Andrezza Tayonara Lins Melo, K. Menezes, Claudine Auger, J. D. S. Barbosa, W. R. S. Menezes, Ricardo Oliveira Guerra
{"title":"SPPB as a predictor of functional loss of hospitalized older adults","authors":"Andrezza Tayonara Lins Melo, K. Menezes, Claudine Auger, J. D. S. Barbosa, W. R. S. Menezes, Ricardo Oliveira Guerra","doi":"10.1590/fm.2022.35108","DOIUrl":null,"url":null,"abstract":"Abstract Introduction: Immobility is associated with adverse outcomes such as loss of functional capacity and longer hospitalization. Objective: To assess intra-hospital mobility at admission as a predictor of loss of functional capacity during older adults´ hospitalization. Methods: A prospective cohort study was conducted, and personal and hospital related risk factors were assessed at admission and discharge. To determine whether Short Physical Performance Battery (SPPB) on admission could predict loss of functional capacity during hospitalization, a ROC curve was performed and area under the curve (AUC) was calculated. Binary logistic regression models were used to identify predictors of loss of functional capacity. Model 1 contained only SPPB. Model 2 SPPB was matched with age, sex, instrumental activity of daily living (IADL), cognition, depression and surgery. Data were entered into SPSS version 18.0. Results: 1,191 patients were included with a mean age of 70.02 (± 7.34). SPPB cutoff point of 6.5 (sensitivity 62%, specificity 54%) identified 593 (49.8%) patients at risk for functional loss. In logistic regression, SPPB alone showed prediction of functional loss (p < 0.001, OR 1.8, 95% CI = 1.5-2.5) between admission and discharge. Model 1 explained between 22 to 32% of the variation in functional capacity. In Model 2, three variables contributed to the loss. SPPB 6.5 increased 1.8 times (95% CI = 1.3-2.4), being a woman increased 1.4 times (95% CI = 1.0-1.8) and not having surgery increased 2 times (95% CI = 1.4-2.8) the chance of having functional loss during hospitalization. Conclusion: SPPB is a good instrument to predict loss of functional capacity in hospitalized older adults.","PeriodicalId":33749,"journal":{"name":"Fisioterapia em Movimento","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fisioterapia em Movimento","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/fm.2022.35108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Introduction: Immobility is associated with adverse outcomes such as loss of functional capacity and longer hospitalization. Objective: To assess intra-hospital mobility at admission as a predictor of loss of functional capacity during older adults´ hospitalization. Methods: A prospective cohort study was conducted, and personal and hospital related risk factors were assessed at admission and discharge. To determine whether Short Physical Performance Battery (SPPB) on admission could predict loss of functional capacity during hospitalization, a ROC curve was performed and area under the curve (AUC) was calculated. Binary logistic regression models were used to identify predictors of loss of functional capacity. Model 1 contained only SPPB. Model 2 SPPB was matched with age, sex, instrumental activity of daily living (IADL), cognition, depression and surgery. Data were entered into SPSS version 18.0. Results: 1,191 patients were included with a mean age of 70.02 (± 7.34). SPPB cutoff point of 6.5 (sensitivity 62%, specificity 54%) identified 593 (49.8%) patients at risk for functional loss. In logistic regression, SPPB alone showed prediction of functional loss (p < 0.001, OR 1.8, 95% CI = 1.5-2.5) between admission and discharge. Model 1 explained between 22 to 32% of the variation in functional capacity. In Model 2, three variables contributed to the loss. SPPB 6.5 increased 1.8 times (95% CI = 1.3-2.4), being a woman increased 1.4 times (95% CI = 1.0-1.8) and not having surgery increased 2 times (95% CI = 1.4-2.8) the chance of having functional loss during hospitalization. Conclusion: SPPB is a good instrument to predict loss of functional capacity in hospitalized older adults.
摘要:不活动与不良后果相关,如功能丧失和住院时间延长。目的:评估入院时院内活动能力作为老年人住院期间功能丧失的预测指标。方法:进行前瞻性队列研究,并在入院和出院时评估个人和医院相关的危险因素。为了确定入院时的短物理性能电池(Short Physical Performance Battery, SPPB)是否能预测住院期间功能容量的丧失,我们绘制ROC曲线并计算曲线下面积(AUC)。二元逻辑回归模型用于识别功能能力丧失的预测因子。模型1仅含SPPB。模型2 SPPB与年龄、性别、日常生活工具活动(IADL)、认知、抑郁和手术相匹配。数据输入SPSS 18.0版本。结果:纳入1191例患者,平均年龄70.02(±7.34)岁。SPPB截断点为6.5(敏感性62%,特异性54%),确定593例(49.8%)患者存在功能丧失风险。在logistic回归中,仅SPPB可预测入院和出院期间的功能丧失(p < 0.001, OR 1.8, 95% CI = 1.5-2.5)。模型1解释了22%至32%的功能容量变化。在模型2中,三个变量对损失有贡献。sppb6.5增加1.8倍(95% CI = 1.3-2.4),女性增加1.4倍(95% CI = 1.0-1.8),未接受手术的住院期间功能丧失的机会增加2倍(95% CI = 1.4-2.8)。结论:SPPB是预测住院老年人功能能力丧失的良好工具。