Broz Pavel, Rajdl Daniel, Novak Jaroslav, Hromadka Milan, Racek Jaroslav, Trefil Ladislav, Zeman Vaclav
Institute of Clinical Biochemistry and Haematology, University Hospital in Pilsen, Pilsen, Czech Republic.
Faculty of Medicine in Pilsen, Charles University in Prague, Prague, Czech Republic.
J Med Biochem. 2018 Jul 1;37(3):364-372. doi: 10.1515/jomb-2017-0055. eCollection 2018 Jul.
The aim of this study was to examine high-sensitivity troponin T and I (hsTnT and hsTnI) after a treadmill run under laboratory conditions and to find a possible connection with echocardiographic, laboratory and other assessed parameters.
Nineteen trained men underwent a standardized 2-hour-long treadmill run. Concentrations of hsTnT and hsTnI were assessed before the run, 60, 120 and 180 minutes after the start and 24 hours after the run. Changes in troponins were tested using non-parametric analysis of variance (ANOVA). The multiple linear regression model was used to find the explanatory variables for hsTnT and hsTnI changes. Values of troponins were evaluated using the 0h/1h algorithm.
Changes in hsTnT and hsTnI levels were statistically significant (p<0.0001 and p<0.0001, respectively). In a multiple regression model (adjusted R: 0.60, p=0.005 for hsTnT and adjusted R: 0.60, p=0.005 for hsTnI), changes in both troponins can be explained by relative left wall thickness (LV), training volume, body temperature after the run and creatinine changes. According to the 0h/1h algorithm, none of the runners was evaluated as negative.
Relative LV wall thickness, creatinine changes, training volume and body temperature after the run can predict changes in hsTnT and hsTnI levels. When medical attention is needed after physical exercise, hsTn levels should be tested only when clinical suspicion and the patient's history indicate a high probability of myocardial damage.
本研究的目的是在实验室条件下，检测跑步机跑步后高敏肌钙蛋白T和I（hsTnT和hsTnI），并寻找其与超声心动图、实验室及其他评估参数之间可能存在的联系。
19名受过训练的男性进行了标准化的2小时跑步机跑步。在跑步前、开始后60、120和180分钟以及跑步后24小时评估hsTnT和hsTnI的浓度。使用非参数方差分析（ANOVA）测试肌钙蛋白的变化。采用多元线性回归模型寻找hsTnT和hsTnI变化的解释变量。使用0h/1h算法评估肌钙蛋白值。
hsTnT和hsTnI水平的变化具有统计学意义（分别为p<0.0001和p<0.0001）。在多元回归模型中（调整R：hsTnT为0.60，p = 0.005；hsTnI为0.60，p = 0.005），两种肌钙蛋白的变化均可由相对左室壁厚度（LV）、训练量、跑步后的体温和肌酐变化来解释。根据0h/1h算法，没有一名跑步者被评估为阴性。
相对LV壁厚度、肌酐变化、训练量和跑步后的体温可预测hsTnT和hsTnI水平的变化。体育锻炼后需要就医时，只有在临床怀疑和患者病史表明心肌损伤可能性很高时，才应检测hsTn水平。
