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用于预测脑出血后改良Rankin量表不良评分的综合评分系统(SAVED)的推导与验证

Derivation and validation of a composite scoring system (SAVED) for prediction of unfavorable modified Rankin scale score following intracerebral hemorrhage.

作者信息

Coleman Craig I, Concha Mauricio, Koch Bruce, Lovelace Belinda, Christoph Mary J, Cohen Alexander T

机构信息

Department of Pharmacy Practice, University of Connecticut School of Pharmacy, Storrs, CT, United States.

Evidence-Based Practice Center, Hartford Hospital, Hartford, CT, United States.

出版信息

Front Neurol. 2023 Feb 22;14:1112723. doi: 10.3389/fneur.2023.1112723. eCollection 2023.

Abstract

OBJECTIVE

To develop a composite score for predicting functional outcome post-intracerebral hemorrhage (ICeH) using proxy measures that can be assessed retrospectively.

METHODS

Data from the observational ERICH study were used to derive a composite score (SAVED) to predict an unfavorable 90-day modified Rankin scale (mRS) score. Independent predictors of unfavorable mRS were identified multivariable logistic regression and assigned score weights based on effect size. Area under the curve (AUC) was used to measure the score's discriminative ability. External validation was performed in the randomized ATACH-2 trial.

RESULTS

There were 2,449 patients from ERICH with valid mRS data who survived to hospital discharge. Predictors associated with unfavorable 90-day mRS score and their corresponding point values were: age ≥70 years (odds ratio [OR], 3.8; 1-point); prior stroke (OR, 2.8; 1-point); need for ventilation (OR, 2.7; 1-point); extended hospital stay (OR, 2.7; 1-point); and non-home discharge location (OR, 5.3; 2-points). Incidence of unfavorable 90-day mRS increased with higher SAVED scores ( < 0.001); AUC in ERICH was 0.82 (95% CI, 0.80-0.84). External validation in ATACH-2 ( = 904) found an AUC of 0.74 (95% CI, 0.70-0.77).

CONCLUSIONS

Using data collected at hospital discharge, the SAVED score predicted unfavorable mRS in patients with ICeH.

摘要

目的

利用可进行回顾性评估的替代指标制定一个综合评分,以预测脑出血(ICH)后的功能结局。

方法

来自观察性ERICH研究的数据用于得出一个综合评分(SAVED),以预测90天时改良Rankin量表(mRS)评分不良。通过多变量逻辑回归确定mRS评分不良的独立预测因素,并根据效应大小分配评分权重。曲线下面积(AUC)用于衡量该评分的辨别能力。在随机化的ATACH-2试验中进行外部验证。

结果

ERICH研究中有2449例存活至出院且有有效mRS数据的患者。与90天时mRS评分不良相关的预测因素及其相应分值为:年龄≥70岁(比值比[OR],3.8;1分);既往卒中(OR,2.8;1分);需要通气(OR,2.7;1分);住院时间延长(OR,2.7;1分);以及非家庭出院地点(OR,5.3;2分)。90天时mRS评分不良的发生率随SAVED评分升高而增加(P<0.001);ERICH研究中的AUC为0.82(95%CI,0.80 - 0.84)。ATACH-2试验(n = 904)的外部验证发现AUC为0.74(95%CI,0.70 - 0.77)。

结论

利用出院时收集的数据,SAVED评分可预测ICH患者的mRS评分不良。

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