{"title":"使用可穿戴设备比较肺癌患者和无癌症对照组的主观和客观疲劳程度","authors":"Ting-Ling Chou , Chi-Huang Shih , Pai-Chien Chou , Jun-Hung Lai , Tsai-Wei Huang","doi":"10.1016/j.ejon.2024.102587","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><p>The study evaluates the use of heart rate variability (HRV), a measure of autonomic nervous system (ANS) modulation via wearable smart bands, to objectively assess cancer-related fatigue (CRF) levels. It aims to enhance understanding of fatigue by distinguishing between LF/HF ratios and LF/HF disorder ratios through HRV and photoplethysmography (PPG), identifying them as potential biomarkers.</p></div><div><h3>Methods</h3><p>Seventy-one lung cancer patients and 75 non-cancer controls wore smart bands for one week. Fatigue was assessed using Brief Fatigue Inventory, alongside sleep quality and daily interference. HRV parameters were analyzed to compare groups.</p></div><div><h3>Results</h3><p>Cancer patients showed higher fatigue and interference levels than controls (64.8% vs. 54.7%). Those with mild fatigue had elevated LF/HF disorder ratios during sleep (40% vs. 20%, P = 0.01), similar to those with moderate to severe fatigue (50% vs. 20%, P = 0.01), indicating more significant autonomic dysregulation. Notably, mild fatigue patients had higher mean LF/HF ratios than controls (1.9 ± 1.34 vs. 1.2 ± 0.6, P = 0.01), underscoring the potential of disorder ratios in signaling fatigue severity.</p></div><div><h3>Conclusions</h3><p>Utilizing wearable smart bands for HRV-based analysis is feasible for objectively assess CRF levels in cancer patients, especially during sleep. By distinguishing between LF/HF ratios and LF/HF disorder ratios, our findings suggest that wearable technology and detailed HRV analysis offer promising avenues for real-time fatigue monitoring. This approach has the potential to significantly improve cancer care by providing new methods for managing and intervening in CRF, particularly with a focus on autonomic dysregulation as a crucial factor.</p></div>","PeriodicalId":51048,"journal":{"name":"European Journal of Oncology Nursing","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Use of a wearable device to compare subjective and objective fatigue in lung cancer patients and cancer-free controls\",\"authors\":\"Ting-Ling Chou , Chi-Huang Shih , Pai-Chien Chou , Jun-Hung Lai , Tsai-Wei Huang\",\"doi\":\"10.1016/j.ejon.2024.102587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><p>The study evaluates the use of heart rate variability (HRV), a measure of autonomic nervous system (ANS) modulation via wearable smart bands, to objectively assess cancer-related fatigue (CRF) levels. It aims to enhance understanding of fatigue by distinguishing between LF/HF ratios and LF/HF disorder ratios through HRV and photoplethysmography (PPG), identifying them as potential biomarkers.</p></div><div><h3>Methods</h3><p>Seventy-one lung cancer patients and 75 non-cancer controls wore smart bands for one week. Fatigue was assessed using Brief Fatigue Inventory, alongside sleep quality and daily interference. HRV parameters were analyzed to compare groups.</p></div><div><h3>Results</h3><p>Cancer patients showed higher fatigue and interference levels than controls (64.8% vs. 54.7%). Those with mild fatigue had elevated LF/HF disorder ratios during sleep (40% vs. 20%, P = 0.01), similar to those with moderate to severe fatigue (50% vs. 20%, P = 0.01), indicating more significant autonomic dysregulation. Notably, mild fatigue patients had higher mean LF/HF ratios than controls (1.9 ± 1.34 vs. 1.2 ± 0.6, P = 0.01), underscoring the potential of disorder ratios in signaling fatigue severity.</p></div><div><h3>Conclusions</h3><p>Utilizing wearable smart bands for HRV-based analysis is feasible for objectively assess CRF levels in cancer patients, especially during sleep. By distinguishing between LF/HF ratios and LF/HF disorder ratios, our findings suggest that wearable technology and detailed HRV analysis offer promising avenues for real-time fatigue monitoring. 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引用次数: 0
摘要
目的 该研究评估了心率变异性(HRV)的使用情况,心率变异性是通过可穿戴智能手环测量自律神经系统(ANS)调节的一种方法,可客观评估癌症相关疲劳(CRF)水平。该研究旨在通过心率变异和光电血压计(PPG)区分低频/高频比率和低频/高频失调比率,将其确定为潜在的生物标记物,从而加深对疲劳的理解。方法71名肺癌患者和75名非癌症对照组患者佩戴智能手环一周。使用简易疲劳量表对疲劳进行评估,同时评估睡眠质量和日常干扰。结果 癌症患者的疲劳和干扰程度高于对照组(64.8% 对 54.7%)。轻度疲劳患者在睡眠期间的低频/高频失调比率升高(40% vs. 20%,P = 0.01),与中重度疲劳患者相似(50% vs. 20%,P = 0.01),表明自律神经失调更为严重。值得注意的是,与对照组相比,轻度疲劳患者的平均 LF/HF 比值更高(1.9 ± 1.34 vs. 1.2 ± 0.6,P = 0.01),这说明失调比值在提示疲劳严重程度方面具有潜力。通过区分低频/高频比率和低频/高频失调比率,我们的研究结果表明,可穿戴技术和详细的心率变异分析为实时疲劳监测提供了很好的途径。这种方法提供了管理和干预 CRF 的新方法,特别是将自主神经失调作为一个关键因素,从而有可能大大改善癌症护理。
Use of a wearable device to compare subjective and objective fatigue in lung cancer patients and cancer-free controls
Purpose
The study evaluates the use of heart rate variability (HRV), a measure of autonomic nervous system (ANS) modulation via wearable smart bands, to objectively assess cancer-related fatigue (CRF) levels. It aims to enhance understanding of fatigue by distinguishing between LF/HF ratios and LF/HF disorder ratios through HRV and photoplethysmography (PPG), identifying them as potential biomarkers.
Methods
Seventy-one lung cancer patients and 75 non-cancer controls wore smart bands for one week. Fatigue was assessed using Brief Fatigue Inventory, alongside sleep quality and daily interference. HRV parameters were analyzed to compare groups.
Results
Cancer patients showed higher fatigue and interference levels than controls (64.8% vs. 54.7%). Those with mild fatigue had elevated LF/HF disorder ratios during sleep (40% vs. 20%, P = 0.01), similar to those with moderate to severe fatigue (50% vs. 20%, P = 0.01), indicating more significant autonomic dysregulation. Notably, mild fatigue patients had higher mean LF/HF ratios than controls (1.9 ± 1.34 vs. 1.2 ± 0.6, P = 0.01), underscoring the potential of disorder ratios in signaling fatigue severity.
Conclusions
Utilizing wearable smart bands for HRV-based analysis is feasible for objectively assess CRF levels in cancer patients, especially during sleep. By distinguishing between LF/HF ratios and LF/HF disorder ratios, our findings suggest that wearable technology and detailed HRV analysis offer promising avenues for real-time fatigue monitoring. This approach has the potential to significantly improve cancer care by providing new methods for managing and intervening in CRF, particularly with a focus on autonomic dysregulation as a crucial factor.
期刊介绍:
The European Journal of Oncology Nursing is an international journal which publishes research of direct relevance to patient care, nurse education, management and policy development. EJON is proud to be the official journal of the European Oncology Nursing Society.
The journal publishes the following types of papers:
• Original research articles
• Review articles