Clinical and laboratory predictors of 30-day mortality in severe acute malnourished children with severe pneumonia

8Citations
Citations of this article
34Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Objective: To determine the predictors of mortality within 30 days of hospital admission in a diarrhoeal disease hospital in Bangladesh. Methods: Cohort study of hospitalised children aged 0–59 months with severe acute malnutrition (SAM) and severe pneumonia in Dhaka Hospital, icddr,b, Bangladesh from April 2015 to March 2017. Those discharged were followed up, and survival status at 30 days from admission was determined. Children who died were compared with the survivors in terms of clinical and laboratory biomarkers. Multivariable logistic regression analysis was used for calculating adjusted odds ratio for death within 30 days of hospital admission. Results: We enrolled 191 children. Mortality within 30 days of admission was 6% (14/191). After adjusting for potential confounders (hypoxia, CRP and haematocrit) in logistic regression analysis, independent factors associated with death were female sex (aOR = 5.80, 95% CI: 1.34–25.19), LAZ 6.0 × 109/L) (aOR = 1.06, 95% CI: 1.01–1.11). Using sex, Z-score for length for age (LAZ), and PMNL percentage, we used random forest and linear regression models to achieve a cross-validated AUC of 0.83 (95% CI: 0.82, 0.84) for prediction of 30-day mortality. Conclusions: The results of our data suggest that female sex, severe malnutrition (

Cite

CITATION STYLE

APA

Shahrin, L., Chisti, M. J., Brintz, B., Islam, Z., Shahid, A. S. M. S. B., Hassan, M. Z., … Chowdhury, F. (2020). Clinical and laboratory predictors of 30-day mortality in severe acute malnourished children with severe pneumonia. Tropical Medicine and International Health, 25(11), 1422–1430. https://doi.org/10.1111/tmi.13484

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free