Browsing by Author "Pinto, Jorge"

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    Global HIV mortality trends among children on antiretroviral treatment corrected for under‐reported deaths: an updated analysis of the International epidemiology Databases to Evaluate AIDS collaboration
    (Wiley, 2021-09) Kassanjee, Reshma; Johnson, Leigh F.; Zaniewski, Elizabeth; Ballif, Marie; Christ, Benedikt; Yiannoutsos, Constantin T.; Nyakato, Patience; Desmonde, Sophie; Edmonds, Andrew; Sudjaritruk, Tavitiya; Pinto, Jorge; Vreeman, Rachel; Dahourou, Désiré Lucien; Twizere, Christelle; Kariminia, Azar; Carlucci, James G.; Kasozi, Charles; Davies, Mary-Ann; Biostatistics, School of Public Health
    Introduction: The Joint United Nations Programme on HIV/AIDS (UNAIDS) projections of paediatric HIV prevalence and deaths rely on the International epidemiology Databases to Evaluate AIDS (IeDEA) consortium for mortality estimates among children living with HIV (CHIV) receiving antiretroviral therapy (ART). Previous estimates, based on data through 2014, may no longer be accurate due to expanded paediatric HIV care and treatment eligibility, and the possibility of unreported deaths in CHIV considered lost to follow-up (LTFU). We therefore estimated all-cause mortality and its trends in CHIV (<15 years old) on ART using extended and new IeDEA data. Methods: We analysed (i) IeDEA observational data from CHIV in routine care globally, and (ii) novel data from an IeDEA tracing study that determined outcomes in a sample of CHIV after being LTFU in southern Africa. We included 45,711 CHIV on ART during 2004 to 2017 at 72 programmes in Africa, Asia-Pacific and Latin America. We used mixed effects Poisson regression to estimate mortality by age, sex, CD4 at ART start, time on ART, region and calendar year. For Africa, in an adjusted analysis that accounts for unreported deaths among those LTFU, we first modified the routine data by simulating mortality outcomes within six months after LTFU, based on a Gompertz survival model fitted to the tracing data (n = 221). Results: Observed mortality rates were 1.8 (95% CI: 1.7 to 1.9) and 9.4 (6.3 to 13.4) deaths per 100 person-years in the routine and tracing data, respectively. We found strong evidence of higher mortality at shorter ART durations, lower CD4 values, and in infancy. Averaging over covariate patterns, the adjusted mortality rate was 54% higher than the unadjusted rate. In unadjusted analyses, mortality reduced by an average 60% and 73% from 2005 to 2017, within and outside of Africa, respectively. In the adjusted analysis for Africa, this temporal reduction was 42%. Conclusions: Mortality rates among CHIV have decreased substantially over time. However, when accounting for worse outcomes among those LTFU, mortality estimates increased and temporal improvements were slightly reduced, suggesting caution in interpreting analyses based only on programme data. The improved and updated IeDEA estimates on mortality among CHIV on ART support UNAIDS efforts to accurately model global HIV statistics.
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    Growth and CD4 patterns of adolescents living with perinatally acquired HIV worldwide, a CIPHER cohort collaboration analysis
    (Wiley, 2022) Collaborative Initiative for Paediatric HIV Education and Research (CIPHER) Global Cohort Collaboration; Jesson, Julie; Crichton, Siobhan; Quartagno, Matteo; Yotebieng, Marcel; Abrams, Elaine J.; Chokephaibulkit, Kulkanya; Le Coeur, Sophie; Aké-Assi, Marie-Hélène; Patel, Kunjal; Pinto, Jorge; Paul, Mary; Vreeman, Rachel; Davies, Mary-Ann; Ben-Farhat, Jihane; Van Dyke, Russell; Judd, Ali; Mofenson, Lynne; Vicari, Marissa; Seage, George, III.; Bekker, Linda-Gail; Essajee, Shaffiq; Gibb, Diana; Penazzato, Martina; Collins, Intira Jeannie; Wools-Kaloustian, Kara; Slogrove, Amy; Powis, Kate; Williams, Paige; Matshaba, Mogomotsi; Thahane, Lineo; Nyasulu, Phoebe; Lukhele, Bhekumusa; Mwita, Lumumba; Kekitiinwa-Rukyalekere, Adeodata; Wanless, Sebastian; Goetghebuer, Tessa; Thorne, Claire; Warszawski, Josiane; Galli, Luisa; van Rossum, Annemarie M.C.; Giaquinto, Carlo; Marczynska, Magdalena; Marques, Laura; Prata, Filipa; Ene, Luminita; Okhonskaya, Lyuba; Navarro, Marisa; Frick, Antoinette; Naver, Lars; Kahlert, Christian; Volokha, Alla; Chappell, Elizabeth; Pape, Jean William; Rouzier, Vanessa; Marcelin, Adias; Succi, Regina; Sohn, Annette H.; Kariminia, Azar; Edmonds, Andrew; Lelo, Patricia; Lyamuya, Rita; Ogalo, Edith Apondi; Odhiambo, Francesca Akoth; Haas, Andreas D.; Bolton, Carolyn; Muhairwe, Josephine; Tweya, Hannock; Sylla, Mariam; D'Almeida, Marceline; Renner, Lorna; Abzug, Mark J.; Oleske, James; Purswani, Murli; Teasdale, Chloe; Nuwagaba-Biribonwoha, Harriet; Goodall, Ruth; Leroy, Valériane; Medicine, School of Medicine
    Introduction: Adolescents living with HIV are subject to multiple co-morbidities, including growth retardation and immunodeficiency. We describe growth and CD4 evolution during adolescence using data from the Collaborative Initiative for Paediatric HIV Education and Research (CIPHER) global project. Methods: Data were collected between 1994 and 2015 from 11 CIPHER networks worldwide. Adolescents with perinatally acquired HIV infection (APH) who initiated antiretroviral therapy (ART) before age 10 years, with at least one height or CD4 count measurement while aged 10-17 years, were included. Growth was measured using height-for-age Z-scores (HAZ, stunting if <-2 SD, WHO growth charts). Linear mixed-effects models were used to study the evolution of each outcome between ages 10 and 17. For growth, sex-specific models with fractional polynomials were used to model non-linear relationships for age at ART initiation, HAZ at age 10 and time, defined as current age from 10 to 17 years of age. Results: A total of 20,939 and 19,557 APH were included for the growth and CD4 analyses, respectively. Half were females, two-thirds lived in East and Southern Africa, and median age at ART initiation ranged from <3 years in North America and Europe to >7 years in sub-Saharan African regions. At age 10, stunting ranged from 6% in North America and Europe to 39% in the Asia-Pacific; 19% overall had CD4 counts <500 cells/mm3 . Across adolescence, higher HAZ was observed in females and among those in high-income countries. APH with stunting at age 10 and those with late ART initiation (after age 5) had the largest HAZ gains during adolescence, but these gains were insufficient to catch-up with non-stunted, early ART-treated adolescents. From age 10 to 16 years, mean CD4 counts declined from 768 to 607 cells/mm3 . This decline was observed across all regions, in males and females. Conclusions: Growth patterns during adolescence differed substantially by sex and region, while CD4 patterns were similar, with an observed CD4 decline that needs further investigation. Early diagnosis and timely initiation of treatment in early childhood to prevent growth retardation and immunodeficiency are critical to improving APH growth and CD4 outcomes by the time they reach adulthood.
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    Incidence of switching to second-line antiretroviral therapy and associated factors in children with HIV: an international cohort collaboration
    (Elsevier, 2019-02) Collins, Intira J.; Wools-Kaloustian, Kara; Goodall, Ruth; Smith, Colette; Abrams, Elaine J.; Ben-Farhat, Jihane; Balkan, Suna; Davies, Mary-Ann; Edmonds, Andrew; Leroy, Valériane; Nuwagaba-Biribonwoha, Harriet; Patel, Kunjal; Paul, Mary E.; Pinto, Jorge; Conejo, Pablo Rojo; Sohn, Annette; Van Dyke, Russell; Vreeman, Rachel; Maxwell, Nicky; Timmerman, Venessa; Duff, Charlotte; Judd, Ali; Seage, George, III; Williams, Paige; Gibb, Diana M.; Bekker, Linda-Gail; Mofenson, Lynne; Vicari, Marissa; Essajee, Shaffiq; Mohapi, Edith Q.; Kazembe, Peter N.; Hlatshwayo, Makhosazana; Lumumba, Mwita; Kekitiinwa-Rukyalekere, Adeodata; Wanless, Sebastian; Matshaba, Mogomotsi S.; Goetghebuer, Tessa; Thorne, Claire; Warszawski, Josiane; Galli, Luisa; Geelen, Sybil; Giaquinto, Carlo; Marczynska, Magdalena; Marques, Laura; Prata, Filipa; Ene, Luminita; Okhonskaia, Liubov; Noguera-Julian, Antoni; Naver, Lars; Rudin, Christoph; Jourdain, Gonzague; Volokha, Alla; Rouzier, Vanessa; Succi, Regina; Chokephaibulkit, Kulkanya; Kariminia, Azar; Yotebieng, Marcel; Lelo, Patricia; Lyamuya, Rita; Marete, Irene; Oyaro, Patrick; Boulle, Andrew; Malisita, Kennedy; Fatti, Geoffrey; Haas, Andreas D.; Desmonde, Sophie; Dicko, Fatoumata; Abzug, Mark J.; Levin, Myron; Oleske, James; Chernoff, Miriam; Traite, Shirley; Purswani, Murli; Teasdale, Chloe; Chadwick, Ellen; Pediatrics, School of Medicine
    Background: Estimates of incidence of switching to second-line antiretroviral therapy (ART) among children with HIV are necessary to inform the need for paediatric second-line formulations. We aimed to quantify the cumulative incidence of switching to second-line ART among children in an international cohort collaboration. Methods: In this international cohort collaboration study, we pooled individual patient-level data for children younger than 18 years who initiated ART (two or more nucleoside reverse-transcriptase inhibitors [NRTI] plus a non-NRTI [NNRTI] or boosted protease inhibitor) between 1993 and 2015 from 12 observational cohort networks in the Collaborative Initiative for Paediatric HIV Education and Research (CIPHER) Global Cohort Collaboration. Patients who were reported to be horizontally infected with HIV and those who were enrolled in trials of treatment monitoring, switching, or interruption strategies were excluded. Switch to second-line ART was defined as change of one or more NRTI plus either change in drug class (NNRTI to protease inhibitor or vice versa) or protease inhibitor change, change from single to dual protease inhibitor, or addition of a new drug class. We used cumulative incidence curves to assess time to switching, and multivariable proportional hazards models to explore patient-level and cohort-level factors associated with switching, with death and loss to follow-up as competing risks. Findings: At the data cutoff of Sept 16, 2015, 182 747 children with HIV were included in the CIPHER dataset, of whom 93 351 were eligible, with 83 984 (90·0%) from sub-Saharan Africa. At ART initiation, the median patient age was 3·9 years (IQR 1·6-6·9) and 82 885 (88·8%) patients initiated NNRTI-based and 10 466 (11·2%) initiated protease inhibitor-based regimens. Median duration of follow-up after ART initiation was 26 months (IQR 9-52). 3883 (4·2%) patients switched to second-line ART after a median of 35 months (IQR 20-57) of ART. The cumulative incidence of switching at 3 years was 3·1% (95% CI 3·0-3·2), but this estimate varied widely depending on the cohort monitoring strategy, from 6·8% (6·5-7·2) in settings with routine monitoring of CD4 (CD4% or CD4 count) and viral load to 0·8% (0·6-1·0) in settings with clinical only monitoring. In multivariable analyses, patient-level factors associated with an increased likelihood of switching were male sex, older age at ART initiation, and initial NNRTI-based regimen (p<0·0001). Cohort-level factors that increased the likelihood of switching were higher-income country (p=0·0017) and routine or targeted monitoring of CD4 and viral load (p<0·0001), which was associated with a 166% increase in likelihood of switching compared with CD4 only monitoring (subdistributional hazard ratio 2·66, 95% CI 2·22-3·19). Interpretation: Our global paediatric analysis found wide variations in the incidence of switching to second-line ART across monitoring strategies. These findings suggest the scale-up of viral load monitoring would probably increase demand for paediatric second-line ART formulations.