Prospective study of the impact of diabetes mellitus newly diagnosed by glycated hemoglobin on outcomes in patients undergoing percutaneous coronary intervention

Prevalence, clinical characteristics, and long-term outcomes of new diabetes diagnosis in elderly patients undergoing percutaneous coronary intervention

Previous studies have reported associations between newly diagnosed diabetes and poor outcomes after percutaneous coronary intervention (PCI), but there is limited data focusing on elderly patients (age ≥ 65). This study aimed to analyze the prevalence and clinical implications of newly diagnosed diabetes in elderly patients who underwent PCI. From 2004 to 2021, a total of 2456 elderly patients who underwent invasive PCI at Korea University Guro Hospital were prospectively enrolled and followed up for a median of five years. The primary endpoint was five-year major adverse cardiovascular events (MACE). Cox regression was used to evaluate whether newly diagnosed diabetes impacted on long-term clinical outcomes. Newly diagnosed diabetes was presented in approximately 8.1% to 10.9% of elderly patients who underwent PCI. Those who had a new diagnosis of diabetes had a higher risk of MACE than previously known diabetes (25.28% vs. 19.15%, p = 0.039). After adjusting for significant factors, newly diagnosed diabetes remained an independent predictor of MACE (HR [hazard ratio] 1.64, 95% confidence interval [CI] 1.24-2.17, p < 0.001), cardiac death (HR 2.15, 95% CI 1.29-3.59, p = 0.003) and repeat revascularization (HR 1.52, 95% CI 1.09-2.11, p = 0.013), but not for non-fatal myocardial infarction (HR 1.66, 95% CI 0.94-2.12, p = 0.081). Newly diagnosed diabetes was associated with an increased risk of 5-year MACE compared with non-diabetes and previously diagnosed diabetes in elderly patients underwent PCI. More attention should be given to those elderly newly diagnosed diabetes population.

Hyperglycemia newly detected by glycated hemoglobin affects all-cause mortality in coronary artery disease patients: a retrospective cohort study

AIMS

We aim to assess the relationship between hyperglycemia and long-term prognosis in CAD patients without known diabetes.

METHODS

In this retrospective observational study, we enrolled 11,384 CAD patients without known diabetes. Newly detected diabetes was defined as HbA1c ≥ 6.5 %, and prediabetes was defined as HbA1c ranging from 5.7 to 6.4 %.The association between hyperglycemia and long-term all-cause mortality was examined using Cox proportional hazards regression analysis.

RESULTS

According to HbA1c level, 8207 (72.1 %) patients had hyperglycemia, including 13.0 % with diabetes and 59.1 % with prediabetes. During a median follow-up of 4.9 years, 1157(10.2 %) patients died. Compared with normoglycemia, hyperglycemia was associated with increased risk for long-term mortality (adjusted hazard ratio for diabetes and prediabetes: 1.23 [95 % confidence interval (CI): 1.00 to 1.51] and 1.17 [95 % CI: 1.01 to 1.36], respectively).

CONCLUSIONS

Hyperglycemia detected by HbA1c was common in CAD patients without known diabetes and was associated with increased long-term mortality. It is necessary to routinely use HbA1c to assess glucose metabolic status in CAD patients and treat hyperglycemia as early as possible to reduce the risk of adverse outcomes.

Two-Hour Post-Load Plasma Glucose, a Biomarker to Improve the GRACE Score in Patients without Known Diabetes

OBJECTIVE

To assess improvement in predictive performance of Global Registry of Acute Coronary Events risk score (GRS) by addition of a glucose matrix.

METHODS

1,056 acute coronary syndrome (ACS) survivors without known diabetes had pre-discharge fasting (FPG) and 2-h post-load plasma glucose (2h-PG) measured. GRS was calculated. Major adverse cardiac events (MACE; death and non-fatal myocardial infarction) were recorded during follow-up. Cox proportional hazard regression predicted event-free survival. Likelihood ratio test, Akaike's information criteria, continuous net reclassification index (NRI>0), and integrated discrimination improvement (IDI) were used to test the additional prognostic value of glycaemic indices over GRS.

RESULTS

During a median follow-up of 36.5 months, 211 MACEs (20.0%), 96 deaths (9.1%), and 115 non-fatal re-infarctions (10.9%), occurred. 2h-PG, but not FPG, independently predicted MACE-free survival at all time points (HR 1.08, 95% CI 1.03-1.13, p = 0.002, at 3 years). Risk of MACE increased by 8-11% with every 1 mmol/L rise in 2h-PG. 2h-PG significantly improved the prognostic models containing GRS. Models containing GRS and 2h-PG yielded lowest corrected Akaike's information criteria compared to that with only GRS. 2h-PG, but not FPG, improved NRI>0 (NRI>0 0.169, p = 0.028 at 3 years) and IDI (IDI of 0.66%, p = 0.018 at 3 years) significantly at all time points during the follow-up.

CONCLUSIONS

2h-PG, but not FPG, improves performance of GRS-containing models in predicting post-ACS prognosis in the short to medium term.

Newly Discovered Abnormal Glucose Tolerance in Patients With Acute Myocardial Infarction and Cardiovascular Outcomes: A Meta-analysis

BACKGROUND

The prevalence of unrecognized abnormal glucose tolerance (AGT) and the incidence of recurrent cardiovascular (CV) events in patients with acute myocardial infarction (MI) has not been systematically evaluated.

PURPOSE

The purposes of this study were to define the prevalence of newly discovered AGT and examine the risk of recurrent major adverse cardiac events (MACE) and mortality in patients with acute MI.

DATA SOURCES

Medline, Embase, Cochrane Library, and Google Scholar were searched for relevant articles.

STUDY SELECTION

Inclusion criteria included prospective studies in patients with acute MI without known history of diabetes; AGT diagnosed using fasting plasma glucose, 2-h oral glucose tolerance test, or HbA_1c; and incidence of MACE and/or all-cause mortality in newly discovered AGT.

DATA EXTRACTION

Two investigators extracted the data. Pooled prevalence, incidence rate ratios, and hazard ratios (HRs) were calculated using random-effects models.

DATA SYNTHESIS

In 19 studies (n = 41,509, median follow-up 3.1 years), prevalence of newly discovered AGT was 48.4% (95% CI 40.2-56.6). Prediabetes had a higher mortality risk than normal glucose tolerance (NGT) (HR 1.36 [95% CI 1.13-1.63], P < 0.001) and MACE (1.42 [1.20-1.68], P < 0.001). Newly diagnosed diabetes had higher mortality risk than NGT (1.74 [1.48-2.05], P < 0.001) and MACE (1.54 [1.23-1.93], P < 0.001).

LIMITATIONS

This is not a meta-analysis of individual patient data. Time-to-event analysis and covariate-adjusted analysis cannot be conducted to examine heterogeneity reliably. Few studies reported CV death and heart failure hospitalizations.

CONCLUSIONS

Patients with acute MI have a high prevalence of newly discovered AGT. Aggressive risk reduction strategies in this population, especially in those with prediabetes, are warranted.

Percutaneous coronary intervention in diabetic versus non-diabetic patients with prior coronary artery bypass grafting: a propensity score matching study

Background

The target of this study was to explore the outcomes of percutaneous coronary intervention (PCI) in diabetic versus non-diabetic patients with prior coronary artery bypass grafting (CABG) surgery.

Methods

Seven hundred and twenty four patients who had previously received CABG and had been treated using PCI combined with drug-eluting stents (DES) between 2009 and 2017 were selected for a retrospective study and allocated into either a diabetes mellitus (DM) or non-diabetes mellitus (No DM) group. A 1:1 propensity score-matched evaluation was conducted and risk adjusted for analysis. The primary outcomes were cardiac death, myocardial infarction, heart failure and revascularization, with a median follow-up duration of 5.13 years.

Results

After matching, two-, 5- and 8-year event rate of overall major adverse cardiac events (MACEs) were found to be higher in the DM group (No DM vs DM:15.3, 30.9, 38.5% vs 19.8, 37.8, 52.2%, respectively), although no significant difference was found in the event rate of overall MACEs (hazard ratio [HR]: 1.35; 95% confidence interval [CI]: 1.00 to 1.83 for DM vs No DM; P = 0.052), cardiac death (HR: 0.94; 95% CI: 0.45 to 1.95; P = 0.871), MI (HR: 1.49; 95% CI: 0.95 to 2.32; P = 0.080), HF (HR: 1.54; 95% CI: 0.90 to 2.63 for; P = 0.120) or revascularization (HR: 1.07; 95% CI: 0.72 to 1.59; P = 0.747). Subgroup analysis of PCI in only the NCA showed MACEs (adjusted HR: 1.13; 95% CI: 0.85 to 1.49 for DM vs No DM; P = 0.325), cardiac death (adjusted HR: 0.85; 95% CI: 0.41 to 1.78 for DM vs No DM; P = 0.781), MI (adjusted HR: 1.32; 95% CI: 0.84 to 2.01 for DM vs No DM; P = 0.069), HF (adjusted HR: 1.41; 95% CI: 0.87 to 2.27 for DM vs No DM; P = 0.211) or repeated revascularization (adjusted HR: 0.93; 95% CI: 0.64 to 1.37 for DM vs No DM; P = 0.836).

Conclusions

Compared with non-diabetic patients with prior CABG, subsequent implantation of DES in the native coronary artery of diabetic patients resulted in apparently similar outcomes.

Trial registration

This study was not registered in an open access database.

Newly diagnosed abnormal glucose tolerance determines post-MI prognosis in patients with hospital related hyperglycaemia but without known diabetes

AIMS

Investigate if abnormal glucose tolerance (AGT) affects post-myocardial infarction (MI) prognosis in patients with hospital-related hyperglycaemia (HRH) but without known diabetes mellitus (KDM).

METHODS

Post-MI survivors without KDM underwent pre-discharge oral glucose tolerance test. Cardiovascular death and non-fatal re-infarction (MACE) were recorded. We compare the ability of admission (APG), fasting (FPG) and 2 h post-load (2 h-PG) plasma glucose to predict MACE in patients with (HRH) and without HRH (NoHRH).

RESULTS

50.2% and 73% of NoHRH and HRH had AGT respectively. MACE occurred in 19.5% and 18.1% in HRH and NoHRH groups. MACE-free survival was lower in patient with AGT in both groups (NoHRH: HR 1.82, 95% CI 1.19-2.78, p = 0.005; HRH: HR 2.48, 95% CI 1.24-4.96, p = 0.010). AGT predicted MACE-free survival (NoHRH: HR 1.60, 95% CI 1.02-2.51, p = 0.042; HRH: HR 3.09, 95% CI 1.07-8.94, p = 0.037). 2 h-PG, but not FPG or APG, independently predicted MACE free survival (NoHRH: HR 1.17, 95% CI 1.07-1.27, p ≤0.001 and HRH: HR 1.18, 95% CI 1.03-1.37, p = 0.020). Addition of AGT and 2 h-PG, not FPG or APG, improved net reclassification of events in both groups.

CONCLUSION

Post-MI prognosis is worse with AGT irrespective of presence of HRH. 2 h-PG, predicts prognosis in HRH and NoHRH groups.

Adjustment of the GRACE score by 2-hour post-load glucose improves prediction of long-term major adverse cardiac events in acute coronary syndrome in patients without known diabetes

Aims

Global Registry of Acute Coronary Events (GRACE) risk score (GRS), a powerful predictor of prognosis after acute coronary event (ACE), does not include a glucometabolic measure. We investigate whether 2 h post-load plasma glucose (2h-PG) could improve GRS based prognostic models in ACE patients without known diabetes mellitus (DM).

Methods and results

A retrospective cohort study of 1056 ACE survivors without known DM who had fasting plasma glucose (FPG) and 2h-PG measured pre-discharge. Death and non-fatal myocardial infarction were recorded as major adverse cardiac events (MACE) during follow-up. GRS for discharge to 6 months was calculated. Cox proportional-hazards regression was used to identify predictors of event free survival. The predictive value of 2h-PG alone and combined with GRS was estimated using likelihood ratio test, Akaike's information criteria, continuous net reclassification improvement (NRI>0), and integrated discrimination improvement (IDI). During 40.8 months follow-up 235 MACEs (22.3%) occurred, more frequently in the upper 2h-PG quartiles. Two-hour PG, but not FPG, adjusted for GRS independently predicted MACE (hazard ratio 1.091, 95% confidence interval 1.043-1.142; P = 0.0002). likelihood ratio test showed that 2h-PG significantly improved the prognostic models including GRS (χ2 = 20.56, 1 df; P = 0.000). Models containing GRS and 2h-PG yielded lowest corrected Akaike's information criteria, compared to that with only GRS. 2h-PG, when added to GRS, improved net reclassification significantly (NRIe>0 6.4%, NRIne>0 24%, NRI>0 0.176; P = 0.017 at final follow-up). Two-hour PG, improved integrated discrimination of models containing GRS (IDI of 0.87%, P = 0.008 at final follow-up).

Conclusion

Two-hour PG, but not FPG, is an independent predictor of adverse outcome after ACE even after adjusting for the GRS. Two-hour PG, but not FPG, improves the predictability of prognostic models containing GRS.

Survey to estimate the prevalence of type 2 diabetes mellitus in hospital patients in Germany by systematic HbA1c measurement upon admission

OBJECTIVES

The objective of this survey was to estimate the prevalence of type 2 diabetes mellitus (T2DM) in hospitalised patients ≥55 years based on routine HbA1c measurement upon admission, using the diagnosis algorithm according to the German National Diabetes Care Guideline.

DESIGN

Non-interventional survey.

SETTING

Four German maximum care hospitals.

POPULATION

Consecutive patients ≥55 years of age admitted to hospital.

MAIN OUTCOME MEASURES

Participating hospitals measured HbA1c upon admission and applied the algorithm for diagnosing T2DM per the clinical recommendations of the American Diabetes Association (ADA) and the German National Diabetes Care Guideline as part of the clinical routine and allocated patients to three diagnostic categories: T2DM, increased risk for T2DM, no T2DM.

RESULTS

Between Oct 2014 and May 2015, the survey documented data from 6092 patients; the analyses included 5820 patients fulfilling validity criteria (95.5%). Of these, 1906 (32.7%) had a known history of T2DM. Among the 3914 remaining patients, 2181 had no T2DM (55.8%), 1180 an increased risk for T2DM (30.1%) and 553 unrecognised T2DM (14.1%; 95% CI: 13.1%-15.3%). The overall prevalence of known and unrecognised T2DM was 42.3% (95% CI: 41.0%-43.5%). Patients with previously unrecognised T2DM were admitted to hospital predominantly for cardiac disorders (21.9%), nervous system disorders such as cerebral infarction (15.0%) and infections/infestations (13.4%).

CONCLUSIONS

This survey revealed an overall prevalence of known and unrecognised T2DM of more than 40%. Among patients with unrecognised T2DM on admission, the prevalence of T2DM was 14%. These data indicate that systematic documentation of T2DM in in-patients is clinically useful. Hospitals should consider using the diagnostic algorithm and to streamline pathways of care to secure adequate care considering patients' diabetic risk profiles, and to manage related additional costs.

Two-hour post-challenge glucose is a better predictor of adverse outcome after myocardial infarction than fasting or admission glucose in patients without diabetes

AIMS

We evaluate prevalence of new abnormal glucose tolerance (AGT) in post-MI survivors without known diabetes (DM) if guidelines are followed and compare the ability of admission (APG), fasting (FPG) and 2-h post-load plasma glucose (2h-PG) to predict prognosis.

METHODS

A total of 674 patients were followed up for 4 years for incidence of major adverse cardiovascular events (MACE) of cardiovascular death, non-fatal re-infarction or non-haemorrhagic stroke. Ability of models including APG, FPG and 2h-PG to predict MACE was compared.

RESULTS

Of the total, 93-96% of impaired glucose tolerance and 64-75% of DM would be missed with current guidelines. MACE was higher in the upper quartiles of 2h-PG. When 2h-PG and FPG were included simultaneously in models, only 2h-PG predicted MACE (HR 1.12, CI 1.04-1.20, p = 0.0012), all cause mortality (HR 1.17, CI 1.05-1.30, p = 0.0039), cardiovascular mortality (HR 1.17, CI 1.02-1.33, p = 0.0205) and non-fatal MI (HR 1.10, CI 1.01-1.20, p = 0.0291). Adding 2h-PG significantly improved ability of models including FPG (χ² = 16.01, df = 1, p = 0.0001) or FPG and APG (χ² = 17.36, df = 1, p = 0.000) to predict MACE. Model including 2h-PG only had the lowest Akaike's information criteria and highest Akaike weights suggesting that this was the best in predicting events. Adding 2h-PG to models including FPG or APG with other co-variates yielded continuous net reclassification improvement (NRI) of 0.22 (p = 0.026) and 0.27 (p = 0.005) and categorical NRI of 0.09 (p = 0.032) and 0.12 (p = 0.014), respectively. Adding 2 h-PG to models including only FPG, only APG and both yielded integrated discrimination improvement of 0.012 (p = 0.015), 0.022 (p = 0.001) and 0.013 (p = 0.014), respectively.

CONCLUSIONS

AGT is under-diagnosed on current guidelines. 2h-PG is a better predictor of prognosis compared to APG and FPG.

Circulating Prolidase Activity in Patients with Myocardial Infarction

Background

Collagen is a major determinant of atherosclerotic plaque stability. Thus, identification of differences in enzymes that regulate collagen integrity could be useful for predicting susceptibility to atherothrombosis or for diagnosing plaque rupture. In this study, we sought to determine whether prolidase, the rate-limiting enzyme of collagen turnover, differs in human subjects with acute myocardial infarction (MI) versus those with stable coronary artery disease (CAD).

Methods

We measured serum prolidase activity in 15 patients with stable CAD and 49 patients with acute MI, of which a subset had clearly defined thrombotic MI (n = 22) or non-thrombotic MI (n = 12). Prolidase activity was compared across study time points (at cardiac catheterization, T0; 6 h after presentation, T6; and at a quiescent follow-up, Tf/u) in acute MI and stable CAD subjects. We performed subgroup analyses to evaluate prolidase activity in subjects presenting with acute thrombotic versus non-thrombotic MI.

Results

Although prolidase activity was lower at T0 and T6 versus the quiescent phase in acute MI and stable CAD subjects (p < 0.0001), it was not significantly different between acute MI and stable CAD subjects at any time point (T0, T6, and Tf/u) or between thrombotic and non-thrombotic MI groups. Preliminary data from stratified analyses of a small number of diabetic subjects (n = 8) suggested lower prolidase activity in diabetic acute MI subjects compared with non-diabetic acute MI subjects (p = 0.02).

Conclusion

Circulating prolidase is not significantly different between patients with acute MI and stable CAD or between patients with thrombotic and non-thrombotic MI. Further studies are required to determine if diabetes significantly affects prolidase activity and how this might relate to the risk of MI.