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出生缺陷婴儿的低阿氏评分与新生儿死亡风险

Low Apgar Score and Risk of Neonatal Mortality among Infants with Birth Defects.

作者信息

Ludorf Katherine L, Benjamin Renata H, Canfield Mark, Shumate Charles, Findley Tina O, Johnson Anthony, Tsao KuoJen, Agopian A J

机构信息

Department of Epidemiology, UTHealth School of Public Health, Houston, Texas.

Department of Epidemiology, UTHealth School of Public Health, Austin, Texas.

出版信息

Am J Perinatol. 2025 Jun;42(8):1024-1034. doi: 10.1055/a-2452-0047. Epub 2024 Nov 25.

Abstract

The Apgar score is a clinical tool to assess newborn health at delivery and has shown utility in predicting neonatal mortality in the general population, but its predictive ability in neonates with birth defects remains unexplored. As such, we aimed to investigate the performance of the 5-minute Apgar score in predicting neonatal mortality among neonates with a spectrum of major birth defects.Data for neonates with birth defects born between 1999 and 2017 were obtained from the Texas Birth Defect Registry. We generated receiver operating characteristic curves and corresponding area under the curve (AUC) values for neonatal mortality (death within the first 28 days of life) by 5-minute Apgar score (<7 vs. ≥7) to measure discrimination capacity. We performed secondary analyses to determine the predictive ability of the Apgar score: (1) among infants with an isolated birth defect and (2) separately in preterm and term neonates.Low Apgar score yielded substantial predictive ability for neonatal mortality, with 25 out of 26 AUC values > 0.70 across a spectrum of defect categories. High predictive ability was consistent among neonates with isolated defects, and preterm and term neonates.The Apgar score is likely useful for predicting neonatal mortality among most neonates with birth defects. Despite small sample sizes limiting some secondary analyses, the findings emphasize the potential continued use of the Apgar score as a rapid clinical assessment tool for newborns with birth defects. Continued research may refine the Apgar score's application in this important population, both in clinical practice and population health research. · Predictive models suggest the 5-minute Apgar score (<7) is predictive of neonatal mortality.. · Consistent results were observed across spectrum of birth defect categories.. · Secondary analyses (e.g., preterm infants) yielded similarly consistent results..

摘要

阿氏评分是一种用于评估新生儿出生时健康状况的临床工具,已证明其在预测一般人群新生儿死亡率方面具有实用性,但其在出生缺陷新生儿中的预测能力仍未得到探索。因此,我们旨在研究5分钟阿氏评分在预测患有一系列主要出生缺陷的新生儿死亡率方面的表现。从德克萨斯州出生缺陷登记处获取了1999年至2017年出生的患有出生缺陷新生儿的数据。我们通过5分钟阿氏评分(<7分与≥7分)生成了新生儿死亡率(出生后28天内死亡)的受试者工作特征曲线及相应的曲线下面积(AUC)值,以衡量其区分能力。我们进行了二次分析,以确定阿氏评分的预测能力:(1)在患有孤立性出生缺陷的婴儿中;(2)分别在早产和足月新生儿中。低阿氏评分对新生儿死亡率具有显著的预测能力,在一系列缺陷类别中,26个AUC值中有25个大于0.70。在患有孤立缺陷的新生儿、早产和足月新生儿中,预测能力都很高。阿氏评分可能有助于预测大多数患有出生缺陷的新生儿的死亡率。尽管样本量较小限制了一些二次分析,但研究结果强调了阿氏评分作为出生缺陷新生儿快速临床评估工具可能具有的持续实用性。持续的研究可能会完善阿氏评分在这一重要人群中的应用,无论是在临床实践还是人群健康研究中。·预测模型表明5分钟阿氏评分(<7分)可预测新生儿死亡率。·在一系列出生缺陷类别中观察到了一致的结果。·二次分析(如早产儿)也得出了类似的一致结果。

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