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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">0207277</journal-id><journal-id journal-id-type="pubmed-jr-id">408</journal-id><journal-id journal-id-type="nlm-ta">Am J Cardiol</journal-id><journal-id journal-id-type="iso-abbrev">Am J Cardiol</journal-id><journal-title-group><journal-title>The American journal of cardiology</journal-title></journal-title-group><issn pub-type="ppub">0002-9149</issn><issn pub-type="epub">1879-1913</issn></journal-meta><article-meta><article-id pub-id-type="pmid">37517129</article-id><article-id pub-id-type="pmc">10900131</article-id><article-id pub-id-type="doi">10.1016/j.amjcard.2023.07.037</article-id><article-id pub-id-type="manuscript">HHSPA1965827</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Trends in the Longitudinal Utilization of Oral Anticoagulants Among Newly Diagnosed Atrial Fibrillation Patients With Commercial, Medicare, and Medicaid Insurance</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Jun Soo</given-names></name><degrees>PhD</degrees><xref rid="A1" ref-type="aff">a</xref><xref rid="CR1" ref-type="corresp">*</xref></contrib><contrib contrib-type="author"><name><surname>Han</surname><given-names>Sola</given-names></name><degrees>PharmD PhD</degrees><xref rid="A2" ref-type="aff">b</xref></contrib><contrib contrib-type="author"><name><surname>Therrien</surname><given-names>Nicole L.</given-names></name><degrees>PharmD, MPH</degrees><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Park</surname><given-names>Chanhyun</given-names></name><degrees>PhD</degrees><xref rid="A2" ref-type="aff">b</xref></contrib><contrib contrib-type="author"><name><surname>Luo</surname><given-names>Feijun</given-names></name><degrees>PhD</degrees><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Essien</surname><given-names>Utibe R.</given-names></name><degrees>MD, MPH</degrees><xref rid="A3" ref-type="aff">c</xref><xref rid="A4" ref-type="aff">d</xref></contrib></contrib-group><aff id="A1"><label>a</label>Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia</aff><aff id="A2"><label>b</label>Health Outcomes Division, The University of Texas at Austin College of Pharmacy, Austin, Texas</aff><aff id="A3"><label>c</label>Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles, California</aff><aff id="A4"><label>d</label>Center for the Study of Healthcare Innovation, Implementation &#x00026; Policy, Greater Los Angeles VA Healthcare System, Los Angeles, California</aff><author-notes><fn fn-type="equal" id="FN1"><p id="P1">Jun Soo Lee and Sola Han are joint 1st authors with equal contributions.</p></fn><corresp id="CR1"><label>*</label>Corresponding author: Tel: +1 770-488-8978. <email>PQA2@cdc.gov</email> (J.S. Lee).</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>16</day><month>2</month><year>2024</year></pub-date><pub-date pub-type="ppub"><day>15</day><month>9</month><year>2023</year></pub-date><pub-date pub-type="epub"><day>28</day><month>7</month><year>2023</year></pub-date><pub-date pub-type="pmc-release"><day>15</day><month>9</month><year>2024</year></pub-date><volume>203</volume><fpage>339</fpage><lpage>342</lpage></article-meta></front><body><p id="P2">Long-term oral anticoagulation (OAC) is recommended for stroke prevention for most patients with atrial fibrillation (AF) and elevated stroke risk.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> While trends in initiation of OAC have been described,<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R3" ref-type="bibr">3</xref></sup> long-term trends in utilization of OAC in patients continuously followed for AF have not been adequately explored. Some healthcare systems adapted anticoagulation services to respond to disruptions during the COVID-19 pandemic.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> We thus investigated how OACs were utilized in patients with newly diagnosed AF from 2018 to 2021 across 3 insurance types: Medicare, Medicaid, and commercial.</p><sec id="S1"><title>Methods</title><p id="P3">All data were deidentified and the study was exempt from review by the Institutional Review Board of the Centers for Disease Control and Prevention.</p><p id="P4">Data were extracted from the Merative MarketScan Commercial Claims and Encounters, Medicare Supplement, and Medicaid databases from January 1, 2018 to June 30, 2021.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> Patients with a new diagnosis of AF from January 1, 2014, to December 31, 2017 (i.e., patient selection period), in the databases were selected. International Classification of Diseases, Ninth Revision, Clinical Modification of 427.3 (from January 2014 to September 30, 2015) and International Classification of Diseases, Tenth Revision, Clinical Modification of I48 (from October 1, 2015, to December 31, 2017) were used to identify AF diagnosis. Patients were identified as AF if there were at least one inpatient or emergency department visits or 2 outpatient visits at least 7 to 365 days apart from January 1, 2014, to December 31, 2017. We restricted patients to those continuously enrolled beginning 180 days before the date of first AF diagnosis to June 30, 2021. More details of the sample selection process and the corresponding diagnosis codes can be found in the <xref rid="SD1" ref-type="supplementary-material">supplementary materials</xref> and <xref rid="SD1" ref-type="supplementary-material">Appendix Table 1</xref>.</p><p id="P5">The differences in the proportions of patients with AF treated with each of the 5 FDA approved OACs (apixaban, dabigatran, edoxaban, rivaroxaban, or warfarin), and any OAC from January 2018 to June 2021 (December 2020 for patients in Medicaid) were tested using Welch&#x02019;s 2-tail <italic toggle="yes">t</italic> test by insurance types. Summary statistics are provided of the medical costs and utilization of services and Charlson co-morbidity scores of AF patients with and without OAC prescription in 2019, the most recent year before the COVID-19 pandemic (the results are similar in other years and available upon request to the corresponding author). A p &#x0003c;0.05 indicates statistical significance. All analyses were conducted using Stata MP statistical software version 14.2 (StataCorp, College Station, Texas) in 2022 to 2023.</p></sec><sec id="S2"><title>Results</title><p id="P6">A total of 15,974 AF patients with commercial insurance (11,193 patients; 12% OAC users in January 2018), Medicare (1488 patients; 20% OAC users in January 2018), and Medicaid (3,293 patients; 15% OAC users in January 2018) were included and followed (<xref rid="T1" ref-type="table">Table 1</xref>). Compared to non-OAC users, OAC users had higher medical costs, healthcare utilization, and Charlson Comorbidity Index scores for all insurance types (<xref rid="T1" ref-type="table">Table 1</xref>). From January 2018 to June 2021, utilization of any OAC increased significantly (29.6% among commercially ensured, 48.8% for those in Medicare, and 31.5% for Medicaid enrollees). Apixaban use had the highest percentage increase (42.9% for commercial insurance, 66.5% for Medicare, 63.2% for Medicaid). At the end of follow-up period in 2021, the OAC utilization rates by insurance types ranged between 16% and 29% (<xref rid="F1" ref-type="fig">Figure 1</xref>).</p></sec><sec id="S3"><title>Discussion</title><p id="P7">This study estimates long-term OAC utilization in patients with incident AF by 3 insurance types. OAC use increased in all insurance types, with the highest overall increase among Medicare beneficiaries. Among OACs, the highest increase occurred in apixaban use, which is consistent with previous trends during 2010 to 2017.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> Despite the significant increase in OAC use, utilization remained low. The drivers for the persistent underuse or delay in initiation require further research.</p><p id="P8">Our observed increases in apixaban use and decreases in warfarin and dabigatran use are consistent with several other previous studies in the United States.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R6" ref-type="bibr">6</xref></sup> These trends may be attributed to the American College of Cardiology and American Heart Association guideline recommendation of a direct OAC use over warfarin.<sup><xref rid="R1" ref-type="bibr">1</xref></sup></p><p id="P9">Limitations of this study include it is a descriptive study and the restriction to patients who were continuously covered by the same insurance during 2018 to 2021. This restriction also resulted in the exclusion of some groups of patients (e.g., uninsured and with capitated insurance plans).</p><p id="P10">Given the high burden of stroke in the United States and the strong evidence for OAC use in patients with AF and elevated stroke risk, patient, clinician, and health system interventions are needed to improve prescribing of and adherence to OACs.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Appendix</label><media xlink:href="NIHMS1965827-supplement-Appendix.pdf" id="d66e211" position="anchor"/></supplementary-material></sec></body><back><ack id="S4"><title>Acknowledgment</title><p id="P11">The authors are genuinely grateful to Michael Schooley, MPH, Kakoli Roy, PhD, Fatima Coronado, MD, MPH, and Adam Vaughan, PhD, MPH, MS (Centers for Disease Control and Prevention) for their guidance, suggestions, and article review.</p></ack><fn-group><fn fn-type="COI-statement" id="FN3"><p id="P12">Declaration of Competing Interest</p><p id="P13">The authors have no conflicts of interest to declare.</p></fn><fn id="FN4"><p id="P14">Supplementary materials</p><p id="P15"><xref rid="SD1" ref-type="supplementary-material">Supplementary material</xref> associated with this article can be found in the online version at <ext-link xlink:href="https://doi.org/10.1016/j.amjcard.2023.07.037" ext-link-type="uri">https://doi.org/10.1016/j.amjcard.2023.07.037</ext-link>.</p></fn></fn-group><ref-list><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><name><surname>January</surname><given-names>CT</given-names></name>, <name><surname>Wann</surname><given-names>LS</given-names></name>, <name><surname>Calkins</surname><given-names>H</given-names></name>, <name><surname>Chen</surname><given-names>LY</given-names></name>, <name><surname>Cigarroa</surname><given-names>JE</given-names></name>, <name><surname>Cleveland</surname><given-names>JC</given-names></name>, <name><surname>Ellinor</surname><given-names>PT</given-names></name>, <name><surname>Ezekowitz</surname><given-names>MD</given-names></name>, <name><surname>Field</surname><given-names>ME</given-names></name>, <name><surname>Furie</surname><given-names>KL</given-names></name>, <name><surname>Heidenreich</surname><given-names>PA</given-names></name>, <name><surname>Murray</surname><given-names>KT</given-names></name>, <name><surname>Shea</surname><given-names>JB</given-names></name>, <name><surname>Tracy</surname><given-names>CM</given-names></name>, <name><surname>Yancy</surname><given-names>CW</given-names></name>. <article-title>2019 AHA/ACC/HRS focused update of the 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society</article-title>. <source>J Am Coll Cardiol</source>
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</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Figure 1.</label><caption><p id="P16">The percentage changes of the proportion of patients treated with oral anticoagulants among patients with atrial fibrillation, by insurance type, January 2018 to June 2021.</p><p id="P17">*p &#x0003c;0.05.</p><p id="P18">**p &#x0003c;0.01.</p><p id="P19">***p &#x0003c;0.001.</p><p id="P20">Note: On the <italic toggle="yes">y</italic> axis, we report the percentage change from the beginning to the ending periods. For all 3 insurances, the beginning date is January 2018. For Commercial and Medicare Supplement, the ending period is June 2021. For Medicaid, the ending period is December 2020. Patients in MarketScan Commercial and Medicare Supplement/Advantage continuously enrolled in MarketScan Commercial Claims and Encounters Database from January 1, 2018, to June 30, 2021. Patients in Medicaid database continuously enrolled in MarketScan Multi-States Medicaid Database from January 1, 2018, to December 31, 2020. There are 11,193, 1,488, and 3,293 patients with established hypertension for commercial insurance, Medicare Supplement/Advantage, and Medicaid, respectively, used for the analysis. Patients with AF were defined if inpatient or emergency department encounters contained at least one diagnosis of AF (ICD-10-CM I48) or at least 2 outpatient encounters contained the diagnosis of AF with at least 30-day intervals during the 4 years of lookback periods from January 1, 2014, to December 31, 2017. ICD-10-CM = International Classification of Diseases, Tenth Revision, Clinical Modification.</p></caption><graphic xlink:href="nihms-1965827-f0001" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>Table 1</label><caption><p id="P21">Summary Statistics among Patients with atrial fibrillation by the prescription status of oral anticoagulant treatment in 2019 by insurance type</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="3" align="center" valign="top" rowspan="1">Commercial<hr/></th><th colspan="3" align="center" valign="top" rowspan="1">Medicare Supplement<hr/></th><th colspan="3" align="center" valign="top" rowspan="1">Medicaid<hr/></th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1">OAC in 2019 = No<break/>N=8,330 (74.4%)</th><th align="center" valign="top" rowspan="1" colspan="1">OAC in 2019 = Yes<break/>N=2,863 (25.6%)</th><th align="center" valign="top" rowspan="1" colspan="1">p-value</th><th align="center" valign="top" rowspan="1" colspan="1">OAC in 2019 = No<break/>N=814 (54.7%)</th><th align="center" valign="top" rowspan="1" colspan="1">OAC in 2019 = Yes<break/>N=674 (45.3%)</th><th align="center" valign="top" rowspan="1" colspan="1">p-value</th><th align="center" valign="top" rowspan="1" colspan="1">OAC in 2019 = No<break/>N=2,403 (73.0%)</th><th align="center" valign="top" rowspan="1" colspan="1">OAC in 2019 = Yes<break/>N=890 (27.0%)</th><th align="center" valign="top" rowspan="1" colspan="1">p-value</th></tr></thead><tbody><tr><td colspan="10" align="left" valign="top" rowspan="1">
<bold>Medical costs and utilization of services in 2019, Mean (SD)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total Medical Payments</td><td align="center" valign="top" rowspan="1" colspan="1">$15,595.6 (43546.1)</td><td align="center" valign="top" rowspan="1" colspan="1">$36,087.5 (70680.3)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">$16,291.7 (28725.5)</td><td align="center" valign="top" rowspan="1" colspan="1">$24,437.7 (26777.5)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">$33,108.1 (45943.8)</td><td align="center" valign="top" rowspan="1" colspan="1">$46,658.4 (53697.2)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total Inpatient Payments</td><td align="center" valign="top" rowspan="1" colspan="1">$3,000.1 (21873.3)</td><td align="center" valign="top" rowspan="1" colspan="1">$9,990.2 (43240.3)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">$3,678.9 (11620.7)</td><td align="center" valign="top" rowspan="1" colspan="1">$4,967.7 (11953.8)</td><td align="center" valign="top" rowspan="1" colspan="1">0.036</td><td align="center" valign="top" rowspan="1" colspan="1">$6,497.8 (18571.3)</td><td align="center" valign="top" rowspan="1" colspan="1">$14,198.3 (39158.4)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total ED Payments</td><td align="center" valign="top" rowspan="1" colspan="1">$966.7 (3807.6)</td><td align="center" valign="top" rowspan="1" colspan="1">$1,425.8 (3681.3)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">$546.5 (1492.2)</td><td align="center" valign="top" rowspan="1" colspan="1">$792.8 (1996.9)</td><td align="center" valign="top" rowspan="1" colspan="1">0.007</td><td align="center" valign="top" rowspan="1" colspan="1">$1,908.3 (4921.1)</td><td align="center" valign="top" rowspan="1" colspan="1">$2,239.5 (5741.4)</td><td align="center" valign="top" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total Outpatient Payments</td><td align="center" valign="top" rowspan="1" colspan="1">$7,339.8 (26791.2)</td><td align="center" valign="top" rowspan="1" colspan="1">$15,786.1 (41504.5)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">$8,334.6 (19269.7)</td><td align="center" valign="top" rowspan="1" colspan="1">$10,399.1 (16275.9)</td><td align="center" valign="top" rowspan="1" colspan="1">0.028</td><td align="center" valign="top" rowspan="1" colspan="1">$15,488.9 (30548.1)</td><td align="center" valign="top" rowspan="1" colspan="1">$16,918.0 (25463.4)</td><td align="center" valign="top" rowspan="1" colspan="1">0.21</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total Pharmacy Payments</td><td align="center" valign="top" rowspan="1" colspan="1">$3,830.1 (13806.7)</td><td align="center" valign="top" rowspan="1" colspan="1">$8,231.1 (13776.8)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">$3,570.6 (10641.5)</td><td align="center" valign="top" rowspan="1" colspan="1">$8,107.6 (9705.3)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">$8,563.8 (19381.4)</td><td align="center" valign="top" rowspan="1" colspan="1">$12,660.2 (18516.0)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Number of Inpatient Encounters</td><td align="center" valign="top" rowspan="1" colspan="1">0.1 (0.5)</td><td align="center" valign="top" rowspan="1" colspan="1">0.3 (0.7)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">0.2 (0.6)</td><td align="center" valign="top" rowspan="1" colspan="1">0.3 (0.6)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">0.8 (2.0)</td><td align="center" valign="top" rowspan="1" colspan="1">1.3 (2.1)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Number of ED Encounters</td><td align="center" valign="top" rowspan="1" colspan="1">0.4 (1.2)</td><td align="center" valign="top" rowspan="1" colspan="1">0.6 (1.3)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">0.7 (1.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (2.0)</td><td align="center" valign="top" rowspan="1" colspan="1">0.001</td><td align="center" valign="top" rowspan="1" colspan="1">2.7 (6.2)</td><td align="center" valign="top" rowspan="1" colspan="1">2.8 (5.7)</td><td align="center" valign="top" rowspan="1" colspan="1">0.73</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Number of Outpatient Encounters</td><td align="center" valign="top" rowspan="1" colspan="1">14.9 (19.4)</td><td align="center" valign="top" rowspan="1" colspan="1">21.0 (20.5)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">26.2 (29.7)</td><td align="center" valign="top" rowspan="1" colspan="1">31.7 (33.1)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">72.5 (106.0)</td><td align="center" valign="top" rowspan="1" colspan="1">82.5 (105.0)</td><td align="center" valign="top" rowspan="1" colspan="1">0.015</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Number of Pharmacy Encounters</td><td align="center" valign="top" rowspan="1" colspan="1">23.9 (24.9)</td><td align="center" valign="top" rowspan="1" colspan="1">41.5 (28.6)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">31.8 (29.5)</td><td align="center" valign="top" rowspan="1" colspan="1">45.2 (26.8)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">83.7 (85.1)</td><td align="center" valign="top" rowspan="1" colspan="1">120.7 (88.0)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td colspan="10" align="left" valign="top" rowspan="1">
<bold>Charlson Comorbidity Index (CCI) scores in 2019, N (%)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Charlson Comorbidity Index Score=0, N (%)</td><td align="center" valign="top" rowspan="1" colspan="1">4,736 (56.85%)</td><td align="center" valign="top" rowspan="1" colspan="1">945 (33.01%)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">245 (30.10%)</td><td align="center" valign="top" rowspan="1" colspan="1">132 (19.58%)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">608 (25.30%)</td><td align="center" valign="top" rowspan="1" colspan="1">73 (8.20%)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Charlson Comorbidity Index Score=1, N (%)</td><td align="center" valign="top" rowspan="1" colspan="1">1,712 (20.55%)</td><td align="center" valign="top" rowspan="1" colspan="1">785 (27.42%)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">138 (16.95%)</td><td align="center" valign="top" rowspan="1" colspan="1">142 (21.07%)</td><td align="center" valign="top" rowspan="1" colspan="1">0.043</td><td align="center" valign="top" rowspan="1" colspan="1">413 (17.19%)</td><td align="center" valign="top" rowspan="1" colspan="1">105 (11.80%)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Charlson Comorbidity Index Score=2, N (%)</td><td align="center" valign="top" rowspan="1" colspan="1">794 (9.53%)</td><td align="center" valign="top" rowspan="1" colspan="1">414 (14.46%)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">119 (14.62%)</td><td align="center" valign="top" rowspan="1" colspan="1">119 (17.66%)</td><td align="center" valign="top" rowspan="1" colspan="1">0.11</td><td align="center" valign="top" rowspan="1" colspan="1">356 (14.81%)</td><td align="center" valign="top" rowspan="1" colspan="1">130 (14.61%)</td><td align="center" valign="top" rowspan="1" colspan="1">0.88</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Charlson Comorbidity Index Score&#x0003e;=3, N (%)</td><td align="center" valign="top" rowspan="1" colspan="1">1,088 (13.06%)</td><td align="center" valign="top" rowspan="1" colspan="1">719 (25.11%)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">312 (38.33%)</td><td align="center" valign="top" rowspan="1" colspan="1">281 (41.69%)</td><td align="center" valign="top" rowspan="1" colspan="1">0.19</td><td align="center" valign="top" rowspan="1" colspan="1">1,026 (42.70%)</td><td align="center" valign="top" rowspan="1" colspan="1">582 (65.39%)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Charlson Comorbidity Index Score, Mean (SD)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (1.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1.7 (2.1)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td><td align="center" valign="top" rowspan="1" colspan="1">2.4 (2.6)</td><td align="center" valign="top" rowspan="1" colspan="1">2.6 (2.3)</td><td align="center" valign="top" rowspan="1" colspan="1">0.1</td><td align="center" valign="top" rowspan="1" colspan="1">2.8 (2.8)</td><td align="center" valign="top" rowspan="1" colspan="1">4.1 (2.9)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P22">The p-values represent the test results of the differences in means and proportions. We used the Wilcoxon non-parametric rank-sum test for continuous variables and Pearson&#x02019;s chi-squared test CCI categorical variables. Total medical payments are the average of payments in 2019. Total inpatient, ED, outpatient, and pharmacy payments are the average of the total inpatient, ED, outpatient, and pharmacy payments in 2019. The number of inpatients, ED, outpatient, and pharmacy visits are the average numbers of inpatient, ED, outpatient, and pharmacy visits in 2019.</p></fn></table-wrap-foot></table-wrap></floats-group></article>