Email updates

Keep up to date with the latest news and content from BMC Infectious Diseases and BioMed Central.

Open Access Highly Accessed Research article

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

Asgeir Johannessen1*, Ezra Naman2, Bernard J Ngowi23, Leiv Sandvik4, Mecky I Matee5, Henry E Aglen6, Svein G Gundersen67 and Johan N Bruun1

Author Affiliations

1 Department of Infectious Diseases, Ulleval University Hospital, Oslo, Norway

2 HIV Care and Treatment Centre, Haydom Lutheran Hospital, Mbulu, Tanzania

3 Centre for International Health, University of Bergen, Bergen, Norway

4 Centre for Clinical Research, Ulleval University Hospital, Oslo, Norway

5 Department of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania

6 Research Unit, Sorlandet Hospital HF, University of Agder, Kristiansand, Norway

7 Faculty for Health and Sports, University of Agder, Kristiansand, Norway

For all author emails, please log on.

BMC Infectious Diseases 2008, 8:52  doi:10.1186/1471-2334-8-52

Published: 22 April 2008

Abstract

Background

Studies of antiretroviral therapy (ART) programs in Africa have shown high initial mortality. Factors contributing to this high mortality are poorly described. The aim of the present study was to assess mortality and to identify predictors of mortality in HIV-infected patients starting ART in a rural hospital in Tanzania.

Methods

This was a cohort study of 320 treatment-naïve adults who started ART between October 2003 and November 2006. Reliable CD4 cell counts were not available, thus ART initiation was based on clinical criteria in accordance with WHO and Tanzanian guidelines. Kaplan-Meier models were used to estimate mortality and Cox proportional hazards models to identify predictors of mortality.

Results

Patients were followed for a median of 10.9 months (IQR 2.9–19.5). Overall, 95 patients died, among whom 59 died within 3 months of starting ART. Estimated mortality was 19.2, 29.0 and 40.7% at 3, 12 and 36 months, respectively. Independent predictors of mortality were severe anemia (hemoglobin <8 g/dL; adjusted hazard ratio [AHR] 9.20; 95% CI 2.05–41.3), moderate anemia (hemoglobin 8–9.9 g/dL; AHR 7.50; 95% CI 1.77–31.9), thrombocytopenia (platelet count <150 × 109/L; AHR 2.30; 95% CI 1.33–3.99) and severe malnutrition (body mass index <16 kg/m2; AHR 2.12; 95% CI 1.06–4.24). Estimated one year mortality was 55.2% in patients with severe anemia, compared to 3.7% in patients without anemia (P < 0.001).

Conclusion

Mortality was found to be high, with the majority of deaths occurring within 3 months of starting ART. Anemia, thrombocytopenia and severe malnutrition were strong independent predictors of mortality. A prognostic model based on hemoglobin level appears to be a useful tool for initial risk assessment in resource-limited settings.