{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:17:03Z","timestamp":1785338223154,"version":"3.55.0"},"reference-count":40,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2020,12,8]],"date-time":"2020-12-08T00:00:00Z","timestamp":1607385600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100007299","name":"Harvard Catalyst","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007299","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000097","name":"National Center for Research Resources","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000097","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007229","name":"Harvard University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007229","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["K23HL136262 R01AG062393 R01HL132786"],"award-info":[{"award-number":["K23HL136262 R01AG062393 R01HL132786"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["HIV Medicine"],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:sec><jats:title>Objectives<\/jats:title><jats:p>Cardiovascular risk is increased in people living with HIV (PLWH). In HIV\u2010uninfected populations, total absolute monocyte count (AMC) has been shown to be predictive of future cardiovascular events (CVEs). We sought to determine whether AMC predicts CVEs in PLWH independent of established and HIV\u2010related cardiovascular risk factors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We identified all PLWH within the Partners HIV Cohort without factors that could confound the monocyte count. CVE was defined as fatal or non\u2010fatal acute myocardial infarction or ischaemic stroke. Baseline\u2010measured AMC was defined as the average of all outpatient AMC counts a year before and after the baseline date. Multivariable Cox proportional hazards models were used to assess the association of baseline AMC with CVEs.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Our cohort consisted of 1980 patients, with median follow\u2010up of 10.9\u00a0years and 182 CVEs. Mean (\u00b1\u00a0SD) age was 41.9\u00a0\u00b1\u00a09.3 years; 73.0% were male. Mean CD4 count was 506.3\u00a0\u00b1\u00a0307.1\u00a0cells\/\u00b5L, 48% had HIV viral load (VL) &lt;\u00a0400 copies\/mL, and 87% were on antiretroviral therapy. Mean AMC was 0.38\u00a0\u00d7\u00a010<jats:sup>3<\/jats:sup>\u00a0\u00b1\u00a00.13 cells\/\u00b5L. In multivariable modelling adjusted for traditional CV risk factors, CD4 cell count, and HIV VL, AMC quartile 2 (Q2) (HR = 1.01, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.98), Q3 (HR = 1.07, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.76), and Q4 (HR = 0.97, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.89) were not significantly predictive of CVE compared with Q1.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>Baseline AMC was not associated with long\u2010term CVEs in PLWH. AMC obtained in routine clinical encounters does not appear to enhance CV risk stratification in PLWH.<\/jats:p><\/jats:sec>","DOI":"10.1111\/hiv.13018","type":"journal-article","created":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T04:45:24Z","timestamp":1607575524000},"page":"314-320","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Utilization of absolute monocyte counts to predict cardiovascular events in people living with HIV"],"prefix":"10.1111","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6809-0984","authenticated-orcid":false,"given":"M","family":"Bogorodskaya","sequence":"first","affiliation":[{"name":"Division of Infectious Diseases Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA"},{"name":"Case Western Reserve University School of Medicine Cleveland OH USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A","family":"Lyass","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics Boston University Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"TF","family":"Mahoney","sequence":"additional","affiliation":[{"name":"Department of Biostatistics Boston University School of Public Health Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"LH","family":"Borowsky","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine Massachusetts General Hospital Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P","family":"Sen","sequence":"additional","affiliation":[{"name":"Division of Infectious Diseases Massachusetts General Hospital Harvard Medical School Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"FK","family":"Swirski","sequence":"additional","affiliation":[{"name":"Center for Systems Biology Massachusetts General Hospital Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1950-4770","authenticated-orcid":false,"given":"S","family":"Srinivasa","sequence":"additional","affiliation":[{"name":"Program in Nutritional Metabolism Massachusetts General Hospital Harvard Medical School Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"CT","family":"Longenecker","sequence":"additional","affiliation":[{"name":"Case Western Reserve University School of Medicine Cleveland OH USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"JM","family":"Massaro","sequence":"additional","affiliation":[{"name":"Department of Biostatistics Boston University School of Public Health Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Sr.","given":"RB","family":"D\u2019Agostino","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics Boston University Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"VA","family":"Triant","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine Massachusetts General Hospital Boston MA USA"},{"name":"Division of Infectious Diseases Massachusetts General Hospital Harvard Medical School Boston MA USA"},{"name":"Mongan Institute Massachusetts General Hospital Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,12,8]]},"reference":[{"key":"e_1_2_7_2_1","unstructured":"Centers for Disease Control and Prevention.Death rates among persons aged 25\u201344 and 45\u201364 by leading causes of death: United States 2006\u20132016.2017. 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