Objective To investigate the correlation between serum growth differentiation factor 11(GDF11)level and coronary artery lesions in patients with ST-segment elevation myocardial infarction(STEMI),and the predictive eff...Objective To investigate the correlation between serum growth differentiation factor 11(GDF11)level and coronary artery lesions in patients with ST-segment elevation myocardial infarction(STEMI),and the predictive efficacy of nomogram risk prediction model based on GDF11 combined with traditional risk factors on the occurrence of STEMI.Methods This study was a retrospective cross-sectional study.Patients hospitalized in the Department of Cardiology of the 904th Hospital of Joint Logistic Support Force of People's Liberation Army of China from 2016 to 2018 were selected and divided into control group and STEMI group.The demographic data,blood lipid level,laboratory indicators of blood and GDF11 level were collected.Logistic regression analysis screened out independent correlated factors for the occurrence of STEMI.Spearman correlation analysis clarified the correlation of each indicator with the SYNTAX or Gensini scores.A nomogram risk prediction model for the risk of STEMI occurrence and the receiver operating characteristic curve was used to compare the prediction efficiency of each model.Results A total of 367 patients were enrolled.展开更多
文摘Objective To investigate the correlation between serum growth differentiation factor 11(GDF11)level and coronary artery lesions in patients with ST-segment elevation myocardial infarction(STEMI),and the predictive efficacy of nomogram risk prediction model based on GDF11 combined with traditional risk factors on the occurrence of STEMI.Methods This study was a retrospective cross-sectional study.Patients hospitalized in the Department of Cardiology of the 904th Hospital of Joint Logistic Support Force of People's Liberation Army of China from 2016 to 2018 were selected and divided into control group and STEMI group.The demographic data,blood lipid level,laboratory indicators of blood and GDF11 level were collected.Logistic regression analysis screened out independent correlated factors for the occurrence of STEMI.Spearman correlation analysis clarified the correlation of each indicator with the SYNTAX or Gensini scores.A nomogram risk prediction model for the risk of STEMI occurrence and the receiver operating characteristic curve was used to compare the prediction efficiency of each model.Results A total of 367 patients were enrolled.