解放军医学院学报2025，Vol.46Issue(5)：461-467,498,8.DOI:10.12435/j.issn.2095-5227.24061901
基于心音心电动态监测技术的运动性疲劳评估模型的建立
Establishment of an evaluation model for exercise-induced fatigue based on dynamic monitoring technology of heart sounds and electrocardiography
马利彬 1米卫东 1曹江北 1吴德振 1张子依 1罗云根 2史春婷 1周志康 1林奕 3丁浩冉 3王静4
作者信息
- 1. 解放军总医院第一医学中心麻醉科,北京 100853
- 2. 联勤保障部队北戴河康复疗养中心,河北 秦皇岛 066100
- 3. 福州闻心电子科技有限公司,福建 福州 350003
- 4. 军事科学院军事医学研究院环境医学与作业医学研究所,天津 300050
- 折叠
摘要
Abstract
Background Fatigue is one of the crucial factors threatening people's health,and accurate assessment of fatigue levels and intervention are of great significance.Objective To construct and analyze the evaluation model for exercise-induced fatigue in healthy young male subjects.Methods In April 2023,192 healthy young male subjects were recruited as the modeling training set by the Anesthesiology Department of the First Medical Center of Chinese PLA General Hospital.Another 33 young male subjects from different units were recruited as the validation set.All subjects were evaluated using the"Self-reported Symptoms of Fatigue Questionnaire".Non-invasive blood pressure was collected through the blood pressure postural reflex test,and heart sound and electrocardiogram data were collected using wearable heart sound and electrocardiogram devices.The data were processed according to(the value 2 minutes after being lifted up and recovered from lying flat-the value before lying flat)/the value before lying flat.Univariate and multivariate logistic regression analyses were performed to analyze the related factors for the occurrence of exercise-induced fatigue in this population,and the corresponding nomogram evaluation model was established.The receiver operating characteristic(ROC)curve was used to analyze the efficacy of the model.The calibration curve was drawn to evaluate the calibration degree of the model,and the decision curve analysis(DCA)was drawn to evaluate the clinical applicability of the model.Results In the training set,multivariate logistic regression showed that △PEP(OR=1.067,95%CI:1.011-1.139),△S2E(OR=1.019,95%CI:1.003-1.039),and △HR(OR=1.115,95%CI:1.033-1.215)were risk factors for moderate to severe fatigue;△S1E(OR=0.972,95%CI:0.943-0.997)and △LVETc(OR=0.772,95%CI:0.613-0.932)were independently associated with moderate to severe fatigue.Incorporating the above factors and establishing a nomogram evaluation model,the area under the curve(AUC)of the training set of this model was 0.908(95%CI:0.825-0.991).The AUC of the validation set was 0.940(95%CI:0.854-1.000).The calibration curve showed that there was a high degree of consistency between the verification results and the model results;The decision curve showed that the model performed well within the low to medium risk threshold range.Conclusion The logistic regression model in this study utilizing heart sound and electrocardiography data demonstrates good performance in assessing post-exercise fatigue levels and has certain application value.关键词
心音/心电/疲劳/运动性疲劳/评估模型/列线图Key words
heart sound/electrocardiogram/fatigue/exercise-induced fatigue/evaluation model/nomogram分类
医药卫生引用本文复制引用
马利彬,米卫东,曹江北,吴德振,张子依,罗云根,史春婷,周志康,林奕,丁浩冉,王静..基于心音心电动态监测技术的运动性疲劳评估模型的建立[J].解放军医学院学报,2025,46(5):461-467,498,8.
