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基于 Mayo 心脏重症监护病房入院风险评分预测入院 1 年的死亡率。

Predicting 1-Year Mortality on Admission Using the Mayo Cardiac Intensive Care Unit Admission Risk Score.

机构信息

Department of Internal Medicine, Mayo Clinic, Rochester, MN.

Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN.

出版信息

Mayo Clin Proc. 2021 Sep;96(9):2354-2365. doi: 10.1016/j.mayocp.2021.01.031. Epub 2021 Aug 5.

DOI:10.1016/j.mayocp.2021.01.031
PMID:34366138
Abstract

OBJECTIVE

To determine whether the Mayo Cardiac Intensive Care Unit (CICU) Admission Risk Score (M-CARS) accurately predicts 1-year mortality.

METHODS

We retrospectively reviewed adult CICU patients admitted from January 1, 2007, through April 30, 2018, and calculated M-CARS using admission data. We examined the association between admission M-CARS, as continuous and categorical variables, and 1-year mortality.

RESULTS

This study included 12,428 unique patients with a mean age of 67.6±15.2 years (4686 [37.7%] female). A total of 2839 patients (22.8%) died within 1 year of admission, including 1149 (9.2%) hospital deaths and 1690 (15.0%) of the 11,279 hospital survivors. The 1-year survival decreased incrementally as a function of increasing M-CARS (P<.001), and all components of M-CARS were significant predictors of 1-year mortality (P<.001). The 1-year survival among hospital survivors decreased incrementally as a function of increasing M-CARS for scores below 3 (all P<.001); however, there was no further decrease in 1-year survival for hospital survivors with M-CARS of 3 or more (P=.99). The M-CARS components associated with 1-year mortality among hospital survivors included blood urea nitrogen, red blood cell distribution width, Braden skin score, and respiratory failure (all P<.001).

CONCLUSION

M-CARS predicted 1-year mortality among CICU admissions, with a plateau effect at high M-CARS of 3 or more for hospital survivors. Significant added predictors of 1-year mortality among hospital survivors included markers of frailty and chronic illness.

摘要

目的

确定梅奥心脏重症监护病房(CICU)入院风险评分(M-CARS)是否能准确预测 1 年死亡率。

方法

我们回顾性分析了 2007 年 1 月 1 日至 2018 年 4 月 30 日期间入住成人 CICU 的患者,并使用入院数据计算 M-CARS。我们检验了入院 M-CARS(连续变量和分类变量)与 1 年死亡率之间的关系。

结果

本研究共纳入 12428 例患者,平均年龄 67.6±15.2 岁(4686[37.7%]例为女性)。共有 2839 例(22.8%)患者在入院后 1 年内死亡,包括 1149 例(9.2%)院内死亡和 1690 例(15.0%)11279 例院内存活患者。随着 M-CARS 的增加,1 年生存率逐渐降低(P<.001),M-CARS 的所有组成部分都是 1 年死亡率的显著预测因素(P<.001)。对于 M-CARS 评分低于 3 的住院幸存者,随着 M-CARS 的增加,1 年生存率逐渐降低(均 P<.001);然而,对于 M-CARS 评分≥3 的住院幸存者,1 年生存率无进一步下降(P=.99)。与住院幸存者 1 年死亡率相关的 M-CARS 组成部分包括血尿素氮、红细胞分布宽度、Braden 皮肤评分和呼吸衰竭(均 P<.001)。

结论

M-CARS 预测了 CICU 入院患者的 1 年死亡率,对于 M-CARS 评分≥3 的住院幸存者,死亡率呈平台效应。对于住院幸存者 1 年死亡率的显著附加预测因素包括脆弱和慢性疾病的标志物。

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