早期预测评分对重症监护病房卒中患者死亡率预测的有效性评估

本文由“罂粟花"授权转载

早期预测评分对重症监护病房卒中患者死亡率预测的

有效性评估

贵州医科大学     麻醉与心脏电生理课题组

翻译：安丽 编辑：陈锐  审核：曹莹

罂 粟 摘 要 

背景: 早期预测评分（NEWS）是用于对处于危险中的患者的识别工具。评分最初根据临床观察，包括心率、呼吸频率、收缩压、血氧饱和度、意识水平、体温和呼吸支持来判定。到目前为止，关于NEWS评价的研究在世界范围内还很少，在伊朗也没有研究。

目的：本研究旨在评估NEWS在预测重症监护病房(ICU)中风患者死亡率方面的有效性。

方法：根据症状和临床辅助检测已明确诊断为脑血管意外的90例患者纳入研究对象。在刚进入ICU和入院前的24小时，所有的NEWS参数都进行测量和评估。

结果：收缩压、呼吸支持、心率和意识水平与患者出院状态之间存在显著相关性。而年龄、性别、呼吸频率、SPO2和发热与出院状态之间没有显著相关。此外，根据NEWS临床风险评估的系统评分与患者出院状态之间存在显著的相关性。

结论：我们的结果显示，NEWS对临床风险的评估与患者出院状态之间存在显著的相关性，且NEWS评分较高的患者，其死亡率显著增加。

原始文献来源：Ali Mohammadian Erdi, Mahzad Yousefian,Khatereh Isazadehfar and Fatemeh Badamchi.Evaluating the Efficacy of the National Early Warning Score in Predicting the Mortality of Stroke Patients Admitted to Intensive Care Units.Anesth Pain Med. 2022 April; 12(2):e116358.doi:10.5812/aapm-116358. 

英文原文

Evaluating the Efficacy of the National Early Warning Score In Predicting the Mortality of Stroke Patients Admitted to Intensive Care Units

Abstract

Background: National Early Warning Score (NEWS) is a tool used to identify patients at risk. Scores are based on initial clinical observations, including heart rate, respiration rate, systolic blood pressure, oxygen saturation, level of consciousness, body temperature, and oxygen support. To date, few studies have been conducted on NEWS evaluation worldwide, and no study has been conducted in Iran.

Objectives: This study aims to evaluate the efficacy of the NEWS in predicting the mortality of stroke patients admitted to intensive care units (ICU).

Methods: The present cross-sectional study included 90 patients with a definitive diagnosis of cerebrovascular accident (CVA) based on symptoms and para-clinical evidence. At the beginning of admission to the ICU and up to first 24 hours of admission, all NEWS parameters were measured and evaluated.

Results: There was a significant relationship between systolic blood pressure, respiratory support, heart rate, and level of consciousness with patients’ discharge status. Also, there was no significant relationship between age, sex, respiratory rate, SPO2, and fever with discharge status. In addition, there was a significant relationship between clinical risk based on NEWS scoring system and patients’ status.

Conclusions: Our results showed a significant relationship between clinical risk based on NEWS scoring and patients’ discharge status so that there was a significant increase in mortality in patients with higher NEWS.