Suppr超能文献

新生儿死亡预测评分:一项系统评价与荟萃分析。

Neonatal death prediction scores: a systematic review and meta-analysis.

作者信息

Veloso Felipe C S, Barros Carine R A, Kassar Samir B, Gurgel Ricardo Q

机构信息

Federal University of Sergipe, São Cristovão, Brazil

Federal University of Alagoas, Maceió, Brazil.

出版信息

BMJ Paediatr Open. 2024 Dec 24;8(1):e003067. doi: 10.1136/bmjpo-2024-003067.

Abstract

OBJECTIVE

To compare, through a systematic review and meta-analysis of observational accuracy studies, the main existing neonatal death prediction scores.

METHOD

Systematic review and meta-analysis of observational accuracy studies. The databases accessed were MEDLINE, ELSEVIER, LILACS, SciELO, OpenGrey, Open Access Thesis and Dissertations, EMBASE, Web of Science, SCOPUS and Cochrane Library. For qualitative analysis, Quality Assessment of Diagnostic Accuracy Studies 2 was used. For the quantitative analysis, the area under the curve and the SE were used, as well as the inverse of the variance as a weight measure, DerSimonian and Laird as a measure of random effects, Higgins' I² as an estimate of heterogeneity, Z as a final measure with a 95% confidence level.

RESULTS

55 studies were analysed, 8 scores were compared in a total of 193 849 newborns included. The most accurate neonatal death prediction score was Score for Neonatal Acute Physiology Perinatal Extension II (SNAPPE II) (0.89 (95% CI 0.86 to 0.92)) and the least accurate was gestational age (0.75 (95% CI 0.71 to 0.79)).

CONCLUSION

SNAPPE II was the most accurate score found in this study. Despite this, the choice of score depends on the situation and setting in which the newborn is inserted, and it is up to the researcher to analyse and decide which one to use based on practicality and the possibility of local implementation. Given this, it is interesting to carry out new prospective studies to improve the prediction of neonatal deaths around the world.

PROSPERO REGISTRATION NUMBER

CRD42023462425.

摘要

目的

通过对观察性准确性研究的系统评价和荟萃分析,比较现有的主要新生儿死亡预测评分。

方法

对观察性准确性研究进行系统评价和荟萃分析。所检索的数据库包括MEDLINE、ELSEVIER、LILACS、SciELO、OpenGrey、开放获取学位论文数据库、EMBASE、科学网、SCOPUS和Cochrane图书馆。定性分析采用诊断准确性研究质量评估2。定量分析使用曲线下面积和标准误,以及方差倒数作为权重度量,DerSimonian和Laird方法作为随机效应度量,Higgins' I²作为异质性估计,Z作为95%置信水平的最终度量。

结果

分析了55项研究,共纳入193849例新生儿,比较了8种评分。最准确的新生儿死亡预测评分是新生儿急性生理学围产期扩展II评分(SNAPPE II)(0.89(95%CI 0.86至0.92)),最不准确的是胎龄(0.75(95%CI 0.71至0.79))。

结论

SNAPPE II是本研究中发现的最准确评分。尽管如此,评分的选择取决于新生儿所处的情况和环境,研究人员应根据实用性和当地实施的可能性进行分析并决定使用哪种评分。鉴于此,开展新的前瞻性研究以改善全球新生儿死亡预测很有意义。

PROSPERO注册号:CRD42023462425。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2936/11683888/4385fa1fb035/bmjpo-8-1-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验