Association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states.

BACKGROUND: Stress hyperglycemia ratio (SHR) is significantly related to adverse cardiovascular clinical outcomes and increased in-hospital mortality. However, the relationship between SHR and coronary artery disease (CAD) severity has hitherto not been reported. This study sought to clarify the relationship between the SHR and CAD severity of individuals with different glucose metabolic statuses. METHODS: A retrospective analysis was performed on 987 patients who underwent coronary angiography (CAG) from October 2020 to May 2022. Based on CAG results, patients were divided into single-vessel CAD and multi-vessel CAD groups. All subjects were stratified into three groups according to the tertiles of the SHR (T1 group: SHR < 0.930; T2 group: 0.930 ≤ SHR < 1.154; T3 group: 1.154 ≤ SHR). Moreover, according to glucose metabolism status, study subjects were divided into normal glucose regulation (NGR), pre-diabetes mellitus (pre-DM) and diabetes mellitus (DM) groups. Finally, the correlation between SHR and CAD severity was analyzed by logistic regression analysis and receiver operating characteristic (ROC) curve. RESULTS: The results showed significantly higher SHR in the multi-vessel CAD group than in the single-vessel group. Logistic regression analysis showed that SHR was an independent risk factor for multi-vessel CAD when used as a continuous variable (OR, 4.047; 95% CI 2.137-7.663; P < 0.001). After adjusting for risk factors, the risk of multi-vessel CAD in the T2 and T3 groups was 1.939-fold (95% CI 1.341-2.804; P < 0.001) and 1.860-fold (95% CI 1.272-2.719; P = 0.001) higher than in the T1 group, respectively. The area under the curve (AUC) of ROC plots was 0.613 for SHR. In addition, SHR was significantly correlated with an increased risk of multi-vessel CAD in the pre-DM and DM groups. CONCLUSIONS: Our study indicated that SHR was significantly correlated with the risk of multi-vessel CAD and predicted CAD severity, especially in pre-DM and DM patients.

Effect of changes in anthropometric measurements on the remission and progression of prediabetes: A community-based cohort study.

AIMS: We assessed the impact of changes in body mass index (BMI), body fat percentage (BF%), and waist circumference (WC) on prediabetes among middle-aged and elderly Chinese adults. SUBJECTS, MATERIALS AND METHODS: 2.5-year changes in BMI, BF%, and WC were calculated by subtracting baseline levels from follow-up, based on a cohort of 3,632 participants with prediabetes, and outcomes were defined as remission to normal glucose regulation (NGR), persistence in prediabetes, and progression to newly diagnosed diabetes mellitus (NDM). RESULTS: Among participants with prediabetes, 16.9% returned to NGR and 24.6% progressed to NDM. Changes in BMI, BF%, but not WC were associated with remission and progression of prediabetes (risk ratio per standard deviation increase of BMI: 0.86 [0.79-0.93] and 1.15 [1.08-1.23]; BF%: 0.91 [0.84-0.98] and 1.11 [1.03-1.19]). Among participants with combined impaired fasting glucose (IFG) and impaired glucose tolerance (IGT), only BF% change was significantly associated with remission of prediabetes. CONCLUSION: Short-term management of BMI and BF% should be emphasized to promote the remission and prevent the progression of prediabetes. Moreover, it is of particular clinical importance to monitor BF% among people with combined IFG and IGT.

Regression from prediabetes to normal glucose regulation: State of the science.

IMPACT STATEMENT: Prediabetes increases the risks of future type 2 diabetes (T2D) and vascular complications, risks that can be prevented by restoring normal glucose regulation (NGR). Few studies have pre-specified reversal of prediabetes and restoration of NGR as primary outcome, and current approaches that prevent T2D in people with prediabetes do not always reverse the prediabetes. The present review focuses on studies that have assessed reversal of the prediabetes, and discusses known and emerging predictors of prediabetes. We argue that fuller knowledge of such predictors could inform the discovery of novel, targeted interventions for reversing prediabetes.

The correlation between serum uric acid level and early-phase insulin secretion in subjects with normal glucose regulation / 中华内科杂志

Objective To investigate the correlation between serum uric acid (SUA) level and early-phase insulin secretion in subjects with normal glucose regulation (NGR).Methods Totally 367 community NGR residents confirmed by a 75g oral glucose tolerance test were enrolled.The insulin resistance index (HOMA-IR) and the early-phase insulin secretion index after a glucose load (ΔI30/ΔG30) were used to estimate the insulin sensitivity and the early-phase insulin secretion, respectively.The subjects were divided into 4 groups according to the SUA level quartiles.Differences in early-phase insulin levels, ΔI30/ΔG30, and HOMA-IR were compared among the 4 groups.Results Age, BMI, waist circumference, systolic blood pressure, diastolic blood pressure, fasting insulin (FINS), 30 minutes postprandial insulin (30 minINS), 2 hours postprandial insulin(2hlNS), HOMA-IR and TG levels increased across the rising categories of SUA levels, while the HDL-C was decreased across the SUA groups (P ＜ 0.01).The SUA level was positively correlated with age (r =0.157, P ＜ 0.01), BMI (r =0.262, P ＜ 0.01), waist circumference(r =0.372, P ＜ 0.01), systolic blood pressure (r =0.200, P ＜ 0.01), diastolic blood pressure(r =0.254,P ＜ 0.01) , 30 minutes postprandial plasma glucose(r =0.118 ,P =0.023), FINS(r =0.249, P ＜ 0.01), 30minlNS (r =0.189, P ＜ 0.01) ,2hlNS (r =0.206, P ＜ 0.01), glycosylated hemoglobin (HbAlc, r=0.106,P =0.042), HOMA-IR(r =0.244,P ＜0.01), TG(r =0.350,P ＜0.01), ΔI30/ΔG30 (r =0.144, P ＜ 0.01), and negatively correlated with HDL-C level (r =-0.321, P ＜ 0.01).Multiple stepwise regression analysis showed that SUA (β =0.292, P ＜ 0.01) and HOMA-IR (β3 =29.821, P ＜ 0.01)were positively associated with ΔI30/ΔG30.Conclusion SUA level is closely related with the early-phase insulin secretion in NGR subjects.

A high-risk phenotype associates with reduced improvement in glycaemia during a lifestyle intervention in prediabetes.

AIMS/HYPOTHESIS: Lack of reversal of prediabetes (impaired glucose tolerance and/or impaired fasting glucose) to normal glucose regulation (NGR) during a lifestyle intervention is strongly associated with a higher incidence of diabetes later in life. In the Tübingen Lifestyle Intervention Program (TULIP) we hypothesised that an at-risk phenotype may exist at baseline that associates with this nonresponse to the intervention. METHODS: A total of 120 participants of TULIP with prediabetes at baseline were studied. Participants underwent 9 months of lifestyle intervention and had measurements of insulin secretion and insulin sensitivity during a 75 g OGTT, and measurements of liver fat content by proton magnetic resonance spectroscopy. RESULTS: During the lifestyle intervention, 55% of the participants did not revert to NGR. Even among participants with the largest body fat loss (upper quartile: -6.9 ± 3.3%, mean ± SD), 40% did not revert to NGR. In this regard, we identified at baseline a high-risk phenotype (n = 72) consisting of low disposition index or low insulin sensitivity + nonalcoholic fatty liver disease (NAFLD) and a low-risk phenotype (n = 48, all other traits). While the adjusted decrease in body fat was almost identical between these phenotypes (-5.7 ± 15.3% vs -7.7 ± 15.2%, p = 0.49), the high-risk phenotype had a smaller decrease in adjusted 2 h blood glucose levels (-3.7 ± 20.3% vs -18.5 ± 20.0%, p = 0.0009). In addition, only 31% of the participants with the high-risk phenotype, but 67% with the low-risk phenotype, reverted to NGR (p < 0.0001). The odds ratio for reaching the status NGR was 4.54 (95% CI 2.08, 9.94) for participants having the low-risk phenotype. CONCLUSIONS/INTERPRETATION: Stratification of individuals with prediabetes at baseline into a high-risk and a low-risk phenotype, based on corrected insulin secretion and insulin-resistant NAFLD, may help to determine the effectiveness of a lifestyle intervention to revert individuals to NGR.

Natural progression rate of glycometabalism in non-diabetic subjects aged above 40 years old-a 3 year prospective study in Pudong,Shanghai / 中华内分泌代谢杂志

In subjects aged above 40 years old in Pudong,Shanghai,the annual progression rates from normal glucose regulation to impaired glucose tolerance and to diabetes were 9.5%and 4.4%respectively.and the annual progression rate in subjects with impaired Slucose regulation to diabetes was 20.2%.The conversion rate to diabetes increased along with elevated number of risk factors.