Predicting the functional outcome of intensive inpatient rehabilitation after stroke: results from the RIPS Study.

IF 3.3 3区 医学 Q1 REHABILITATION
Alessandro Sodero, Silvia Campagnini, Anita Paperini, Chiara Castagnoli, Ines Hochleitner, Angela M Politi, Donata Bardi, Benedetta Basagni, Teresa Barretta, Erika Guolo, Caterina Tramonti, Silvia Pancani, Bahia Hakiki, Antonello Grippo, Andrea Mannini, Benedetta Nacmias, Marco Baccini, Claudio Macchi, Francesca Cecchi
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引用次数: 0

Abstract

Background: The complexity of stroke sequelae, the heterogeneity of outcome measures and rehabilitation pathways, and the lack of extensively validated prediction models represent a challenge in predicting stroke rehabilitation outcomes.

Aim: To prospectively investigate a multidimensional set of variables collected at admission to inpatient post-stroke rehabilitation as potential predictors of the functional level at discharge.

Design: Multicentric prospective observational study.

Setting: Patients were enrolled in four Intensive Rehabilitation Units (IRUs).

Population: Patients were consecutively recruited in the period December 2019-December 2020 with the following inclusion criteria: aged 18+, with ischemic/haemorrhagic stroke, and undergoing inpatient rehabilitation within 30 days from stroke.

Methods: This is a multicentric prospective observational study. The rehabilitation pathway was reproducible and evidence-based. The functional outcome was disability in activities of daily living, measured by the modified Barthel Index (mBI) at discharge. Potential multidimensional predictors, assessed at admission, included demographics, event description, clinical assessment, functional and cognitive profile, and psycho-social domains. The variables statistically associated with the outcome in the univariate analysis were fed into a multivariable model using multiple linear regression.

Results: A total of 220 patients were included (median [IQR] age: 80 [15], 112 women, 175 ischemic). Median mBI was 26 (43) at admission and 62.5 (52) at discharge. In the multivariable analysis younger age, along with better functioning, fewer comorbidities, higher cognitive abilities, reduced stroke severity, and higher motor functions at admission, remained independently associated with higher discharge mBI. The final model allowed a reliable prediction of discharge functional outcome (adjusted R2=77.2%).

Conclusions: The model presented in this study, based on easily collectable, reliable admission variables, could help clinicians and researchers to predict the discharge scores of the global functional outcome for persons enrolled in an evidence-based inpatient stroke rehabilitation program.

Clinical rehabilitation impact: A reliable outcome prediction derived from standardized assessment measures and validated treatment protocols could guide clinicians in the management of patients in the subacute phase of stroke and help improve the planning of the rehabilitation individualized project.

预测卒中后住院强化康复的功能结果:RIPS研究结果。
背景:中风后遗症的复杂性、结果测量和康复途径的异质性,以及缺乏广泛验证的预测模型,这些都是预测中风康复结果的挑战。目的:前瞻性研究一组在住院接受卒中后康复治疗时收集的多维变量,作为出院时功能水平的潜在预测因素。设计:多中心前瞻性观察研究。设置:患者被纳入四个强化康复单元(IRU)。人群:患者在2019年12月至2020年12月期间连续招募,入选标准如下:18岁以上,患有缺血性/出血性中风,并在中风后30天内接受住院康复。方法:这是一项多中心前瞻性观察性研究。康复途径具有可重复性和循证性。出院时通过改良Barthel指数(mBI)测量的功能结果是日常生活活动的残疾。入院时评估的潜在多维预测因素包括人口统计学、事件描述、临床评估、功能和认知概况以及心理社会领域。使用多元线性回归将与单变量分析结果统计相关的变量输入到多变量模型中。结果:共纳入220名患者(中位[IQR]年龄:80[15],112名女性,175名缺血性)。中位mBI在入院时为26(43),出院时为62.5(52)。在多变量分析中,年龄越小,功能越好,合并症越少,认知能力越高,中风严重程度越低,入院时运动功能越高,与出院mBI越高仍然独立相关。最终的模型可以可靠地预测出院功能结果(调整后的R2=77.2%)。结论:本研究中提出的模型基于易于收集的可靠入院变量,可以帮助临床医生和研究人员预测参与循证住院中风康复计划的患者的整体功能结果的出院分数。临床康复影响:从标准化评估措施和经验证的治疗方案中得出的可靠结果预测可以指导临床医生对中风亚急性期患者的管理,并有助于改进康复个性化项目的规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.50
自引率
4.40%
发文量
162
审稿时长
6-12 weeks
期刊介绍: The European Journal of Physical and Rehabilitation Medicine publishes papers of clinical interest in physical and rehabilitation medicine.
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