Fetal malnutrition among neonates in African countries: a CAN score systematic review and meta-analysis.

Abstract

Background: To reduce neonatal mortality, it is necessary to identify neonates with fetal malnutrition at birth using the clinical assessment score (CAN score). Furthermore, comprehensive summary data that shows burden of fetal malnutrition in Africa is scarce. As a result, this systematic review and meta-analysis aimed to assess fetal malnutrition among newborns in Africa.

Method: The PRISMA guidelines were used for this study. Articles were obtained from databases and websites. The outcome of the study was fetal malnutrition, as determined using the CAN score. The meta-analysis of the primary and secondary outcomes was performed using Stata version 18 statistical software. The pooled prevalence with a 95% CI was estimated using the random effect method with the Der Simonian Liard model.

Results: This meta-analysis and systematic review included 5356 newborns from 13 studies. The pooled prevalence of fetal malnutrition (FM) among newborns diagnosed using the CAN score in Africa was 19% [95% CI: 17, 22]. Based on subgroup analysis by publication year, the lowest prevalence of fetal malnutrition 17% (95% CI: 9-27) was observed in the studies published in the years 2020-2023. Maternal and fetal factors were significantly associated with fetal malnutrition.

Conclusion: Nearly one-fifth of neonates delivered in Africa were found to have fetal malnutrition based on the clinical evaluation of nutritional status. It has also been established that maternal malnutrition, a lack of proper treatment during pregnancy, maternal malnutrition, and newborn morbidities were associated with fetal malnutrition. To prevent fetal malnutrition, integrated efforts should be made for early maternal infection screening. Furthermore, maternal nutritional therapy should be explored for malnourished pregnant women.