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. 2018 Oct 15:31:114.
doi: 10.11604/pamj.2018.31.114.16725. eCollection 2018.

Predictors of post neonatal mortality in Western Kenya: a cohort study

Affiliations

Predictors of post neonatal mortality in Western Kenya: a cohort study

Grace Kaguthi et al. Pan Afr Med J. .

Abstract

Introduction: to determine the predictors of mortality in infants in Siaya, western Kenya, ahead of novel tuberculosis (TB) vaccine trials in the same population.

Methods: in a study to determine tuberculosis incidence, 2900 infants aged 0-45 days, weighing ≥ 1700g were enrolled. Four monthly follow up visits were conducted for at least 12 months. HIV testing was done at six weeks of age. Free ancillary care was provided. Deaths were reported by parents, study staff and community workers. Cox proportional Hazard analysis was used to identify risk factors. The period of analysis commenced at six weeks old and was censored at 12 months of age.

Results: included in the analysis were 2528 infants with 2020 person years of follow up (pyo). There were 117 deaths (4.6 %). The post-neonatal mortality rate was 58 (95% CI: 48, 69) per 1000 pyo. In multivariate analysis, health facility births were protective against mortality (Hazard Ratio (HR) 0.54; 95% CI: 0.34, 0.84) and infant HIV infection at baseline was associated with increased mortality (HR 10.3; 95% CI: 6.40, 16.7). HIV uninfected infants born to HIV infected mothers had increased hazards of mortality (HR 1.73; 95% CI: 1.03, 2.90). Gender, weight at six weeks, maternal education and occupation were not significant predictors of mortality.

Conclusion: infant mortality was high and was associated with being born outside a health facility, maternal HIV infection and HIV infection of the infant. Measures to decrease mother to child transmission and other HIV control measures need to be strengthened further to see incremental reductions in infant mortality.

Keywords: Mortality; infant; post-neonatal; tuberculosis; vaccine.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
immediate causes of death (n = 88/117)
Figure 2
Figure 2
underlying causes of death (n = 110/117)

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