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Update on early warning scores.预警评分更新。
Best Pract Res Clin Anaesthesiol. 2021 May;35(1):105-113. doi: 10.1016/j.bpa.2020.12.013. Epub 2021 Jan 6.
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In-hospital cardiac arrest and preceding National Early Warning Score (NEWS): A retrospective case-control study.院内心脏骤停与之前的国家早期预警评分(NEWS):一项回顾性病例对照研究。
Clin Med (Lond). 2020 Jan;20(1):55-60. doi: 10.7861/clinmed.2019-0137.
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Early warning scores in paediatrics: an overview.儿科早期预警评分:概述。
Arch Dis Child. 2019 Apr;104(4):395-399. doi: 10.1136/archdischild-2018-314807. Epub 2018 Nov 9.
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Implementing Obstetric Early Warning Systems.实施产科早期预警系统。
AJP Rep. 2018 Apr;8(2):e79-e84. doi: 10.1055/s-0038-1641569. Epub 2018 Apr 20.
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Defining sepsis on the wards: results of a multi-centre point-prevalence study comparing two sepsis definitions.病房中脓毒症的定义:一项多中心时点患病率研究比较两种脓毒症定义的结果。
Anaesthesia. 2018 Feb;73(2):195-204. doi: 10.1111/anae.14062. Epub 2017 Nov 17.
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Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Maternal Mortality Estimation Inter-Agency Group.1990年至2015年全球、区域和国家层面的孕产妇死亡率及趋势,以及基于情景的2030年预测:联合国孕产妇死亡率估计机构间小组的系统分析
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Validation of a physiological track and trigger score to identify developing critical illness in haematology patients.验证一种生理轨迹和触发评分,以识别血液学患者中发展为危重症的情况。
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剖宫产产妇术前早期生理预警评分:一项前瞻性研究。

Preoperative early physiologic warning scores in the parturients undergoing cesarean section: a prospective study.

作者信息

Balik Onurcan, Karabacak Pınar, Bi̇ndal Ahmet, Özkaya Mehmet Okan, Ceylan Berit Gökçe

机构信息

Department of Anaesthesiology and Reanimation, School of Medicine, Süleyman Demirel University, Cunur Mah. 548. Sokak, Umut Sitesi 9/13 C Blok Kat:3 Daire:14, Isparta, Turkey.

Department of Anaesthesiology and Reanimation, Division of Critical Care, School of Medicine, Süleyman Demirel University, Isparta, Turkey.

出版信息

BMC Anesthesiol. 2025 Jul 2;25(1):331. doi: 10.1186/s12871-025-03205-9.

DOI:10.1186/s12871-025-03205-9
PMID:40604429
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12220132/
Abstract

BACKGROUND

Early physiologic warning scores (EPWS) are used to detect clinical deterioration by monitoring vital signs and early warning signs. However, their role in the obstetric population, particularly during the preoperative period before cesarean delivery, remains underexplored.

OBJECTIVE

To evaluate the effectiveness of three maternal early physiologic warning systems—Modified Early Obstetric Warning Score (MEOWS), Maternal Early Warning Criteria (MEWC), and Maternal Early Warning Triggers (MEWT)—in predicting short-term maternal and neonatal outcomes in the parturient patients undergoing cesarean section.

METHODS

In this prospective observational study, 304 parturient patients scheduled for cesarean delivery at a tertiary care hospital were evaluated. Preoperative physiological data were used to calculate MEOWS, MEWC, and MEWT scores. Patients were classified into “high risk” (Group 1) or “no risk” (Group 2) categories based on predefined thresholds. Primary outcomes included intensive care unit (ICU) admission and neonatal APGAR scores. Secondary outcomes involved Aldrete scores, intraoperative hemodynamic parameters, and type of anesthesia.

RESULTS

Patients identified as “high risk” by MEOWS had significantly lower neonatal APGAR and maternal Aldrete scores, along with higher systolic and diastolic blood pressures and heart rates ( < 0.05). MEOWS also more effectively predicted ICU admission compared to MEWC and MEWT ( < 0.05). No maternal deaths were recorded. Emergency procedures were more frequent in patients identified as “high risk” by MEWC and MEWT.

CONCLUSIONS

MEOWS, MEWC, and MEWT scores can help identify preoperative high-risk patients who may require cesarean sections. MEOWS demonstrated superior sensitivity in predicting postoperative complications and ICU admission. Incorporating EPWS in the preoperative evaluation may improve maternal and neonatal outcomes.

摘要

背景

早期生理预警评分(EPWS)用于通过监测生命体征和早期预警信号来检测临床病情恶化。然而,它们在产科人群中的作用,尤其是在剖宫产术前阶段,仍未得到充分研究。

目的

评估三种产妇早期生理预警系统——改良早期产科预警评分(MEOWS)、产妇早期预警标准(MEWC)和产妇早期预警触发指标(MEWT)——在预测剖宫产产妇短期母婴结局方面的有效性。

方法

在这项前瞻性观察研究中,对一家三级护理医院计划进行剖宫产的304名产妇进行了评估。术前生理数据用于计算MEOWS、MEWC和MEWT评分。根据预定义阈值,将患者分为“高风险”(第1组)或“无风险”(第2组)类别。主要结局包括重症监护病房(ICU)入院情况和新生儿阿氏评分。次要结局包括Aldrete评分、术中血流动力学参数和麻醉类型。

结果

被MEOWS判定为“高风险”的患者,其新生儿阿氏评分和产妇Aldrete评分显著更低,收缩压、舒张压和心率更高(<0.05)。与MEWC和MEWT相比,MEOWS在预测ICU入院方面也更有效(<0.05)。未记录到产妇死亡病例。被MEWC和MEWT判定为“高风险”的患者进行急诊手术的频率更高。

结论

MEOWS、MEWC和MEWT评分有助于识别可能需要剖宫产的术前高风险患者。MEOWS在预测术后并发症和ICU入院方面表现出更高的敏感性。将EPWS纳入术前评估可能会改善母婴结局。