valign="top" align="center">0.317</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">SGLT2 inhibitors</td>
<td valign="top" align="center">9 (4.1%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">9 (4.4%)</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Follow-up duration (months)</td>
<td valign="top" align="center">35 (16&#x02013;53)</td>
<td valign="top" align="center">17.5 (12.0&#x02013;49.5)</td>
<td valign="top" align="center">36.0 (16.0&#x02013;53.0)</td>
<td valign="top" align="center">0.091</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CHA<sub>2</sub>DS<sub>2</sub>-VASc score</td>
<td valign="top" align="center">4 (3&#x02013;4)</td>
<td valign="top" align="center">4 (3&#x02013;5)</td>
<td valign="top" align="center">4 (3&#x02013;4)</td>
<td valign="top" align="center">0.097</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">C<sub>2</sub>HEST score</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
<td valign="top" align="center">3 (2&#x02013;4)</td>
<td valign="top" align="center">0.211</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">mC<sub>2</sub>HEST score</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
<td valign="top" align="center">4 (3&#x02013;5)</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
<td valign="top" align="center">0.170</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">HAVOC score</td>
<td valign="top" align="center">4 (4&#x02013;8)</td>
<td valign="top" align="center">6 (4&#x02013;8)</td>
<td valign="top" align="center">4 (4&#x02013;7)</td>
<td valign="top" align="center">0.272</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">HAT<sub>2</sub>CH<sub>2</sub> score</td>
<td valign="top" align="center">2 (2&#x02013;3)</td>
<td valign="top" align="center">4 (3&#x02013;6)</td>
<td valign="top" align="center">2 (2&#x02013;3)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">3.405</td>
<td valign="top" align="center">2.272&#x02013;5.104</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center"><bold>3.363</bold></td>
<td valign="top" align="center"><bold>2.253&#x02013;5.019</bold></td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">AHRE &#x02265; 24 h</td>
<td valign="top" align="center">27 (12.3%)</td>
<td valign="top" align="center">5 (31.3%)</td>
<td valign="top" align="center">22 (10.8%)</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">1.229</td>
<td valign="top" align="center">0.345&#x02013;4.381</td>
<td valign="top" align="center">0.750</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Data are presented as the median (interquartile interval) or n (%). Non-parametric continuous variables, as assessed using the Kolmogorov&#x02013;Smirnov method, were analyzed using the Mann&#x02013;Whitney U test. Statistical significance is set at p &#x0003C; 0.05</italic>.</p>
<p><italic>BMI, body mass index; PM, pacemaker; ICD, implantable cardioverter defibrillator; CRTP, cardiac resynchronization therapy pacemaker; CRTD, cardiac resynchronization therapy defibrillator; VT, ventricular tachycardia; VF, ventricular fibrillation; LVEF, left ventricular ejection fraction; LA, left atrium; RV, right ventricle; non-DHP CCBs, non-dihydropyridine calcium channel blockers; RAAS, renin-angiotensin-aldosterone system; SGLT2, sodium glucose co-transporters 2; CHA<sub>2</sub>DS<sub>2</sub>-Vasc score: Range from 0 to 9. History of heart failure, hypertension, diabetes, vascular disease, age 65&#x02013;74 years, and female sex each is calculated as 1 point; 75 years or older and prior stroke, TIA, or thromboembolism each is calculated as 2 points; C<sub>2</sub>HEST score: Range from 0 to 8. C<sub>2</sub>, CAD/COPD (1 point each); H, hypertension (1 point); E, elderly (age &#x02265; 75 years, 2 points); S, systolic HF (2 points); and T, thyroid disease (hyperthyroidism, 1 point); mC<sub>2</sub>HEST score: Range from 0 to 8. C<sub>2</sub>, CAD/COPD (1 point each); H, hypertension (1 point); E, elderly (age 65&#x02013;74 years, 1 point; age &#x02265; 75 years, 2 points); S, systolic HF (2 points); and T, thyroid disease (hyperthyroidism, 1 point); HAVOC score: H, hypertension (2 points); A, age (age &#x02265; 75 years, 2 points); V, valvular heart disease (2 points), peripheral vascular disease (1 point); O, obesity (1 point); C, congestive heart failure (4 points) and coronary artery disease (2 points); HAT<sub>2</sub>CH<sub>2</sub> score: Range from 0 to 7. Hypertension, 1 point; age &#x0003E;75 years, 1 point; stroke or transient ischemic attack, 2 points; chronic obstructive pulmonary disease, 1 point; heart failure, 2 points; AHRE, atrial high-rate episodes</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Type and incidence of systemic thromboembolic events.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Thromboembolic event type</bold></th>
<th valign="top" align="center"><bold>Number</bold></th>
<th valign="top" align="center"><bold>Incidence rate (100 patient-years)</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Transient ischemic attack</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1.41</td>
<td valign="top" align="center">0.93&#x02013;3.08</td>
</tr>
<tr>
<td valign="top" align="left">Ischemic stroke</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.62&#x02013;2.05</td>
</tr>
<tr>
<td valign="top" align="left">Pulmonary embolism</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.10&#x02013;0.34</td>
</tr>
<tr>
<td valign="top" align="left">Total events</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">2.51</td>
<td valign="top" align="center">1.65&#x02013;5.48</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>CI, confidence intervals</italic>.</p>
</table-wrap-foot>
</table-wrap>
<sec>
<title>Univariate Analysis and Multivariate Cox Regression Analysis to Identify Independent Predictors of STE</title>
<p>Univariate analysis revealed that STE occurrence was significantly associated with AHRE &#x02265; 24 h, new AF, and HAT<sub>2</sub>CH<sub>2</sub> score (<xref ref-type="table" rid="T1">Table 1</xref>). Multivariate Cox regression analysis showed that only the HAT<sub>2</sub>CH<sub>2</sub> score was independently associated with STE (HR, 3.405; 95% CI, 2.272&#x02013;5.104; <italic>p</italic> &#x0003C; 0.001). Twenty-two patients (10.0%) had new AF. Only the HAT<sub>2</sub>CH<sub>2</sub> score differed significantly between those with and without new AF (<italic>p</italic> = 0.025) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>).</p></sec>
<sec>
<title>ROC-AUC Determination of AHRE and HAT<sub>2</sub>CH<sub>2</sub> Score Cutoff Values for Factors Predictive of Future STE and Survival Analysis</title>
<p>The optimal HAT<sub>2</sub>CH<sub>2</sub> score cutoff value predictive of future STE was determined to be 3 according to the highest Youden index (sensitivity, 100.0%; specificity, 80.0%; AUC, 0.907; 95% CI, 0.853&#x02013;0.962; <italic>p</italic> &#x0003C; 0.001) (see <xref ref-type="fig" rid="F1">Figure 1</xref>). Kaplan&#x02013;Meier curves depict the cumulative survival rates without STE according to HAT<sub>2</sub>CH<sub>2</sub> score groups of 0&#x02013;7. Patients with a HAT<sub>2</sub>CH<sub>2</sub> score of 4&#x02013;7 had a higher risk for NE development than did those with a HAT<sub>2</sub>CH<sub>2</sub> score of 0&#x02013;3 (log-rank test, <italic>p</italic> &#x0003C; 0.001) (see <xref ref-type="fig" rid="F2">Figure 2</xref>). The rate of NE occurrence significantly increased with increasing HAT<sub>2</sub>CH<sub>2</sub> score, as follows: 0&#x02013;2 (0%), 3 (11.8%), 4 (14.7%), 5 (37.5%), to 6&#x02013;7 (100%) (<italic>p</italic> &#x0003C; 0.001) (see <xref ref-type="fig" rid="F3">Figure 3</xref>). We further classified our study population as very low risk (HAT<sub>2</sub>CH<sub>2</sub> score, 0&#x02013;2), low risk (HAT<sub>2</sub>CH<sub>2</sub> score, 3), medium risk (HAT<sub>2</sub>CH<sub>2</sub> score, 4), high risk (HAT<sub>2</sub>CH<sub>2</sub> score, 5), and very high risk (HAT<sub>2</sub>CH<sub>2</sub> score, 6&#x02013;7).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Receiver-operating characteristic curve analysis of the HAT<sub>2</sub>CH<sub>2</sub> score in patients with CIEDs with subsequent systemic thromboembolic events. HAT<sub>2</sub>CH<sub>2</sub> score: optimal cutoff value with the highest Youden index, 3; sensitivity, 100.0%; specificity, 80.0%; AUC, 0.907; 95% CI, 0.853&#x02013;0.962; <italic>p</italic> &#x0003C; 0.001.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-08-786779-g0001.tif"/>
</fig>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Kaplan&#x02013;Meier curves depicting the cumulative survival rates free from systemic thromboembolic events with respect to HAT<sub>2</sub>CH<sub>2</sub> scores (0&#x02013;7; log-rank <italic>p</italic> &#x0003C; 0.001).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-08-786779-g0002.tif"/>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Systemic thromboembolic event rate significantly increased with increasing HAT<sub>2</sub>CH<sub>2</sub> score.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-08-786779-g0003.tif"/>
</fig></sec></sec>
<sec sec-type="discussion" id="s6">
<title>Discussion</title>
<p>The main finding of this study is that the HAT<sub>2</sub>CH<sub>2</sub> score is significantly and independently associated with STE in a population of older Taiwanese patients with CIED and no history of AF. The optimal HAT<sub>2</sub>CH<sub>2</sub> score cutoff value for predicting subsequent STE was 3, with 100% sensitivity and 80% specificity. These results suggest that comprehensive assessment of older patients with CIED to determine the HAT<sub>2</sub>CH<sub>2</sub> score may be warranted to allow for early, aggressive therapy to prevent STE.</p>
<p>The present study was conducted because the performance of several AF-predicting scoring systems (CHA<sub>2</sub>DS<sub>2</sub>-VASc, HAT<sub>2</sub>CH<sub>2</sub>, C<sub>2</sub>HEST, mC<sub>2</sub>HEST, and HAVOC) for predicting subsequent STE in older patients with CIED had not been confirmed. Of these scoring systems, CHA<sub>2</sub>DS<sub>2</sub>-VASc is recommended for predicting the risk of STE in patients with non-valvular AF (<xref ref-type="bibr" rid="B3">3</xref>). However, some studies report that the discrimination power of the CHA<sub>2</sub>DS<sub>2</sub>-VASc score for predicting STE in patients without non-valvular AF is insufficient (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Melgaard et al. (<xref ref-type="bibr" rid="B15">15</xref>) showed the predictive accuracy of the CHA<sub>2</sub>DS<sub>2</sub>-VASc score for STE in patients with heart failure and without AF was modest (C-statistic, 0.64; 95% CI, 0.61&#x02013;0.67). A meta-analysis by Siddiqi et al. (<xref ref-type="bibr" rid="B4">4</xref>) including 9 studies of patients (<italic>n</italic> = 453,747) with non-valvular AF and 10 studies of patients (<italic>n</italic> = 138262) without non-valvular AF reports that the discrimination power is modest (C-statistic, 0.67; 95% CI, 0.64&#x02013;0.70) (<xref ref-type="bibr" rid="B4">4</xref>). Furthermore, Hu et al. used data from the Taiwan Health Insurance Research Database, reporting that for patients with venous thromboembolism (<italic>n</italic> = 56 996), the area under the curve of ROC for CHA<sub>2</sub>DS<sub>2</sub>-VASc score for predicting STE was 0.66, which also is modest (<xref ref-type="bibr" rid="B13">13</xref>). Therefore, more accurate models are needed for predicting STE in patients without AF.</p>
<p>To the best of our knowledge, the current study is the first to show that the HAT<sub>2</sub>CH<sub>2</sub> score more accurately predicts the risk of STE in patients with CIED than does the CHA<sub>2</sub>DS<sub>2</sub>-VASc, C<sub>2</sub>HEST, mCHEST, or HAVOC score (<xref ref-type="table" rid="T1">Table 1</xref>); the AUC of the ROC curve is 0.907, indicating excellent discrimination (<xref ref-type="fig" rid="F1">Figure 1</xref>). We also proposed an STE risk stratification scheme based on the HAT<sub>2</sub>CH<sub>2</sub> score (0&#x02013;2, low risk; 3&#x02013;5, medium risk; and 6&#x02013;7, high risk) (<xref ref-type="fig" rid="F3">Figure 3</xref>). Validation of this scheme in an external population is needed to confirm the accuracy of HAT<sub>2</sub>CH<sub>2</sub> scores for predicting STE in patients with CIED.</p>
<p>We also observed that of the scoring systems investigated here, only the HAT<sub>2</sub>CH<sub>2</sub> score could independently predict new-onset AF in this study population. The HAT<sub>2</sub>CH<sub>2</sub> score includes COPD as one point instead of diabetes or vascular disease included as one point in the CHA<sub>2</sub>DS<sub>2</sub>-VASc score. Thus, different diseases have different effects on the risk of STE in patients with CIED. For example, systemic inflammation and oxidative stress are associated with COPD and promote platelet hyperactivity and cerebral vascular dysfunction (<xref ref-type="bibr" rid="B14">14</xref>), and COPD increases the risk of STE, independent of other shared risk factors of cardiovascular disease (<xref ref-type="bibr" rid="B16">16</xref>). Additional prospective studies are needed to elucidate the possible mechanisms underlying COPD-related STE risk and to identify effective preventive interventions.</p>
<p>Current guidelines recommend that patients with AHRE &#x02265; 24 h should be regarded as having the same risk of STE as those with clinical AF (<xref ref-type="bibr" rid="B3">3</xref>). A recent systemic review and meta-analysis also demonstrated that AHRE detected by CIED in patients without prior AF would increase the risks of stroke and clinical AF (<xref ref-type="bibr" rid="B17">17</xref>). Therefore, in the current study, we included AHRE &#x02265; 24 h (<xref ref-type="table" rid="T1">Table 1</xref>) and new AF (<xref ref-type="table" rid="T1">Table 1</xref>) in the multivariate Cox regression analysis for predicting STE. However, the HAT<sub>2</sub>CH<sub>2</sub> score was still the only independent predictor of STE in our cohort. Although the proportion of STE associated with AF increases progressively with age (<xref ref-type="bibr" rid="B18">18</xref>), the cause of STE in a large proportion of patients is not cardioembolic. Non-cardioembolic risk factors for STE include atherosclerotic intracranial arterial stenosis (<xref ref-type="bibr" rid="B19">19</xref>), carotid atherosclerotic stenosis (<xref ref-type="bibr" rid="B20">20</xref>), and complex aortic plaque (<xref ref-type="bibr" rid="B21">21</xref>); these conditions share more risk factors with the HAT<sub>2</sub>CH<sub>2</sub> score parameters than with the AHRE &#x02265; 24 h or AF. Therefore, the HAT<sub>2</sub>CH<sub>2</sub> score provides a more comprehensive evaluation of STE risk factors in this population.</p>
<sec>
<title>Limitations</title>
<p>The present study has several limitations. First, this was a single-center, retrospective, observational study with a relatively small number of older patients with CIED in a hospital setting, and all patients were Taiwanese. As a result, causality cannot be inferred between the HAT<sub>2</sub>CH<sub>2</sub> score and STE, and the presence of confounding factors cannot be ruled out. Also, the results may not be generalizable to other populations. Prospective multicenter studies with larger cohorts are required to confirm the results of this study. Second, this study did not investigate the nature of heart rhythms at the time of STE onset. Third, because the patient data were analyzed retrospectively, we could not confirm that patients started anticoagulants for the treatment of CIED-detected AHRE, although these patients were not excluded because no significant difference were found between anticoagulants use and the presence (2, 12.5%) or absence (19, 9.4%) of STE (<italic>p</italic> = 0.656) (<xref ref-type="table" rid="T1">Table 1</xref>). Fourthly, it is necessary to take into consideration the older patients&#x00027; heterogeneity in the current retrospective study in terms of frailty and dependence, undergoing a detailed multidimensional geriatric assessment before CIED therapy should be a critically important step. Finally, not all National Institutes of Health Stroke Scale was available in all patients with STE will limit the power to detect the severity of STE.</p></sec></sec>
<sec sec-type="conclusions" id="s7">
<title>Conclusions</title>
<p>STEs are not uncommon in older patients after CIED implantation. The HAT<sub>2</sub>CH<sub>2</sub> score is an independent predictor of STE risk in this population. Our results suggest that for patients with CIED and no history of AF, determination of the HAT<sub>2</sub>CH<sub>2</sub> score may be warranted to allow for early, aggressive therapy to prevent STE, especially in those with HAT<sub>2</sub>CH<sub>2</sub> score &#x02265; 3.</p></sec>
<sec sec-type="data-availability" id="s8">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p></sec>
<sec id="s9">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of National Cheng Kung University Hospital. All patients provided signed informed consent at the time of CIED implantation for later use of their data in publications.</p></sec>
<sec id="s10">
<title>Author Contributions</title>
<p>J-YC: conception and design, data analysis and interpretation, statistical analysis, drafting and finalizing the manuscript, and critical revision of the manuscript for important intellectual content. T-WC and W-DL: data acquisition. All authors contributed to the article and approved the submitted version.</p></sec>
<sec sec-type="funding-information" id="s11">
<title>Funding</title>
<p>The authors would like to thank the Ministry of Science and Technology of the Republic of China, Taiwan, for financially supporting this research under contract MOST 110-2218-E-006-017.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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="s12">
<title>Publisher&#x00027;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> </body>
<back>
<ack><p>The authors would like to thank Convergence CT for assistance with English editing of the manuscript.</p>
</ack>
<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/fmed.2021.786779/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmed.2021.786779/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.PDF" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/></sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gregoratos</surname> <given-names>G</given-names></name></person-group>. <article-title>Permanent pacemakers in older persons</article-title>. <source>J Am Geriatr Soc.</source> (<year>1999</year>) <volume>47</volume>:<fpage>1125</fpage>&#x02013;<lpage>35</lpage>. <pub-id pub-id-type="doi">10.1111/j.1532-5415.1999.tb05239.x</pub-id><pub-id pub-id-type="pmid">10484258</pub-id></citation></ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sandhu</surname> <given-names>A</given-names></name> <name><surname>Levy</surname> <given-names>A</given-names></name> <name><surname>Varosy</surname> <given-names>PD</given-names></name> <name><surname>Matlock</surname> <given-names>D</given-names></name></person-group>. <article-title>Implantable cardioverter-defibrillators and cardiac resynchronization therapy in older adults with heart failure</article-title>. <source>J Am Geriatr Soc.</source> (<year>2019</year>) <volume>67</volume>:<fpage>2193</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1111/jgs.16099</pub-id><pub-id pub-id-type="pmid">31403714</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hindricks</surname> <given-names>G</given-names></name> <name><surname>Potpara</surname> <given-names>T</given-names></name> <name><surname>Dagres</surname> <given-names>N</given-names></name> <name><surname>Arbelo</surname> <given-names>E</given-names></name> <name><surname>Bax</surname> <given-names>JJ</given-names></name> <name><surname>Blomstr&#x000F6;m-Lundqvist</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): the task force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC</article-title>. <source>Eur Heart J.</source> (<year>2021</year>) <volume>42</volume>:<fpage>373</fpage>&#x02013;<lpage>498</lpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehab648</pub-id><pub-id pub-id-type="pmid">34520521</pub-id></citation></ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Siddiqi</surname> <given-names>TJ</given-names></name> <name><surname>Usman</surname> <given-names>MS</given-names></name> <name><surname>Shahid</surname> <given-names>I</given-names></name> <name><surname>Ahmed</surname> <given-names>J</given-names></name> <name><surname>Khan</surname> <given-names>SU</given-names></name> <name><surname>Ya&#x00027;qoub</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Utility of the CHA2DS2-VASc score for predicting ischaemic stroke in patients with or without atrial fibrillation: a systematic review and meta-analysis</article-title>. <source>Eur J Prev Cardiol</source>. (<year>2021</year>). <pub-id pub-id-type="doi">10.1093/eurjpc/zwab018.</pub-id> [Epub ahead of print].<pub-id pub-id-type="pmid">33693717</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>de Vos</surname> <given-names>CB</given-names></name> <name><surname>Pisters</surname> <given-names>R</given-names></name> <name><surname>Nieuwlaat</surname> <given-names>R</given-names></name> <name><surname>Prins</surname> <given-names>MH</given-names></name> <name><surname>Tieleman</surname> <given-names>RG</given-names></name> <name><surname>Coelen</surname> <given-names>RJ</given-names></name> <etal/></person-group>. <article-title>Progression from paroxysmal to persistent atrial fibrillation clinical correlates and prognosis</article-title>. <source>J Am Coll Cardiol.</source> (<year>2010</year>) <volume>55</volume>:<fpage>725</fpage>&#x02013;<lpage>31</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2009.11.040</pub-id><pub-id pub-id-type="pmid">20170808</pub-id></citation></ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>WS</given-names></name> <name><surname>Lin</surname> <given-names>CL</given-names></name></person-group>. <article-title>Comparison of CHA<sub>2</sub> DS<sub>2</sub>-VASc, CHADS<sub>2</sub> and HATCH scores for the prediction of new-onset atrial fibrillation in cancer patients: a nationwide cohort study of 760,339 study participants with competing risk analysis</article-title>. <source>Atherosclerosis.</source> (<year>2017</year>) <volume>266</volume>:<fpage>205</fpage>&#x02013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.1016/j.atherosclerosis.2017.10.007</pub-id><pub-id pub-id-type="pmid">29049919</pub-id></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Emren</surname> <given-names>V</given-names></name> <name><surname>Aldemir</surname> <given-names>M</given-names></name> <name><surname>Duygu</surname> <given-names>H</given-names></name> <name><surname>Kocaba&#x0015F;</surname> <given-names>U</given-names></name> <name><surname>Tecer</surname> <given-names>E</given-names></name> <name><surname>Cerit</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Usefulness of HATCH score as a predictor of atrial fibrillation after coronary artery bypass graft</article-title>. <source>Kardiol Pol.</source> (<year>2016</year>) <volume>74</volume>:<fpage>749</fpage>&#x02013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.5603/KP.a2016.0045</pub-id><pub-id pub-id-type="pmid">27040011</pub-id></citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Barrett</surname> <given-names>TW</given-names></name> <name><surname>Self</surname> <given-names>WH</given-names></name> <name><surname>Wasserman</surname> <given-names>BS</given-names></name> <name><surname>McNaughton</surname> <given-names>CD</given-names></name> <name><surname>Darbar</surname> <given-names>D</given-names></name></person-group>. <article-title>Evaluating the HATCH score for predicting progression to sustained atrial fibrillation in ED patients with new atrial fibrillation</article-title>. <source>Am J Emerg Med.</source> (<year>2013</year>) <volume>31</volume>:<fpage>792</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.ajem.2013.01.020</pub-id><pub-id pub-id-type="pmid">23478104</pub-id></citation></ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>YG</given-names></name> <name><surname>Pastori</surname> <given-names>D</given-names></name> <name><surname>Farcomeni</surname> <given-names>A</given-names></name> <name><surname>Yang</surname> <given-names>PS</given-names></name> <name><surname>Jang</surname> <given-names>E</given-names></name> <name><surname>Joung</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>A simple clinical risk score (C<sub>2</sub> HEST) for predicting incident atrial fibrillation in Asian subjects: derivation in 471,446 Chinese subjects, with internal validation and external application in 451,199 Korean subjects</article-title>. <source>Chest.</source> (<year>2019</year>) <volume>155</volume>:<fpage>510</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.chest.2018.09.011</pub-id><pub-id pub-id-type="pmid">30292759</pub-id></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>YG</given-names></name> <name><surname>Bai</surname> <given-names>J</given-names></name> <name><surname>Zhou</surname> <given-names>G</given-names></name> <name><surname>Li</surname> <given-names>J</given-names></name> <name><surname>Wei</surname> <given-names>Y</given-names></name> <name><surname>Sun</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Refining age stratum of the C<sub>2</sub> HEST score for predicting incident atrial fibrillation in a hospital-based Chinese population</article-title>. <source>Eur J Intern Med</source>. (<year>2021</year>) <volume>90</volume>:<fpage>37</fpage>&#x02013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.1016/j.ejim.2021.04.014</pub-id><pub-id pub-id-type="pmid">33975769</pub-id></citation></ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kwong</surname> <given-names>C</given-names></name> <name><surname>Ling</surname> <given-names>AY</given-names></name> <name><surname>Crawford</surname> <given-names>MH</given-names></name> <name><surname>Zhao</surname> <given-names>SX</given-names></name> <name><surname>Shah</surname> <given-names>NH</given-names></name></person-group>. <article-title>A clinical score for predicting atrial fibrillation in patients with cryptogenic stroke or transient ischemic attack</article-title>. <source>Cardiology.</source> (<year>2017</year>) <volume>138</volume>:<fpage>133</fpage>&#x02013;<lpage>40</lpage>. <pub-id pub-id-type="doi">10.1159/000476030</pub-id><pub-id pub-id-type="pmid">28654919</pub-id></citation></ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ntaios</surname> <given-names>G</given-names></name> <name><surname>Perlepe</surname> <given-names>K</given-names></name></person-group>. <article-title>Lambrou D, Sirimarco G, Strambo D, Eskandari A, et al. External performance of the HAVOC score for the prediction of new incident atrial fibrillation</article-title>. <source>Stroke.</source> (<year>2020</year>) <volume>51</volume>:<fpage>457</fpage>&#x02013;<lpage>61</lpage>. <pub-id pub-id-type="doi">10.1161/STROKEAHA.119.027990</pub-id><pub-id pub-id-type="pmid">31826729</pub-id></citation></ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>WS</given-names></name> <name><surname>Lin</surname> <given-names>CL</given-names></name></person-group>. <article-title>The predictive role of CHA2DS2-VASc score between venous thromboembolism and ischemic stroke: a large-scale cohort study</article-title>. <source>J Hypertens.</source> (<year>2018</year>) <volume>36</volume>:<fpage>628</fpage>&#x02013;<lpage>33</lpage>. <pub-id pub-id-type="doi">10.1097/HJH.0000000000001539</pub-id><pub-id pub-id-type="pmid">28858980</pub-id></citation></ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Austin</surname> <given-names>V</given-names></name> <name><surname>Crack</surname> <given-names>PJ</given-names></name> <name><surname>Bozinovski</surname> <given-names>S</given-names></name> <name><surname>Miller</surname> <given-names>AA</given-names></name> <name><surname>Vlahos</surname> <given-names>R</given-names></name></person-group>. <article-title>COPD and stroke: are systemic inflammation and oxidative stress the missing links?</article-title> <source>Clin Sci (Lond).</source> (<year>2016</year>) <volume>130</volume>:<fpage>1039</fpage>&#x02013;<lpage>350</lpage>. <pub-id pub-id-type="doi">10.1042/CS20160043</pub-id><pub-id pub-id-type="pmid">27215677</pub-id></citation></ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Melgaard</surname> <given-names>L</given-names></name> <name><surname>Gorst-Rasmussen</surname> <given-names>A</given-names></name> <name><surname>Lane</surname> <given-names>DA</given-names></name> <name><surname>Rasmussen</surname> <given-names>LH</given-names></name> <name><surname>Larsen</surname> <given-names>TB</given-names></name> <name><surname>Lip</surname> <given-names>GY</given-names></name></person-group>. <article-title>Assessment of the CHA2DS2-VASc score in predicting ischemic stroke, thromboembolism, and death in patients with heart failure with and without atrial fibrillation</article-title>. <source>JAMA.</source> (<year>2015</year>) <volume>314</volume>:<fpage>1030</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2015.10725</pub-id><pub-id pub-id-type="pmid">26318604</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>YR</given-names></name> <name><surname>Hwang</surname> <given-names>IC</given-names></name> <name><surname>Lee</surname> <given-names>YJ</given-names></name> <name><surname>Ham</surname> <given-names>EB</given-names></name> <name><surname>Park</surname> <given-names>DK</given-names></name> <name><surname>Kim</surname> <given-names>S</given-names></name></person-group>. <article-title>Stroke risk among patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis</article-title>. <source>Clinics (S&#x000E3;o Paulo).</source> (<year>2018</year>) <volume>73</volume>:<fpage>e177</fpage>. <pub-id pub-id-type="doi">10.6061/clinics/2018/e177</pub-id><pub-id pub-id-type="pmid">29723340</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Doundoulakis</surname> <given-names>I</given-names></name> <name><surname>Gavriilaki</surname> <given-names>M</given-names></name> <name><surname>Tsiachris</surname> <given-names>D</given-names></name> <name><surname>Arsenos</surname> <given-names>P</given-names></name> <name><surname>Antoniou</surname> <given-names>CK</given-names></name> <name><surname>Dimou</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Atrial high-rate episodes in patients with devices without a history of atrial fibrillation: a systemic review and meta-analysis</article-title>. <source>Cardiovasc Drugs Ther</source>. (<year>2021</year>). <pub-id pub-id-type="doi">10.1007/s10557-021-07209-8.</pub-id> [Epub ahead of print].<pub-id pub-id-type="pmid">34089429</pub-id></citation></ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wolf</surname> <given-names>PA</given-names></name> <name><surname>Abbott</surname> <given-names>RD</given-names></name> <name><surname>Kannel</surname> <given-names>WB</given-names></name></person-group>. <article-title>Atrial fibrillation: a major contributor to stroke in the elderly: the Framingham Study</article-title>. <source>Arch Intern Med.</source> (<year>1987</year>) <volume>147</volume>:<fpage>1561</fpage>&#x02013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1001/archinte.147.9.1561</pub-id><pub-id pub-id-type="pmid">3632164</pub-id></citation></ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Holmstedt</surname> <given-names>CA</given-names></name> <name><surname>Turan</surname> <given-names>TN</given-names></name> <name><surname>Chimowitz</surname> <given-names>MI</given-names></name></person-group>. <article-title>Atherosclerotic intracranial arterial stenosis: risk factors, diagnosis, and treatment</article-title>. <source>Lancet Neurol.</source> (<year>2013</year>) <volume>12</volume>:<fpage>1106</fpage>&#x02013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1016/S1474-4422(13)70195-9</pub-id><pub-id pub-id-type="pmid">24135208</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Goessens</surname> <given-names>BM</given-names></name> <name><surname>Visseren</surname> <given-names>FL</given-names></name> <name><surname>Kappelle</surname> <given-names>LJ</given-names></name> <name><surname>Algra</surname> <given-names>A</given-names></name> <name><surname>van der Graaf</surname> <given-names>Y</given-names></name></person-group>. <article-title>Asymptomatic carotid artery stenosis and the risk of new vascular events in patients with manifest arterial disease: the SMART study</article-title>. <source>Stroke.</source> (<year>2007</year>) <volume>38</volume>:<fpage>1470</fpage>&#x02013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1161/STROKEAHA.106.477091</pub-id><pub-id pub-id-type="pmid">17363718</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zabalgoitia</surname> <given-names>M</given-names></name> <name><surname>Halperin</surname> <given-names>JL</given-names></name> <name><surname>Pearce</surname> <given-names>LA</given-names></name> <name><surname>Blackshear</surname> <given-names>JL</given-names></name> <name><surname>Asinger</surname> <given-names>RW</given-names></name> <name><surname>Hart</surname> <given-names>RG</given-names></name></person-group>. <article-title>Transesophageal echocardiographic correlates of clinical risk of thromboembolism in nonvalvular atrial fibrillation. Stroke prevention in atrial fibrillation III investigators</article-title>. <source>J Am Coll Cardiol.</source> (<year>1998</year>) <volume>31</volume>:<fpage>1622</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1016/S0735-1097(98)00146-6</pub-id> <pub-id pub-id-type="pmid">9626843</pub-id></citation></ref>
</ref-list>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>AF</term>
<def><p>atrial fibrillation</p></def></def-item>
<def-item><term>AHRE</term>
<def><p>atrial high-rate episodes</p></def></def-item>
<def-item><term>AMI</term>
<def><p>acute myocardial infarction</p></def></def-item>
<def-item><term>CIEDs</term>
<def><p>cardiac implantable electronic devices</p></def></def-item>
<def-item><term>COPD</term>
<def><p>chronic obstructive pulmonary disease</p></def></def-item>
<def-item><term>eGFR</term>
<def><p>estimated glomerular filtration rate</p></def></def-item>
<def-item><term>NE</term>
<def><p>neurologic events</p></def></def-item>
<def-item><term>TIA</term>
<def><p>transient ischemic attacks.</p></def></def-item>
</def-list>
</glossary> 
</back>
</article>