{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T18:56:58Z","timestamp":1792177018761,"version":"4.4.0"},"reference-count":32,"publisher":"American Medical Association (AMA)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"\n Importance<\/jats:title>\n Depression is associated with increased risk of primary and secondary cardiovascular events. Medication adherence may play an essential role.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n To evaluate the association of depression and 12-month adherence to guideline-directed medical therapies (eg, antiplatelet agents, \u03b2-blockers, renin-angiotensin-aldosterone system inhibitors [ie, angiotensin-converting enzyme inhibitors and angiotensin receptor blockers], and statins) following percutaneous coronary intervention.<\/jats:p>\n <\/jats:sec>\n \n Design, Setting, and Participants<\/jats:title>\n This retrospective cohort study included individuals who underwent percutaneous coronary intervention from January 1, 2014, to December 31, 2019. Data were collected from a large US health claims database and analyzed between February and August 2022.<\/jats:p>\n <\/jats:sec>\n \n Main Outcomes and Measures<\/jats:title>\n Proportion of days covered (PDC) for classes of guideline-directed medical therapies, with 12-month adherence categorized as adequate (PDC \u226580% to &amp;lt;90%) or optimal (PDC \u226590%). Multivariable-adjusted regression models were used to evaluate the association of depression with adherence; models incorporated demographic characteristics, comorbid medical and psychiatric conditions, depression treatment, and guideline-directed medical therapy treatment adjustment. The hypothesis was that those with depression would have lower odds of either adequate or optimal adherence to agents essential for guideline-directed medical therapy.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Of 124\u202f443 individuals (mean [SD] age, 69.3 [10.6] years; 41\u202f430 [33.3%] female sex; 3694 [3.0%] Asian, 12\u202f611 [10.1%] Black, and 12\u202f337 [9.9%] Hispanic individuals) who received percutaneous coronary interventions, 20\u202f711 (16.6%) had a diagnosis of depression. Those with depression were significantly less likely to obtain adequate 12-month adherence to antiplatelets (odds ratio [OR], 0.80; 95% CI, 0.77-0.85), \u03b2-blockers (OR, 0.84; 95% CI, 0.80-0.88), and statins (OR, 0.88; 95% CI, 0.85-0.93) than those without depression; there was no association between depression and adherence to renin-angiotensin-aldosterone system inhibitors (OR, 0.93; 95% CI, 0.85-1.00). Those with depression had similarly decreased likelihood of optimal 12-month adherence to antiplatelets, \u03b2-blockers, and statins as well as renin-angiotensin-aldosterone system inhibitors (OR, 0.87; 95% CI, 0.82-0.94).<\/jats:p>\n <\/jats:sec>\n \n Conclusions and Relevance<\/jats:title>\n In this cohort study, patients with depression were less likely to achieve adequate or optimal adherence to medications essential to guideline-directed medical therapies following percutaneous coronary intervention compared with those without depression. Recognition of depression may facilitate targeted interventions to address medication adherence and thereby improve secondary cardiovascular disease prevention.<\/jats:p>\n <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2022.46317","type":"journal-article","created":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T11:00:44Z","timestamp":1670842844000},"page":"e2246317","source":"Crossref","is-referenced-by-count":35,"title":["Assessment of Depression and Adherence to Guideline-Directed Medical Therapies Following Percutaneous Coronary Intervention"],"prefix":"10.1001","volume":"5","author":[{"given":"Matthew E.","family":"Lapa","sequence":"first","affiliation":[{"name":"University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gretchen M.","family":"Swabe","sequence":"additional","affiliation":[{"name":"University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruce L.","family":"Rollman","sequence":"additional","affiliation":[{"name":"Center for Behavioral Health and Smart Technology, Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew F.","family":"Muldoon","sequence":"additional","affiliation":[{"name":"University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rebecca C.","family":"Thurston","sequence":"additional","affiliation":[{"name":"University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania"},{"name":"Department of Epidemiology, Graduate School of Public Health University of Pittsburgh, Pittsburgh, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jared 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