首页> 外文期刊>Sleep & breathing =: Schlaf & Atmung >Predictors of fatigue in obstructive sleep apnea.
【24h】

Predictors of fatigue in obstructive sleep apnea.

机译:阻塞性睡眠呼吸暂停疲劳的预测指标。

获取原文
获取原文并翻译 | 示例
           

摘要

The objective of this study was to determine potential inflammatory predictors of fatigue in obstructive sleep apnea (OSA).Fifty-six women and men untreated OSA patients had their sleep monitored with polysomnography. Fatigue was assessed by the Multidimensional Fatigue Symptom Inventory-Short Form. Depressed mood was assessed by the Center for Epidemiologic Studies-Depression Scale. Blood was drawn to assess circulating levels of Interleukin-6 (IL-6) and soluble tumor necrosis factor receptor I (sTNF-RI). Age, gender, body mass index (BMI), blood pressure, OSA severity, depressed mood, and inflammatory biomarkers were entered into a hierarchical multiple linear regression analysis predicting self-reported fatigue.Approximately 42% of the patients reported significant amounts of fatigue. Higher BMI (p = 0.014), greater depressed mood (p = 0.004), and higher sTNF-RI levels (p = 0.033) were independent predictors of fatigue in the final model (full model R2 = .571; p = .003). Age, gender, blood pressure and apnea severity were unrelated to fatigue.The findings suggest that in addition to depressed mood, fatigue in OSA may be associated with increased body weight and elevated levels of the proinflammatory cytokine receptor sTNF-RI. The findings support a linkage between the widely reported fatigue in OSA and a sleep-related component of inflammation.
机译:这项研究的目的是确定阻塞性睡眠呼吸暂停(OSA)中潜在的疲劳炎症指标。对56例未经治疗的OSA患者进行多导睡眠图监测睡眠。通过多维疲劳症状库存量-简短表格评估疲劳。抑郁情绪由流行病学研究中心抑郁量表评估。抽血以评估白细胞介素6(IL-6)和可溶性肿瘤坏死因子受体I(sTNF-RI)的循环水平。将年龄,性别,体重指数(BMI),血压,OSA严重程度,情绪低落和炎症生物标志物输入到预测自我报告的疲劳的分层多元线性回归分析中。约42%的患者报告了明显的疲劳。在最终模型中,较高的BMI(p = 0.014),较高的沮丧情绪(p = 0.004)和较高的sTNF-RI水平(p = 0.033)是疲劳的独立预测因子(完整模型R2 = .571; p = .003) 。年龄,性别,血压和呼吸暂停严重程度与疲劳无关。研究结果表明,除了情绪低落外,OSA疲劳还可能与体重增加和促炎细胞因子受体sTNF-RI水平升高有关。这些发现支持了广泛报道的OSA疲劳与炎症相关的睡眠相关因素之间的联系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号