{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T20:23:11Z","timestamp":1784665391048,"version":"3.55.0"},"reference-count":0,"publisher":"African Journals Online (AJOL)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Afr H. Sci."],"abstract":"<jats:p>Background\/aim: Tuberculosis (TB) is one of the most common chronic infectious conditions causing mortality and se- vere outcomes, particularly in people living with HIV\/AIDS (PLWHA). In this study, we aimed to determine the prevalence and predictors of TB among PLWHA.\r\nMaterials and methods: We conducted a retrospective and single-center study of adults (\u226518 years) PLWHA registered at our tertiary teaching and research hospital between 2000 and 2016.\r\nResults: A total of 711 PLWHA were included. Of whom, 633 (89.0%) were male. Mean age was 36.53 \u00b111.55 years (range, 17-79). Thirty-eight (5.3%) patients were diagnosed with active TB. TB development was associated with low CD4+ lymphocyte count (p&lt;0.001), high viral load (p=0.040) and alcohol consumption (p=0.004) but no association with age (p=0.392), gender (p=0.928) and duration since anti-retroviral therapy initiation (p=0.788) was found. Also, a receiver operating characteristic analysis showed that the area under the curves of CD4+ lymphocyte count as a predictor for TB development in PLWHA was 0.717 (p&lt;0.001).\r\nConclusion: There are still clinical challenges to predict TB diagnosis. However, CD4+ lymphocyte count and viral load may be considered as valuable predictors for TB development. Also, community strategies to reduce harmful effect of alco- hol use should be developed.\r\nKeywords: Tuberculosis; HIV viral load; CD4 cell counts.<\/jats:p>","DOI":"10.4314\/ahs.v21i3.6","type":"journal-article","created":{"date-parts":[[2021,10,7]],"date-time":"2021-10-07T10:45:57Z","timestamp":1633603557000},"page":"995-1002","source":"Crossref","is-referenced-by-count":17,"title":["Predictors for tuberculosis co-infection in people living with HIV\/AIDS"],"prefix":"10.4314","volume":"21","author":[{"given":"Esra","family":"Zerdali","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u0130nci","family":"Y\u0131lmaz Nakir","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Serkan","family":"S\u00fcrme","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"U\u011furcan","family":"Say\u0131l\u0131","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mustafa","family":"Y\u0131ld\u0131r\u0131m","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2895","published-online":{"date-parts":[[2021,9,27]]},"container-title":["African Health Sciences"],"original-title":[],"link":[{"URL":"https:\/\/www.ajol.info\/index.php\/ahs\/article\/download\/215066\/202819","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.ajol.info\/index.php\/ahs\/article\/download\/215066\/202819","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,7]],"date-time":"2021-10-07T10:47:06Z","timestamp":1633603626000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ajol.info\/index.php\/ahs\/article\/view\/215066"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,27]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2021,9,28]]}},"URL":"https:\/\/doi.org\/10.4314\/ahs.v21i3.6","relation":{},"ISSN":["1680-6905"],"issn-type":[{"value":"1680-6905","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,27]]}}}