减少慢性免疫性血小板减少患者疲劳的可能目标-一项探索性研究。

Wobke E M van Dijk, Merel M Nap-van der Vlist, Hans Knoop, Roger E G Schutgens
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引用次数: 1

摘要

免疫性血小板减少症(ITP)的疲劳是常见和繁重的,但我们缺乏相关知识来帮助这些患者。目的本研究的目的是探讨疾病活动和其他潜在的可改变因素在疲劳中的作用。方法横断面研究纳入成人慢性ITP患者59例。使用单变量线性回归(校正混杂因素)来确定疾病活动(血小板计数9 /L或治疗)、疾病特异性因素(出血症状、铁蛋白)和跨诊断因素(FACT-G身体/功能/情感/社会健康亚量表、身体活动水平和维生素D)与疲劳(核对表个人力量疲劳亚量表)之间的关系。采用多变量聚类模型比较疲劳的解释方差比例(调整后r2)。结果身体和功能幸福感与疲劳、体力活动与疲劳之间存在中等效应量(>0.50)的显著关系。其他与疲劳的显著关系(效应值0.30-0.47)包括皮肤和器官出血、情绪和社会幸福感、维生素D和疾病活动。值得注意的是,带有疾病活动性和疾病特异性因素的模型解释了50%。仅维生素D就能解释12%的疲劳差异。结论跨诊断(非疾病特异性)因素而非疾病特异性因素解释了itp相关疲劳的很大一部分差异。与疲劳有关的许多因素是可以改变的,应该作为干预的目标进行调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Possible Targets to Reduce Fatigue in Chronic Immune Thrombocytopenia Patients - An Explorative Study.

Background  Fatigue in immune thrombocytopenia (ITP) is frequent and burdensome, but we lack the knowledge to help these patients. Aim  The aim of the study is to explore the role of disease activity and other potentially modifiable factors in fatigue. Method  This cross-sectional study included adult chronic ITP patients ( n  = 59). Univariable linear regression (corrected for confounders) was used to determine the relationship between disease activity (platelet count <30 × 10 9 /L or treatment), disease-specific factors (bleeding symptoms, ferritin), and transdiagnostic factors (FACT-G physical/functional/emotional/social well-being subscales, physical activity level, and vitamin D) and fatigue (Checklist Individual Strength fatigue subscale). Several multivariable models with clustered sets of variables were used to compare the proportion of explained variance of fatigue (adjusted R 2 ). Results  Significant relations with moderate effect sizes (>0.50) were found for physical and functional well-being and fatigue, and physical activity and fatigue. Other significant relations with fatigue (effect size 0.30-0.47) included skin and organ bleeding, emotional and social well-being, vitamin D, and disease activity. Notably, the models with disease activity and disease-specific factors explained <20% of the variance in fatigue, while the models with transdiagnostic factors (functioning and physical activity) explained >50%. Vitamin D alone explained 12% of the variance in fatigue. Conclusion  Transdiagnostic (non-disease-specific) rather than disease-specific factors explained a large part of the variance in ITP-related fatigue. Many factors related to fatigue are potentially modifiable and should be investigated as targets for interventions.

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