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作 者:Jian-Guo CUI Feng TIAN Yu-Hao MIAO Qin-Hua JIN Ya-Jun SHI Li LI Meng-Jun SHEN Xiao-Ming XIE Shu-Lin ZHANG Yun-Dai CHEN
机构地区:[1]School of Medicine,Nankai University,Tianjin,China [2]Senior Department of Cardiology,the Sixth Medical Center,Chinese PLA General Hospital,Beijing,China [3]Joint Laboratory of Bioimaging Technology and Applications,SAS-SIM-IT&MEDI,Shanghai,China [4]Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai,China
出 处:《Journal of Geriatric Cardiology》2024年第4期407-420,共14页老年心脏病学杂志(英文版)
基 金:supported by the National Key Research and Development Program (No.2022YFC2407001)。
摘 要:OBJECTIVE To evalu ate the role of resting magnetocardiography in identifying seve re coronary artery stenosis in patients with suspected coronary artery disease.METHODS A total of 513 patients with angina symptoms were included and divided into two groups based on the extent of coronary artery disease determined by angiography:the non-severe coronary stenusis group(<70% stenosis) and the severe coronary stenosis group(≥70% stenosis).The diagnostic model was constructed using magnetic field map(MFM) parameters,either individually or in combination with clinical indicators.The performance of the models was evaluated using receiver operating characteristic curves,accuracy,sensitivity,specificity,positive predictive value(PPV) and ne gative predictive value(NPV).Calibration plots and decision curve analysis were performed to investigate the clinical utility and performance of the models,respectively.RESULTS In the severe coronary stenosis group,QR_MCTDd,S_MDp,and TT_(MA)C_(50) were significantly higher than those in the non-severe coronary stenosis group(10,46±10.66 vs,5.11±6.07,P <0.001;7.2±8.64 vs.4.68±6.95,P=0.003;0.32±57.29 vs.0.26±57.29,P <0.001).While,QR_MV_(amp),R_(MA),and T_(MA) in the severe coronary stenosis group were lower(0.23±0.16 vs.0.28±0.16,P<0.001;55.06±48.68 vs.59.24±53.01,P<0.001;51.67±39.32 vs. 60.45±51.33,P <0.001).Seven MFM parameters were integrated into the model,resulting in an area under the curve of 0.810(95% CI:0.765-0.855).The sensitivity,specificity,PPV,NPV,and accurecy were 71.7%,80.4%,93.3%,42.8 %,and 73.5%;respectevely.The combined model exhibited an area under the curve of 0.845(95% CI:0.798-0.892).The sensitivity,specificity,PPV,NPV,and accuracy were 84.3%,73.8%,92.6%,54.6%,and 82.1%;respectively.Calibration curves demonstrate d excellent agreement between the nomogram prediction and actual observation.The decision curve analysis showed that the c ombine d model provided greater net benefit compared to the magnetocardingraphy model.CONCLUSIONS The novel quantitative
关 键 词:CORONARY STENOSIS SPECIFICITY
分 类 号:R541.4[医药卫生—心血管疾病]
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