Stummer C, Verheyden G, Putman K, Jenni W, Schupp W, De Wit L
Department of Rehabilitation Sciences , KU Leuven, Leuven , Belgium .
Disabil Rehabil. 2015;37(11):942-50. doi: 10.3109/09638288.2014.948137. Epub 2014 Aug 29.
To develop prognostic models and equations for predicting participation at six months after stroke.
This European prospective cohort study recruited 532 consecutive patients from four rehabilitation centers. Participation was assessed at six months after stroke with the Sickness Impact Profile (SIP), which consists of a physical, psychosocial and independent dimension. Twenty-six independent variables on admission to the rehabilitation center and 13 additional variables measured at two months post stroke were included in the analysis. A multiple logistic regression analysis was conducted predicting good participation (SIP < 20%). Sensitivity, specificity, positive and negative predictive values were calculated.
The prognostic models for the three dimensions provided independent predictors containing demographics, complications, diagnostic, and disability measures. Sensitivity ranged from 64-84%, specificity 66-85%, positive predictive value 70-78%, and negative predictive value 76-87%. Barthel Index on admission, Euroqol Health State at two months and Caregiver Strain Index at two months were retained in all prediction models.
A combination of variables was found in the prognostic models of the three dimensions of the SIP at six months after stroke. Already from the early beginning of stroke rehabilitation it seems important to focus on personal activities of daily living as well as caregivers' strain.
Prognostic factors predicting participation, measured by the three dimensions of the Sickness Impact Profile at six months post stroke include demographic variables, post-stroke complications, diagnostic parameters and disability measures. Significant prognostic variables for all three dimensions of the Sickness Impact Profile were a higher Barthel Index score on admission to the rehabilitation center, a higher Euroqol Health State score at two months post stroke and a lower Caregiver Strain Index score at two months post stroke. Early stroke therapy should therefore further emphasize rehabilitation of personal activities of daily living such as mobility, walking, feeding, dressing, and toilet use, as well as considering strategies to reduce caregiver strain such as giving support, providing information and training carers.
建立预测卒中后六个月参与度的预后模型和方程。
这项欧洲前瞻性队列研究从四个康复中心连续招募了532名患者。在卒中后六个月用疾病影响量表(SIP)评估参与度,该量表包括身体、心理社会和独立维度。分析纳入了康复中心入院时的26个独立变量以及卒中后两个月测量的13个额外变量。进行多因素逻辑回归分析以预测良好参与度(SIP<20%)。计算敏感性、特异性、阳性和阴性预测值。
三个维度的预后模型提供了包含人口统计学、并发症、诊断和残疾指标的独立预测因素。敏感性范围为64 - 84%,特异性为66 - 85%,阳性预测值为70 - 78%,阴性预测值为76 - 87%。所有预测模型均保留了入院时的巴氏指数、卒中后两个月的欧洲五维健康量表健康状态和卒中后两个月的照顾者压力指数。
在卒中后六个月SIP三个维度的预后模型中发现了变量组合。从卒中康复早期开始,关注日常生活中的个人活动以及照顾者的压力似乎就很重要。
卒中后六个月用疾病影响量表三个维度测量的预测参与度的预后因素包括人口统计学变量、卒中后并发症、诊断参数和残疾指标。疾病影响量表所有三个维度的显著预后变量是康复中心入院时较高的巴氏指数评分、卒中后两个月较高的欧洲五维健康量表健康状态评分以及卒中后两个月较低的照顾者压力指数评分。因此,早期卒中治疗应进一步强调日常生活中个人活动的康复,如移动、行走、进食、穿衣和如厕,以及考虑减轻照顾者压力的策略,如给予支持、提供信息和培训照顾者。