Fernando Pifarré , Lluís Rosselló , Raúl Hileno , Joan Palmi , Llúcia Bañeres , Antoni Planas , Joan Antoni Prat
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Maximum oxygen consumption (<span><math><mover><mi>V</mi><mo>˙</mo></mover></math></span>O<sub>2</sub> max), oxygen consumption at the anaerobic threshold (<span><math><mover><mi>V</mi><mo>˙</mo></mover></math></span>O<sub>2</sub> at Vt2), maximum ventilatory volume (<span><math><mover><mi>V</mi><mo>˙</mo></mover></math></span>E max), time of maintenance of the isocapnic buffering phase (IB duration), and mean percentage of oxygen use in isocapnic buffering phase (% O<sub>2</sub> use in IB) were analyzed. Data were explored from a principal component analysis. Groups were matched by propensity score to be mismatched in BMI and a comparison of means and medians was performed. A logistic regression model was built to predict the probability of CFS.</p></div><div><h3>Results</h3><p>The mean and median values of the variables obtained in the CPET was significantly higher in the healthy group compared to the CFS. In the logistic regression model, VO<sub>2</sub> max, IB duration, and mean % of O<sub>2</sub> use in IB were selected as predictors. The sensitivity and specificity were greater than 90%.</p></div><div><h3>Conclusion</h3><p>The combination of the factors <span><math><mover><mi>V</mi><mo>˙</mo></mover></math></span>O<sub>2</sub> max, IB duration, and mean % of O<sub>2</sub> use in IB can be used as a screening biomarker for the diagnosis of CFS.</p></div>","PeriodicalId":100113,"journal":{"name":"Apunts Sports Medicine","volume":"57 214","pages":"Article 100379"},"PeriodicalIF":1.1000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666506922000013/pdfft?md5=2481cb4dcad0ab0b674139afa203dd90&pid=1-s2.0-S2666506922000013-main.pdf","citationCount":"2","resultStr":"{\"title\":\"The use of oxygen as a possible screening biomarker for the diagnosis of chronic fatigue\",\"authors\":\"Fernando Pifarré , Lluís Rosselló , Raúl Hileno , Joan Palmi , Llúcia Bañeres , Antoni Planas , Joan Antoni Prat\",\"doi\":\"10.1016/j.apunsm.2022.100379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>The aim of this study was to verify whether the mean percentage of oxygen use in the aerobic-anaerobic transition phase or <em>isocapnic buffering</em> (IB) was lower in women with chronic fatigue syndrome (CFS) compared to healthy women, and if this variable could be used as a screening biomarker for the diagnosis of CFS</p></div><div><h3>Methods</h3><p>A cross-sectional study was conducted. Forty-four adult women (22 with CFS and 22 healthy) performed a cycle ergometer stress test with gas analyser (CPET). Maximum oxygen consumption (<span><math><mover><mi>V</mi><mo>˙</mo></mover></math></span>O<sub>2</sub> max), oxygen consumption at the anaerobic threshold (<span><math><mover><mi>V</mi><mo>˙</mo></mover></math></span>O<sub>2</sub> at Vt2), maximum ventilatory volume (<span><math><mover><mi>V</mi><mo>˙</mo></mover></math></span>E max), time of maintenance of the isocapnic buffering phase (IB duration), and mean percentage of oxygen use in isocapnic buffering phase (% O<sub>2</sub> use in IB) were analyzed. Data were explored from a principal component analysis. Groups were matched by propensity score to be mismatched in BMI and a comparison of means and medians was performed. A logistic regression model was built to predict the probability of CFS.</p></div><div><h3>Results</h3><p>The mean and median values of the variables obtained in the CPET was significantly higher in the healthy group compared to the CFS. In the logistic regression model, VO<sub>2</sub> max, IB duration, and mean % of O<sub>2</sub> use in IB were selected as predictors. 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引用次数: 2
摘要
本研究的目的是验证慢性疲劳综合征(CFS)女性在好氧-厌氧过渡阶段或等负荷缓冲(IB)的平均耗氧量百分比是否比健康女性低,以及该变量是否可以作为诊断慢性疲劳综合征的筛选生物标志物。44名成年女性(22名患有慢性疲劳综合症,22名健康女性)采用气体分析仪(CPET)进行了循环劳力计压力测试。分析了最大耗氧量(V˙O2 max)、无氧阈值耗氧量(V˙O2 at Vt2)、最大通气量(V˙E max)、异氧缓冲期维持时间(IB持续时间)和异氧缓冲期平均耗氧量百分比(IB耗氧量%)。数据采用主成分分析。各组通过BMI不匹配的倾向评分进行匹配,并进行均值和中位数的比较。建立logistic回归模型预测CFS的发生概率。结果健康组CPET测得的各项变量的平均值和中位数明显高于CFS组。在logistic回归模型中,选择VO2 max, IB持续时间和IB中平均氧气使用百分比作为预测因子。敏感性和特异性均大于90%。结论V˙O2 max、IB持续时间和IB平均耗氧量百分比的组合可作为CFS的筛查生物标志物。
The use of oxygen as a possible screening biomarker for the diagnosis of chronic fatigue
Background
The aim of this study was to verify whether the mean percentage of oxygen use in the aerobic-anaerobic transition phase or isocapnic buffering (IB) was lower in women with chronic fatigue syndrome (CFS) compared to healthy women, and if this variable could be used as a screening biomarker for the diagnosis of CFS
Methods
A cross-sectional study was conducted. Forty-four adult women (22 with CFS and 22 healthy) performed a cycle ergometer stress test with gas analyser (CPET). Maximum oxygen consumption (O2 max), oxygen consumption at the anaerobic threshold (O2 at Vt2), maximum ventilatory volume (E max), time of maintenance of the isocapnic buffering phase (IB duration), and mean percentage of oxygen use in isocapnic buffering phase (% O2 use in IB) were analyzed. Data were explored from a principal component analysis. Groups were matched by propensity score to be mismatched in BMI and a comparison of means and medians was performed. A logistic regression model was built to predict the probability of CFS.
Results
The mean and median values of the variables obtained in the CPET was significantly higher in the healthy group compared to the CFS. In the logistic regression model, VO2 max, IB duration, and mean % of O2 use in IB were selected as predictors. The sensitivity and specificity were greater than 90%.
Conclusion
The combination of the factors O2 max, IB duration, and mean % of O2 use in IB can be used as a screening biomarker for the diagnosis of CFS.