Literature DB >> 26424542

Estimation of mortality among HIV-infected people on antiretroviral treatment in East Africa: a sampling based approach in an observational, multisite, cohort study.

Elvin H Geng1, Thomas A Odeny2, Rita E Lyamuya3, Alice Nakiwogga-Muwanga4, Lameck Diero5, Mwebesa Bwana6, Winnie Muyindike6, Paula Braitstein7, Geoffrey R Somi3, Andrew Kambugu4, Elizabeth A Bukusi2, Megan Wenger8, Kara K Wools-Kaloustian9, David V Glidden8, Constantin T Yiannoutsos10, Jeffrey N Martin11.   

Abstract

BACKGROUND: Mortality in HIV-infected people after initiation of antiretroviral treatment (ART) in resource-limited settings is an important measure of the effectiveness and comparative effectiveness of the global public health response. Substantial loss to follow-up precludes accurate accounting of deaths and limits our understanding of effectiveness. We aimed to provide a better understanding of mortality at scale and, by extension, the effectiveness and comparative effectiveness of public health ART treatment in east Africa.
METHODS: In 14 clinics in five settings in Kenya, Uganda, and Tanzania, we intensively traced a sample of patients randomly selected using a random number generator, who were infected with HIV and on ART and who were lost to follow-up (>90 days late for last scheduled visit). We incorporated the vital status outcomes for these patients into analyses of the entire clinic population through probability-weighted survival analyses.
FINDINGS: We followed 34 277 adults on ART from Mbarara and Kampala in Uganda, Eldoret, and Kisumu in Kenya, and Morogoro in Tanzania. The median age was 35 years (IQR 30-42), 11 628 (34%) were men, and median CD4 count count before therapy was 154 cells per μL (IQR 70-234). 5780 patients (17%) were lost to follow-up, 991 (17%) were selected for tracing between June 10, 2011, and Aug 27, 2012, and vital status was ascertained for 860 (87%). With incorporation of outcomes from the patients lost to follow-up, estimated 3 year mortality increased from 3·9% (95% CI 3·6-4·2) to 12·5% (11·8-13·3). The sample-corrected, unadjusted 3 year mortality across settings was lowest in Mbarara (7·2%) and highest in Morogoro (23·6%). After adjustment for age, sex, CD4 count before therapy, and WHO stage, the sample-corrected hazard ratio comparing the settings with highest and lowest mortalities was 2·2 (95% CI 1·5-3·4) and the risk difference for death at 3 years was 11% (95% CI 5·0-17·7).
INTERPRETATION: A sampling-based approach is widely feasible and important to an understanding of mortality after initiation of ART. After adjustment for measured biological drivers, mortality differs substantially across settings despite delivery of a similar clinical package of treatment. Implementation research to understand the systems, community, and patients' behaviours driving these differences is urgently needed. FUNDING: The US National Institutes of Health and President's Emergency Fund for AIDS Relief.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26424542      PMCID: PMC4480204          DOI: 10.1016/S2352-3018(15)00002-8

Source DB:  PubMed          Journal:  Lancet HIV        ISSN: 2352-3018            Impact factor:   12.767


  34 in total

1.  A causal framework for understanding the effect of losses to follow-up on epidemiologic analyses in clinic-based cohorts: the case of HIV-infected patients on antiretroviral therapy in Africa.

Authors:  Elvin H Geng; David V Glidden; David R Bangsberg; Mwebesa Bosco Bwana; Nicholas Musinguzi; Denis Nash; John Z Metcalfe; Constantin T Yiannoutsos; Jeffrey N Martin; Maya L Petersen
Journal:  Am J Epidemiol       Date:  2012-02-03       Impact factor: 4.897

2.  Viability and effectiveness of large-scale HIV treatment initiatives in sub-Saharan Africa: experience from western Kenya.

Authors:  Kara Wools-Kaloustian; Silvester Kimaiyo; Lameck Diero; Abraham Siika; John Sidle; Constantin T Yiannoutsos; Beverly Musick; Robert Einterz; Kenneth H Fife; William M Tierney
Journal:  AIDS       Date:  2006-01-02       Impact factor: 4.177

3.  The WHO public-health approach to antiretroviral treatment against HIV in resource-limited settings.

Authors:  Charles F Gilks; Siobhan Crowley; René Ekpini; Sandy Gove; Jos Perriens; Yves Souteyrand; Don Sutherland; Marco Vitoria; Teguest Guerma; Kevin De Cock
Journal:  Lancet       Date:  2006-08-05       Impact factor: 79.321

4.  The analysis of failure times in the presence of competing risks.

Authors:  R L Prentice; J D Kalbfleisch; A V Peterson; N Flournoy; V T Farewell; N E Breslow
Journal:  Biometrics       Date:  1978-12       Impact factor: 2.571

Review 5.  Patient retention in antiretroviral therapy programs up to three years on treatment in sub-Saharan Africa, 2007-2009: systematic review.

Authors:  Matthew P Fox; Sydney Rosen
Journal:  Trop Med Int Health       Date:  2010-06       Impact factor: 2.622

6.  Excessive early mortality in the first year of treatment in HIV type 1-infected patients initiating antiretroviral therapy in resource-limited settings.

Authors:  Maria Cristina Marazzi; Giuseppe Liotta; Paola Germano; Giovanni Guidotti; A Doro Altan; Susanna Ceffa; Massimo Magnano San Lio; Karin Nielsen-Saines; Leonardo Palombi
Journal:  AIDS Res Hum Retroviruses       Date:  2008-04       Impact factor: 2.205

Review 7.  The behaviour change wheel: a new method for characterising and designing behaviour change interventions.

Authors:  Susan Michie; Maartje M van Stralen; Robert West
Journal:  Implement Sci       Date:  2011-04-23       Impact factor: 7.327

8.  Overestimates of survival after HAART: implications for global scale-up efforts.

Authors:  Gregory P Bisson; Tendani Gaolathe; Robert Gross; Caitlin Rollins; Scarlett Bellamy; Mpho Mogorosi; Ava Avalos; Harvey Friedman; Diana Dickinson; Ian Frank; Ndwapi Ndwapi
Journal:  PLoS One       Date:  2008-03-05       Impact factor: 3.240

Review 9.  Patient retention in antiretroviral therapy programs in sub-Saharan Africa: a systematic review.

Authors:  Sydney Rosen; Matthew P Fox; Christopher J Gill
Journal:  PLoS Med       Date:  2007-10-16       Impact factor: 11.069

10.  Predictors of mortality in HIV-infected patients starting antiretroviral therapy in a rural hospital in Tanzania.

Authors:  Asgeir Johannessen; Ezra Naman; Bernard J Ngowi; Leiv Sandvik; Mecky I Matee; Henry E Aglen; Svein G Gundersen; Johan N Bruun
Journal:  BMC Infect Dis       Date:  2008-04-22       Impact factor: 3.090

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  52 in total

1.  Evaluating the Impact of a HIV Low-Risk Express Care Task-Shifting Program: A Case Study of the Targeted Learning Roadmap.

Authors:  Linh Tran; Constantin T Yiannoutsos; Beverly S Musick; Kara K Wools-Kaloustian; Abraham Siika; Sylvester Kimaiyo; Mark J van der Laan; Maya Petersen
Journal:  Epidemiol Methods       Date:  2016-11-10

2.  Feasibility and acceptability of an iris biometric system for unique patient identification in routine HIV services in Kenya.

Authors:  Njoroge Anne; Matthew D Dunbar; Felix Abuna; Peter Simpson; Paul Macharia; Bourke Betz; Peter Cherutich; David Bukusi; Farquhar Carey
Journal:  Int J Med Inform       Date:  2019-10-18       Impact factor: 4.046

3.  Host genetic predictors of the kynurenine pathway of tryptophan catabolism among treated HIV-infected Ugandans.

Authors:  Sulggi A Lee; Joel A Mefford; Yong Huang; John S Witte; Jeffrey N Martin; David W Haas; Paul J Mclaren; Taisei Mushiroda; Michiaki Kubo; Helen Byakwaga; Peter W Hunt; Deanna L Kroetz
Journal:  AIDS       Date:  2016-07-17       Impact factor: 4.177

4.  A state transition framework for patient-level modeling of engagement and retention in HIV care using longitudinal cohort data.

Authors:  Hana Lee; Joseph W Hogan; Becky L Genberg; Xiaotian K Wu; Beverly S Musick; Ann Mwangi; Paula Braitstein
Journal:  Stat Med       Date:  2017-11-22       Impact factor: 2.373

5.  Loss to follow-up correction increased mortality estimates in HIV-positive people on antiretroviral therapy in Mozambique.

Authors:  Nanina Anderegg; Jonas Hector; Laura F Jefferys; Juan Burgos-Soto; Michael A Hobbins; Jochen Ehmer; Lukas Meier; Marloes H Maathuis; Matthias Egger
Journal:  J Clin Epidemiol       Date:  2020-08-20       Impact factor: 6.437

Review 6.  Outcomes of HIV-positive patients lost to follow-up in African treatment programmes.

Authors:  Kathrin Zürcher; Anne Mooser; Nanina Anderegg; Olga Tymejczyk; Margaret J Couvillon; Denis Nash; Matthias Egger
Journal:  Trop Med Int Health       Date:  2017-02-20       Impact factor: 2.622

7.  Patient engagement in HIV care and treatment in Zambia, 2004-2014.

Authors:  Neo Christopher Chung; Carolyn Bolton-Moore; Roma Chilengi; Margaret P Kasaro; Jeffrey S A Stringer; Benjamin H Chi
Journal:  Trop Med Int Health       Date:  2017-01-19       Impact factor: 2.622

8.  Trends Over Time for Adolescents Enrolling in HIV Care in Kenya, Tanzania, and Uganda From 2001-2014.

Authors:  Edith Apondi; John M Humphrey; Edwin Sang; Ann Mwangi; Alfred Keter; Beverly S Musick; Fred K Nalugoda; John Ssali; Elizabeth Bukusi; Constantin T Yiannoutsos; Kara Wools-Kaloustian; Samuel Ayaya
Journal:  J Acquir Immune Defic Syndr       Date:  2018-10-01       Impact factor: 3.731

9.  Time to First-Line ART Failure and Time to Second-Line ART Switch in the IeDEA Pediatric Cohort.

Authors:  Kara Wools-Kaloustian; Irene Marete; Samuel Ayaya; Annette H Sohn; Lam Van Nguyen; Shanshan Li; Valériane Leroy; Beverly S Musick; Jamie E Newman; Andrew Edmonds; Mary-Ann Davies; François T Eboua; Marie-Thérèse Obama; Marcel Yotebieng; Shobna Sawry; Lynne M Mofenson; Constantin T Yiannoutsos
Journal:  J Acquir Immune Defic Syndr       Date:  2018-06-01       Impact factor: 3.731

10.  Immunologic Pathways That Predict Mortality in HIV-Infected Ugandans Initiating Antiretroviral Therapy.

Authors:  Sulggi Lee; Helen Byakwaga; Yap Boum; Tricia H Burdo; Kenneth C Williams; Michael M Lederman; Yong Huang; Russell P Tracy; Huyen Cao; Jessica E Haberer; Annet Kembabazi; David R Bangsberg; Jeffrey N Martin; Peter W Hunt
Journal:  J Infect Dis       Date:  2017-04-15       Impact factor: 5.226

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