School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Department of Medicine for the Elderly, Addenbrooke's Hospital, Cambridge, UK.
Geriatr Gerontol Int. 2019 Apr;19(4):305-310. doi: 10.1111/ggi.13623. Epub 2019 Feb 18.
The mobility trajectories of hospitalized older people are heterogeneous, and there is a need to understand patient groups with similar trajectories. Our aims were to identify mobility trajectories of older patients admitted to geriatric wards in an English university hospital, and describe patient characteristics and outcomes associated with different mobility groups.
A retrospective observational study of first admissions to geriatric wards for 3 months starting 1 May 2016 was carried out. Anonymized routinely collected clinical data was extracted from the electronic patient records: age, sex, Clinical Frailty Scale score, presence of delirium (yes/no), diagnosis of dementia (yes/no), Charlson Comorbidity Index, falls in the past year and the highest recorded Modified Early Warning Score in the Emergency Department. Physiotherapists routinely collected the Elderly Mobility Scale on admission and discharge; this information was entered in a K-means cluster analysis to identify mobility trajectory groups. We compared clinical characteristics and outcomes between these groups and used logistic regression models to determine independent predictors of group membership.
The overall functional trajectory was improvement, from a median Elderly Mobility Scale of 11 on admission to 14 on discharge. Cluster analysis identified five mobility trajectory groups: low-low (n = 117), intermediate-intermediate (n = 95), intermediate-high (n = 205), low-high (n = 89) and high-high (n = 209). Higher frailty and the presence of cognitive impairment were associated with the low-low and intermediate-intermediate group membership, and negatively associated with the high-high group membership.
The majority of hospitalized patients experienced functional improvement. Frailty and cognitive impairment might be associated with poorer mobility trajectories and hence require early identification. Geriatr Gerontol Int 2019; 19: 305-310.
住院老年人的活动轨迹具有异质性,因此需要了解具有相似轨迹的患者群体。我们的目的是确定入住英国大学医院老年病房的老年患者的活动轨迹,并描述与不同活动轨迹组相关的患者特征和结局。
这是一项回顾性观察研究,纳入 2016 年 5 月 1 日起入住老年病房 3 个月的首次入院患者。从电子患者记录中提取了匿名的常规收集的临床数据:年龄、性别、临床虚弱量表评分、是否存在谵妄(是/否)、是否诊断为痴呆(是/否)、Charlson 合并症指数、过去 1 年是否跌倒以及急诊室最高记录的改良早期预警评分。理疗师常规在入院和出院时收集老年人活动量表;这些信息被输入 K-均值聚类分析中,以确定活动轨迹组。我们比较了这些组之间的临床特征和结局,并使用逻辑回归模型确定了组内成员的独立预测因素。
整体功能轨迹是改善,从入院时的中位数老年人活动量表评分 11 提高到出院时的 14。聚类分析确定了 5 个活动轨迹组:低-低(n=117)、中-中(n=95)、中-高(n=205)、低-高(n=89)和高-高(n=209)。较高的虚弱程度和认知障碍与低-低和中-中组有关,与高-高组负相关。
大多数住院患者的功能得到改善。虚弱和认知障碍可能与较差的活动轨迹相关,因此需要早期识别。