论文部分内容阅读
Background In this study,we aimed to evaluate the impact of abnormal glucose,lipid and Cystatin-C on the virtual P vector characteristics,which haven’ t been reported in previous studies.Methods 204 of non-diabetes mellitus (NDM),130 of DM (type 2) and 39 of impaired glucose tolerance (IGT) patients were consecutively and retrospectively recruited.We selected a one-minute length of electrocardiogram at 4AM for analysis.After a series of calculating algorisms,we obtained the virtual planar P vector parameters.Results There were no significant differences in FPV,FPA,RSPV,RSPA,HPV and HPA groups.After adjusting confounding factors,the regression coefficients (RC) were estimated as follow:for FPV,female gender (RC-0.21,P =0.02),triglyceride (RC-0.09,P ＜ 0.01),RVOT (RC 0.03,P =0.02);for RSPV,female gender (RC-0.21,P ＜ 0.01),triglyceride (RC-0.10,P ＜ 0.01),average heart rate (RC 0.01,P =0.02);for HPV,triglyceride (RC-0.08,P ＜ 0.001),LDL (RC-0.19,P ＜ 0.01),Apo B (RC 0.67,P ＜ 0.01);for RSPA,B type of blood (RC-22.06,P =0.02),Cystatin-C (RC-72.79,P =0.02),thickness of interventricular septum (RC 3.70,P =0.01).Cystatin-C was suggested as a cure related to RSPA,and the cut-off point was 1.6 mg/L.There were no significant risk factors associated with FPA and HPA.There was no difference in virtual P vector among DM,IGT and NDM groups.Conclusion Increased levels of lipid and Cystatin-C significantly impact the characteristics of virtual P vector,whereas glucose does not.These changes may come from a higher low voltage atrial area and abnormal orientation of atrial depolarization.