摘要
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 re- gression 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 In- creased 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.
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 re- gression 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 In- creased 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.
