Death audit in the neonatal ICU of a tertiary care hospital in Bangladesh: a retrospective chart review

J Matern Fetal Neonatal Med. 2019 Mar;32(5):776-780. doi: 10.1080/14767058.2017.1391779. Epub 2017 Oct 26.

Abstract

Background: Expectant reduction of neonatal mortality and formulation of preventive strategies can only be achieved by analysis of risk factors in a particular setting. This study aimed to document incidence of neonatal death and to analyze the risk factors associated with neonatal death.

Methods: This retrospective study was carried out in department of Neonatology, Bangabandhu Sheikh Mujib Medical University (BSMMU) over a 12-month period from January to December 2015. The newborns that died within 28 d of life were defined as "Cases" and "Control" were the surviving newborn discharged to home as healthy. Two birth weight and gestational age matched controls were taken for each case. Maternal, obstetric, and newborn characteristics were analyzed between both the groups. Data analysis was performed using SPSS version 20.0 (SPSS Inc., Chicago, IL). A probability of < .05 was considered statistically significant. The strength of association was determined by calculating odds ratio and their 95% confidence intervals (CIs).

Results: During the study period, the proportion of death was 9.6% (64/612). Both in Chi-square analysis and in logistic regression analysis, less than four antenatal visits (odds ratio (OR) 2.78; 95% CI: 1.23-6.28, p = .014) and sepsis (OR 2.37; 95% CI: 1.07-5.26, p = .034) were found to be independent risk factors for deaths, whereas LUCS found to be protective for deaths (OR 0.40; 95% CI: 0.19-0.83, p = .015).

Conclusion: In conclusion, less than four antenatal visits and presence of sepsis were found to be independent risk factors whereas LUCS protective of newborn death.

Keywords: Death audit; neonatal death; tertiary care hospital.

MeSH terms

  • Bangladesh / epidemiology
  • Female
  • Humans
  • Infant
  • Infant Mortality*
  • Infant, Newborn
  • Infant, Premature
  • Intensive Care Units / statistics & numerical data*
  • Male
  • Medical Audit
  • Retrospective Studies
  • Risk Factors
  • Tertiary Care Centers / statistics & numerical data*