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3 results on '"Ninsiima, E"'

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

Author

Walker, SM, Cox, E, Revill, P, Musiime, V, Bwakura‐Dangarembizi, M, Mallewa, J, Cheruiyot, P, Maitland, K, Ford, N, Gibb, DM, Walker, AS, Soares, M, Mugyenyi, P, Kityo, C, 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, 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, Njuguna, P, Mwaringa, S, Etyang, T, Awuondo, K, Wale, S, Shangala, J, Kithunga, J, Mwarumba, S, Said Maitha, S, Mutai, R, Lozi Lewa, M, 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, 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, Anyango Orido, M, Omondi Lwande, G, Rutto, P, Mudogo, A, Kutto, I, Shali, A, Jaika, L, Jerotich, H, Pierre, M, Kaunda, S, Van Oosterhout, J, O'Hare, B, Heydermann, R, Gonzalez, C, Dzabala, N, Kelly, C, Denis, B, Selemani, G, Nyondo Mipando, L, 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, 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, Bamford, A, Academic Medical Center, and DiFDMRCWellcome Trust

Subjects
Male, Antifungal Agents, Cost effectiveness, Cost-Benefit Analysis, Human immunodeficiency virus (HIV), HIV Infections, medicine.disease_cause, Cohort Studies, 0302 clinical medicine, late‐presenters, fluconazole, Advanced disease, Global health, 030212 general & internal medicine, Child, Research Articles, health care economics and organizations, education.field_of_study, cost‐effectiveness, 3. Good health, Infectious Diseases, Child, Preschool, Female, Quality-Adjusted Life Years, prophylaxis, 0305 other medical science, Post-Exposure Prophylaxis, medicine.drug, Research Article, Adult, medicine.medical_specialty, Tuberculosis, Antigens, Fungal, Adolescent, Cryptococcal antigen, Anti-HIV Agents, Population, late-presenters, 1117 Public Health and Health Services, 03 medical and health sciences, medicine, Humans, education, cost-effectiveness, 030505 public health, AIDS-Related Opportunistic Infections, business.industry, Public Health, Environmental and Occupational Health, HIV, 1103 Clinical Sciences, medicine.disease, CD4 Lymphocyte Count, Cryptococcus, Emergency medicine, Africa, business, Fluconazole, 1199 Other Medical and Health Sciences
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

Published
2020

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. 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

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