Six years of followup data on fatigue (Medical Outcomes Study Short Form-36 Vitality scale) came from the Cohort Hip and Cohort Knee (CHECK) cohort. Growth mixture modeling was applied to identify distinct fatigue trajectories as well as to take into account the effects of the patient characteristics.
Three fatigue trajectories were identified: low fatigue, low-to-high fatigue, and high fatigue. Latter trajectories showed considerable overlap from years 2 to 6, but differed in some patient characteristics in comparison with each other and in comparison with the low fatigue group. Comorbidity, medication use, and sex were significantly associated with the identified trajectories. Women, individuals with a comorbid disease, and those who used medication were more likely to follow a high fatigue trajectory.
These findings suggest heterogeneous development of fatigue in the early OA population associated with varying patient characteristics. Further, this study shows that a considerable number of patients with OA already experience elevated levels of fatigue at an early stage of OA. While these findings need to be replicated, the identification of these trajectories with differing patient characteristics may warrant tailored psychosocial interventions for patients with elevated levels of fatigue.
六年的疲劳随访数据(医学结果研究简短形式-36活力量表)来自队列髋关节和队列膝关节(CHECK)队列。应用生长混合模型来识别不同的疲劳轨迹,并考虑患者特征的影响。
确定了三个疲劳轨迹:低疲劳,从低到高的疲劳,和高疲劳。从第2年到第6年,后期轨迹显示出相当大的重叠,但与彼此相比以及与低疲劳组相比,某些患者特征有所不同。合并症,药物使用,和性别与确定的轨迹显着相关。女人,患有共病的个体,那些使用药物的人更有可能遵循高疲劳轨迹。
这些研究结果表明,早期OA人群中疲劳的异质性发展与不同的患者特征有关。Further,这项研究表明,相当多的OA患者在OA早期已经出现了较高的疲劳感.虽然这些发现需要重复,识别这些具有不同患者特征的轨迹可能需要为疲劳程度升高的患者提供量身定制的心理社会干预措施.