Decreased Cardiac Autonomic Function is Associated with Higher Exacerbation Risk and Symptom Burden in Chronic Obstructive Pulmonary Disease.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Sarath Raju, Han Woo, Ashraf Fawzy, Nirupama Putcha, Aparna Balasubramanian, Stephen C Mathai, Ronald D Berger, Nadia N Hansel, Meredith C McCormack
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Abstract

Current measures of chronic obstructive pulmonary disease (COPD) severity, including lung function, do not fully explain symptom burden, and there is a need to identify predictors of exacerbation risk and morbidity. Autonomic dysfunction may be implicated in both cardiovascular and respiratory morbidity in COPD and convey risk for exacerbations. Heart rate variability (HRV) is a marker of cardiac autonomic function that is predictive of cardiovascular health and has promise as a non-invasive COPD biomarker. The CLEAN AIR Heart study provided an opportunity to investigate the association between HRV and COPD morbidity among former smokers with moderate-severe COPD. Eighty-five participants, contributing 305 HRV measurements, underwent repeated clinical assessments over 4 study periods that included a 24-Holter monitoring assessment of HRV. HRV measures of interest were standard deviation of normal-to-normal intervals, (SDNN) (overall HRV) and root-mean-square of successive differences (RMSSD) (parasympathetic function). Exacerbation risk was assessed using negative binomial models, and mixed-effects models analyzed associations between HRV and symptoms. Decreases in SDNN (incidence rate ratio [IRR]1.40; 95% confidence interval [CI] 1.13 to1.74) and RMSSD (IRR 1.60; 95% CI 1.07 to 2.37) were associated with severe exacerbation risk. Decreases in SDNN were associated with higher St George's Respiratory Questionnaire scores, COPD Assessment Test scores, and chronic bronchitis symptoms. Findings demonstrate that HRV is associated with COPD symptom burden and exacerbation risk. HRV may represent an important biomarker with the potential to identify high-risk COPD populations.

心脏自主神经功能降低与慢性阻塞性肺病加重风险和症状负担增加有关。
目前对慢性阻塞性肺病(COPD)严重程度的测量方法(包括肺功能)并不能完全解释症状负担,因此有必要确定恶化风险和发病率的预测因素。自主神经功能障碍可能与慢性阻塞性肺病的心血管和呼吸系统发病率有关,并可传递病情加重的风险。心率变异性(HRV)是心脏自律神经功能的标志物,可预测心血管健康状况,有望成为慢性阻塞性肺病的无创生物标志物。CLEAN AIR 心脏研究提供了一个机会来调查中度-重度慢性阻塞性肺病前吸烟者的心率变异与慢性阻塞性肺病发病率之间的关系。85 名参与者共进行了 305 次心率变异测量,在 4 个研究期间接受了重复临床评估,其中包括 24 小时心率变异监测评估。心率变异测量指标包括正常至正常间期的标准偏差(SDNN)(整体心率变异)和连续差值的均方根(RMSSD)(副交感神经功能)。采用负二项模型评估病情恶化风险,混合效应模型分析心率变异与症状之间的关联。SDNN(发病率比 [IRR] 1.40;95% 置信区间 [CI] 1.13 至 1.74)和 RMSSD(发病率比 [IRR] 1.60;95% 置信区间 [CI] 1.07 至 2.37)的降低与严重恶化风险有关。SDNN的降低与圣乔治呼吸问卷评分、慢性阻塞性肺病评估测试评分和慢性支气管炎症状的升高有关。研究结果表明,心率变异与慢性阻塞性肺病的症状负担和恶化风险有关。心率变异可能是一种重要的生物标志物,具有识别慢性阻塞性肺病高危人群的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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