Loss to Follow-Up as a Competing Risk in an Observational Study of HIV-1 Incidence

PLoS ONE

Volumn 8, Issue 3, 2013, Pages

  Graham, Susan M ^a,b   Raboud, Janet ^c,d   McClelland, R Scott ^a,b   Jaoko, Walter ^b   Ndinya Achola, Jeckoniah ^b   Mandaliya, Kishor ^e   Overbaugh, Julie ^f   Bayoumi, Ahmed M ^g,h  

^a UNIVERSITY OF WASHINGTON   (United States)

^b UNIVERSITY OF NAIROBI   (Kenya)

^c UNIVERSITY OF TORONTO   (Canada)

^d UNIVERSITY HEALTH NETWORK   (Canada)

^e PathCare ^*  (Kenya)

^f USA   (United States)

^g ST MICHAEL'S HOSPITAL   (Canada)

^h UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ATTITUDE TO HEALTH; CLINICAL ASSESSMENT; DISEASE ASSOCIATION; DISEASE SURVEILLANCE; FEMALE; FOLLOW UP; HIGH RISK BEHAVIOR; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1 INFECTION; INFECTION RISK; MAJOR CLINICAL STUDY; OBSERVATIONAL STUDY; PROSTITUTION; RISK ASSESSMENT; SELF REPORT; SEXUAL BEHAVIOR; UNSAFE SEX; WOMEN'S HEALTH;

ADULT; COHORT STUDIES; FEMALE; HIV INFECTIONS; HIV-1; HUMANS; INCIDENCE; LOST TO FOLLOW-UP; REGRESSION ANALYSIS; RISK; RISK-TAKING; SEX WORKERS; SEXUAL BEHAVIOR; YOUNG ADULT;

EID: 84874855483     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0059480     Document Type: Article

References (35)

1. Martin HL Jr, Jackson DJ, Mandaliya K, Bwayo J, Rakwar JP, et al. (1994) Preparation for AIDS vaccine evaluation in Mombasa, Kenya: establishment of seronegative cohorts of commercial sex workers and trucking company employees. AIDS Res Hum Retroviruses 10: S235-S237.
2. van Loggerenberg F, Mlisana K, Williamson C, Auld SC, Morris L, et al. (2008) Establishing a cohort at high risk of HIV infection in South Africa: challenges and experiences of the CAPRISA 002 acute infection study. PLoS One 3: e1954.
3. Richter LM, Panday S, Norris SA, (2009) Factors influencing enrollment: a case study from Birth to Twenty, the 1990 birth cohort in Soweto-Johannesburg. Eval Program Plann 32: 197-203.
4. Kristman VL, Manno M, Cote P, (2005) Methods to account for attrition in longitudinal data: do they work? A simulation study. Eur J Epidemiol 20: 657-662.
5. Kreiss J, Ngugi E, Holmes K, Ndinya-Achola J, Waiyaki P, et al. (1992) Efficacy of nonoxynol 9 contraceptive sponge use in preventing heterosexual acquisition of HIV in Nairobi prostitutes. JAMA 268: 477-482.
6. McClelland RS, Richardson BA, Hassan WM, Chohan V, Lavreys L, et al. (1992) Improvement of vaginal health for Kenyan women at risk for acquisition of human immunodeficiency virus type 1: results of a randomized trial. J Infect Dis 197: 1361-1368.
7. Lavreys L, Thompson ML, Martin HL Jr, Mandaliya K, Ndinya-Achola JO, (2000) Primary human immunodeficiency virus type 1 infection: clinical manifestations among women in Mombasa, Kenya. Clin Infect Dis 30: 486-490.
8. Lavreys L, Baeten JM, Overbaugh J, Panteleeff DD, Chohan BH, et al. (2002) Virus load during primary Human Immunodeficiency Virus (HIV) type 1 infection is related to the severity of acute HIV illness in Kenyan women. Clin Infect Dis 35: 77-81.
9. Chohan V, Baeten JM, Benki S, Graham SM, Lavreys L, et al. (2009) A prospective study of risk factors for herpes simplex virus type 2 acquisition among high-risk HIV-1 seronegative women in Kenya. Sex Transm Infect 85: 489-492.
10. Nugent RP, Krohn MA, Hillier SL, (1991) Reliability of diagnosing bacterial vaginosis is improved by a standardized method of gram stain interpretation. J Clin Microbiol 29: 297-301.
11. Lavreys L, Baeten JM, Kreiss JK, Richardson BA, Chohan BH, et al. (2004) Injectable contraceptive use and genital ulcer disease during the early phase of HIV-1 infection increase plasma virus load in women. J Infect Dis 189: 303-311.
12. Chi BH, Cantrell RA, Mwango A, Westfall AO, Mutale W, et al. (2010) An empirical approach to defining loss to follow-up among patients enrolled in antiretroviral treatment programs. Am J Epidemiol 171: 924-931.
13. Fine JP, Gray RJ, (1999) A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 94: 496-509.
14. Coviello V, Boggess M, (2004) Cumulative incidence estimation in the presence of competing risks. Stata Journal 4: 103-112.
15. Cole SR, Hudgens MG, (2010) Survival analysis in infectious disease research: describing events in time. AIDS 24: 2423-2431.
16. Kim HT, (2007) Cumulative incidence in competing risks data and competing risks regression analysis. Clin Cancer Res 13: 559-565.
17. Tan DH, Chan K, Raboud J, Cooper C, Montaner JS, et al. (2011) Comparison of abacavir/lamivudine and tenofovir/emtricitabine among treatment-naïve HIV-infected patients initiating therapy. J Acquir Immune Defic Syndr 58: 38-46.
18. Schöni-Affolter F, Keiser O, Mwango A, Stringer J, Ledergerber B, et al. (2011) Estimating loss to follow-up in HIV-infected patients on antiretroviral therapy: the effect of the competing risk of death in Zambia and Switzerland. PLoS One 6: e27919.
19. Wandeler G, Keiser O, Pfeiffer K, Pestilli S, Fritz C, et al. (2012) Outcomes of antiretroviral treatment programs in rural southern Africa. J Acquir Immune Defic Syndr 59: e9-e16.
20. Weigel R, Estill J, Egger M, Harries AD, Makombe S, et al. (2012) Mortality and loss to follow-up in the first year of ART: Malawi national ART programme. AIDS 26: 365-373.
21. Putter H, Fiocco M, Geskus RB, (2007) Tutorial in biostatistics: competing risks and multi-state models. Stat Med 26: 2389-2430.
22. Pepe MS, Mori M, (1993) Kaplan-Meier, marginal or conditional probability curves in summarizing competing risks failure time data? Stat Med 12: 737-751.
23. Hargreaves JR, Glynn JR, (2002) Educational atttainment and HIV-1 infection in developing countries: a systematic review. Trop Med Int Health 7: 489-498.
24. McClelland RS, Lavreys L, Hassan WM, Mandaliya K, Ndinya-Achola JO, et al. (2006) Vaginal washing and increased risk of HIV-1 acquisition among African women: a 10-year prospective study. AIDS 20: 269-273.
25. Lavreys L, Baeten JM, Martin HL Jr, Overbaugh J, Mandaliya K, et al. (2004) Hormonal contraception and risk of HIV-1 acquisition: results of a 10-year prospective study. AIDS 18: 695-697.
26. Baeten JM, Benki S, Chohan V, Lavreys L, McClelland RS, et al. (2007) Hormonal contraceptive use, herpes simplex virus infection, and risk of HIV-1 acquisition among Kenyan women. AIDS 21: 1771-1777.
27. Hoffmann O, Zaba B, Wolff B, Sanga E, Maboko L, et al. (2004) Methodological lessons from a cohort study of high risk women in Tanzania. Sex Transm Infect 80: ii69-ii73.
28. Yiannoutsos CT, An MW, Frangakis CE, Musick BS, Braitstein P, et al. (2008) Sampling-based approaches to improve estimation of mortality among patient dropouts: experience from a large PEPFAR-funded program in Western Kenya. PLoS One 3: e3843.
29. Geng EH, Emenyonu N, Bwana MB, Glidden DV, Martin JN, (2008) Sampling-based approach to determining outcomes of patients lost to follow-up in antiretroviral therapy scale-up programs in Africa. JAMA 300: 506-507.
30. Egger M, Spycher BC, Sidle J, Weigel R, Geng EH, et al. (2011) Correcting mortality for loss to follow-up: a nomogram applied to antiretroviral treatment programmes in sub-Saharan Africa. PLoS Med 8: e1000390.
31. Brinkhof MW, Pujades-Rodriguez M, Egger M, (2009) Mortality of patients lost to follow-up in antiretroviral treatment programs in resource-limited settings: systematic review and meta-analysis. PLoS One 4: 35790.
32. Corbett AM, Dickson-Gomez J, Hilario H, Weeks MR, (2009) A little thing called love: condom use in high-risk primary heterosexual relationships. Perspect Sex Reprod Health 41: 218-224.
33. Minnis AM, Steiner MJ, Gallo MF, Warner L, Hobbs MM, et al. (2009) Biomarker validation of reports of recent sexual activity: results of a randomized controlled study in Zimbabwe. Am J Epidemiol 170: 918-924.
34. McClelland RS, Sangare L, Hassan WM, Lavreys L, Mandaliya K, et al. (2007) Infection with Trichomonas vaginalis increases the risk of HIV-1 acquisition. J Infect Dis 195: 698-702.
35. McClelland RS, Richardson BA, Wanje GH, Graham SM, Mutunga E, et al. (2011) Association between participant self-report and biological outcomes used to measure sexual risk behavior in human immunodeficiency virus-1-seropositive female sex workers in Mombasa, Kenya. Sex Transm Dis 38: 429-433.