Critical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
Internal Medicine and Critical Care Department, Bahria Town International Hospital, Lahore, Pakistan.
Rev Bras Ter Intensiva. 2020 Jun;32(2):301-307. doi: 10.5935/0103-507x.20200047. Epub 2020 Jul 13.
To evaluate the hypothesis that the Modified Early Warning Score (MEWS) at the time of intensive care unit discharge is associated with readmission and to identify the MEWS that most reliably predicts intensive care unit readmission within 48 hours of discharge.
This was a retrospective observational study of the MEWSs of discharged patients from the intensive care unit. We compared the demographics, severity scores, critical illness characteristics, and MEWSs of readmitted and non-readmitted patients, identified factors associated with readmission in a logistic regression model, constructed a Receiver Operating Characteristic (ROC) curve of the MEWS in predicting the probability of readmission, and presented the optimum criterion with the highest sensitivity and specificity.
The readmission rate was 2.6%, and the MEWS was a significant predictor of readmission, along with intensive care unit length of stay > 10 days and tracheostomy. The ROC curve of the MEWS in predicting the readmission probability had an AUC of 0.82, and a MEWS > 6 carried a sensitivity of 0.78 (95%CI 0.66 - 0.9) and specificity of 0.9 (95%CI 0.87 - 0.93).
The MEWS is associated with intensive care unit readmission, and a score > 6 has excellent accuracy as a prognostic predictor.
评估改良早期预警评分(MEWS)在重症监护病房(ICU)出院时与再入院的相关性,并确定最能可靠预测出院后 48 小时内 ICU 再入院的 MEWS。
这是一项对 ICU 出院患者 MEWS 的回顾性观察性研究。我们比较了再入院和未再入院患者的人口统计学、严重程度评分、危重病特征和 MEWS,在逻辑回归模型中确定了与再入院相关的因素,构建了 MEWS 预测再入院概率的受试者工作特征(ROC)曲线,并呈现了具有最高灵敏度和特异性的最佳标准。
再入院率为 2.6%,MEWS 是再入院的显著预测因素,与 ICU 住院时间>10 天和气管切开术有关。MEWS 预测再入院概率的 ROC 曲线 AUC 为 0.82,MEWS>6 时的灵敏度为 0.78(95%CI 0.66-0.9),特异性为 0.9(95%CI 0.87-0.93)。
MEWS 与 ICU 再入院相关,评分>6 作为预后预测指标具有很高的准确性。