Background Some studies have suggested that blood glucose fluctuation and C-peptide level were considered as predictive factors for carotid artery intima–media thickness (CIMT). However, the relationships of these variables are unclear. This research was aimed to identify the potential effects of blood glucose fluctuation, C-peptide level and conventional risk factors on CIMT. Methods A total of 280 type 2 diabetes mellitus (T2DM) patients were enrolled into this study. Population characteristics were obtained through medical history and clinical parameters. The patients were divided into two groups according to the critical value of CIMT (0.9). Research data were analyzed to identify risk factors of CIMT between the two groups. Results The comparison results of basic information showed that differences in age and illness years between the two groups were statistically significant ( p = 0.0002 and p = 0.0063). Logistic regression analysis results indicated that smoking, uric acid (UA) levels, 2 h C-peptide and standard deviation of blood glucose (SDBG) were the influence factors for CIMT thickening ( p = 0.032, p = 0.047, p = 0.049 and p = 0.042, respectively). Blood glucose fluctuation could affect the risk of some complications. In largest amplitude of glycemic excursions (LAGE) > 4.4 group, the CIMT abnormal rate was 27.10%, which was significantly higher than 12.12% in the LAGE ≤ 4.4 group ( p = 0.012). The CIMT abnormal rate of SDBG > 2.0 group was 27.81%, which was significantly higher than that of the SDBG ≤ 2.0 group ( p = 0.018). Conclusions Blood glucose fluctuation is an independent risk factor associated with CIMT in T2DM patients, in addition to conventional risk factors, such as smoking, high UA level and 2 h C-peptide. Therefore, more attention should be given to the change of CIMT and the complications.

It is reported that glutathione S-transferase mu (GSTM1) polymorphism is associated with non-viral hepatic cirrhosis (HC). However, some studies showed different views. Therefore, in this paper, a meta-analysis was conducted to get a more comprehensive understanding of GSTM1 polymorphisms in non-viral HC susceptibility. The results showed that GSTM1 null was associated with the increased risk of non-viral HC (OR = 1.337, 95% CI 1.112–1.804, p = 0.005). Subgroup analysis of cirrhosis type revealed that GSTM1 null was a prominent risk factor for alcoholic HC (OR = 1.416, 95% CI 1.112–1.804, p = 0.005). Meanwhile, subgroup analysis of population indicated that the significant differences only existed in Asian population (OR = 1.719, 95% CI 1.212–2.438, p = 0.002). In hospital-based studies, patients with GSTM1 null were more likely in risk of HC (OR = 1.426, 95% CI 1.092–1.863, p = 0.009). Subgroup analysis using genotyping method showed a significant association between GSTM1 null genotype and HC occurrence in the studies employing the multiple PCR genotyping method (OR = 1.559, 95% CI 1.171–2.076, p = 0.002). Based on the results of this analysis, it was concluded that GSTM1 null genotype could increase the susceptibility of non-viral hepatic cirrhosis. In addition, alcohol intake, Asian ethnicity, sample source from hospital and multiple PCR genotyping method may also influence the susceptibility of hepatic cirrhosis.

Introduction: The effectiveness of treatment and prognosis of patients with type 1 myocardial infarction are highly correlated with time of diagnosis. This study aimed to develop a type 1 MI rapid screening scale (T1MIrs scale) suitable for emergency pre-diagnosis. Methods: A total of 1928 patients who underwent coronary angiography were enrolled. Multivariate regression analysis was used to identify the independent risk factors of type 1 MI. And the T1MIrs scale was developed and evaluated according to the multivariate regression result. Results: The incidence of type 1 MI was 23.3% in the population with suspected acute coronary syndrome. After 5 adjusting for relevant factors, MEWS score (OR = 1.809, 95%CI 1.623-2.016, P < .001), typical symptoms (OR = 9.826, 95%CI 7.379-13.084, P < .001), male (OR = 2.184, 95%CI 1.602-2.979, P < .001), age (OR = 1.021, 95%CI 1.009-1.033, P = .001), history of diabetes (OR = 2.174, 95%CI 1.594-2.963, P < .001) and current smoker (OR = 2.498, 95%CI 1.550-4.026, P < .001) were the independent risk factors for type 1 MI. The T1MIrs scale is established based on risk factors, with a range of 0-8 points. The incidence of type 1 MI is ascending with the scale (0.3% vs. 3.7% vs. 14.3% vs. 34.9% vs. 57% vs. 76.4% vs. 84.2% vs. 87.5% vs. 100%, P for trend <0.001). Conclusions: Type 1 MI is common in patients with suspected acute coronary syndrome in emergency department. The T1MIrs scale could act as a rapid pre-examination triage of suspected population in emergency department, which is meaningful to screen out type 1 MI patients as soon as possible.