Factors associated with attrition, mortality, and loss to follow up after antiretroviral therapy initiation: data from an HIV cohort study in India

Gerardo Alvarez-Uria, Praveen K Naik, Raghavakalyan Pakam, Manoranjan Midde, Gerardo Alvarez-Uria, Praveen K Naik, Raghavakalyan Pakam, Manoranjan Midde

Abstract

Background: Studies from sub-Saharan Africa have shown high incidence of attrition due to mortality or loss to follow-up (LTFU) after initiating antiretroviral therapy (ART). India is the third largest country in the world in terms of HIV infected people, but predictors of attrition after ART initiation are not well known.

Design: We describe factors associated with attrition, mortality, and LTFU in 3,159 HIV infected patients who initiated ART between 1 January 2007 and 4 November 2011 in an HIV cohort study in India. The study included 6,852 person-years with a mean follow-up of 2.17 years.

Results: After 5 years of follow-up, the estimated cumulative incidence of attrition was 37.7%. There was no significant difference between attrition due to mortality and attrition due to LTFU. Having CD4 counts <100 cells/µl and being homeless [adjusted hazard ratio (aHR) 3.1, 95% confidence interval (CI) 2.6-3.8] were associated with a higher risk of attrition, and female gender (aHR 0.64, 95% CI 0.6-0.8) was associated with a reduced risk of attrition. Living near a town (aHR 0.82, 95% CI 0.7-0.999) was associated with a reduced risk of mortality. Being single (aHR 1.6, 95% CI 1.2-2.3), illiteracy (aHR 1.3, 95% CI 1.1-1.6), and age <25 years (aHR 1.3, 95% CI 1-1.8) were associated with an increased risk of LTFU. Although the cumulative incidence of attrition in patients diagnosed with tuberculosis after ART initiation was 47.4%, patients who started anti-tuberculous treatment before ART had similar attrition to patients without tuberculosis (36 vs. 35.2%, P=0.19) after four years of follow-up.

Conclusions: In this cohort study, the attrition was similar to the one found in sub-Saharan Africa. Earlier initiation of ART, improving the diagnosis of tuberculosis before initiating ART, and giving more support to those patients at higher risk of attrition could potentially reduce the mortality and LTFU after ART initiation.

Keywords: attrition; developing countries; highly active antiretroviral therapy; lost to follow up; mortality; rural health.

Figures

Fig. 1
Fig. 1
Stacked graph of the status of HIV patients since antiretroviral therapy (ART) initiation.
Fig. 2
Fig. 2
Cumulative incidence of (A) mortality and loss to follow up, (B) attrition by CD4 lymphocyte count, (C) mortality by CD4 lymphocyte count, and (D) loss to follow up by CD4 lymphocyte count.
Fig. 3
Fig. 3
(A) Attrition, (B) mortality, and (C) loss to follow up by the timing of tuberculosis diagnosis. ART, antiretroviral therapy; TB, tuberculosis.
Fig. 4
Fig. 4
Cox regression analysis of factors associated with attrition (mortality or loss to follow up), mortality, and loss to follow up. *P value <0.05. aHR, adjusted hazard ratio by Cox regression analysis; ART, antiretroviral therapy; ATT, anti-tuberculous treatment; CI, confidence interval; LTFU, loss to follow up.

References

    1. UNAIDS. UNAIDS report on the global AIDS epidemic. 2012. Available from: [cited 5 Dec 2012]
    1. Eaton JW, Johnson LF, Salomon JA, Bärnighausen T, Bendavid E, Bershteyn A, et al. HIV treatment as prevention: systematic comparison of mathematical models of the potential impact of antiretroviral therapy on HIV incidence in South Africa. PLoS Med. 2012;9:e1001245.
    1. National AIDS Control Organisation, India. HIV estimates 2012. Technical Report. 2013. Available from: [cited 22 Jul 2013]
    1. Dandona L, Lakshmi V, Sudha T, Kumar GA, Dandona R. A population-based study of human immunodeficiency virus in south India reveals major differences from sentinel surveillance-based estimates. BMC Med. 2006;4:31.
    1. Perkins JM, Khan KT, Subramanian SV. Patterns and distribution of HIV among adult men and women in India. PLoS One. 2009;4:e5648.
    1. Alvarez-Uria G, Midde M, Pakam R, Naik PK. Gender differences, routes of transmission, socio-demographic characteristics and prevalence of HIV related infections of adults and children in an HIV cohort from a rural district of India. Infect Dis Rep. 2012;4:e19.
    1. Alvarez-Uria G, Midde M, Naik PK. Trends and risk factors for HIV infection among young pregnant women in rural India. Int J Infect Dis. 2012;16:e121–3.
    1. National AIDS Control Organisation. Annual Report 2012–13. 2013. Available from: [cited 22 Jul 2013]
    1. 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(Suppl 1):1–15.
    1. Sharma SK, Dhooria S, Prasad K, George N, Ranjan S, Gupta D, et al. Outcomes of antiretroviral therapy in a northern Indian urban clinic. Bull World Health Organ. 2010;88:222–6.
    1. India: Office of the Registrar General & Census Commissioner; 2011. Census of India.
    1. National AIDS Control Organisation. HIV sentinel surveillance 2010–11. A Technical Brief. 2012. Available from: [cited 21 Jan 2013]
    1. National AIDS Control Organisation. Ministry of Health & Family Welfare Government of India. Antiretroviral therapy guidelines for HIV infected adults and adolescents including post-exposure. 2007 Available from: [cited 1 Sep 2011]
    1. Panos. Antiretroviral drugs for all? Obstacles in accessing treatment lessons from India. 2007. Available from: [cited 27 May 2012]
    1. WHO. Antiretroviral therapy for HIV infection in adults and adolescents. 2006. Available from: [cited 27 May 2012]
    1. Gang IN, Sen K, Yun MS. Bonn, Germany: IZA; 2002. Caste, ethnicity, and poverty in rural India.
    1. Alvarez-Uria G, Midde M, Naik PK. Socio-demographic risk factors associated with HIV infection in patients seeking medical advice in a rural hospital of India. J Public health Res. 2012;1:e14.
    1. Chi BH, Yiannoutsos CT, Westfall AO, Newman JE, Zhou J, Cesar C, et al. Universal definition of loss to follow-up in HIV treatment programs: a statistical analysis of 111 facilities in Africa, Asia, and Latin America. PLoS Med. 2011;8:e1001111.
    1. Kleinbaum DG, Klein M. Second. New York, USA: Springer; 2005. Survival analysis, a self-learning text.
    1. Royston P. Multiple imputation of missing values: further update of ice, with an emphasis on categorical variables. Stata J. 2009;9:466–77.
    1. Coviello V, Boggess M. Cumulative incidence estimation in the presence of competing risks. Stata J. 2004;4:103–12.
    1. Fatti G, Meintjes G, Shea J, Eley B, Grimwood A. Improved survival and antiretroviral treatment outcomes in adults receiving community-based adherence support: 5-year results from a multicentre cohort study in South Africa. J Acquir Immune Defic Syndr. 2012;61:e50–8.
    1. Fregonese F, Collins IJ, Jourdain G, Lecoeur S, Cressey TR, Ngo-Giang-Houng N, et al. Predictors of 5-year mortality in HIV-infected adults starting highly active antiretroviral therapy in Thailand. J Acquir Immune Defic Syndr. 2012;60:91–8.
    1. Zhu H, Napravnik S, Eron J, Cole S, Ma Y, Wohl D, et al. Attrition among human immunodeficiency virus (HIV) – infected patients initiating antiretroviral therapy in China, 2003–2010. PLoS One. 2012;7:e39414.
    1. National AIDS Control Organisation. Operational guidelines for ART services. 2012. Available from: [cited 22 Jul 2013]
    1. World Health Organization. Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection. 2013. Available from: [cited 20 Jul 2013]
    1. Alvarez-Uria G, Midde M, Pakam R, Kannan S, Bachu L, Naik PK. Factors associated with late presentation of HIV and estimation of antiretroviral treatment need according to CD4 lymphocyte count in a resource-limited setting: data from an HIV cohort study in India. Interdiscip Perspect Infect Dis. 2012;2012:293795.
    1. Alvarez-Uria G. Factors associated with delayed entry into HIV medical care after HIV diagnosis in a resource-limited setting: data from a cohort study in India. Peer J. 2013;1:e90.
    1. Boyles TH, Wilkinson LS, Leisegang R, Maartens G. Factors influencing retention in care after starting antiretroviral therapy in a rural South African programme. PLoS One. 2011;6:e19201.
    1. Brinkhof MWG, 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.
    1. Ware NC, Wyatt MA, Geng EH, Kaaya SF, Agbaji OO, Muyindike WR, et al. Toward an understanding of disengagement from HIV treatment and care in sub-Saharan Africa: a qualitative study. PLoS Med. 2013;10:e1001369.
    1. Franke MF, Kaigamba F, Socci AR, Hakizamungu M, Patel A, Bagiruwigize E, et al. Improved retention associated with community-based accompaniment for antiretroviral therapy delivery in rural Rwanda. Clin Infect Dis. 2013;56:1319–26.
    1. Bagchi S. Telemedicine in rural India. PLoS Med. 2006;3:e82.
    1. Srikantiah P, Ghidinelli M, Bachani D, Chasombat S, Daoni E, Mustikawati DE, et al. Scale-up of national antiretroviral therapy programs: progress and challenges in the Asia Pacific region. AIDS. 2010;24(Suppl 3):S62–71.
    1. Alvarez-Uria G, Naik PK, Pakam R, Bachu L, Midde M. Natural history and factors associated with early and delayed mortality in HIV infected patients treated of tuberculosis under directly observed treatment short course (DOTS) strategy: a prospective cohort study in India. Interdiscip Perspect Infect Dis. 2012;2012:502012.
    1. Koenig SP, Riviere C, Leger P, Joseph P, Severe P, Parker K, et al. High mortality among patients with AIDS who received a diagnosis of tuberculosis in the first 3 months of antiretroviral therapy. Clin Infect Dis. 2009;48:829–31.
    1. Wubshet M, Berhane Y, Worku A, Kebede Y. Death and seeking alternative therapy largely accounted for lost to follow-up of patients on ART in northwest Ethiopia: a community tracking survey. PLoS One. 2013;8:e59197.

Source: PubMed

3
Se inscrever