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1. 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

2. Routine versus clinically driven laboratory monitoring of HIV antiretroviral therapy in Africa (DART): a randomised non-inferiority trial

Author

DART Trial Team, Mugyenyi, P, Walker, AS, Hakim, J, Munderi, P, Gibb, DM, Kityo, C, Reid, A, Grosskurth, H, Darbyshire, JH, Ssali, F, Bray, D, Katabira, E, Babiker, AG, Gilks, CF, Kabuye, G, Nsibambi, D, Kasirye, R, Zalwango, E, Nakazibwe, M, Kikaire, B, Nassuna, G, Massa, R, Fadhiru, K, Namyalo, M, Zalwango, A, Generous, L, Khauka, P, Rutikarayo, N, Nakahima, W, Mugisha, A, Todd, J, Levin, J, Muyingo, S, Ruberantwari, A, Kaleebu, P, Yirrell, D, Ndembi, N, Lyagoba, F, Hughes, P, Aber, M, Lara, A Medina, Foster, S, Amurwon, J, Wakholi, B Nyanzi, Whitworth, J, Wangati, K, Amuron, B, Kajungu, D, Nakiyingi, J, Omony, W, Tumukunde, D, Otim, T, Kabanda, J, Musana, H, Akao, J, Kyomugisha, H, Byamukama, A, Sabiiti, J, Komugyena, J, Wavamunno, P, Mukiibi, S, Drasiku, A, Byaruhanga, R, Labeja, O, Katundu, P, Tugume, S, Awio, P, Namazzi, A, Bakeinyaga, GT, Katabira, H, Abaine, D, Tukamushaba, J, Anywar, W, Ojiambo, W, Angweng, E, Murungi, S, Haguma, W, Atwiine, S, Kigozi, J, Namale, L, Mukose, A, Mulindwa, G, Atwiine, D, Muhwezi, A, Nimwesiga, E, Barungi, G, Takubwa, J, Mwebesa, D, Kagina, G, Mulindwa, M, Ahimbisibwe, F, Mwesigwa, P, Akuma, S, Zawedde, C, Nyiraguhirwa, D, Tumusiime, C, Bagaya, L, Namara, W, Karungi, J, Kankunda, R, Enzama, R, Latif, A, Robertson, V, Chidziva, E, Bulaya-Tembo, R, Musoro, G, Taziwa, F, Chimbetete, C, Chakonza, L, Mawora, A, Muvirimi, C, Tinago, G, Svovanapasis, P, Simango, M, Chirema, O, Machingura, J, Mutsai, S, Phiri, M, Bafana, T, Chirara, M, Muchabaiwa, L, Muzambi, M, Mutowo, J, Chivhunga, T, Chigwedere, E, Pascoe, M, Warambwa, C, Zengeza, E, Mapinge, F, Makota, S, Jamu, A, Ngorima, N, Chirairo, H, Chitsungo, S, Chimanzi, J, Maweni, C, Warara, R, Matongo, M, Mudzingwa, S, Jangano, M, Moyo, K, Vere, L, Mdege, N, Machingura, I, Ronald, A, Kambungu, A, Lutwama, F, Mambule, I, Nanfuka, A, Walusimbi, J, Nabankema, E, Nalumenya, R, Namuli, T, Kulume, R, Namata, I, Nyachwo, L, Florence, A, Kusiima, A, Lubwama, E, Nairuba, R, Oketta, F, Buluma, E, Waita, R, Ojiambo, H, Sadik, F, Wanyama, J, Nabongo, P, Oyugi, J, Sematala, F, Muganzi, A, Twijukye, C, Byakwaga, H, Ochai, R, Muhweezi, D, Coutinho, A, Etukoit, B, Gilks, C, Boocock, K, Puddephatt, C, Grundy, C, Bohannon, J, Winogron, D, Burke, A, Babiker, A, Wilkes, H, Rauchenberger, M, Sheehan, S, Spencer-Drake, C, Taylor, K, Spyer, M, Ferrier, A, Naidoo, B, Dunn, D, Goodall, R, Peto, L, Nanfuka, R, Mufuka-Kapuya, C, Pillay, D, McCormick, A, Weller, I, Bahendeka, S, Bassett, M, Wapakhabulo, A Chogo, Gazzard, B, Mapuchere, C, Mugurungi, O, Burke, C, Jones, S, Newland, C, Pearce, G, Rahim, S, Rooney, J, Smith, M, Snowden, W, Steens, J-M, Breckenridge, A, McLaren, A, Hill, C, Matenga, J, Pozniak, A, Serwadda, D, Peto, T, Palfreeman, A, and Borok, M

Subjects
Male, Neutrophils, HIV Infections, law.invention, Hemoglobins, Randomized controlled trial, law, Medicine, Urea, HIV-Associated Lipodystrophy Syndrome, Hazard ratio, Lamivudine, Anemia, General Medicine, Middle Aged, Viral Load, Anti-Retroviral Agents, Creatinine, Disease Progression, RNA, Viral, Female, Drug Monitoring, Zidovudine, medicine.drug, Glomerular Filtration Rate, Adult, medicine.medical_specialty, Neutropenia, Adolescent, Organophosphonates, Acquired immunodeficiency syndrome (AIDS), Internal medicine, Fast track — Articles, Humans, Nevirapine, Adverse effect, Tenofovir, Aged, Intention-to-treat analysis, business.industry, Adenine, medicine.disease, Dideoxynucleosides, CD4 Lymphocyte Count, Clinical trial, Clinical research, Immunology, Africa, HIV-1, business
Abstract

BACKGROUND: HIV antiretroviral therapy (ART) is often managed without routine laboratory monitoring in Africa; however, the effect of this approach is unknown. This trial investigated whether routine toxicity and efficacy monitoring of HIV-infected patients receiving ART had an important long-term effect on clinical outcomes in Africa. METHODS: In this open, non-inferiority trial in three centres in Uganda and one in Zimbabwe, 3321 symptomatic, ART-naive, HIV-infected adults with CD4 counts less than 200 cells per microL starting ART were randomly assigned to laboratory and clinical monitoring (LCM; n=1659) or clinically driven monitoring (CDM; n=1662) by a computer-generated list. Haematology, biochemistry, and CD4-cell counts were done every 12 weeks. In the LCM group, results were available to clinicians; in the CDM group, results (apart from CD4-cell count) could be requested if clinically indicated and grade 4 toxicities were available. Participants switched to second-line ART after new or recurrent WHO stage 4 events in both groups, or CD4 count less than 100 cells per microL (LCM only). Co-primary endpoints were new WHO stage 4 HIV events or death, and serious adverse events. Non-inferiority was defined as the upper 95% confidence limit for the hazard ratio (HR) for new WHO stage 4 events or death being no greater than 1.18. Analyses were by intention to treat. This study is registered, number ISRCTN13968779. FINDINGS: Two participants assigned to CDM and three to LCM were excluded from analyses. 5-year survival was 87% (95% CI 85-88) in the CDM group and 90% (88-91) in the LCM group, and 122 (7%) and 112 (7%) participants, respectively, were lost to follow-up over median 4.9 years' follow-up. 459 (28%) participants receiving CDM versus 356 (21%) LCM had a new WHO stage 4 event or died (6.94 [95% CI 6.33-7.60] vs 5.24 [4.72-5.81] per 100 person-years; absolute difference 1.70 per 100 person-years [0.87-2.54]; HR 1.31 [1.14-1.51]; p=0.0001). Differences in disease progression occurred from the third year on ART, whereas higher rates of switch to second-line treatment occurred in LCM from the second year. 283 (17%) participants receiving CDM versus 260 (16%) LCM had a new serious adverse event (HR 1.12 [0.94-1.32]; p=0.19), with anaemia the most common (76 vs 61 cases). INTERPRETATION: ART can be delivered safely without routine laboratory monitoring for toxic effects, but differences in disease progression suggest a role for monitoring of CD4-cell count from the second year of ART to guide the switch to second-line treatment. FUNDING: UK Medical Research Council, the UK Department for International Development, the Rockefeller Foundation, GlaxoSmithKline, Gilead Sciences, Boehringer-Ingelheim, and Abbott Laboratories.

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