Jemal Musa, Kemal Abdurezak, Mohammed Bekri, Bedru Delwana, Kedir Shemsu
Department of Public Health, College of Medicine and Health Science, Werabe University, Werabe, Ethiopia.
Department of Public Health, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Front Pediatr. 2024 Dec 12;12:1426901. doi: 10.3389/fped.2024.1426901. eCollection 2024.
Globally, 2.4 million neonates died in their first month of life in 2019 with approximately 6,700 neonatal deaths every day. Ethiopia is 4th among the top 10 countries with the highest number of neonatal deaths. Yet, there are few prospective studies on neonatal mortality in the central region of Ethiopia. Hence, to develop evidence-based, locally tailored intervention strategies, it is necessary to evaluate neonatal survival status and mortality predictors, including birth weight. Therefore, the current study aims to assess survival status and factors predicting the survival of neonates in the Silt'e zone, Ethiopia.
An institution-based prospective cohort study design was employed from 1 May to 30 July 2022. Data were collected from term neonates who were enrolled according to their order of health facility visit and then followed by data collectors in their homes. Data were analyzed using STATA version 14.1. Neonatal survival was presented using the Kaplan-Meier survival curve. The crude and adjusted associations were evaluated using the Cox proportional-hazards model, presented with a 95% confidence interval (CI), and a -value <0.05 was used to declare statistical significance.
In total, 1,080 term neonates were followed for a total of 27,643.6 neonatal days. The study showed a 95% cumulative probability of surviving the neonatal period. The incidence rate of neonatal death was 2.02 per 1,000 neonatal days. Maternal history of neonatal death [adjusted hazard ratio (AHR) = 4.03; 95% CI: 2.28-9.52], complication during pregnancy (AHR = 3.08; 95% CI: 1.12-8.25), female sex (AHR = 0.45; 95% CI: 0.25-0.84), birth weight (AHR = 0.27; 95% CI: 0.11-0.63), and a low or intermediate APGAR score at 1 min (AHR = 3.11; 95% CI: 1.23-7.82 and AHR = 5.34; 95% CI: 1.63-17.51, respectively) were independent predictors of neonatal death.
It has been noted that neonatal mortality in this area is higher than results from national studies and other study areas and thus requires strict attention and interventions targeting both the pre and postnatal periods. Babies with low birth weight were found to struggle to survive the neonatal period. Promoting maternal nutrition for normal birth weight of the newborn would thereby improve neonatal survival, and should be followed as a strategy.
2019年,全球有240万新生儿在出生后的第一个月内死亡,每天约有6700例新生儿死亡。埃塞俄比亚是新生儿死亡人数最多的前10个国家中的第4名。然而,在埃塞俄比亚中部地区,关于新生儿死亡率的前瞻性研究很少。因此,为了制定基于证据的、适合当地情况的干预策略,有必要评估新生儿的生存状况和死亡预测因素,包括出生体重。因此,本研究旨在评估埃塞俄比亚锡尔特区新生儿的生存状况及预测其生存的因素。
采用基于机构的前瞻性队列研究设计,研究时间为2022年5月1日至7月30日。数据收集自足月新生儿,这些新生儿根据其到医疗机构就诊的顺序进行登记,然后由数据收集员到他们家中进行随访。使用STATA 14.1版本对数据进行分析。使用Kaplan-Meier生存曲线展示新生儿生存情况。使用Cox比例风险模型评估粗关联和调整后的关联,并给出95%置信区间(CI),P值<0.05表示具有统计学意义。
总共对1080名足月新生儿进行了随访,累计随访27643.6个新生儿日。该研究显示新生儿期存活的累积概率为95%。新生儿死亡发生率为每1000个新生儿日2.02例。新生儿死亡的母亲病史[调整后风险比(AHR)=4.03;95%CI:2.28-9.52]、孕期并发症(AHR=3.08;95%CI:1.12-8.25)、女性(AHR=0.45;95%CI:0.25-0.84)、出生体重(AHR=0.27;95%CI:0.11-0.63)以及1分钟时低或中等的阿氏评分(AHR分别为3.11;95%CI:1.23-7.82和AHR=5.34;95%CI:1.63-17.51)是新生儿死亡的独立预测因素。
已经注意到该地区的新生儿死亡率高于全国性研究和其他研究地区的结果,因此需要对产前和产后阶段给予严格关注并采取干预措施。发现低出生体重的婴儿在新生儿期难以存活。因此,促进孕产妇营养以实现新生儿正常出生体重将改善新生儿生存情况,应将其作为一项策略加以推行。