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1. The cost‐effectiveness of prophylaxis strategies for individuals with advanced HIV starting treatment in Africa

Author

Walker, Simon M., Cox, Edward, Revill, Paul, Musiime, Victor, Bwakura?Dangarembizi, Mutsa, Mallewa, Jane, Cheruiyot, Priscilla, Maitland, Kathryn, Ford, Nathan, Gibb, Diana M., Walker, A Sarah, Soares, Marta, Mugyenyi, P, Kityo, C, Musiime, V, Wavamunno, P, Nambi, E, Ocitti, P, Ndigendawani, M, Kabahenda, S, Kemigisa, M, Acen, J, Olebo, D, Mpamize, G, Amone, A, Okweny, D, Mbonye, A, Nambaziira, F, Rweyora, A, Kangah, M, Kabaswahili, V, Abach, J, Abongomera, G, Omongin, J, Aciro, I, Philliam, A, Arach, B, Ocung, E, Amone, G, Miles, P, Adong, C, Tumsuiime, C, Kidega, P, Otto, B, Apio, F, Baleeta, K, Mukuye, A, Abwola, M, Ssennono, F, Baliruno, D, Tuhirwe, S, Namisi, R, Kigongo, F, Kikyonkyo, D, Mushahara, F, Tusiime, J, Musiime, A, Nankya, A, Atwongyeire, D, Sirikye, S, Mula, S, Noowe, N, Lugemwa, A, Kasozi, M, Mwebe, S, Atwine, L, Senkindu, T, Natuhurira, T, Katemba, C, Ninsiima, E, Acaku, M, Kyomuhangi, J, Ankunda, R, Tukwasibwe, D, Ayesiga, L, Hakim, J, Nathoo, K, Bwakura?Dangarembizi, M, Reid, A, Chidziva, E, Mhute, T, Tinago, Gc, Bhiri, J, Mudzingwa, S, Phiri, M, Steamer, J, Nhema, R, Warambwa, C, Musoro, G, Mutsai, S, Nemasango, B, Moyo, C, Chitongo, S, Rashirai, K, Vhembo, S, Mlambo, B, Nkomani, S, Ndemera, B, Willard, M, Berejena, C, Musodza, Y, Matiza, P, Mudenge, B, Guti, V, Etyang, A, Agutu, C, Berkley, J, Maitland, K, Njuguna, P, Mwaringa, S, Etyang, T, Awuondo, K, Wale, S, Shangala, J, Kithunga, J, Mwarumba, S, Maitha, S Said, Mutai, R, Lewa, M Lozi, Mwambingu, G, Mwanzu, A, Kalama, C, Latham, H, Shikuku, J, Fondo, A, Njogu, A, Khadenge, C, Mwakisha, B, Siika, A, Wools?Kaloustian, K, Nyandiko, W, Cheruiyot, P, Sudoi, A, Wachira, S, Meli, B, Karoney, M, Nzioka, A, Tanui, M, Mokaya, M, Ekiru, W, Mboya, C, Mwimali, D, Mengich, C, Choge, J, Injera, W, Njenga, K, Cherutich, S, Orido, M Anyango, Lwande, G Omondi, Rutto, P, Mudogo, A, Kutto, I, Shali, A, Jaika, L, Jerotich, H, Pierre, M, Mallewa, J, Kaunda, S, Van Oosterhout, J, O'Hare, B, Heydermann, R, Gonzalez, C, Dzabala, N, Kelly, C, Denis, B, Selemani, G, Mipando, L Nyondo, Chirwa, E, Banda, P, Mvula, L, Msuku, H, Ziwoya, M, Manda, Y, Nicholas, S, Masesa, C, Mwalukomo, T, Makhaza, L, Sheha, I, Bwanali, J, Limbuni, M, Gibb, D, Thomason, M, Walker, As, Pett, S, Szubert, A, Griffiths, A, Wilkes, H, Rajapakse, C, Spyer, M, Prendergast, A, Klein, N, Rauchenberger, M, Van Looy, N, Little, E, Fairbrother, K, Cowan, F, Seeley, J, Bernays, S, Kawuma, R, Mupambireyi, Z, Kyomuhendo, F, Nakalanzi, S, Peshu, J, Ndaa, S, Chabuka, J, Mkandawire, N, Matandika, L, Kapuya, C, Weller, I, Malianga, E, Mwansambo, C, Miiro, F, Elyanu, P, Bukusi, E, Katabira, E, Mugurungi, O, Peto, T, Musoke, P, Matenga, J, Phiri, S, Lyall, H, Johnston, V, Fitzgerald, F, Post, F, Ssali, F, Arenas?Pinto, A, Turkova, A, and Bamford, A

Subjects
Cost benefit analysis, Practice guidelines (Medicine) -- Evaluation, HIV infection -- Diagnosis -- Care and treatment, Cost benefit analysis, Health
Abstract

: Introduction: Many HIV‐positive individuals in Africa have advanced disease when initiating antiretroviral therapy (ART) so have high risks of opportunistic infections and death. The REALITY trial found that an enhanced‐prophylaxis package including fluconazole reduced mortality by 27% in individuals starting ART with CD4 Methods: The REALITY trial enrolled from June 2013 to April 2015. A decision‐analytic model was developed to estimate the cost‐effectiveness of six management strategies in individuals initiating ART in the REALITY trial countries. Strategies included standard‐prophylaxis, enhanced‐prophylaxis, standard‐prophylaxis with fluconazole; and three CrAg testing strategies, the first stratifying individuals to enhanced‐prophylaxis (CrAg‐positive) or standard‐prophylaxis (CrAg‐negative), the second to enhanced‐prophylaxis (CrAg‐positive) or enhanced‐prophylaxis without fluconazole (CrAg‐negative) and the third to standard‐prophylaxis with fluconazole (CrAg‐positive) or without fluconazole (CrAg‐negative). The model estimated costs, life‐years and quality‐adjusted life‐years (QALY) over 48 weeks using three competing mortality risks: cryptococcal meningitis; tuberculosis, serious bacterial infection or other known cause; and unknown cause. Results: Enhanced‐prophylaxis was cost‐effective at cost‐effectiveness thresholds of US$300 and US$500 per QALY with an incremental cost‐effectiveness ratio (ICER) of US$157 per QALY in the CD4 Conclusions: The REALITY enhanced‐prophylaxis package in individuals with advanced HIV starting ART reduces morbidity and mortality, is practical to administer and is cost‐effective. Efforts should continue to ensure that components are accessed at lowest available prices., Introduction In low‐ and middle‐income settings, more than a third of HIV‐positive individuals starting antiretroviral therapy (ART) present with advanced disease (CD4 ≤ 200 cells/mm[sup.3]); over half of these have [...]

Published
2020
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2. Mapping the medical outcomes study HIV health survey (MOS-HIV) to the EuroQoL 5 Dimension (EQ-5D-3 L) utility index

Author

Shi, Yuan, Thompson, Jennifer, Walker, A Sarah, Paton, Nicholas I, Cheung, Yin Bun, Agweng, E, Awio, P, Bakeinyaga, G, Isabirye, C, Kabuga, U, Kasuswa, S, Katuramu, M, Kityo, C, Kiweewa, F, Kyomugisha, H, Lutalo, E, Mugyenyi, P, Mulima, D, Musana, H, Musitwa, G, Musiime, V, Ndigendawan, M, Namata, H, Nkalubo, J, Labejja, P Ocitti, Okello, P, Olal, P, Pimundu, G, Segonga, P, Ssali, F, Tamale, Z, Tumukunde, D, Namala, W, Byaruhanga, R, Kayiwa, J, Tukamushaba, J, Abunyang, S, Eram, D, Denis, O, Lwalanda, R, Mugarura, L, Namusanje, J, Nankya, I, Ndashimye, E, Nabulime, E, Senfuma, O, Bihabwa, G, Buluma, E, Easterbrook, P, Elbireer, A, Kambugu, A, Kamya, D, Katwere, M, Kiggundu, R, Komujuni, C, Laker, E, Lubwama, E, Mambule, I, Matovu, J, Nakajubi, A, Nakku, J, Nalumenya, R, Namuyimbwa, L, Semitala, F, Wandera, B, Wanyama, J, Mugerwa, H, Lugemwa, A, Ninsiima, E, Ssenkindu, T, Mwebe, S, Atwine, L, William, H, Katemba, C, Acaku, M, Ssebutinde, P, Kitizo, H, Kukundakwe, J, Naluguza, M, Ssegawa, K, Namayanja, Nsibuka, F, Tuhirirwe, P, Fortunate, M, Acen, J, Achidri, J, Amone, A, Chamai, M, Ditai, J, Kemigisa, M, Kiconco, M, Matama, C, Mbanza, D, Nambaziira, F, Odoi, M Owor, Rweyora, A, Tumwebaze, G, Kalanzi, H, Katabaazi, J, Kiyingi, A, Mbidde, M, Mugenyi, M, Mwebaze, R, Okong, P, Senoga, I, Abwola, M, Baliruno, D, Bwomezi, J, Kasede, A, Mudoola, M, Namisi, R, Ssennono, F, Tuhirwe, S, Abongomera, G, Amone, G, Abach, J, Aciro, I, Arach, B, Kidega, P, Omongin, J, Ocung, E, Odong, W, Philliam, A, Alima, H, Ahimbisibwe, B, Atuhaire, E, Atukunda, F, Bekusike, G, Bulegyeya, A, Kahatano, D, Kamukama, S, Kyoshabire, J, Nassali, A, Mbonye, A, Naturinda, TM, Ndukukire, Nshabohurira, A, Ntawiha, H, Rogers, A, Tibyasa, M, Kiirya, S, Atwongyeire, D, Nankya, A, Draleku, C, Nakiboneka, D, Odoch, D, Lakidi, L, Ruganda, R, Abiriga, R, Mulindwa, M, Balmoi, F, Kafuma, S, Moriku, E, Hakim, J, Reid, A, Chidziva, E, Musoro, G, Warambwa, C, Tinago, G, Mutsai, S, Phiri, M, Mudzingwa, S, Bafana, T, Masore, V, Moyo, C, Nhema, R, Chitongo, S, Heyderman, Robert, Kabanga, Lucky, Kaunda, Symon, Kudzala, Aubrey, Lifa, Linly, Mallewa, Jane, Moore, Mike, Mtali, Chrissie, Musowa, George, Mwimaniwa, Grace, Sikwese, Rosemary, van Oosterhout, Joep, Ziwoya, Milton, Chimbaka, H, Chitete, B, Kamanga, S, Kayinga, T, Makwakwa, E, Mbiya, R, Mlenga, M, Mphande, T, Mtika, C, Mushani, G, Ndhlovu, O, Ngonga, M, Nkhana, I, Nyirenda, R, Cheruiyot, P, Kwobah, C, Ekiru, W Lokitala, Mokaya, M, Mudogo, A, Nzioka, A, Siika, A, Tanui, M, Wachira, S, Wools-Kaloustian, K, Alipalli, P, Chikatula, E, Kipaila, J, Kunda, I, Lakhi, S, Malama, J, Mufwambi, W, Mulenga, L, Mwaba, P, Mwamba, E, Mweemba, A, Namfukwe, M, Kerukadho, E, Ngwatu, B, Birungi, J, Paton, N, Boles, J, Burke, A, Castle, L, Ghuman, S, Kendall, L, Hoppe, A, Tebbs, S, Thomason, M, Thompson, J, Walker, S, Whittle, J, Wilkes, H, Young, N, Kapuya, C, Kyomuhendo, F, Kyakundi, D, Mkandawire, N, Mulambo, S, Senyonjo, S, Angus, B, Arenas-Pinto, A, Palfreeman, A, Post, F, Ishola, D, Arribas, J, Colebunders, R, Floridia, M, Giuliano, M, Mallon, P, Walsh, P, De Rosa, M, Rinaldi, E, Weller, I, Gilks, C, Kangewende, A, Luyirika, E, Miiro, F, Mwamba, P, Ojoo, S, Phiri, S, van Oosterhout, J, Wapakabulo, A, Peto, T, French, N, Matenga, J, Cloherty, G, van Wyk, J, Norton, M, Lehrman, S, Lamba, P, Malik, K, Rooney, J, Snowden, W, Villacian, J, Team, EARNEST Trial, UAM. Departamento de Medicina, and Instituto de Investigación Sanitaria Hospital Universitario de La Paz (IdiPAZ)

Subjects
Adult, Male, Mean squared error, Medicina, Intraclass correlation, HIV Infections, lcsh:Computer applications to medicine. Medical informatics, Standard deviation, 03 medical and health sciences, 0302 clinical medicine, EQ-5D, Outcome Assessment, Health Care, Statistics, Covariate, Humans, 030212 general & internal medicine, Least-Squares Analysis, Africa South of the Sahara, Health utility, Mathematics, Medical outcomes study HIV health survey, Research, 030503 health policy & services, 1. No poverty, Public Health, Environmental and Occupational Health, General Medicine, Health Surveys, Regression, 3. Good health, Mapping, Ordinary least squares, Quality of Life, lcsh:R858-859.7, Female, 0305 other medical science, Body mass index
Abstract

Background: Mapping of health-related quality-of-life measures to health utility values can facilitate cost-utility evaluation. Regression-based methods tend to lead to shrinkage of variance. This study aims to map the Medical Outcomes Study HIV Health Survey (MOS-HIV) to EuroQoL 5 Dimensions (EQ-5D-3 L) utility index, and to characterize the performance of three mapping methods, including ordinary least squares (OLS), equi-percentile method (EPM), and a recently proposed method called Mean Rank Method (MRM). Methods: This is a secondary analysis of data from a randomized HIV treatment trial. Baseline data from 421 participants were used to develop mapping functions. Follow-up data from 236 participants was used to validate the mapping functions. Results: In the training dataset, MRM and OLS, but not EPM, reproduced the observed mean utility (0.731). MRM, OLS and EPM under-estimated the standard deviation by 0.3, 26.6 and 1.7%, respectively. MRM had the lowest mean absolute error (0.143) and highest intraclass correlation coefficient (0.723) with the observed utility values, whereas OLS had the lowest mean squared error (0.038) and highest R-squared (0.542). Regressing the MRM- and OLS-mapped utility values upon body mass index and log-viral load gave covariate associations comparable to those estimated from the observed utility data (all P > 0.10). EPM did not achieve this property. Findings from the validation data were similar. Conclusions: Functions are available for mapping the MOS-HIV to the EQ-5D-3 L utility values. MRM and OLS were comparable in terms of agreement with the observed utility values at the individual level. MRM had better performance at the group level in terms of describing the utility distribution. Trial registration: NCT00988039. Registered 30 September 2009., The EARNEST trial was funded by the European and Developing Countries Clinical Trials Partnership (EDCTP, Grant Code: IP.2007.33011.003) with contributions from the Medical Research Council, UK; Institito de Salud Carlos III, Spain (Grant A107/90015); Irish Aid, Ireland; Swedish International Development Cooperation Agency (SIDA), Sweden; Instituto Superiore di Sanita (ISS), Italy; The World Health Organisation; and Merck, USA. Substantive in-kind contributions were made by the Medical Research Council Clinical Trials Unit, UK [MC_UU_12023/23], CINECA, Bologna, Italy, Janssen Diagnostics, Beerse, Belgium; GSK/ViiV Healthcare Ltd., UK; Abbott Laboratories, USA. Trial medication was donated by AbbVie, Merck, Pfizer, GSK and Gilead. The Malawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi

Published
2019

3. Raltegravir-intensified initial antiretroviral therapy in advanced HIV disease in Africa: A randomised controlled trial

Author

Kityo, C, Szubert, AJ, Siika, A, Heyderman, R, Bwakura-Dangarembizi, M, Lugemwa, A, Mwaringa, S, Griffiths, A, Nkanya, I, Kabahenda, S, Wachira, S, Musoro, G, Rajapakse, C, Etyang, T, Abach, J, Spyer, MJ, Wavamunno, P, Nyondo-Mipando, L, Chidziva, E, Nathoo, K, Klein, N, Hakim, J, Gibb, DM, Walker, AS, Pett, SL, Mugyenyi, P, Musiime, V, Nambi, E, Ocitti, P, Ndigendawani, M, Kemigisa, M, Acen, J, Olebo, D, Mpamize, G, Amone, A, Okweny, D, Mbonye, A, Nambaziira, F, Rweyora, A, Kangah, M, Kabaswahili, V, Abongomera, G, Omongin, J, Aciro, I, Philliam, A, Arach, B, Ocung, E, Amone, G, Miles, P, Adong, C, Tumsuiime, C, Kidega, P, Otto, B, Apio, F, Baleeta, K, Mukuye, A, Abwola, M, Ssennono, F, Baliruno, D, Tuhirwe, S, Namisi, R, Kigongo, F, Kikyonkyo, D, Mushahara, F, Tusiime, J, Musiime, A, Nankya, A, Atwongyeire, D, Sirikye, S, Mula, S, Noowe, N, Kasozi, M, Mwebe, S, Atwine, L, Senkindu, T, Natuhurira, T, Katemba, C, Ninsiima, E, Acaku, M, Kyomuhangi, J, Ankunda, R, Tukwasibwe, D, Ayesiga, L, Reid, A, Mhute, T, Tinago, GC, Bhiri, J, Mudzingwa, S, Phiri, M, Steamer, J, Nhema, R, Warambwa, C, Mutsai, S, Nemasango, B, Moyo, C, Chitongo, S, Rashirai, K, Vhembo, S, Mlambo, B, Nkomani, S, Ndemera, B, Willard, M, Berejena, C, Musodza, Y, Matiza, P, Mudenge, B, Guti, V, Etyang, A, Agutu, C, Berkley, J, Maitland, K, Njuguna, P, Awuondo, K, Wale, S, Shangala, J, Kithunga, J, Mwarumba, S, Maitha, SS, Mutai, R, Lewa, ML, Mwambingu, G, Mwanzu, A, Kalama, C, Latham, H, Shikuku, J, Fondo, A, Njogu, A, Khadenge, C, Mwakisha, B, Wools-Kaloustian, K, Nyandiko, W, Cheruiyot, P, Sudoi, A, Meli, B, Karoney, M, Nzioka, A, Tanui, M, Mokaya, M, Ekiru, W, Mboya, C, Mwimali, D, Mengich, C, Choge, J, Injera, W, Njenga, K, Cherutich, S, Orido, MA, Lwande, GO, Rutto, P, Mudogo, A, Kutto, I, Shali, A, Jaika, L, Jerotich, H, Pierre, M, Mallewa, J, Kaunda, S, Van Oosterhout, J, O'Hare, B, Heydermann, R, Gonzalez, C, Dzabala, N, Kelly, C, Denis, B, Selemani, G, Mipando, LN, Chirwa, E, Banda, P, Mvula, L, Msuku, H, Ziwoya, M, Manda, Y, Nicholas, S, Masesa, C, Mwalukomo, T, Makhaza, L, Sheha, I, Bwanali, J, Limbuni, M, and DiFDMRCWellcome Trust

Subjects
Adult, Male, Zimbabwe, Malawi, Adolescent, Anti-HIV Agents, BIOMARKERS, CHILDREN, HIV Infections, Drug Administration Schedule, Health Services Accessibility, IMMUNE RECONSTITUTION, EFAVIRENZ, Young Adult, Medicine, General & Internal, General & Internal Medicine, Raltegravir Potassium, INFECTION, Humans, Uganda, Child, 11 Medical and Health Sciences, RESTORATION, IMMUNODEFICIENCY, Science & Technology, MORTALITY, ADULTS, SOUTH-AFRICA, Kenya, Anti-Retroviral Agents, Child, Preschool, Africa, Disease Progression, Female, Life Sciences & Biomedicine, REALITY trial team, Follow-Up Studies
Abstract

Background In sub-Saharan Africa, individuals infected with HIV who are severely immunocompromised have high mortality (about 10%) shortly after starting antiretroviral therapy (ART). This group also has the greatest risk of morbidity and mortality associated with immune reconstitution inflammatory syndrome (IRIS), a paradoxical response to successful ART. Integrase inhibitors lead to significantly more rapid declines in HIV viral load (VL) than all other ART classes. We hypothesised that intensifying standard triple-drug ART with the integrase inhibitor, raltegravir, would reduce HIV VL faster and hence reduce early mortality, although this strategy could also risk more IRIS events. Methods and findings In a 2×2×2 factorial open-label parallel-group trial, treatment-naive adults, adolescents, and children >5 years old infected with HIV, with cluster of differentiation 4 (CD4) 0.7) and despite significantly greater VL suppression with raltegravir-intensified ART at 4 weeks (343/836 [41.0%] versus 113/841 [13.4%] with standard ART, p < 0.001) and 12 weeks (567/789 [71.9%] versus 415/803 [51.7%] with standard ART, p < 0.001). Through 48 weeks, there was no evidence of differences in mortality (aHR = 0.98 [95% CI 0.76–1.28], p = 0.91); in serious (aHR = 0.99 [0.81–1.21], p = 0.88), grade-4 (aHR = 0.88 [0.71–1.09], p = 0.29), or ART-modifying (aHR = 0.90 [0.63–1.27], p = 0.54) adverse events (the latter occurring in 59 [6.5%] participants with raltegravir-intensified ART versus 66 [7.3%] with standard ART); in events judged compatible with IRIS (occurring in 89 [9.9%] participants with raltegravir-intensified ART versus 86 [9.5%] with standard ART, p = 0.79) or in hospitalisations (aHR = 0.94 [95% CI 0.76–1.17], p = 0.59). At 12 weeks, one and two raltegravir-intensified participants had predicted intermediate-level and high-level raltegravir resistance, respectively. At 48 weeks, the nucleoside reverse transcriptase inhibitor (NRTI) mutation K219E/Q (p = 0.004) and the non-nucleoside reverse transcriptase inhibitor (NNRTI) mutations K101E/P (p = 0.03) and P225H (p = 0.007) were less common in virus from participants with raltegravir-intensified ART, with weak evidence of less intermediate- or high-level resistance to tenofovir (p = 0.06), abacavir (p = 0.08), and rilpivirine (p = 0.07). Limitations of the study include limited clinical, radiological, and/or microbiological information for some participants, reflecting available services at the centres, and lack of baseline genotypes. Conclusions Although 12 weeks of raltegravir intensification was well tolerated and reduced HIV viraemia significantly faster than standard triple-drug ART during the time of greatest risk for early death, this strategy did not reduce mortality or clinical events in this group and is not warranted. There was no excess of IRIS-compatible events, suggesting that integrase inhibitors can be used safely as part of standard triple-drug first-line therapy in severely immunocompromised individuals. Trial registration ClinicalTrials.gov NCT01825031.

Published
2018

4. Late Presentation with HIV in Africa: Phenotypes, Risk, and Risk Stratification in the REALITY Trial

Author

Siika, A, McCabe, L, Bwakura-Dangarembizi, M, Kityo, C, Mallewa, J, Berkley, J, Maitland, K, Griffiths, A, Baleeta, K, Mudzingwa, S, Abach, J, Nathoo, K, Thomason, MJ, Prendergast, AJ, Walker, AS, Gibb, DM, Mugyenyi, P, Musiime, V, Wavamunno, P, Nambi, E, Ocitti, P, Ndigendawani, M, Kemigisa, M, Acen, J, Olebo, D, Mpamize, G, Amone, A, Okweny, D, Mbonye, A, Nambaziira, F, Rweyora, A, Kangah, M, Kabaswahili, V, Abongomera, G, Omongin, J, Aciro, I, Philliam, A, Arach, B, Ocung, E, Amone, G, Miles, P, Adong, C, Tumsuiime, C, Kidega, P, Otto, B, Apio, F, Mukuye, A, Abwola, M, Ssennono, F, Baliruno, D, Tuhirwe, S, Namisi, R, Kigongo, F, Kikyonkyo, D, Mushahara, F, Tusiime, J, Musiime, A, Nankya, A, Atwongyeire, D, Sirikye, S, Mula, S, Noowe, N, Lugemwa, A, Kasozi, M, Mwebe, S, Atwine, L, Senkindu, T, Natuhurira, T, Katemba, C, Ninsiima, E, Acaku, M, Kyomuhangi, J, Ankunda, R, Tukwasibwe, D, Ayesiga, L, Hakim, J, Reid, A, Chidziva, E, Mhute, T, Tinago, GC, Bhiri, J, Phiri, M, Steamer, J, Nhema, R, Warambwa, C, Musoro, G, Mutsai, S, Nemasango, B, Moyo, C, Chitongo, S, Rashirai, K, Vhembo, S, Mlambo, B, Global Health, Graduate School, APH - Personalized Medicine, APH - Quality of Care, AII - Infectious diseases, University of St Andrews. School of Medicine, University of St Andrews. Infection and Global Health Division, and DiFDMRCWellcome Trust

Subjects
0301 basic medicine, Male, Human immunodeficiency virus (HIV), HIV Infections, R Medicine (General), medicine.disease_cause, Late presentation, 0302 clinical medicine, Risk Factors, Antiretroviral Therapy, Highly Active, Health care, 030212 general & internal medicine, Child, health care economics and organizations, immunosuppression, Age Factors, 11 Medical And Health Sciences, 3. Good health, Phenotype, Infectious Diseases, Child, Preschool, Risk stratification, Female, Adult, Microbiology (medical), Adolescent, Anti-HIV Agents, 030106 microbiology, NDAS, Library science, Microbiology, Risk Assessment, 03 medical and health sciences, Immunocompromised Host, SDG 3 - Good Health and Well-being, medicine, Humans, Advanced HIV Disease, Mortality, Africa South of the Sahara, AIDS-Related Opportunistic Infections, business.industry, HIV, 06 Biological Sciences, Supplementary food, Antiretroviral therapy, mortality, R1, CD4 Lymphocyte Count, Clinical trials unit, Africa, Self care, business, Immunosuppression
Abstract

REALITY was funded by the Joint Global Health Trials Scheme (JGHTS) of the UK Department for International Development, the Wellcome Trust, and Medical Research Council (MRC) (grant number G1100693). Additional funding support was provided by the PENTA Foundation and core support to the MRC Clinical Trials Unit at University College London (grant numbers MC_UU_12023/23 and MC_UU_12023/26). Cipla Ltd, Gilead Sciences, ViiV Healthcare/GlaxoSmithKline, and Merck Sharp & Dohme donated drugs for REALITY, and ready-to-use supplementary food was purchased from Valid International. A. J. P. is funded by the Wellcome Trust (grant number 108065/Z/15/Z). J. A. B. is funded by the JGHTS (grant number MR/M007367/1). The Malawi-Liverpool–Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine (grant number 101113/Z/13/Z) and the Kenya Medical Research Institute (KEMRI)/Wellcome Trust Research Programme, Kilifi (grant number 203077/Z/16/Z) are supported by strategic awards from the Wellcome Trust, United Kingdom. Permission to publish was granted by the Director of KEMRI. This supplement was supported by funds from the Bill & Melinda Gates Foundation. Background. Severely immunocompromised human immunodefciency virus (HIV)-infected individuals have high mortality shortly afer starting antiretroviral therapy (ART). We investigated predictors of early mortality and "late presenter" phenotypes. Methods. Te Reduction of EArly MortaLITY (REALITY) trial enrolled ART-naive adults and children =5 years of age with CD4 counts .1). Results. Among 1711 included participants, 203 (12%) died. Mortality was independently higher with older age; lower CD4 count, albumin, hemoglobin, and grip strength; presence of World Health Organization stage 3/4 weight loss, fever, or vomiting; and problems with mobility or self-care at baseline (all P

Published
2018

5. Biomarkers of mortality in adults and adolescents with advanced HIV in sub-Saharan Africa.

Author

Riitho V, Connon R, Gwela A, Namusanje J, Nhema R, Siika A, Bwakura-Dangarembizi M, Musiime V, Berkley JA, Szubert AJ, Gibb DM, Walker AS, Klein N, and Prendergast AJ

Subjects
Humans, Africa South of the Sahara epidemiology, Male, Female, Adult, Adolescent, Trimethoprim, Sulfamethoxazole Drug Combination therapeutic use, Viral Load, Young Adult, Anti-HIV Agents therapeutic use, Child, HIV Infections drug therapy, HIV Infections mortality, HIV Infections immunology, Biomarkers blood
Abstract

One-third of people with HIV in sub-Saharan Africa start antiretroviral therapy (ART) with advanced disease. We investigated associations between immune biomarkers and mortality in participants with advanced HIV randomised to cotrimoxazole or enhanced antimicrobial prophylaxis in the Reduction of Early Mortality in HIV-Infected Adults and Children Starting Antiretroviral Therapy (REALITY) trial (ISRCTN43622374). Biomarkers were assayed using ELISA and Luminex. Associations between baseline values and all-cause 24-week mortality were analysed using Cox models, and for cause-specific mortality used Fine & Gray models, including prophylaxis randomisation, viral load, CD4, WHO stage, age, BMI, and site as covariates; and weighted according to inverse probability of selection into the substudy. Higher baseline CRP, IFN-γ, IL-6 and IP-10 were associated with higher all-cause mortality; and higher IL-23, IL-2 and RANTES with lower all-cause mortality. Associations varied by cause of death: tuberculosis-associated mortality was most strongly associated with higher CRP and sST2, and cryptococcosis-associated mortality with higher IL-4 and lower IL-8. Changes in I-FABP (p = 0.002), faecal alpha-1 antitrypsin (p = 0.01) and faecal myeloperoxidase (p = 0.005) between baseline and 4 weeks post-ART were greater in those receiving enhanced versus cotrimoxazole prophylaxis. Our findings highlight how the immune milieu shapes outcomes following ART initiation, and how adjunctive antimicrobials can modulate the gut environment in advanced HIV., (© 2024. The Author(s).)

Published
2024
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6. Benefits of enhanced infection prophylaxis at antiretroviral therapy initiation by cryptococcal antigen status.

Author

Pett SL, Spyer M, Haddow LJ, Nhema R, Benjamin LA, Najjuka G, Bilima S, Daud I, Musoro G, Kitabalwa J, Selemani G, Kandie S, Cornelius KM, Katemba C, Berkley JA, Hassan AS, Kityo C, Hakim J, Heyderman RS, Gibb DM, and Walker AS

Subjects
Adult, Antifungal Agents therapeutic use, Antigens, Fungal, CD4 Lymphocyte Count, Child, Humans, Retrospective Studies, AIDS-Related Opportunistic Infections drug therapy, AIDS-Related Opportunistic Infections prevention & control, HIV Infections drug therapy, Meningitis, Cryptococcal drug therapy, Meningitis, Cryptococcal prevention & control
Abstract

Objectives: To assess baseline prevalence of cryptococcal antigen (CrAg) positivity; and its contribution to reductions in all-cause mortality, deaths from cryptococcus and unknown causes, and new cryptococcal disease in the REALITY trial., Design: Retrospective CrAg testing of baseline and week-4 plasma samples in all 1805 African adults/children with CD4+ cell count less than 100 cells/μl starting antiretroviral therapy who were randomized to receive 12-week enhanced-prophylaxis (fluconazole 100 mg/day, azithromycin, isoniazid, cotrimoxazole) vs. standard-prophylaxis (cotrimoxazole)., Methods: Proportional hazards models were used to estimate the relative impact of enhanced-prophylaxis vs. standard-cotrimoxazole on all, cryptococcal and unknown deaths, and new cryptococcal disease, through 24 weeks, by baseline CrAg positivity., Results: Excluding 24 (1.4%) participants with active/prior cryptococcal disease at enrolment (all treated for cryptococcal disease), 133/1781 (7.5%) participants were CrAg-positive. By 24 weeks, 105 standard-cotrimoxazole vs. 78 enhanced-prophylaxis participants died. Of nine standard-cotrimoxazole and three enhanced-prophylaxis cryptococcal deaths, seven and two, respectively, were CrAg-positive at baseline. Among deaths of unknown cause, only 1/46 standard-cotrimoxazole and 1/28 enhanced-prophylaxis were CrAg-positive at baseline. There was no evidence that relative reductions in new cryptococcal disease associated with enhanced-prophylaxis varied between baseline CrAg-positives [hazard-ratio = 0.36 (95% confidence interval 0.13-0.98), incidence 19.5 vs. 56.5/100 person-years] and CrAg-negatives [hazard-ratio = 0.33 (0.03-3.14), incidence 0.3 vs. 0.9/100 person-years; Pheterogeneity = 0.95]; nor for all deaths, cryptococcal deaths or unknown deaths (Pheterogeneity > 0.3)., Conclusion: Relative reductions in cryptococcal disease/death did not depend on CrAg status. Deaths of unknown cause were unlikely to be cryptococcus-related; plausibly azithromycin contributed to their reduction. Findings support including 100 mg fluconazole in an enhanced-prophylaxis package at antiretroviral therapy initiation where CrAg screening is unavailable/impractical., (Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.)

Published
2021
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