{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T10:39:02Z","timestamp":1791283142068,"version":"4.1.0"},"reference-count":40,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2011,3,28]],"date-time":"2011-03-28T00:00:00Z","timestamp":1301270400000},"content-version":"vor","delay-in-days":86,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of the International AIDS Society"],"published-print":{"date-parts":[[2011,1]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Non\u2010AIDS\u2010defining malignancies (NADM) are becoming a major cause of mortality in the era of highly active antiretroviral therapy. We wished to investigate the incidence, risks factors and outcome of NADM in an urban cohort.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We carried out an observational cohort of HIV patients with 12,746 patient\u2010years of follow up between January 2002 and March 2009. Socio\u2010demographics and clinical characteristics of patients diagnosed with NADM were retrospectively compared with the rest of the cohort. Causes of death and risk factors associated with NADM were assessed using logistic regression. Survival analyses were performed with Kaplan\u2010Meier estimates. Cancer incidences were compared with those of the general population of the Brussels\u2010Capital Region using the standardized incidence ratio (SIR).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Forty\u2010five NADM were diagnosed. At inclusion in the study, patients with NADM were older than patients without NADM (47 years vs. 38 years, p &lt; 0.001), had a longer history of HIV infection (59 months vs. 39 months, p = 0.0174), a lower nadir CD4 count (110 cells\/mm<jats:sup>3<\/jats:sup> vs. 224 cells\/mm<jats:sup>3<\/jats:sup>, p &lt; 0.0001) and a higher rate of previous AIDS events (33% vs. 20%, p = 0.0455) and of hepatitis C virus co\u2010infection (22.2% vs. 10%, p = 0.0149). In multivariate analysis, age over 45 at baseline (OR 3.25; 95% CI 1.70\u20106.22) and a nadir CD4 count of less than 200 cells\/mm<jats:sup>3<\/jats:sup> (OR 3.10; 95% CI 1.40\u20106.87) were associated with NADM. NADM were independently associated with higher mortality in the cohort (OR 14.79; 95% CI 6.95\u201031.49). Women with cancer, the majority of whom were of sub\u2010Saharan African origin, had poorer survival compared with men. The SIR for both sexes were higher than expected for Hodgkin's lymphoma (17.78; 95% CI 6.49\u201038.71), liver cancers (8.73; 95% CI 2.35\u201022.34), anal cancers (22.67; 95% CI 8.28\u201049.34) and bladder cancers (3.79; 95% CI 1.02\u20109.70). The SIR for breast cancer was lower in women (SIR 0.29; 95% CI 0.06\u20100.85).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Age over 45 and a nadir CD4 count of less than 200 cells\/mm<jats:sup>3<\/jats:sup> were predictive of NADM in our cohort. Mortality was high, especially in sub\u2010Saharan African women. Cancers with increased incidences were Hodgkin's lymphoma and anal, bladder and liver cancers in both sexes; women had a lower incidence of breast cancer.<\/jats:p><\/jats:sec>","DOI":"10.1186\/1758-2652-14-16","type":"journal-article","created":{"date-parts":[[2011,4,2]],"date-time":"2011-04-02T20:02:53Z","timestamp":1301774573000},"page":"16-16","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["Characteristics of non\u2010AIDS\u2010defining malignancies in the HAART era: a clinico\u2010epidemiological study"],"prefix":"10.1002","volume":"14","author":[{"given":"Nicolas","family":"Dauby","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"St\u00e9phane","family":"De Wit","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Delforge","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valentina Coca","family":"Necsoi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nathan","family":"Clumeck","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2011,3,28]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2008.16.8252"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/ije\/dyh307"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-145-6-200609190-00003"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.2217\/fon.09.28"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwm017"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.bjc.6604923"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.aids.0000238411.75324.59"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(07)61050-2"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(09)70282-7"},{"key":"e_1_2_9_11_1","unstructured":"Minist\u00e8re de la R\u00e9gion de Bruxelles\u2010Capitale\u2014Institut Bruxellois de Statistiques et d'Analyse IBSA\u2014Cellule Statistiques:Structure de la Population.Indicateurs Statistiques de la R\u00e9gion de Bruxelles\u2010CapitaleIRIS Editions;2009."},{"key":"e_1_2_9_12_1","volume-title":"Belgique\u2014RD Congo: 50 ann\u00e9es de migration. 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