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Cohort profile: the Nigerian HIV geriatric cohort study

BACKGROUND: The Nigerian HIV Geriatric Cohort (NHGC) is a longitudinal cohort setup to learn how elderly people living with HIV (EPLHIV) in Nigeria fare, despite not being prioritized by the national treatment program, and to deepen knowledge for their differentiated care and achieve better outcomes...

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Detalles Bibliográficos
Autores principales: Dakum, Patrick, Avong, Yohanna Kambai, Odutola, Michael Kolawole, Okuma, James, Kayode, Gbenga Ayodele, Nta, Iboro Ekpo, Ndembi, Nicaise, Mensah, Charles, Khamofu, Hadiza, Okonkwo, Prosper, Okpanachi, John Oko, Ezeanolue, Echezona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690164/
https://www.ncbi.nlm.nih.gov/pubmed/33243227
http://dx.doi.org/10.1186/s12889-020-09833-9
Descripción
Sumario:BACKGROUND: The Nigerian HIV Geriatric Cohort (NHGC) is a longitudinal cohort setup to learn how elderly people living with HIV (EPLHIV) in Nigeria fare, despite not being prioritized by the national treatment program, and to deepen knowledge for their differentiated care and achieve better outcomes. In this paper, we describe data collected on sociodemographic and clinical data from EPLHIV from the inception of Nigeria’s national HIV program to 2018. METHODS: Patient-level data spanning the period 2004 to 2018, obtained from comprehensive HIV treatment hospitals, that are supported by four major PEPFAR-implementing partners in Nigeria were used. These 4 entities collaborated as member organizations of the Nigeria Implementation Science Alliance. We defined elderly as those aged 50 years and above. From deidentified treatment records, demographic and clinical data of EPLHIV ≥50-year-old at ART initiation during the review period was extracted, merged into a single REDcap® database, and described using STATA 13. RESULTS: A total of 101,652 EPLHIV were analysed. Women accounted for 53,608 (53%), 51,037 (71%) of EPLHIV identified as married and 33,446 (51%) unemployed. Median age was 57.1 years (IQR 52–60 years) with a median duration on ART treatment of 4.1 years (IQR 1.7–7.1 years). ART profile showed that 97,586 (96%) were on 1st-line and 66,125 (65%) were on TDF-based regimens. Median body mass index (BMI) was 22.2 kg/m(2) (IQR 19.5–25.4 kg/m(2)) with 43,012 (55%), 15,081 (19%) and 6803 (9%) showing normal (BMI 18.5 – < 25 kg/m(2)), overweight (BMI 25 - < 30 kg/m(2)) and obese (BMI ≥30 kg/m(2)) ranges respectively. Prevalence of hypertension (systolic-BP > 140 mmHg or diastolic-BP > 90 mmHg) was 16,201 (21%). EPLHIV median CD4 count was 381 cells/μL (IQR 212–577 cells/μL) and 26,687 (82%) had a viral load result showing < 1000copies/ml within one year of their last visit. As for outcomes at their last visit, 62,821 (62%) were on active-in-treatment, 28,463 (28%) were lost-to-follow-up, 6912 (7%) died and 2456 (3%) had stopped or transferred out. Poor population death records and aversion to autopsies makes it almost impossible to estimate AIDS-related deaths. CONCLUSIONS: This cohort describes the clinical and non-clinical profile of EPLHIV in Nigeria. We are following up the cohort to design and implement intervention programs, develop prognostic models to achieve better care outcomes for EPLHIV. This cohort would provide vital information for stakeholders in HIV prevention, care and treatment to understand the characteristics of EPLHIV.