Chen Qiong, Huang Yanjin, Xu Limin, Chen Xiaomei
Department of Intensive Care Medicine, Xiamen Haicang Hospital, Xiamen, Fujian, People's Republic of China.
Department of Nursing, Xiamen Haicang Hospital, Xiamen, Fujian, People's Republic of China.
Int J Gen Med. 2025 Jun 12;18:3093-3103. doi: 10.2147/IJGM.S513018. eCollection 2025.
This study investigated the trajectories of fatigue symptoms in post-intensive care syndrome among family members (PICS-F) and aimed to explore the sociodemographic and clinical factors related to these trajectories.
This was a longitudinal observational study conducted in an intensive care unit (ICU) of a tertiary hospital in Xiamen, China. Data were collected when adult patients were transferred from the ICU to the ordinary ward of the hospital or discharged, and at 1 month, 2 months, and 3 months later. Fatigue symptoms were assessed using the Fatigue Severity subscale, and sociodemographic and clinical information was collected. The study used latent growth mixture modelling to construct the trajectories of fatigue symptoms, and logistic regression was used to identify the factors associated with fatigue.
A total of 133 family members with PICS-F were included. Four trajectories of fatigue symptoms were identified and attributed to two groups. Controlling for individual's age and severity of illness, the length of stay in the ICU and in the hospital increased the odds of belonging to the fatigue group, whereas a lower level of dependence (higher Barthel index score) was a protective factor for the non-fatigue group.
Four distinct trajectories of fatigue symptoms were identified. Longer ICU stays and hospitalization durations of patients may increase the risk of fatigue of PICS-F, while a lower level of dependence has the potential to reduce the risk of fatigue. Further multicenter studies with larger sample sizes and diverse populations are needed to validate this hypothesis.
本研究调查了重症监护后综合征患者家属（PICS-F）疲劳症状的轨迹，并旨在探索与这些轨迹相关的社会人口学和临床因素。
这是一项在中国厦门一家三级医院的重症监护病房（ICU）进行的纵向观察性研究。在成年患者从ICU转至医院普通病房或出院时，以及1个月、2个月和3个月后收集数据。使用疲劳严重程度分量表评估疲劳症状，并收集社会人口学和临床信息。该研究采用潜在增长混合模型构建疲劳症状轨迹，并使用逻辑回归确定与疲劳相关的因素。
共纳入133名患有PICS-F的家属。确定了四条疲劳症状轨迹并归为两组。在控制个体年龄和疾病严重程度的情况下，在ICU和医院的住院时间增加了属于疲劳组的几率，而较低的依赖程度（较高的巴氏指数评分）是非疲劳组的保护因素。
确定了四条不同的疲劳症状轨迹。患者在ICU和住院时间较长可能会增加PICS-F患者家属疲劳的风险，而较低的依赖程度有可能降低疲劳风险。需要进一步开展更大样本量和不同人群的多中心研究来验证这一假设。
