Comparison of time to death and its predictors among hospitalized children with and without severe acute malnutrition at Mulanje District Hospital, Southern Malawi

马拉维南部穆兰杰地区医院住院患儿(伴有和不伴有严重急性营养不良)死亡时间及其预测因素的比较

阅读:1

Abstract

INTRODUCTION: Severe acute malnutrition (SAM) is a major cause of child mortality in sub-Saharan Africa, yet recent data from Mulanje District Hospital, Malawi, showed higher mortality among non-SAM under-five children. This unexpected trend highlights a knowledge gap, as no studies in Malawi have compared time to death and its predictors between SAM and non-SAM children. This study aimed to fill that gap by examining and comparing mortality timing and predictors in both groups. METHODS: A retrospective cohort study was conducted using medical records of 454 randomly selected under-five children admitted to Mulanje District Hospital between January 2017 and February 2021. Data were collected using structured forms and analysed in STATA version 16. Cox proportional hazards regression was used to identify mortality predictors, with significance set at p < 0.05. RESULTS: The overall mortality rate was 14.8%, with higher mortality in non-SAM children (21.2%) than SAM children (8.4%). The median time to death was 5 days (IQR: 2-8) for SAM and 1 day (IQR: 1-2) for non-SAM children. Among SAM children, not having received amoxicillin (AHR: 4.59; CI: 1.46-14.43) was a significant predictor of death. Among non-SAM children, facility referral (AHR: 2.66 (95% CI: 1.34-5.27)), oxygen therapy (AHR: 4.04 (95% CI: 2.11-7.71)), and not having received amoxicillin (AHR: 33.49 (95% CI: 4.47-250.7)) were significant predictors of mortality. CONCLUSION: The higher mortality observed among non-SAM children reflected more acute disease presentations and delays in effective intervention, underscoring the need for rapid triage and treatment in this group.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。