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验证改良早期产科预警评分(MEOWS)对产科发病率预测的性能:印度东部一家三级护理机构的前瞻性观察研究。

Validating the Performance of Modified Early Obstetrics Warning Score (MEOWS) for Prediction of Obstetrics Morbidity: A Prospective Observational Study in a Tertiary Care Institute in East India.

作者信息

Yadav Preeti, Sinha Ranjana

机构信息

Dept of Obs & Gynae Specialist, Tata Main Hospital, Jamshedpur, Jharkhand India.

Department of Obstetrics and Gynaecology, Tata Main Hospital, Jamshedpur, Jharkhand India.

出版信息

J Obstet Gynaecol India. 2023 Dec;73(Suppl 2):227-233. doi: 10.1007/s13224-023-01855-8. Epub 2023 Nov 1.

DOI:10.1007/s13224-023-01855-8
PMID:38143979
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10746593/
Abstract

BACKGROUND

An early warning score can be used to identify worsening in obstetric patients as they are more prone for deterioration. This study was conducted to evaluate and validate the performance of the modified early obstetric warning system (MEOWS) as a screening tool for early prediction of severe obstetric morbidity.

METHODS

This prospective observational study was conducted at obstetrics and gynaecology department, Tata Main Hospital, Jamshedpur, Jharkhand, India. A total of 1800 patients were included over a period of 10 month, from December 2021 to September 2022. Study population included all pregnant women admitted in labour room with > 28 weeks of gestation till 6 weeks postpartum. MEOWS charts were plotted for each patient, score calculated and documented at admission. Patients were categorized based on this score for further management, and follow-up was made till discharge. Outcome assessment was done in terms of ICU admission, length of hospital stays, obstetric morbidity, and maternal mortality. Correlation of each outcome with scoring was evaluated.

RESULTS

The sensitivity of MEOWS in predicting maternal morbidity was 72.91%, specificity 91.87%, positive predictive value 85.96%, and negative predictive value 83.24%. The area under receiver operator characteristic of MEOWS for prediction of maternal mortality was 0.79 (95% CI 0.75-0.82).

CONCLUSION

MEOWS helps in early recognition of obstetric morbidity even before signs, and symptoms become clinically evident. It is a useful tool for predicting adverse maternal outcome in pregnant women.

摘要

背景

早期预警评分可用于识别产科患者病情的恶化,因为他们更容易出现病情恶化。本研究旨在评估和验证改良早期产科预警系统(MEOWS)作为早期预测严重产科并发症的筛查工具的性能。

方法

这项前瞻性观察性研究在印度贾坎德邦贾姆谢德布尔市塔塔主医院的妇产科进行。在2021年12月至2022年9月的10个月期间,共纳入了1800名患者。研究人群包括所有孕周大于28周直至产后6周入住产房的孕妇。为每位患者绘制MEOWS图表,计算入院时的评分并记录。根据该评分对患者进行分类以进行进一步管理,并随访至出院。从重症监护病房(ICU)入住情况、住院时间、产科并发症和孕产妇死亡率方面进行结局评估。评估了每个结局与评分的相关性。

结果

MEOWS预测孕产妇并发症的敏感性为72.91%,特异性为91.87%,阳性预测值为85.96%,阴性预测值为83.24%。MEOWS预测孕产妇死亡率的受试者工作特征曲线下面积为0.79(95%可信区间0.75 - 0.82)。

结论

MEOWS有助于在体征和症状出现之前就早期识别产科并发症。它是预测孕妇不良孕产妇结局的有用工具。

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