Department of Internal Medicine and Geriatrics, University of Groningen, University Medical Center Groningen, P.O. Box 30001, 9700, RB, Groningen, The Netherlands.
Department of Geriatrics, Gelre Hospitals, Apeldoorn, The Netherlands.
BMC Geriatr. 2022 Jan 3;22(1):12. doi: 10.1186/s12877-021-02714-9.
Fatigability is an important marker of functional decline in community dwelling older people, yet its relationship with functional decline after hospitalization is unclear. The objectives of this study were to identify trajectories of fatigability and mobility over time and to examine the association between demographic and clinical characteristics and these trajectories in medical patients aged 70 years and older admitted to a Dutch tertiary care teaching hospital.
In this prospective cohort study with baseline (in-hospital), discharge, three-, and six-months post discharge follow-up measurements, fatigability was assessed by the physical subscale of the Pittsburgh Fatigability Scale (PFS). Mobility was assessed by the De Morton Mobility Index (DEMMI). Group-based trajectory modeling was used to identify joint trajectories of fatigability and mobility. Covariates included demographic (age, sex, living situation, education) and clinical characteristics (functional status, frailty status, depression, comorbidity, length of hospital stay).
Among 44 patients, three distinct fatigability trajectories and two mobility trajectories were identified over the course from hospital admission up to six months after discharge. Subsequently, three joint trajectories were identified, including low fatigability and high mobility (11%), improving fatigability and high mobility (52%), and high fatigability and low mobility (36%). Controlling for baseline functional status, patients with a lower comorbidity score (OR: 0.27, 95%CI 0.10; 0.74) and higher frailty status (OR: 1.36, 95%CI: 1.07; 1.74) were more likely to be a member of the high fatigability and low mobility trajectories.
From hospital admission up to six months after discharge, three distinct trajectories of fatigability and mobility were identified among older medical patients. Our results should be interpreted with caution due to the small sample size, but may inspire other researchers to determine the value of fatigability assessment in identifying older medical patients at risk for developing mobility problems.
疲劳是社区居住的老年人功能下降的一个重要标志,但它与住院后功能下降的关系尚不清楚。本研究的目的是确定老年人的疲劳和移动轨迹,并探讨人口统计学和临床特征与这些轨迹的关系,这些轨迹是在荷兰一家三级护理教学医院住院的老年患者中发现的。
本前瞻性队列研究包括基线(住院期间)、出院、出院后 3 个月和 6 个月的随访测量,疲劳通过匹兹堡疲劳量表(PFS)的身体分量表进行评估。移动性通过德莫顿移动指数(DEMMI)进行评估。采用基于群组的轨迹建模方法识别疲劳和移动性的联合轨迹。协变量包括人口统计学(年龄、性别、生活状况、教育)和临床特征(功能状态、虚弱状态、抑郁、合并症、住院时间)。
在 44 名患者中,从住院到出院后 6 个月期间确定了三种不同的疲劳轨迹和两种移动性轨迹。随后,确定了三种联合轨迹,包括低疲劳和高移动性(11%)、疲劳改善和高移动性(52%)以及高疲劳和低移动性(36%)。控制基线功能状态后,合并症评分较低的患者(比值比:0.27,95%置信区间:0.10;0.74)和衰弱状态较高的患者(比值比:1.36,95%置信区间:1.07;1.74)更有可能成为高疲劳和低移动性轨迹的一员。
从住院到出院后 6 个月,在老年医疗患者中确定了三种不同的疲劳和移动轨迹。由于样本量小,我们的结果应谨慎解释,但可能会激发其他研究人员确定疲劳评估在识别有移动问题风险的老年医疗患者中的价值。