Correlation Analysis of Time in Range (TIR) and sdLDL-C Levels with the Incidence of Coronary Heart Disease in Type 2 Diabetic Patients
Objective To explore the relationship among time in target range of glucose ( TIR ),small dense low-density lipoprotein cholesterol ( sdLDL-C ) levels,and coronary heart disease ( CHD ) in patients with type 2 diabetes ( T2D ) .Methods This was a retrospective study.We collected data from seventy-three patients with T2D from December 2020 to January 2022,including 40 males and 33 females,with an average age of ( 53.04±13.82 ) years.During the same period,we also collected data from fifty-four patients who had both CHD and T2D,including 33 males and 21 females,with an average age of ( 58.54±10.26 ) years.Clinical data,sdLDL-C,cholesterol,triglycerides,and TIR were compared between the two groups.Multivariate logistic regression analysis was conducted to identify risk factors for CHD in T2D patients.ROC curve analysis was employed to assess the predictive value of TIR and sdLDL-C for CHD in T2D patients.Results Compared to patients with T2D only,those with both T2D and CHD had significantly higher age,hypertension incidence,triglycerides,and sdLDL-C levels,while TIR was significantly lower ( P<0.05 ) .Multivariate logistic regression analysis showed that sdLDL-C was an independent risk factor for CHD in T2D patients.ROC curve analysis revealed an AUC of 0.62 for predicting CHD in T2D patients based on TIR,and an AUC of 0.649 for sdLDL-C.The combined detection of TIR and sdLDL-C improved the predictive ability,with an AUC of 0.681.Conclusion TIR was significantly lower in T2D patients with CHD compared to those without CHD,while serum sdLDL-C levels were significantly elevated.sdLDL-C emerged as an independent risk factor for CHD in T2D patients.The combination of TIR and sdLDL-C demonstrated higher predictive value for CHD in T2D patients.
Type 2 diabetesCoronary heart diseaseTime in target range of glucoseSmall dense low-density lipoprotein cholesterolLogistic regression modelROC curveArea under the curve