撒哈拉以南非洲新生儿早期死亡率及其预测因素:系统回顾与元分析》。

TEEBENY ZULU, Choolwe Jacobs, Godfrey Biemba, Patrick Musonda
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引用次数: 0

摘要

背景:尽管有报道称早期新生儿死亡(ENM)与晚期新生儿死亡相比,对新生儿总死亡率的影响更大,但没有任何荟萃分析对这一现象进行单独研究。在撒哈拉以南非洲地区(SSA),新生儿早期死亡的发生率及其预测因素仍然未知。因此,本荟萃分析旨在汇集撒哈拉以南非洲地区 ENM 发病率及其预测因素:在 Google Scholar、PubMed、Scopus、CINAHL 和 Google 上搜索了在撒哈拉以南非洲进行的、报告 ENM 患病率和预测因素的研究。使用 Microsoft Excel 电子表格提取数据,并导入 R 4.4.1 版进行进一步分析。进行了发表偏倚、异质性、敏感性分析和亚组分析。如果存在显著的异质性,则使用随机效应模型对患病率和几率进行汇总;否则,使用固定效应模型。研究结果本系统综述和荟萃分析共纳入了 26 项研究。在 SSA 地区,ENM 的总体汇总患病率为 11%(95% CI:7-15;I2=100%)。出生窒息(OR=3.85;95% CI:1.12-13.21;P=0.0388;I2=86.6%)、在家分娩(OR=2.46;95% CI:1.79-3.38;P<0.001;I2=0.0%)、早产(OR=4.69;95% CI:3.57-6.16;P<0.001;I2=36.8%)、男性性别(OR=1.37;95% CI:1.28-1.46;P<0.001;I2 = 30.7%)、剖腹产(OR=1.74;95% CI:1.49-2.02;P <;0.001;I2 = 31.5%)和低出生体重(OR=3.00;95% CI:1.01-8.91;P = 0.0482;I2 = 94.4%)与 SSAENM 的集合几率显著增加有关:结论:在 SSA,ENM 的发病率非常高,而且在很大程度上导致了新生儿的总死亡率。因此,应实施针对减少出生窒息、早产、在家分娩和低出生体重的干预措施,以减轻 SSA 地区 ENM 的负担。
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Prevalence of early neonatal mortality and its predictors in sub-Saharan Africa: A Systematic review and Meta-Analysis.
Background: Although early neonatal mortality (ENM) has been reported to have a greater contribution to the overall neonatal mortality compared to late neonatal mortality, no meta-analysis has studied this phenomenon in isolation. The prevalence of ENM and its predictors in sub-Saharan Africa (SSA) remains unknown. Therefore, this meta-analysis is aimed at pooling the prevalence of ENM and its predictors in SSA. Methods: Google Scholar, PubMed, Scopus, CINAHL, and Google were searched for studies conducted in SSA that reported the prevalence and predictors of ENM. The data were extracted using a Microsoft Excel spreadsheet and imported into R version 4.4.1 for further analysis. Publication bias, heterogeneity, sensitivity analysis, and subgroup analysis were performed. Prevalence and odds ratios were pooled using the random effects model if significant heterogeneity existed; otherwise, the fixed effects model was used. Results: A total of 26 studies were included in this systematic review and meta-analysis. The overall pooled prevalence of ENM in SSA was 11% (95% CI: 7-15; I2=100%). Birth asphyxia (OR=3.85; 95% CI: 1.12-13.21; P = 0.0388; I2= 86.6%), home delivery (OR=2.46; 95% CI: 1.79-3.38; p<0.001; I2 = 0.0%), prematurity (OR=4.69; 95% CI: 3.57-6.16; p<0.001; I2 = 36.8%), male gender (OR= 1.37; 95% CI: 1.28-1.46; P < 0.001; I2 = 30.7%), delivery through caesarean section (OR=1.74; 95% CI: 1.49-2.02; P < 0.001; I2 = 31.5%) and low birth weight (OR=3.00; 95% CI: 1.01-8.91; P = 0.0482; I2 = 94.4%) were associated with a significant increase in pooled odds of ENM in SSA. Conclusion: The prevalence of ENM in SSA in significantly high and it contributes greatly to the overall neonatal mortality. Therefore, tailor-made interventions that target the reduction of birth asphyxia, prematurity, home delivery, and low birth weight should be implemented in order to reduce the burden of ENM in SSA.
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