卒中登记研究中Barthel指数和改良的Rankin量表的适用性与相关性研究

Appropriateness Assessment and Correlation Analysis of Barthel Index and Modified Rankin Scales in a Stroke Data Register

目的 评价Barthel指数 (BI)和改良的Rankin量表 (MRS)在脑卒中登记研究中作为预后指标的适用性 ,并分析二者由计量资料转换为二分类变量资料时分界值的对应关系。方法 前瞻性连续登记 912例住院的脑卒中患者 ,在发生卒中后 1、3、6和 12个月时盲法随访所有病例的BI和MRS评分。对卒中后不同时间的BI和MRS评分分布、天花板效应和地板效应进行评价 ,并通过建立BI和MRS评分的logistic回归模型 ,计算分别以MRS评分≤ 1和≤ 2作为划分残疾与否的分界值时BI评分对应的分界值。结果 BI和MRS评分共评价 2 82 9人次 ,发生卒中后 3、6和 12个月时BI最高评分例数分别为总例数的 5 4 8%、6 2 2 %和 6 8 3% ,显著高于相应的MRS最高评分例数。BI和MRS评分存在显著相关性 (Spearman s相关系数0 887,P <0 0 5 ) ;以MRS评分≤ 1和≤ 2分别作为划分残疾与否的分界值时 ,BI评分对应的分界值为≥ 90和≥ 85。结论 本研究结果显示 ,在脑卒中登记研究中 ,BI作为长期功能残疾的评价指标时具有显著的天花板效应 ,BI和MRS评分具有显著相关性。结合国外相关报道 ,我们建议在今后的研究中 ,可试依据MRS评分≤ 2或BI评分≥ 85作为划分脑卒中患者是否残疾的分界值。

Objective To assess the appropriateness of Barthel Index (BI) and Modified Rankin Scales (MRS) used as long-term outcome measures in a stroke data register and to investigate the correlation between cutoff points of the two scales in different stroke patients with and without disability. Methods Nine hundred and twelve patients were registered prospectively. BI and MRS were evaluated at the end of 1, 3, 6 and 12 months after stroke onset. The distribution, ceiling effects and floor effects of the two scales were evaluated. A logistic regression model was established to investigate correlation of cutoff points of BI and MRS. Results There were a total of 2 829 evaluation points of BI and MRS. The percentages of patients reaching the maximum scores of BI at the end of 3, 6 and 12 months (54.8%, 62.2% and 68.3%, respectively) were higher than those of MRS. There was significant correlation between the two scales (Spearman’s correlation coefficient 0.887, P<0.05), when MRS scores of ≤1 and ≤2 were taken as cutoff points, the corresponding cutoff points of BI score were ≥90 and ≥85, respectively. Conclusions BI has significant ceiling effects when used as long-term outcome measurement in a stroke data register. There was significant correlation between BI and MRS scores. In future clinical studies, an MRS score ≤2 or BI score ≥85 could be used as cutoff points in predicting stroke patients with and without disability.