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Rehabilitation profiles of older adult stroke survivors admitted to intermediate care units: A multi-centre study

机译:入住中间护理单位的老年卒中幸存者的康复情况:多中心研究

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摘要

Background: \udStroke is a major cause of disability in older adults, but the evidence around post-acute treatment is limited and heterogeneous. We aimed to identify profiles of older adult stroke survivors admitted to intermediate care geriatric rehabilitation units.\ud\udMethods:\udWe performed a cohort study, enrolling stroke survivors aged 65 years or older, admitted to 9 intermediate care units in Catalonia-Spain. To identify potential profiles, we included age, caregiver presence, comorbidity, pre-stroke and post-stroke disability, cognitive impairment and stroke severity in a cluster analysis. We also proposed a practical decision tree for patient’s classification in clinical practice. We analyzed differences between profiles in functional improvement (Barthel index), relative functional gain (Montebello index), length of hospital stay (LOS), rehabilitation efficiency (functional improvement by LOS), and new institutionalization using multivariable regression models (for continuous and dichotomous outcomes).\ud\udResults:\udAmong 384 patients (79.1±7.9 years, 50.8% women), we identified 3 complexity profiles: a) Lower Complexity with Caregiver (LCC), b) Moderate Complexity without Caregiver (MCN), and c) Higher Complexity with Caregiver (HCC). The decision tree showed high agreement with cluster analysis (96.6%). Using either linear (continuous outcomes) or logistic regression, both LCC and MCN, compared to HCC, showed statistically significant higher chances of functional improvement (OR = 4.68, 95%CI = 2.54–8.63 and OR = 3.0, 95%CI = 1.52–5.87, respectively, for Barthel index improvement =20), relative functional gain (OR = 4.41, 95%CI = 1.81–10.75 and OR = 3.45, 95%CI = 1.31–9.04, respectively, for top Vs lower tertiles), and rehabilitation efficiency (OR = 7.88, 95%CI = 3.65–17.03 and OR = 3.87, 95%CI = 1.69–8.89, respectively, for top Vs lower tertiles). In relation to LOS, MCN cluster had lower chance of shorter LOS than LCC (OR = 0.41, 95%CI = 0.23–0.75) and HCC (OR = 0.37, 95%CI = 0.19–0.73), for LOS lower Vs higher tertiles.\ud\udConclusion:\udOur data suggest that post-stroke rehabilitation profiles could be identified using routine assessment tools and showed differential recovery. If confirmed, these findings might help to develop tailored interventions to optimize recovery of older stroke patients.
机译:背景:卒中是老年人残疾的主要原因,但急性后治疗的证据有限且种类繁多。我们旨在确定接受中级老年病康复单元治疗的成年中风幸存者的概况。\ ud \ ud方法:\ ud我们进行了一项队列研究,招募了年龄在65岁以上的中风幸存者,入选了加泰罗尼亚-西班牙的9个中级保健单元。为了确定潜在的特征,我们在聚类分析中包括了年龄,照顾者的存在,合并症,中风前和中风后残疾,认知障碍和中风严重程度。我们还为临床实践中的患者分类提出了实用的决策树。我们分析了功能改善(Barthel指数),相对功能获得(Montebello指数),住院时间(LOS),康复效率(LOS改善的功能)和使用多变量回归模型的新制度化(连续和二分法)之间的差异结果\ ud \ ud结果:\ ud在384例患者(79.1±7.9岁,女性占50.8%)中,我们确定了3种复杂情况:a)有照顾者的较低复杂度(LCC),b)没有照顾者的中等复杂度(MCN),以及c)照顾者(HCC)的复杂性更高。决策树显示出与聚类分析的高度一致(96.6%)。使用线性(连续结果)或逻辑回归,与肝癌相比,LCC和MCN均显示出统计学上更高的功能改善机会(OR = 4.68,95%CI = 2.54–8.63,OR = 3.0,95%CI = 1.52 –5.87,对于Barthel指数改善= 20),相对功能增益(对于顶部Vs和较低三分位数,OR = 4.41,95%CI = 1.81-10.75,OR = 3.45,95%CI = 1.31-9.04),和康复效率(顶部VS低三分位数分别为OR = 7.88,95%CI = 3.65–17.03和OR = 3.87,95%CI = 1.69–8.89)。就LOS而言,与LOS相比,MCN簇具有更低的机会比LCC(OR = 0.41,95%CI = 0.23–0.75)和HCC(OR = 0.37,95%CI = 0.19–0.73)短,而LOS较低,而三分位数较高结论:\ ud我们的数据表明,可以使用常规评估工具来识别中风后的康复情况,并显示差异恢复。如果得到证实,这些发现可能有助于制定针对性的干预措施,以优化中风老年患者的康复。

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