Shi-Wah Lee , Zulfitri Azuan Mat Daud , Jun-Hao Lim , Cordelia-Kheng-May Lim , Imliya Ibrahim , Yoke-Mun Chan , Nor Fadhlina Zakaria
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PhA was measured by a multi-frequency bioelectrical impedance analysis device at 50kHz. Multivariable logistic regression was used to determine predictability of PhA on sarcopenia. Receiver operating characteristics analysis was used to evaluate the discriminative performance of PhA in detecting sarcopenia. Optimal gender-specific PhA cut-off values for sarcopenia detection were determined based on desired sensitivity and specificity.</p></div><div><h3>Results</h3><p>Sarcopenia was identified in 25.4% of the PD patients. PhA emerged as an independent predictor of sarcopenia (adjOR= 0.147; 95%CI =0.042–0.516; <em>P</em> =0.003), exhibiting excellent discriminative power in identifying sarcopenia (adjAUC<sub>overall</sub>= 0.818±0.041; bootstrapped 95%CI =0.734–0.899, <em>P <0.001</em>). The optimal PhA cut-off values for sarcopenia detection were ≤4.05° (92.9% sensitivity and 53.8% specificity) and ≤3.75° (78.9% sensitivity and 51.1% specificity) for male and female patients, respectively.</p></div><div><h3>Conclusion</h3><p>PhA serves as a pragmatic screening tool for identifying multi-ethnic Malaysian PD patients at risk of sarcopenia, facilitating early diagnosis and intervention to improve patient outcomes.</p></div>","PeriodicalId":36134,"journal":{"name":"Clinical Nutrition Open Science","volume":"57 ","pages":"Pages 26-38"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667268524000652/pdfft?md5=1e58dfebc8850ecb414194988668efd8&pid=1-s2.0-S2667268524000652-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Bioelectrical impedance analysis-derived phase angle as a pragmatic screening tool for assessing sarcopenia in multi-ethnic peritoneal dialysis patients\",\"authors\":\"Shi-Wah Lee , Zulfitri Azuan Mat Daud , Jun-Hao Lim , Cordelia-Kheng-May Lim , Imliya Ibrahim , Yoke-Mun Chan , Nor Fadhlina Zakaria\",\"doi\":\"10.1016/j.nutos.2024.07.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>Sarcopenia, characterized by the loss of muscle mass and function, is prevalent in peritoneal dialysis (PD) patients. Early diagnosis is crucial, but universal screening is often hindered by the complexity of diagnostic algorithms and limited clinical resources. Therefore, this study aims to investigate the ability of bioelectrical impedance analysis-derived phase angle (PhA), a convenient and cost-effective technique, in detecting sarcopenia among PD patients.</p></div><div><h3>Methods</h3><p>A single-center cross-sectional study was conducted on 130 multi-ethnic PD patients in Malaysia. Sarcopenia was assessed using Asian Working Group for Sarcopenia (AWGS) 2019 diagnostic algorithm. PhA was measured by a multi-frequency bioelectrical impedance analysis device at 50kHz. Multivariable logistic regression was used to determine predictability of PhA on sarcopenia. Receiver operating characteristics analysis was used to evaluate the discriminative performance of PhA in detecting sarcopenia. Optimal gender-specific PhA cut-off values for sarcopenia detection were determined based on desired sensitivity and specificity.</p></div><div><h3>Results</h3><p>Sarcopenia was identified in 25.4% of the PD patients. PhA emerged as an independent predictor of sarcopenia (adjOR= 0.147; 95%CI =0.042–0.516; <em>P</em> =0.003), exhibiting excellent discriminative power in identifying sarcopenia (adjAUC<sub>overall</sub>= 0.818±0.041; bootstrapped 95%CI =0.734–0.899, <em>P <0.001</em>). 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引用次数: 0
摘要
目的腹膜透析(PD)患者普遍存在以肌肉质量和功能丧失为特征的肌肉疏松症。早期诊断至关重要,但由于诊断算法的复杂性和临床资源有限,普遍筛查往往受到阻碍。因此,本研究旨在探讨生物电阻抗分析衍生相位角(PhA)这一方便且经济有效的技术在检测腹膜透析患者肌少症方面的能力。采用亚洲肌少症工作组(AWGS)2019年诊断算法评估肌少症。PhA通过50kHz的多频生物电阻抗分析设备进行测量。多变量逻辑回归用于确定 PhA 对肌肉疏松症的预测性。接受者操作特征分析用于评估 PhA 在检测肌少症方面的鉴别性能。根据所需的灵敏度和特异性,确定了检测肌肉疏松症的最佳性别特异性 PhA 临界值。PhA是肌少症的独立预测因子(adjOR= 0.147; 95%CI =0.042-0.516; P =0.003),在鉴别肌少症方面表现出卓越的鉴别力(adjAUCoverall= 0.818±0.041; bootstrapped 95%CI =0.734-0.899, P <0.001)。男性和女性患者检测肌少症的最佳PhA临界值分别为≤4.05°(灵敏度为92.9%,特异度为53.8%)和≤3.75°(灵敏度为78.9%,特异度为51.1%)。
Bioelectrical impedance analysis-derived phase angle as a pragmatic screening tool for assessing sarcopenia in multi-ethnic peritoneal dialysis patients
Objective
Sarcopenia, characterized by the loss of muscle mass and function, is prevalent in peritoneal dialysis (PD) patients. Early diagnosis is crucial, but universal screening is often hindered by the complexity of diagnostic algorithms and limited clinical resources. Therefore, this study aims to investigate the ability of bioelectrical impedance analysis-derived phase angle (PhA), a convenient and cost-effective technique, in detecting sarcopenia among PD patients.
Methods
A single-center cross-sectional study was conducted on 130 multi-ethnic PD patients in Malaysia. Sarcopenia was assessed using Asian Working Group for Sarcopenia (AWGS) 2019 diagnostic algorithm. PhA was measured by a multi-frequency bioelectrical impedance analysis device at 50kHz. Multivariable logistic regression was used to determine predictability of PhA on sarcopenia. Receiver operating characteristics analysis was used to evaluate the discriminative performance of PhA in detecting sarcopenia. Optimal gender-specific PhA cut-off values for sarcopenia detection were determined based on desired sensitivity and specificity.
Results
Sarcopenia was identified in 25.4% of the PD patients. PhA emerged as an independent predictor of sarcopenia (adjOR= 0.147; 95%CI =0.042–0.516; P =0.003), exhibiting excellent discriminative power in identifying sarcopenia (adjAUCoverall= 0.818±0.041; bootstrapped 95%CI =0.734–0.899, P <0.001). The optimal PhA cut-off values for sarcopenia detection were ≤4.05° (92.9% sensitivity and 53.8% specificity) and ≤3.75° (78.9% sensitivity and 51.1% specificity) for male and female patients, respectively.
Conclusion
PhA serves as a pragmatic screening tool for identifying multi-ethnic Malaysian PD patients at risk of sarcopenia, facilitating early diagnosis and intervention to improve patient outcomes.