1
|
Abo Y, Zannou Djimon M, Messou E, Balestre E, Kouakou M, Akakpo J, Ahouada C, de Rekeneire N, Dabis F, Lewden C, Minga A. Severe morbidity after antiretroviral (ART) initiation: active surveillance in HIV care programs, the IeDEA West Africa collaboration. BMC Infect Dis 2015; 15:176. [PMID: 25885859 PMCID: PMC4396560 DOI: 10.1186/s12879-015-0910-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Accepted: 03/18/2015] [Indexed: 11/25/2022] Open
Abstract
Background The causes of severe morbidity in health facilities implementing Antiretroviral Treatment (ART) programmes are poorly documented in sub-Saharan Africa. We aimed to describe severe morbidity among HIV-infected patients after ART initiation, based on data from an active surveillance system established within a network of specialized care facilities in West African cities. Methods Within the International epidemiological Database to Evaluate AIDS (IeDEA) - West Africa collaboration, we conducted a prospective, multicenter data collection that involved two facilities in Abidjan, Côte d’Ivoire and one in Cotonou, Benin. Among HIV-infected adults receiving ART, events were recorded using a standardized form. A simple case-definition of severe morbidity (death, hospitalization, fever > 38°5C, Karnofsky index < 70%) was used at any patient contact point. Then a physician confirmed and classified the event as WHO stage 3 or 4 according to the WHO clinical classification or as degree 3 or 4 of the ANRS scale. Results From December 2009 to December 2011, 978 adults (71% women, median age 39 years) presented with 1449 severe events. The main diagnoses were: non-AIDS-defining infections (33%), AIDS-defining illnesses (33%), suspected adverse drug reactions (7%), other illnesses (4%) and syndromic diagnoses (16%). The most common specific diagnoses were: malaria (25%), pneumonia (13%) and tuberculosis (8%). The diagnoses were reported as syndromic in one out of five events recorded during this study. Conclusions This study highlights the ongoing importance of conventional infectious diseases among severe morbid events occurring in patients on ART in ambulatory HIV care facilities in West Africa. Meanwhile, additional studies are needed due to the undiagnosed aspect of severe morbidity in substantial proportion. Electronic supplementary material The online version of this article (doi:10.1186/s12879-015-0910-3) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Yao Abo
- Programme PAC-CI, Centre Hospitalier Universitaire (CHU) de Treichville, 18 BP 1954, Abidjan 18, Côte d'Ivoire. .,Centre Médical de Suivi des Donneurs de Sang (CMSDS), Centre National de Transfusion Sanguine, Abidjan, Côte d'Ivoire.
| | - Marcel Zannou Djimon
- Centre de Traitement Ambulatoire (CTA), Centre National Hospitalier Universitaire (CNHU), Cotonou, Benin. .,Université d'Abomey-Calavi, Cotonou, Bénin.
| | - Eugène Messou
- University Bordeaux, ISPED, Bordeaux, France. .,Centre de Prise en charge de Recherche et de Formation (Aconda-CePReF), Abidjan, Côte d'Ivoire.
| | - Eric Balestre
- INSERM, Centre INSERM U897-Epidémiologie-Biostatistique, Bordeaux, France. .,University Bordeaux, ISPED, Bordeaux, France.
| | - Martial Kouakou
- Centre de Prise en charge de Recherche et de Formation (Aconda-CePReF), Abidjan, Côte d'Ivoire.
| | - Jocelyn Akakpo
- Centre de Traitement Ambulatoire (CTA), Centre National Hospitalier Universitaire (CNHU), Cotonou, Benin.
| | - Carin Ahouada
- Centre de Traitement Ambulatoire (CTA), Centre National Hospitalier Universitaire (CNHU), Cotonou, Benin.
| | - Nathalie de Rekeneire
- INSERM, Centre INSERM U897-Epidémiologie-Biostatistique, Bordeaux, France. .,University Bordeaux, ISPED, Bordeaux, France.
| | - François Dabis
- INSERM, Centre INSERM U897-Epidémiologie-Biostatistique, Bordeaux, France. .,University Bordeaux, ISPED, Bordeaux, France.
| | - Charlotte Lewden
- INSERM, Centre INSERM U897-Epidémiologie-Biostatistique, Bordeaux, France. .,University Bordeaux, ISPED, Bordeaux, France.
| | - Albert Minga
- Programme PAC-CI, Centre Hospitalier Universitaire (CHU) de Treichville, 18 BP 1954, Abidjan 18, Côte d'Ivoire. .,Centre Médical de Suivi des Donneurs de Sang (CMSDS), Centre National de Transfusion Sanguine, Abidjan, Côte d'Ivoire.
| | | |
Collapse
|
2
|
The pattern of attrition from an antiretroviral treatment program in Nigeria. PLoS One 2012; 7:e51254. [PMID: 23272094 PMCID: PMC3521762 DOI: 10.1371/journal.pone.0051254] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2012] [Accepted: 10/30/2012] [Indexed: 11/19/2022] Open
Abstract
Objective To evaluate the rate and factors associated with attrition of patients receiving ART in tertiary and secondary hospitals in Nigeria. Methods and Findings We reviewed patient level data collected between 2007 and 2010 from 11 hospitals across Nigeria. Kaplan-Meier product-limit and Cox regression were used to determine probability of retention in care and risk factors for attrition respectively. Of 6,408 patients in the cohort, 3,839 (59.9%) were females, median age of study population was 33years (IQR: 27–40) and 4,415 (69%) were from secondary health facilities. The NRTI backbone was Stavudine (D4T) in 3708 (57.9%) and Zidovudine (ZDV) in 2613 (40.8%) of patients. Patients lost to follow up accounted for 62.7% of all attrition followed by treatment stops (25.3%) and deaths (12.0%). Attrition was 14.1 (N = 624) and 15.1% (N = 300) in secondary and tertiary hospitals respectively (p = 0.169) in the first 12 months on follow up. During the 13 to 24 months follow up period, attrition was 10.7% (N = 407) and 19.6% (N = 332) in secondary and tertiary facilities respectively (p<0.001). Median time to lost to follow up was 11.1 (IQR: 6.1 to 18.5) months in secondary compared with 13.6 (IQR: 9.9 to 17.0) months in tertiary sites (p = 0.002). At 24 months follow up, male gender [AHR 1.18, 95% CI: 1.01–1.37, P = 0.038]; WHO clinical stage III [AHR 1.30, 95%CI: 1.03–1.66, P = 0.03] and clinical stage IV [AHR 1.90, 95%CI: 1.20–3.02, p = 0.007] and care in a tertiary hospital [AHR 2.21, 95% CI: 1.83–2.67, p<0.001], were associated with attrition. Conclusion Attrition could potentially be reduced by decentralizing patients on ART after the first 12 months on therapy to lower level facilities, earlier initiation on treatment and strengthening adherence counseling amongst males.
Collapse
|