Predictors of Mortality and Mortality Rate in a Cohort of Children Living with HIV from India

G N Sanjeeva1,2, Pooja Gujjal Chebbi3, H B Pavithra4

  • 1Department of Pediatrics, Indira Gandhi Institute of Child Health, South Hospital Complex, Dharmaram College Post, Bangalore, 560 029, Karnataka, India. sanju_gn@rediffmail.com.

Insights

Mortality in children with HIV in India was 4.9/100 child-years, with tuberculosis as a leading cause. Younger age and advanced disease stages predicted mortality in this cohort.

Area of Science:

  • Pediatric Infectious Diseases
  • HIV/AIDS Research
  • Clinical Epidemiology

Background:

  • Children Living with Human Immunodeficiency Virus infection (CLHIV) require ongoing monitoring for mortality predictors.
  • Understanding mortality rates and associated factors is crucial for improving care in pediatric HIV cohorts.

Purpose of the Study:

  • To determine the mortality rate in a clinical cohort of Indian CLHIV.
  • To identify predictors of mortality among these children.

Main Methods:

  • Retrospective cohort analysis of 834 CLHIV (aged 2 months to 18 years) registered between 2004-2014.
  • Data collected included demographic, clinical, and immunological characteristics.
  • Mortality, causes of death, and baseline predictors were analyzed using Cox regression.

Main Results:

  • The overall mortality rate was 4.9 per 100 child-years.
  • Higher mortality was observed in children under 5 years (28.2%), advanced WHO clinical stages (38.6%), severe immunosuppression (35.2%), and severe malnutrition (22.3%).
  • Tuberculosis caused 28% of deaths; younger age, advanced clinical/immunological staging, and malnutrition predicted mortality.

Conclusions:

  • The mortality rate in this Indian CLHIV cohort was 4.9/100 child-years, with tuberculosis being the primary cause of death.
  • Younger age and advanced clinical and immunological staging were significant predictors of mortality.
  • While pre-antiretroviral therapy (ART) children had higher mortality, treatment status was not an independent predictor.
Abstract

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