Dataset Information

Aging with HIV: what effect on mortality and loss to follow-up in the course of antiretroviral therapy? The IeDEA West Africa Cohort Collaboration.

ABSTRACT: Background:Reporting mortality and lost to follow-up (LTFU) by age is essential as older HIV-positive patients might be at risk of long-term effects of living with HIV and/or taking antiretroviral therapy (ART). As age effects might not be linear and might impact HIV outcomes in the oldest more severely, people living with HIV (PLHIV) aged 50-59 years and PLHIV aged >60 years were considered separately. Setting:Seventeen adult HIV/AIDS clinics spread over nine countries in West Africa. Methods:Data were collected within the International Epidemiological Databases to Evaluate AIDS West Africa Collaboration. ART-naïve PLHIV-1 adults aged >16 years initiating ART and attending ?2 clinic visits were included (N=73,525). Age was divided into five groups: 16-29/30-39/40-49/50-59/?60 years. The age effect on mortality and LTFU was evaluated with Kaplan-Meier curves and multivariable Cox proportional hazard regressions. Results:At month 36, 5.9% of the patients had died and 47.3% were LTFU. Patients aged ?60 (N=1,736) and between 50-59 years old (N=6,792) had an increased risk of death in the first 36 months on ART (adjusted hazard ratio=1.66; 95% CI: 1.36-2.03 and adjusted hazard ratio=1.31; 95% CI: 1.15-1.49, respectively; reference: <30 years old). Patients ?60 years old tend to be more often LTFU. Conclusion:The oldest PLHIV presented the poorest outcomes, suggesting that the PLHIV aged >50 years old should not be considered as a unique group irrespective of their age. Tailored programs focusing on improving the care services for older PLHIV in Sub-Saharan Africa are clearly needed to improve basic program outcomes.

SUBMITTER: Bernard C

PROVIDER: S-EPMC6247956 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Aging with HIV: what effect on mortality and loss to follow-up in the course of antiretroviral therapy? The IeDEA West Africa Cohort Collaboration.

Bernard Charlotte C Balestre Eric E Coffie Patrick A PA Eholie Serge Paul SP Messou Eugène E Kwaghe Viviane V Okwara Benson B Sawadogo Adrien A Abo Yao Y Dabis François F de Rekeneire Nathalie N

HIV/AIDS (Auckland, N.Z.) 20181116

<h4>Background</h4>Reporting mortality and lost to follow-up (LTFU) by age is essential as older HIV-positive patients might be at risk of long-term effects of living with HIV and/or taking antiretroviral therapy (ART). As age effects might not be linear and might impact HIV outcomes in the oldest more severely, people living with HIV (PLHIV) aged 50-59 years and PLHIV aged >60 years were considered separately.<h4>Setting</h4>Seventeen adult HIV/AIDS clinics spread over nine countries in West Af ...[more]

PMID: 30532600

Similar Datasets

Project description:BackgroundSince 2005, increasing numbers of children have started antiretroviral therapy (ART) in sub-Saharan Africa and, in recent years, WHO and country treatment guidelines have recommended ART initiation for all infants and very young children, and at higher CD4 thresholds for older children. We examined temporal changes in patient and regimen characteristics at ART start using data from 12 cohorts in 4 countries participating in the IeDEA-SA collaboration.Methodology/principal findingsData from 30,300 ART-naïve children aged <16 years at ART initiation who started therapy between 2005 and 2010 were analysed. We examined changes in median values for continuous variables using the Cuzick's test for trend over time. We also examined changes in the proportions of patients with particular disease severity characteristics (expressed as a binary variable e.g. WHO Stage III/IV vs I/II) using logistic regression. Between 2005 and 2010 the number of children starting ART each year increased and median age declined from 63 months (2006) to 56 months (2010). Both the proportion of children <1 year and ?10 years of age increased from 12 to 19% and 18 to 22% respectively. Children had less severe disease at ART initiation in later years with significant declines in the percentage with severe immunosuppression (81 to 63%), WHO Stage III/IV disease (75 to 62%), severe anemia (12 to 7%) and weight-for-age z-score<-3 (31 to 28%). Similar results were seen when restricting to infants with significant declines in the proportion with severe immunodeficiency (98 to 82%) and Stage III/IV disease (81 to 63%). First-line regimen use followed country guidelines.Conclusions/significanceBetween 2005 and 2010 increasing numbers of children have initiated ART with a decline in disease severity at start of therapy. However, even in 2010, a substantial number of infants and children started ART with advanced disease. These results highlight the importance of efforts to improve access to HIV diagnostic testing and ART in children.

Project description:IntroductionWe assessed mortality and losses to follow-up (LTFU) during adolescence in routine care settings in the International epidemiology Databases to Evaluate AIDS (IeDEA) consortium.MethodsCohorts in the Asia-Pacific, the Caribbean, Central, and South America, and sub-Saharan Africa (Central, East, Southern, West) contributed data, and included adolescents living with HIV (ALHIV) enrolled from January 2003 and aged 10 to 19 years (period of adolescence) while under care up to database closure (June 2016). Follow-up started at age 10 years or the first clinic visit, whichever was later. Entering care at <15 years was a proxy for perinatal infection, while entering care ?15 years represented infection acquired during adolescence. Competing risk regression was used to assess associations with death and LTFU among those ever receiving triple-drug antiretroviral therapy (triple-ART).ResultsOf the 61,242 ALHIV from 270 clinics in 34 countries included in the analysis, 69% (n = 42,138) entered care <15 years of age (53% female), and 31% (n = 19,104) entered care ?15 years (81% female). During adolescence, 3.9% died, 30% were LTFU and 8.1% were transferred. For those with infection acquired perinatally versus during adolescence, the four-year cumulative incidences of mortality were 3.9% versus 5.4% and of LTFU were 26% versus 69% respectively (both p < 0.001). Overall, there were higher hazards of death for females (adjusted sub-hazard ratio (asHR) 1.19, 95% confidence interval (CI) 1.07 to 1.33), and those starting treatment at ?5 years of age (highest asHR for age ?15: 8.72, 95% CI 5.85 to 13.02), and in care in mostly urban (asHR 1.40, 95% CI 1.13 to 1.75) and mostly rural settings (asHR 1.39, 95% CI 1.03 to 1.87) compared to urban settings. Overall, higher hazards of LTFU were observed among females (asHR 1.12, 95% CI 1.07 to 1.17), and those starting treatment at age ?5 years (highest asHR for age ?15: 11.11, 95% CI 9.86 to 12.53), in care at district hospitals (asHR 1.27, 95% CI 1.18 to 1.37) or in rural settings (asHR 1.21, 95% CI 1.13 to 1.29), and starting triple-ART after 2006 (highest asHR for 2011 to 2016 1.84, 95% CI 1.71 to 1.99).ConclusionsBoth mortality and LTFU were worse among those entering care at ?15 years. ALHIV should be evaluated apart from younger children and adults to identify population-specific reasons for death and LTFU.

Project description:BACKGROUND:We investigated 18-month incidence and determinants of death and loss to follow-up of children after antiretroviral therapy (ART) initiation in a multiregional collaboration in lower-income countries. METHODS:HIV-infected children (positive polymerase chain reaction <18 months or positive serology ?18 months) from International Epidemiologic Databases to Evaluate AIDS cohorts, <16 years, initiating ART were eligible. A competing risk regression model was used to analyze the independent risk of 2 failure types: death and loss to follow-up (>6 months). FINDINGS:Data on 13,611 children, from Asia (N = 1454), East Africa (N = 3114), Southern Africa (N = 6212), and West Africa (N = 2881) contributed 20,417 person-years of follow-up. At 18 months, the adjusted risk of death was 4.3% in East Africa, 5.4% in Asia, 5.7% in Southern Africa, and 7.4% in West Africa (P = 0.01). Age < 24 months, World Health Organization stage 4, CD4 < 10%, attending a private sector clinic, larger cohort size, and living in West Africa were independently associated with poorer survival. The adjusted risk of loss to follow-up was 4.1% in Asia, 9.0% in Southern Africa, 14.0% in East Africa, and 21.8% in West Africa (P < 0.01). Age < 12 months, nonnucleoside reverse transcriptase inhibitor I-based ART regimen, World Health Organization stage 4 at ART start, ART initiation after 2005, attending a public sector or a nonurban clinic, having to pay for laboratory tests or antiretroviral drugs, larger cohort size, and living in East Africa or West Africa were significantly associated with higher loss to follow-up. CONCLUSIONS:Findings differed substantially across regions but raise overall concerns about delayed ART start, low access to free HIV services for children, and increased workload on program retention in lower-income countries. Universal free access to ART services and innovative approaches are urgently needed to improve pediatric outcomes at the program level.

Project description:BackgroundPlasma HIV-1 RNA monitoring is one of the standard tests for the management of HIV-1 infection. While HIV-1 RNA can be quantified using several commercial tests, no test has been commercialized for HIV-2 RNA quantification. We studied the relationship between plasma HIV-2 viral load (VL) and CD4 count in West African patients who were either receiving antiretroviral therapy (ART) or treatment-naïve.MethodA cross sectional survey was conducted among HIV-2-infected individuals followed in three countries in West Africa from March to December 2012. All HIV-2 infected-patients who attended one of the participating clinics were proposed a plasma HIV-2 viral load measurement. HIV-2 RNA was quantified using the new ultrasensitive in-house real-time PCR assay with a detection threshold of 10 copies/ mL (cps/mL).ResultsA total of 351 HIV-2-infected individuals participated in this study, of whom 131 (37.3%) were treatment naïve and 220 (62.7%) had initiated ART. Among treatment-naïve patients, 60 (46.5%) had undetectable plasma HIV-2 viral load (<10 cps/mL), it was detectable between 10-100 cps/mL in 35.8%, between 100-1000 cps/mL in 11.7% and >1000 cps/mL in 6.0% of the patients. Most of the treatment-naïve patients (70.2%) had CD4-T cell count ≥500 cells/mm3 and 43 (46.7%) of these patients had a detectable VL (≥10 cps/mL). Among the 220 patients receiving ART, the median CD4-T cell count rose from 231 to 393 cells/mm3 (IQR [259-561]) after a median follow-up duration of 38 months and 145 (66.0%) patients had CD4-T cell count ≤ 500 cells/mm3 with a median viral load of 10 cps/mL (IQR [10-33]). Seventy five (34.0%) patients had CD4-T cell count ≥ 500 cells/mm3, among them 14 (18.7%) had a VL between 10-100 cps/mL and 2 (2.6%) had VL >100 cps/mL.ConclusionThis study suggests that the combination of CD4-T cell count and ultrasensitive HIV-2 viral load quantification with a threshold of 10 cps/mL, could improve ART initiation among treatment naïve HIV-2-infected patients and the monitoring of ART response among patients receiving treatment.

Project description:BackgroundThe World Health Organization estimates that in sub-Saharan Africa about 4 million HIV-infected patients had started antiretroviral therapy (ART) by the end of 2008. Loss of patients to follow-up and care is an important problem for treatment programmes in this region. As mortality is high in these patients compared to patients remaining in care, ART programmes with high rates of loss to follow-up may substantially underestimate mortality of all patients starting ART.Methods and findingsWe developed a nomogram to correct mortality estimates for loss to follow-up, based on the fact that mortality of all patients starting ART in a treatment programme is a weighted average of mortality among patients lost to follow-up and patients remaining in care. The nomogram gives a correction factor based on the percentage of patients lost to follow-up at a given point in time, and the estimated ratio of mortality between patients lost and not lost to follow-up. The mortality observed among patients retained in care is then multiplied by the correction factor to obtain an estimate of programme-level mortality that takes all deaths into account. A web calculator directly calculates the corrected, programme-level mortality with 95% confidence intervals (CIs). We applied the method to 11 ART programmes in sub-Saharan Africa. Patients retained in care had a mortality at 1 year of 1.4% to 12.0%; loss to follow-up ranged from 2.8% to 28.7%; and the correction factor from 1.2 to 8.0. The absolute difference between uncorrected and corrected mortality at 1 year ranged from 1.6% to 9.8%, and was above 5% in four programmes. The largest difference in mortality was in a programme with 28.7% of patients lost to follow-up at 1 year.ConclusionsThe amount of bias in mortality estimates can be large in ART programmes with substantial loss to follow-up. Programmes should routinely report mortality among patients retained in care and the proportion of patients lost. A simple nomogram can then be used to estimate mortality among all patients who started ART, for a range of plausible mortality rates among patients lost to follow-up.

Dataset Information

Aging with HIV: what effect on mortality and loss to follow-up in the course of antiretroviral therapy? The IeDEA West Africa Cohort Collaboration.

Publications

Aging with HIV: what effect on mortality and loss to follow-up in the course of antiretroviral therapy? The IeDEA West Africa Cohort Collaboration.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets