The neonatal mortality risk of vulnerable newborns in rural Bangladesh: A prospective cohort study within the Shonjibon trial.

IF 2.6 4区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Tropical Medicine & International Health Pub Date : 2025-04-01 Epub Date: 2025-02-02 DOI:10.1111/tmi.14092
Alexandra Hewish, Michael J Dibley, Shahreen Raihana, Mohammad Masudur Rahman, Sajia Islam, Shams El Arifeen, Tanvir Huda
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引用次数: 0

Abstract

Objectives: Preterm birth (<37 weeks), low birth weight (2500 g), small-for-gestational-age (birth weight <10th percentile of a given reference), and large-for-gestational-age (birth weight >90th percentile of a given reference) are indicators of vulnerable infants and risk factors for neonatal mortality. We estimated the prevalence and risk of neonatal mortality associated with these phenotypes and their mutually exclusive phenotypes in rural Bangladesh.

Methods: We conducted a prospective cohort study in five rural districts of Bangladesh using data collected from births in the Shonjibon Trial from 2013 to 2015. We estimated the prevalence of preterm birth, low birth weight, small-for-gestational-age, and large-for-gestational-age infants, individually and for mutually exclusive phenotypes, using a combination of these phenotypes. Neonatal mortality associated with preterm birth, low birth weight, small-for-gestational-age, large-for-gestational-age, and mutually exclusive phenotypes were calculated using Kaplan-Meier survival analysis and Poisson regression for adjusted relative risks (aRR) with 95% confidence intervals (CI).

Results: We included 24,314 live births in this study. The prevalence of preterm birth, low birth weight, small-for-gestational-age, and large-for-gestational-age was 26.2%, 22.9%, 41.7%, and 8.2%, respectively. The prevalence of babies born appropriate for gestational age, with term gestation (≥37 weeks) and normal birth weight (≥2500 g) was 33.3%. For individual phenotypes, the neonatal mortality risk was approximately 3-fold for preterm, low birth weight, and large-for-gestational-age newborns and 1.5-fold for small-for-gestational-age newborns compared with appropriate-for-gestational-age, term, and normal birth weight newborns. The risk of neonatal mortality for mutually exclusive phenotypes was highest in small-for-gestational-age, preterm, and low birth weight newborns (aRR = 6.3, 95% CI 4.1-9.6) relative to appropriate for gestational age, term, and normal birth weight newborns.

Conclusions: In rural Bangladesh, most infants are born with one or more vulnerable phenotypes associated with an increased risk of neonatal mortality. Our findings highlight the value of categorising newborns using mutually exclusive vulnerable phenotypes and their neonatal mortality risks, which can be used to tailor interventions to improve survival.

孟加拉国农村弱势新生儿的新生儿死亡风险:Shonjibon试验中的前瞻性队列研究
目的:早产(给定参考值的第90百分位)是脆弱婴儿的指标和新生儿死亡的危险因素。我们估计了孟加拉国农村地区与这些表型及其互斥表型相关的新生儿死亡率的患病率和风险。方法:我们在孟加拉国的五个农村地区进行了一项前瞻性队列研究,使用了2013年至2015年在Shonjibon试验中收集的出生数据。我们使用这些表型的组合估计了早产、低出生体重、小胎龄和大胎龄婴儿的患病率,无论是单独的还是互斥的表型。使用Kaplan-Meier生存分析和泊松回归计算与早产、低出生体重、小胎龄、大胎龄和互异表型相关的新生儿死亡率,校正相对风险(aRR)为95%置信区间(CI)。结果:本研究纳入了24,314例活产婴儿。早产、低出生体重、小胎龄和大胎龄的患病率分别为26.2%、22.9%、41.7%和8.2%。足月妊娠(≥37周)和正常出生体重(≥2500 g)与胎龄相符的新生儿患病率为33.3%。就个体表型而言,与适当胎龄、足月和正常出生体重的新生儿相比,早产、低出生体重和大胎龄新生儿的新生儿死亡率风险约为3倍,小胎龄新生儿的新生儿死亡率风险约为1.5倍。相对于胎龄小、足月和正常出生体重的新生儿,互异表型的新生儿死亡率风险在胎龄小、早产和低出生体重新生儿中最高(aRR = 6.3, 95% CI 4.1-9.6)。结论:在孟加拉国农村,大多数婴儿出生时具有一种或多种与新生儿死亡风险增加相关的易感表型。我们的研究结果强调了使用互斥的脆弱表型及其新生儿死亡风险对新生儿进行分类的价值,这可以用于定制干预措施以提高生存率。
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来源期刊
Tropical Medicine & International Health
Tropical Medicine & International Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.80
自引率
0.00%
发文量
129
审稿时长
6 months
期刊介绍: Tropical Medicine & International Health is published on behalf of the London School of Hygiene and Tropical Medicine, Swiss Tropical and Public Health Institute, Foundation Tropical Medicine and International Health, Belgian Institute of Tropical Medicine and Bernhard-Nocht-Institute for Tropical Medicine. Tropical Medicine & International Health is the official journal of the Federation of European Societies for Tropical Medicine and International Health (FESTMIH).
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