The Association Between Hemoglobin Glycation Index and Carotid Artery Plaque in Patients With Coronary Heart Disease

Glycated haemoglobin index is a new predictor for all-cause mortality and cardiovascular mortality in the adults

Glycosylated haemoglobin index (HGI) has been shown to correlate with the prognosis of metabolic diseases, but the relationship with mortality remains unclear. This study included 18,285 US adults who participated in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. During the median follow-up period of 115 months, a total of 2572 all-cause deaths and 671 cardiovascular disease (CVD) deaths occurred. The restricted cubic spline revealed a U-shaped correlation between HGI and all-cause and CVD mortality. After adjusting for all covariates, the optimal inflection point values in all-cause and CVD deaths were 0.17 and 0.02, respectively. In the left side of the inflection point, the risk of all-cause mortality and CVD mortality decreased by approximately 24% (HR 0.76, 95% CI 0.69, 0.84) and 25% (HR 0.75, 95% CI 0.60, 0.96) with the increase in HGI. Conversely, in the right of the inflection point, an increase of 1 unit in the HGI was linked with a 17% (HR 1.17, 95% CI 1.07, 1.27) and 31% (HR 1.31, 95% CI 1.15, 1.49) increase in all-cause and CVD mortality. Our study showed that HGI is an important tool for predicting the risk of all-cause mortality and CVD death in US adults and there is a U-shaped relationship between HGI and mortality.

The relationship between the systemic immune inflammatory index and computerized tomography guided coronary lesion severity in diabetic patients

PURPOSE

The incidence of cardiovascular events is high in diabetic patients. In diabetic patients, the levels of inflammatory parameters in the circulation are increased, which is associated with poor outcome. In this study, we investigated the relationship between the systemic immune inflammatory index (SII), which is a sensitive indicator of the inflammatory response, and the severity of coronary atherosclerosis in diabetic patients.

MATERIALS AND METHODS

Diabetic patients who underwent coronary computed tomography for chest pain were included in the study. The patients were divided into two groups according to their median systemic immune inflammatory index values, and the predictors of SII elevation were investigated.

RESULTS

A total 210 patients were included in the study. The mean age of the patients was 52.6 ± 9.3 and 44.3% were male. In univariate analysis, HDL, triglyceride, lesion severity, and CAR were associated with high SII. In the regression analysis, lesion severity and lower HDL levels were determined as predictor of high SII.

CONCLUSION

Inflammation plays an important role in the development of coronary atherosclerosis. Diabetic patients with elevated SII levels may require further investigation for significant atherosclerosis.