Inouye S K, Wagner D R, Acampora D, Horwitz R I, Cooney L M, Hurst L D, Tinetti M E
Department of Internal Medicine, Yale University School of Medicine, New Haven, CT.
J Gen Intern Med. 1993 Dec;8(12):645-52. doi: 10.1007/BF02598279.
To prospectively develop and validate a predictive index to identify on admission elderly hospitalized medical patients at risk for functional decline.
Two prospective cohort studies, in tandem. The predictive model developed in the initial cohort was subsequently validated in a separate cohort.
General medical wards of a university teaching hospital.
For the development cohort, 188 hospitalized general medical patients aged > or = 70 years. For the validation cohort, 142 comparable patients.
The subjects and their nurses were interviewed twice weekly using standardized, validated instruments. Functional decline occurred among 51/188 (27%) patients in the development cohort. Four independent baseline risk factors (RFs) for functional decline were identified: decubitus ulcer (adjusted relative risk [RR] 2.7; 95% confidence interval [CI] 1.4, 5.2); cognitive impairment (RR 1.7; CI 0.9, 3.1); functional impairment (RR 1.8; CI 1.0, 3.3); and low social activity level (RR 2.4; CI 1.2, 5.1). A risk-stratification system was developed by adding the numbers of RFs. Rates of functional decline for the low- (0 RF), intermediate- (1-2 RFs), and high- (3-4 RFs) risk groups were 8%, 28%, and 63%, respectively (p < 0.0001). The corresponding rates in the validation cohort, of whom 34/142 (24%) developed functional decline, were 6%, 29%, and 83% (p < 0.0001). The rates of death or nursing home placement, clinical outcomes associated with functional decline in the hospital, were 6%, 19%, and 41% (p < 0.002) in the development cohort and 10%, 32%, and 67% (p < 0.001) in the validation cohort, respectively, for the three risk groups.
Functional decline among hospitalized elderly patients is common, and a simple predictive model based on four risk factors can be used on admission to identify elderly persons at greatest risk.
前瞻性地开发并验证一种预测指数,以识别入院时存在功能下降风险的老年住院内科患者。
两项串联的前瞻性队列研究。在初始队列中开发的预测模型随后在另一个队列中进行验证。
一所大学教学医院的普通内科病房。
对于开发队列,188名年龄≥70岁的住院普通内科患者。对于验证队列,142名可比患者。
使用标准化、经过验证的工具,每周对受试者及其护士进行两次访谈。在开发队列中,51/188(27%)的患者出现了功能下降。确定了功能下降的四个独立基线风险因素(RFs):褥疮(调整后相对风险[RR]2.7;95%置信区间[CI]1.4,5.2);认知障碍(RR 1.7;CI 0.9,3.1);功能障碍(RR 1.8;CI 1.0,3.3);以及低社会活动水平(RR 2.4;CI 1.2,5.1)。通过将RFs的数量相加,开发了一种风险分层系统。低风险(0个RF)、中度风险(1 - 2个RFs)和高风险(3 - 4个RFs)组的功能下降率分别为8%、28%和63%(p < 0.0001)。在验证队列中,34/142(24%)的患者出现了功能下降,相应的比率分别为6%、29%和83%(p < 0.0001)。对于三个风险组,在开发队列中与医院内功能下降相关的死亡或入住养老院的比率分别为6%、19%和41%(p < 0.002),在验证队列中分别为10%、32%和67%(p < 0.001)。
住院老年患者的功能下降很常见,基于四个风险因素的简单预测模型可在入院时用于识别风险最高的老年人。