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

The Lancet HIV

Volumn 2, Issue 3, 2015, Pages e107-e116

  Geng, Elvin H ^a,h   Odeny, Thomas A ^b,h   Lyamuya, Rita E ^c,h   Nakiwogga Muwanga, Alice ^d,h   Diero, Lameck ^e,h   Bwana, Mwebesa ^f,h   Muyindike, Winnie ^f,h   Braitstein, Paula ^e,g,h   Somi, Geoffrey R ^c,h   Kambugu, Andrew ^d,h   Bukusi, Elizabeth A ^b,h   Wenger, Megan ^a,h   Wools Kaloustian, Kara K ^g,h   Glidden, David V ^a,h   Yiannoutsos, Constantin T ^g,h   Martin, Jeffrey N ^a,h  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b KENYA MEDICAL RESEARCH INSTITUTE   (Kenya)

^c National AIDS Control Program   (Tanzania)

^d MAKERERE UNIVERSITY   (Uganda)

^e MOI UNIVERSITY   (Kenya)

^f MBARARA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Uganda)

^g INDIANA UNIVERSITY   (United States)

^h East Africa International Epidemiologic Databases to Evaluate AIDS (EA IeDEA) Consortium   (Kenya)

Author keywords

[No Author keywords available]

Indexed keywords

EFAVIRENZ; NEVIRAPINE; STAVUDINE; TENOFOVIR; ZIDOVUDINE; ANTI HUMAN IMMUNODEFICIENCY VIRUS AGENT;

ADULT; AFRICA; ARTICLE; CD4 LYMPHOCYTE COUNT; COHORT ANALYSIS; FEMALE; FOLLOW UP; HIGHLY ACTIVE ANTIRETROVIRAL THERAPY; HIV RAPID TEST; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MAJOR CLINICAL STUDY; MALE; MORTALITY; MULTICENTER STUDY; OBSERVATIONAL STUDY; PREGNANT WOMAN; PRIORITY JOURNAL; PUBLIC HEALTH; RISK ASSESSMENT; TREATMENT OUTCOME; CLINICAL TRIAL; HIV INFECTIONS; IMMUNOLOGY; INFORMATION PROCESSING; KENYA; PROCEDURES; TANZANIA; UGANDA; UNITED STATES; YOUNG ADULT;

ADULT; ANTI-HIV AGENTS; ANTIRETROVIRAL THERAPY, HIGHLY ACTIVE; CD4 LYMPHOCYTE COUNT; COHORT STUDIES; DATA COLLECTION; FEMALE; HIV INFECTIONS; HUMANS; KENYA; MALE; SAMPLING STUDIES; TANZANIA; UGANDA; UNITED STATES; YOUNG ADULT;

EID: 84925454281     PISSN: None     EISSN: 23523018     Source Type: Journal    
DOI: 10.1016/S2352-3018(15)00002-8     Document Type: Article

References (44)

1. Global Report: UNAIDS Report on the Global AIDS Epidemic 2013 UNAIDS, (acessed July 7, 2014). http://www.unaids.org/en/media/unaids/contentassets/documents/epidemiology/2013/gr2013/UNAIDS_Global_Report_2013_en.pdf.
2. Hardon AP, Akurut D, Comoro C, et al. Hunger, waiting time and transport costs: time to confront challenges to ART adherence in Africa. AIDS Care 2007, 19:658-665.
3. Tuller DM, Bangsberg DR, Senkungu J, Ware NC, Emenyonu N, Weiser SD Transportation costs impede sustained adherence and access to HAART in a clinic population in southwestern Uganda: a qualitative study. AIDS Behav 2010, 14:778-784.
4. Kemp JR, Mann G, Simwaka BN, Salaniponi FM, Squire SB Can Malawi's poor afford free tuberculosis services? Patient and household costs associated with a tuberculosis diagnosis in Lilongwe. Bull World Health Organ 2007, 85:580-585.
5. Wanyenze RK, Wagner G, Alamo S, et al. Evaluation of the efficiency of patient flow at three HIV clinics in Uganda. AIDS Patient Care STDs 2010, 24:441-446.
6. Tsai AC, Bangsberg DR, Frongillo EA, et al. Food insecurity, depression and the modifying role of social support among people living with HIV/AIDS in rural Uganda. Soc Sci Med 2012, 74:2012-2019.
7. Marazzi MC, Liotta G, Germano P, et al. Excessive early mortality in the first year of treatment in HIV type 1-infected patients initiating antiretroviral therapy in resource-limited settings. AIDS Res Hum Retroviruses 2008, 24:555-560.
8. Bisson GP, Gaolathe T, Gross R, et al. Overestimates of survival after HAART: implications for global scale-up efforts. PLoS One 2008, 3:e1725.
9. Wools-Kaloustian K, Kimaiyo S, Diero L, et al. Viability and effectiveness of large-scale HIV treatment initiatives in sub-Saharan Africa: experience from western Kenya. AIDS 2006, 20:41-48.
10. Fox MP, Rosen S Patient retention in antiretroviral therapy programs up to three years on treatment in sub-Saharan Africa, 2007-2009: systematic review. Trop Med Int Health 2010, 15:1-16.
11. Rosen S, Fox MP Retention in HIV care between testing and treatment in sub-Saharan Africa: a systematic review. PLoS Med 2011, 8:e1001056.
12. Rosen S, Fox MP, Gill CJ Patient retention in antiretroviral therapy programs in sub-Saharan Africa: a systematic review. PLoS Med 2007, 4:e298.
13. Braitstein P, Brinkhof MW, Dabis F, et al. Mortality of HIV-1-infected patients in the first year of antiretroviral therapy: comparison between low-income and high-income countries. Lancet 2006, 367:817-824.
14. Walker AS, Prendergast AJ, Mugyenyi P, et al. Mortality in the year following antiretroviral therapy initiation in HIV-infected adults and children in Uganda and Zimbabwe. Clin Infect Dis 2012, 55:1707-1718.
15. World AIDS day report 2012 UNAIDS, (accessed July 1, 2013). http://www.unaids.org/sites/default/files/media_asset/JC2434_WorldAIDSday_results_en_1.pdf.
16. Geng EH, Emenyonu N, Bwana MB, Glidden DV, Martin JN Sampling-based approach to determining outcomes of patients lost to follow-up in antiretroviral therapy scale-up programs in Africa. JAMA 2008, 300:506-507.
17. Yiannoutsos CT, An MW, Frangakis CE, et al. Sampling-based approaches to improve estimation of mortality among patient dropouts: experience from a large PEPFAR-funded program in Western Kenya. PLoS One 2008, 3:e3843.
18. Geng EH, Bangsberg DR, Musinguzi N, et al. Tracking a sample of patients lost to follow-up has a major impact on understanding determinants of survival in HIV-infected patients on antiretroviral therapy in Africa. Trop Med Int Health 2010, 15:71-77.
19. Namusobya J, Semitala FC, Amanyire G, et al. High retention in care among HIV-infected patients entering care with CD4 levels >350 cells/μL under routine program conditions in Uganda. Clin Infect Dis 2013, 57:1343-1350.
20. Gilks CF, Crowley S, Ekpini R, et al. The WHO public-health approach to antiretroviral treatment against HIV in resource-limited settings. Lancet 2006, 368:505-510.
21. Geng EH, Bangsberg DR, Musinguzi N, et al. Understanding reasons for and outcomes of patients lost to follow-up in antiretroviral therapy programs in Africa through a sampling-based approach. J Acquir Immune Defic Syndr 2010, 53:405-411.
22. Cleves M, Gould W, Gutierrez R An introduction to survival analysis using Stata 2008, Stata Press.
23. Geng EH, Muyindike W, Glidden DV, et al. Failure to initiate ART, loss to follow-up and mortality among HIV-infected patients during the pre-ART period in Uganda: understanding engagement in care in resource limited settings. Conference on Retroviruses and Opportunistic Infections; Feb 21-March 2, 2011; Boston, MA, USA.
24. Coviello V, Boggess M Cumulative incidence estimation in the presence of competing risks. Stata J 2004, 4:103-112.
25. Prentice RL, Kalbfleisch JD, Peterson AV, Flournoy N, Farewell VT, Breslow NE The analysis of failure times in the presence of competing risks. Biometrics 1978, 34:541-554.
26. Satagopan JM, Ben-Porat L, Berwick M, Robson M, Kutler D, Auerbach AD A note on competing risks in survival data analysis. Br J Cancer 2004, 91:1229-1235.
27. Schafer JL, Graham JW Missing data: our view of the state of the art. Psychol Methods 2002, 7:147-177.
28. Boulle A, Schomaker M, May MT, et al. Mortality in patients with HIV-1 infection starting antiretroviral therapy in South Africa, Europe, or North America: a collaborative analysis of prospective studies. PLoS Med 2014, 11:e1001718.
29. Zwahlen M, Harris R, et al. Mortality of HIV-infected patients starting potent antiretroviral therapy: comparison with the general population in nine industrialized countries. Int J Epidemiol 2011, 38:1624-1633. Antiretroviral Therapy Cohort Collaboration.
30. Sudfeld CR, Isanaka S, Mugusi FM, et al. Weight change at 1 mo of antiretroviral therapy and its association with subsequent mortality, morbidity, and CD4 T cell reconstitution in a Tanzanian HIV-infected adult cohort. Am J Clin Nutr 2013, 97:1278-1287.
31. Kabali C, Mtei L, Brooks DR, et al. Increased mortality associated with treated active tuberculosis in HIV-infected adults in Tanzania. Tuberculosis (Edinb) 2013, 93:461-466.
32. Matthews LT, Kaida A, Kanters S, et al. HIV-infected women on antiretroviral treatment have increased mortality during pregnant and postpartum periods. AIDS 2013, 27:S105-S112.
33. Johannessen A, Naman E, Ngowi BJ, et al. Predictors of mortality in HIV-infected patients starting antiretroviral therapy in a rural hospital in Tanzania. BMC Infect Dis 2008, 8:52.
34. Somi G, Keogh S, Todd J, et al. Low mortality risk but high loss to follow-up among patients in the Tanzanian national HIV care and treatment programme. Trop Med Int Health 2012, 17:497-506.
35. Shift toward Partner- Country Treatment Programs Will Require Better Information on Results US Government Accountability Office, (accessed Nov 11, 2014). http://www.gao.gov/products/GAO-13-460.
36. Barton A Ambassador Deborah Birx on viral load testing, young women, South Africa, and the T word. Science Speaks (accessed May 29, 2014). http://sciencespeaksblog.org/2014/05/29/ambassador-deborah-birx-on-viral-load-testing-young-women-south-africa-and-the-t-word/.
37. Egger M. Correcting mortality for loss to follow up: a graphical approach applied to ART programmes in resource-limited settings. 5th IAS Conference on HIV Pathogenesis and Treatment; July 19-22, 2009; Cape Town, South Africa. Abs WEPED173.
38. Robins JM, Finkelstein DM Correcting for noncompliance and dependent censoring in an AIDS Clinical Trial with inverse probability of censoring weighted (IPCW) log-rank tests. Biometrics 2000, 56:779-788.
39. Brinkhof MW, Pujades-Rodriguez M, Egger M Mortality of patients lost to follow-up in antiretroviral treatment programmes in resource-limited settings: systematic review and meta-analysis. PLoS One 2009, 4:e5790.
40. Geng EH, Glidden DV, Bangsberg DR, et al. 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. Am J Epidemiol 2012, 175:1080-1087.
41. Cornell M, Grimsrud A, Fairall L, et al. Temporal changes in programme outcomes among adult patients initiating antiretroviral therapy across South Africa, 2002-2007. AIDS 2010, 24:2263.
42. Heiby J The use of modern quality improvement approaches to strengthen African health systems: a 5-year agenda. Int J Qual Health Care 2014, 26:117-123.
43. Michie S, van Stralen MM, West R The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci 2011, 6:42.
44. Proctor EK, Powell BJ, McMillen JC Implementation strategies: recommendations for specifying and reporting. Implement Sci 2013, 8:139.