Predictive factors of developing type 2 diabetes mellitus, Acute Myocardial Infarction and stroke in a cohort with Impaired Fasting Glucose in Singapore

Predictive value of random blood glucose versus fasting blood glucose on in-hospital adverse events in patients with ST-segment elevation acute myocardial infarction

Background

We aim to find out the relationship between random blood glucose (RBG), fasting blood glucose (FBG) and in-hospital adverse events in ST-segment elevation acute myocardial infarction (STEMI) patients. We evaluate and compare the predictive value of RBG and FBG on in-hospital adverse events, and give an appropriate cut-off value of RBG and FBG.

Method

A retrospective study enrolled 958 consecutive AMI patients undergoing emergency coronary angiography at Zhongda Hospital were enrolled from January 1, 2016, to December 31, 2018 was performed. RBG and FBG, baseline data and adverse events were recorded. Major adverse cardiovascular and cerebrovascular events (MACCE) were defined as death, nonfatal recurrent myocardial infarction and stroke. Other adverse events included malignant arrhythmia, cardiac shock and hemorrhage. Patients with RBG > 11.1 mmol/L were divided into elevated RBG group. Patients with FBG > 6.1 mmol/L were divided into elevated FBG group. The incidence of in-hospital adverse events were compared in elevated RBG/FBG group and the control group. ROC curve was used to evaluate the predictive value of RBG and FBG on in-hospital adverse events.

Result

The incidence of death, hemorrhage, cardiac shock and malignant arrhythmia significantly increases in elevated RBG and FBG group. Binary logistic regression showed that age, hypertension, diabetes, FBG and RBG were independent risk factors for in-hospital adverse events in STEMI patients. The AUC and 95% CI of RBG and FBG in predicting death of AMI patients were 0.789, 0.759~0.816; 0.810, 0.783~0.835, respectively. The cut-off values ​were 13.82 and 7.35 mmol/L. RBG and FBG also had fine predictive value on cardiac shock and malignant arrhythmia, no statistical difference was found in the predictive value on in-hospital adverse events (P = 0.462, P = 0.570, P = 0.694).

Conclusion

Incidence of in-hospital adverse events significantly increases in AMI patients combined with elevated RBG or FBG. Both RBG and FBG were independent risk factors for in-hospital adverse events, they had good value on predicting in-hospital adverse events and there was no statistical difference in their predictive value.

Relationship between Random Blood Glucose, Fasting Blood Glucose, and Gensini Score in Patients with Acute Myocardial Infarction

Objective

To examine the relationship between admission random blood glucose (RBG), fasting blood glucose (FBG), and Gensini score in patients with acute myocardial infarction (AMI) to clarify the effects of RBG and FBG on the severity of coronary artery disease.

Method

A total of 958 consecutive AMI patients who underwent emergency coronary angiography at the Cardiology Department of Zhongda Hospital (affiliated with Southeast University) were enrolled in this study from January 1, 2016, to December 31, 2018. The Gensini score of each patient was calculated according to the results of coronary angiography. The RBG, FBG, baseline data, hematological indexes, echocardiography parameters, coronary angiography data, and the use of intra-aortic balloon pump (IABP) were recorded. Patients with an RBG level >11.1 mmol/L were classified into the stress hyperglycemia group, and those with an FBG level >7.0 mmol/L were classified into the elevated FBG group. The Gensini scores in the stress hyperglycemia and elevated FBG groups were compared to those in the control group, and correlations between the RBG and FBG levels and the Gensini scores of AMI patients were evaluated. Independent risk factors for the Gensini score were analyzed by multiple linear and multiple logistic regression analyses.

Results

The Gensini scores of the stress hyperglycemia group and the elevated FBG group were higher than those of the control group. RBG and FBG were positively correlated with the Gensini score, and there were significant differences between RBG and FBG in different Gensini score groups. After adjusting for confounding factors, multiple linear regression analysis showed that sex, diabetes, estimated glomerular filtration rate (eGFR), and FBG were independent risk factors for the Gensini score. Multiple logistic regression analysis showed that age and FBG were independent risk factors in group 2 compared to group 1, eGFR and FBG were independent risk factors in group 3, and eGFR and FBG were independent risk factors in group 4. Diabetes and RBG were not independent risk factors for the Gensini score.

Conclusion

The Gensini scores of patients in the stress hyperglycemia group and the elevated FBG group were significantly higher than those in the control group. RBG and FBG were positively correlated with the Gensini score in AMI patients, and FBG was an independent risk factor for the Gensini score in AMI patients.

The Prognostic Importance of Impaired Fasting Glycemia in Chronic Coronary Heart Disease Patients

OBJECTIVES

Impaired glucose metabolism represents one the most important cardiovascular risk factors, with steeply raising prevalence in overall population. We aimed to compare mortality risk of impaired fasting glycaemia (IFG) and overt diabetes mellitus (DM) in patients with coronary heart disease (CHD).

STUDY DESIGN

prospective cohort study METHODS: A total of 1685 patients, 6-24 months after myocardial infarction and/or coronary revascularization at baseline, were followed in a prospective cohort study. Overt DM was defined as fasting glucose ≥ 7 mmol/L and/or use of antidiabetic treatment, while IFG as fasting glucose 5.6-6.99 mmol/L, but no antidiabetic medication. The main outcomes were total and cardiovascular mortality during 5 years of follow-up.

RESULTS

During follow-up of 1826 days, 172 patients (10.2%) deceased, and of them 122 (7.2%) from a cardiovascular cause. Both exposures, overt DM (n=623, 37.0% of the whole sample) and IFG (n=436, 25.9%) were associated with an independent increase of 5-year total mortality, compared to normoglycemic subjects [fully adjusted hazard risk ratio (HRR) 1.63 (95%CI: 1.01-2.61)]; p=0.043 and 2.25 (95%CI: 1.45-3.50); p<0.0001, respectively]. In contrast, comparing both glucose disorders one with each other, no significant differences were found for total mortality [HRR 0.82 (0.53-1.28); p=0.33]. Taking 5-years cardiovascular mortality as outcome, similar pattern was observed [HRR 1.96 (95%CI: 1.06-3.63) and 3.84 (95%CI: 2.19-6.73) for overt DM and IFG, respectively, with HRR 0.63 (95%CI: 0.37-1.07) for comparison of both disorders].

CONCLUSIONS

Impaired fasting glycaemia adversely increases mortality of CHD patients in the same extent as overt DM.

Association of Prediabetes With Higher Coronary Atherosclerotic Burden Among Patients With First Diagnosed Acute Coronary Syndrome

Diabetes mellitus (DM) is associated with more extensive coronary atherosclerosis and more vulnerable plaque phenotypes. However, DM should not be considered a homogeneous and purely binary entity in terms of risk assessment. We evaluated the impact of prediabetic status on coronary atherosclerosis burden in patients with first-time acute coronary syndrome (ACS) who underwent urgent coronary angiography. The patients were divided into DM, prediabetes, and control groups. The 3-vessel disease (TVD) rates and SYNTAX and Gensini scoring systems for defining atherosclerotic burden were compared. The study was conducted in 469 consecutive patients admitted with a diagnosis of ACS. Of these, 250 patients were admitted at the first occurrence of ACS undergoing diagnostic coronary angiography. SYNTAX and Gensini scores and TVD rates were higher in prediabetic patients than in nondiabetic patients ( P = .004, P = .008, and P = .014, respectively), but similar in prediabetic and diabetic patients ( P = .912, P = .773, and P = 1.000, respectively). Coronary atherosclerosis burden is more advanced in prediabetic patients than in nondiabetic patients and is comparable between prediabetic and diabetic patients at first presentation of ACS. Cardiologists should not miss the opportunity to diagnose prediabetes and DM when patients present with an ACS.