The Predictive Value Of Cumulative Heart Rate Exposure On Impaired Fasting Glucose And Diabetes

Objective:1.To explore the predictive value of cumulative heart rate exposure in the general population on new onset of impaired fasting glucose and new onset diabetes.2.To explore the predictive value of cumulative heart rate exposure on the impaired fasting glucose in patients with ideal blood glucose.3.To explore the predictive value of cumulative heart rate exposure in patients with impaired fasting glucose(FPG)on the progression of impaired fasting glucose regulation in the future.Methods:A prospective cohort study,2006-2007 years to participate in the examination of the Kailuan Group staff as the observational cohort.These participants were then followed through 2008-2009,2010-2011,2012-2013 with repeated questionnaires and physical examinations.All the participants gave their written informed consent.Finally,we included 33461 people in our cohort,among whom 27386 were the ideal glucose group(FBG<6.1mmol/L)and 3042 were IFG group(6.1mmol/L?FBG<7.0mmol/L).The starting point of follow-up was the third time of physical examination in 2010-2011 and ending point was the fourthin 2012-2013.We considered new-onset diabetes and IFG as the endpoint events.cum HR was calculated in line with the method of cumulative exposure to blood pressure.We separated the cum HR as quartiles.Calculation of different group cum HR new onset of impaired fasting glucose,diabetes mellitus and impaired fasting glucose in diabetes cumulative incidence with life table,and use Log-rank test to compare each group cum HR the end point events differences;using Cox proportional hazards model and the natural spline function further analysis cum HR risk of end point events the ratio of(Hazard ratios,HR)and 95% confidence intervals(CI).Results:1.during an average of 2.22 + 0.38 years of follow-up,the total population of new onset diabetes in 1244(3.7%)cases,people of new glucose impaired fasting glucose(7.5%),2060 cases with impaired fasting glucose in type 533 diabetes(17.5% cases).Log-rank test results indicate that the total population,the ideal blood glucose,impaired fasting glucose group cum HR group event different end point cumulative incidence rate differences were statistically significant(P < 0.05),and the cumulative total population,glucose population of new onset diabetes incidence was increased with the cum HR increased,and impaired fasting glucose accumulation the incidence of an upward trend.2.Many factors affect the general population of diabetes Cox regression model analysis showed that the cum HR,age,systolic blood pressure,fasting blood glucose,heart rate,BMI,lg TG,lg CRP,physical exercise,antihypertensive drugs are the risk factors(P<0.05).3.Cox proportional hazard model showed that the cum HR effect of end point events per 1 standard deviation increase(SD),the progression of impaired fasting glucose,diabetes mellitus,impaired fasting glucose,diabetes HR(95%CI)were 1.21(1.16~1.26),1.22(1.16~1.29),1.13(1.03~1.24).The natural spline function analysis showed that cum HR was similar to "J" shape curve in patients with diabetes mellitus and impaired fasting glucose,new onset diabetes and impaired fasting glucose.Conclusion:1.High cum HR to predict the value of new onset diabetes in the general population.2.High cum HR on the ideal blood glucose level of the new fasting blood glucose damage prediction value.3.High cum HR on impaired fasting glucose in patients with impaired fasting blood glucose prediction.