Department of Obstetrics & Gynaecology, Vardhman Mahavir Medical College & Safdarjung Hospital, New Delhi, India.
Indian J Med Res. 2023 Oct 1;158(4):339-346. doi: 10.4103/ijmr.ijmr_2478_21. Epub 2023 Sep 25.
Early warning systems (EWS) involve serial observations (track) with criteria (trigger) to timely identify patients at risk of complications. Carle designed a statistically based clinically modified obstetric early warning score (Carle's OEWS). This study evaluated Carle's OEWS and its individual components for predicting admission to the obstetric critical care unit (OCCU). Maternal near-miss and maternal mortality were the secondary outcomes.
A prospective observational study was conducted among 1250 pregnant women with a period of gestation ≥28 week admitted in the labour wards of a tertiary centre over 18 months. The physiological parameters of OEWS were recorded and aggregate score was calculated at admission and at regular intervals thereafter, till discharge or OCCU admission.
The area under receiver operating characteristic (ROC) curve of OEWS was 0.975 for predicting OCCU admission, 0.971 for near-miss, and 0.996 for predicting maternal mortality and was significant for all outcomes. All individual parameters, except diastolic blood pressure, had a significant relative risk for predicting OCCU requirement.
Carle's OEWS is a useful screening tool for predicting obstetric OCCU admission and can be routinely used in labour wards to ensure timely intervention.
预警系统(EWS)涉及使用标准(触发因素)对连续观察(跟踪),以便及时识别有并发症风险的患者。Carle 设计了一种基于统计学的临床改良产科预警评分(Carle 的 OEWS)。本研究评估了 Carle 的 OEWS 及其各个组成部分对预测产科重症监护病房(OCCU)入院的能力。产妇接近死亡和产妇死亡是次要结局。
在 18 个月的时间里,对一家三级中心产房收治的 1250 名妊娠≥28 周的孕妇进行了前瞻性观察研究。记录 OEWS 的生理参数,并在入院时和此后的定期间隔计算总评分,直至出院或进入 OCCU。
OEWS 预测 OCCU 入院的受试者工作特征(ROC)曲线下面积为 0.975,预测接近死亡的面积为 0.971,预测产妇死亡的面积为 0.996,所有结果均具有统计学意义。除舒张压外,所有个体参数对预测 OCCU 需求均具有显著的相对风险。
Carle 的 OEWS 是一种预测产科 OCCU 入院的有用筛查工具,可在产房常规使用,以确保及时干预。