Long-term excess mortality associated with diabetes following acute myocardial infarction: a population-based cohort study

Type 2 diabetes mellitus in acute myocardial infarction: a persistent significant burden on long-term mortality

Objective

The long-term impact of type 2 diabetes mellitus (T2DM) after an acute myocardial infarction (AMI) has not been thoroughly investigated yet. This study aimed to assess the long-term impact of T2DM after AMI.

Research design and methods

We analyzed the data of three nationwide observational studies from the French Registry of Acute ST-elevation and non-ST-elevation Myocardial Infarction (FAST-MI) program, conducted over a 1-month period in 2005, 2010, and 2015. Patients presenting T2DM were classified as diabetic, and patients presenting type 1 diabetes mellitus were excluded. We identified factors related to all-cause death at 1-year follow-up and divided 1,897 subjects into two groups, paired based on their estimated 1-year probability of death as determined by a logistic regression model.

Results

A total of 9,181 AMI patients were included in the analysis, among them 2,038 (22.2%) had T2DM. Patients with diabetes were significantly older (68.2 ± 12.0 vs. 63.8 ± 14.4, p < 0.001) and had a higher prevalence of a prior history of percutaneous coronary intervention (PCI), coronary artery bypass grafting (CABG), or heart failure (22.5% vs. 13.0%, 7.1% vs. 3.1% and 6.7 vs. 3.8% respectively, p < 0.001 for all). Even after matching two groups of 1,897 patients based on propensity score for their 1-year probability of death, diabetes remained associated with long-term mortality, with an HR of 1.30, 95%CI (1.17-1.45), p < 0.001.

Conclusions

T2DM per se has an adverse impact on long-term survival after myocardial infarction. Independently of the risk of short-term mortality, patients with diabetes who survived an AMI have a 30% higher risk of long-term mortality.

Newly detected diabetes mellitus patients with acute coronary syndrome have an adverse cardiometabolic profile similar to patients with prior diabetes and a more extensive ischemic myocardial insult

AIMS

The impact of newly detected diabetes mellitus (NDDM) on metabolic parameters and extent of myocardial necrosis in patients with acute coronary syndrome (ACS) is not fully explored. We examined the impact of NDDM on cardiometabolic characteristics and myocardial necrosis in ACS patients.

METHODS

CALLINICUS-Hellas Registry is an ongoing prospective multicenter observational study evaluating the adherence to lipid-lowering therapy (LLT) among ACS patients in Greece. Three groups were created: a) patients with NDDM (abnormal fasting glucose, HbA1c ≥ 6.5 % and no previous history of DM), b) patients without known DM and HbA1c < 6.5 % (non-DM) and c) patients with prior DM.

RESULTS

The prevalence of NDDM among 1084 patients was 6.9 %. NDDM patients had lower HDL-C [38 (32-45) vs 42 (36-50) mg/dL] and higher triglycerides levels [144 (104-231) vs 115 (87-152) mg/dL] compared to non-DM patients (p < 0.05). NDDM patients featured both higher body mass index [29.5 (26.4-34.3) vs 27.1 (24.9-29.9) kg/m2] and waist circumference [107 (100-114) vs 98 (91-106) cm] compared to non-DM patients (p < 0.05). In addition, NDDM patients had more extensive myocardial necrosis than patients with prior DM.

CONCLUSIONS

ACS patients with NDDM have an adverse cardiometabolic profile similar to patients with prior DM and have more extensive myocardial insult.

Blood glucose fluctuation and in-hospital mortality among patients with acute myocardial infarction: eICU collaborative research database

BACKGROUND

To assess the relationship between glycemic variability, glucose fluctuation trajectory and the risk of in-hospital mortality in patients with acute myocardial infarction (AMI).

METHODS

This retrospective cohort study included AMI patients from eICU Collaborative Research Database. In-hospital mortality of AMI patients was primary endpoint. Blood glucose levels at admission, glycemic variability, and glucose fluctuation trajectory were three main study variables. Blood glucose levels at admission were stratified into: normal, intermediate, and high. Glycemic variability was evaluated using the coefficient of variation (CV), divided into four groups based on quartiles: quartile 1: CV≤10; quartile 2: 1030. Univariate and multivariate Cox regression models to assess the relationship between blood glucose levels at admission, glycemic variability, glucose fluctuation trajectory, and in-hospital mortality in patients with AMI.

RESULTS

2590 participants were eventually included in this study. There was a positive relationship between high blood glucose level at admission and in-hospital mortality [hazard ratio (HR) = 1.42, 95%confidence interval (CI): 1.06-1.89]. The fourth quartile (CV>30) of CV was associated with increased in-hospital mortality (HR = 2.06, 95% CI: 1.25-3.40). The findings indicated that only AMI individuals in the fourth quartile of glycemic variability, exhibited an elevated in-hospital mortality among those with normal blood glucose levels at admission (HR = 2.33, 95% CI: 1.11-4.87). Additionally, elevated blood glucose level was a risk factor for in-hospital mortality in AMI patients.

CONCLUSION

Glycemic variability was correlated with in-hospital mortality, particularly among AMI patients who had normal blood glucose levels at admission. Our study findings also suggest early intervention should be implemented to normalize high blood glucose levels at admission of AMI.

Multimorbidity and mortality among older patients with coronary heart disease in Shenzhen, China

BACKGROUND

The current understanding of the magnitude and consequences of multimorbidity in Chinese older adults with coronary heart disease (CHD) is insufficient. We aimed to assess the association and population-attributable fractions (PAFs) between multimorbidity and mortality among hospitalized older patients who were diagnosed with CHD in Shenzhen, China.

METHODS

We conducted a retrospective cohort study of older Chinese patients (aged ≥ 65 years) who were diagnosed with CHD. Cox proportional hazards models were used to estimate the associations between multimorbidity and all-cause and cardiovascular disease (CVD) mortality. We also calculated the PAFs.

RESULTS

The study comprised 76,455 older hospitalized patients who were diagnosed with CHD between January 1, 2016, and August 31, 2022. Among them, 70,217 (91.9%) had multimorbidity, defined as the presence of at least one of the predefined 14 chronic conditions. Those with cancer, hemorrhagic stroke and chronic liver disease had the worst overall death risk, with adjusted HRs (95% CIs) of 4.05 (3.77, 4.38), 2.22 (1.94, 2.53), and 1.85 (1.63, 2.11), respectively. For CVD mortality, the highest risk was observed for hemorrhagic stroke, ischemic stroke, and chronic kidney disease; the corresponding adjusted HRs (95% CIs) were 3.24 (2.77, 3.79), 1.91 (1.79, 2.04), and 1.81 (1.64, 1.99), respectively. All-cause mortality was mostly attributable to cancer, heart failure and ischemic stroke, with PAFs of 11.8, 10.2, and 9.1, respectively. As for CVD mortality, the leading PAFs were heart failure, ischemic stroke and diabetes; the corresponding PAFs were 18.0, 15.7, and 6.1, respectively.

CONCLUSIONS

Multimorbidity was common and had a significant impact on mortality among older patients with CHD in Shenzhen, China. Cancer, heart failure, ischemic stroke and diabetes are the primary contributors to PAFs. Therefore, prioritizing improved treatment and management of these comorbidities is essential for the survival prognosis of CHD patients from a holistic public health perspective.

Glycaemic control in people with diabetes following acute myocardial infarction

Diabetes is a highly prevalent disease associated with considerable cardiovascular end organ damage and mortality. Despite significant changes to the management of acute myocardial infarction over the last two decades, people with diabetes remain at risk of complications and mortality following a myocardial infarct for a multitude of reasons, including increased coronary atherosclerosis, associated coronary microvascular dysfunction, and diabetic cardiomyopathy. Dysglycaemia causes significant endothelial dysfunction and upregulation of inflammation within the vasculature and epigenetic changes mean that these deleterious effects may persist despite subsequent efforts to tighten glycaemic control. Whilst clinical guidelines advocate for the avoidance of both hyper- and hypoglcyaemia in the peri-infarct period, the evidence base is lacking, and currently there is no consensus on the benefits of glycaemic control beyond this period. Glycaemic variability contributes to the glycaemic milieu and may have prognostic importance following myocardial infarct. The use of continuous glucose monitoring means that glucose trends and parameters can now be captured and interrogated, and its use, along with newer medicines, may provide novel opportunities for intervention after myocardial infarction in people with diabetes.

Incidence and predictors of cardiovascular outcomes after acute coronary syndrome in a population-based cohort study

There is limited data on long-term outcomes after hospitalization for ACS. We aimed to estimate the rate of recurrent cardiovascular events in the long-term, in a population-based, unselected cohort of ACS patients. We included 1379 patients with ACS hospitalized at Östersund hospital 2010-2014 and followed them from the day after discharge to 31 December 2017. The primary endpoint was the unadjusted rate of the composite of CV death, AMI and ischemic stroke. Risk factors for the primary endpoint were assessed in a multivariable Cox proportional hazards regression model. During a median follow-up of 4.7 years, the unadjusted rate of the primary endpoint was 10.3% at 1 year and 28.6% at the end of follow-up. Predictors of increased risk for subsequent events were congestive heart failure, diabetes mellitus, angina pectoris, prior revascularization with PCI or CABG and treatment with diuretics at discharge. Lipid-lowering therapy at discharge and revascularization with PCI or CABG were associated with a lower risk of recurrent events. The risk of recurrent cardiovascular was high at 1 year and continued to be so during the following almost 3 years of median follow-up. Established predictors of cardiovascular risk were confirmed.

Comparison between Machine Learning and Multiple Linear Regression to Identify Abnormal Thallium Myocardial Perfusion Scan in Chinese Type 2 Diabetes

Type 2 diabetes mellitus (T2DM) patients have a high risk of coronary artery disease (CAD). Thallium-201 myocardial perfusion scan (Th-201 scan) is a non-invasive and extensively used tool in recognizing CAD in clinical settings. In this study, we attempted to compare the predictive accuracy of evaluating abnormal Th-201 scans using traditional multiple linear regression (MLR) with four machine learning (ML) methods. From the study, we can determine whether ML surpasses traditional MLR and rank the clinical variables and compare them with previous reports.In total, 796 T2DM, including 368 men and 528 women, were enrolled. In addition to traditional MLR, classification and regression tree (CART), random forest (RF), stochastic gradient boosting (SGB) and eXtreme gradient boosting (XGBoost) were also used to analyze abnormal Th-201 scans. Stress sum score was used as the endpoint (dependent variable). Our findings show that all four root mean square errors of ML are smaller than with MLR, which implies that ML is more precise than MLR in determining abnormal Th-201 scans by using clinical parameters. The first seven factors, from the most important to the least are:body mass index, hemoglobin, age, glycated hemoglobin, Creatinine, systolic and diastolic blood pressure. In conclusion, ML is not inferior to traditional MLR in predicting abnormal Th-201 scans, and the most important factors are body mass index, hemoglobin, age, glycated hemoglobin, creatinine, systolic and diastolic blood pressure. ML methods are superior in these kinds of studies.

ST-elevation myocardial infarction due to coronary thrombus in a young patient with diabetic ketoacidosis and a new diagnosis of type 2 diabetes

The association between cardiovascular disease and diabetes is increasingly understood and shared therapeutic targets are emerging. We describe the presentation and successful management of ST-elevation myocardial infarction (STEMI) secondary to coronary thrombus in a young patient with a new diagnosis of type 2 diabetes and diabetic ketoacidosis.

Should PRECISE-DAPT be included for long-term prognostic stratification of diabetic patients with NSTEACS?

AIMS

There are insufficient data regarding risk scores validation in patients with diabetes mellitus and non-ST elevation acute coronary syndrome (NSTEACS). We performed a diabetes mellitus-specific analysis of cardiovascular outcomes after NSTEACS. We tested the predictive power of the Global Registry of Acute Coronary Events (GRACE) and PREdicting bleeding Complications In patients undergoing Stent implantation and subsEquent Dual Anti-Platelet Therapy (PRECISE-DAPT) scores.

METHODS

This work is a retrospective analysis that included 7,415 consecutive NSTEACS patients from two Spanish Universitarian hospitals between the years 2003 and 2017. The area under the ROC curve among with and without diabetes mellitus patients was calculated, to evaluate the predictive power of both scores.  RESULTS: Among the study participants, 2124 patients (28.0%) were diabetic. The median follow-up was 54,3 months (IQR 24,7-80,0 months). Diabetic patients were more women (30.5% vs. 25.7%) and older (70.0 ± 10.8 vs. 65.3 ± 13.2 years old); they had higher GRACE (146 ± 36 vs. 137 ± 36), PRECISE-DAPT (15 ± 7 vs. 18 ± 9) at admission. Early invasive coronary angiography (≤ 24 h after admission) was performed more frequently in non-diabetic. We tested the predictive power of the GRACE and PRECISE-DAPT risk scores among diabetic and non-diabetic. PRECISE-DAPT risk score showed a good predictive power for all-cause mortality, cardiovascular mortality and MACE in diabetic admitted with NSTEACS, without differences compared to non-diabetic.

CONCLUSIONS

PRECISE-DAPT risk score has an appropriate predictive power in diabetic patients admitted with NSTEACS compared to non-diabetic NSTEACS. However, GRACE would be predictive worse in diabetic during long-term follow-up in a large contemporary registry.

Prognosis Impact of Diabetes in Elderly Women and Men with Non-ST Elevation Acute Coronary Syndrome

Few studies have addressed to date the interaction between sex and diabetes mellitus (DM) in the prognosis of elderly patients with non-ST-segment elevation acute coronary syndrome (NSTEACS). Our aim was to address the role of DM in the prognosis of non-selected elderly patients with NSTEACS according to sex. A retrospective analysis from 11 Spanish NSTEACS registries was conducted, including patients aged ≥70 years. The primary end point was one-year all-cause mortality. A total of 7211 patients were included, 2,770 (38.4%) were women, and 39.9% had DM. Compared with the men, the women were older (79.95 ± 5.75 vs. 78.45 ± 5.43 years, p < 0.001) and more often had a history of hypertension (77% vs. 83.1%, p < 0.01). Anemia and chronic kidney disease were both more common in women. On the other hand, they less frequently had a prior history of arteriosclerotic cardiovascular disease or comorbidities such as peripheral artery disease and chronic pulmonary disease. Women showed a worse clinical profile on admission, though an invasive approach and in-hospital revascularization were both more often performed in men (p < 0.001). At a one-year follow-up, 1090 patients (15%) had died, without a difference between sexes. Male sex was an independent predictor of mortality (HR = 1.15, 95% CI 1.01 to 1.32, p = 0.035), and there was a significant interaction between sex and DM (p = 0.002). DM was strongly associated with mortality in women (HR: 1.45, 95% CI = 1.18–1.78; p < 0.001), but not in men (HR: 0.98, 95% CI = 0.84–1.14; p = 0.787). In conclusion, DM is associated with mortality in older women with NSTEACS, but not in men.

Impact of admission hyperglycemia on short and long-term prognosis in acute myocardial infarction: MINOCA versus MIOCA

Background

The prognostic role of hyperglycemia in patients with myocardial infarction and obstructive coronary arteries (MIOCA) is acknowledged, while data on non-obstructive coronary arteries (MINOCA) are still lacking. Recently, we demonstrated that admission stress-hyperglycemia (aHGL) was associated with a larger infarct size and inflammatory response in MIOCA, while no differences were observed in MINOCA. We aim to investigate the impact of aHGL on short and long-term outcomes in MIOCA and MINOCA patients.

Methods

Multicenter, population-based, cohort study of the prospective registry, designed to evaluate the prognostic information of patients admitted with acute myocardial infarction to S. Orsola-Malpighi and Maggiore Hospitals of Bologna metropolitan area. Among 2704 patients enrolled from 2016 to 2020, 2431 patients were classified according to the presence of aHGL (defined as admission glucose level ≥ 140 mg/dL) and AMI phenotype (MIOCA/MINOCA): no-aHGL (n = 1321), aHGL (n = 877) in MIOCA and no-aHGL (n = 195), aHGL (n = 38) in MINOCA. Short-term outcomes included in-hospital death and arrhythmias. Long-term outcomes were all-cause and cardiovascular mortality.

Results

aHGL was associated with a higher in-hospital arrhythmic burden in MINOCA and MIOCA, with increased in-hospital mortality only in MIOCA. After adjusting for age, gender, hypertension, Killip class and AMI phenotypes, aHGL predicted higher in-hospital mortality in non-diabetic (HR = 4.2; 95% CI 1.9–9.5, p = 0.001) and diabetic patients (HR = 3.5, 95% CI 1.5–8.2, p = 0.003). During long-term follow-up, aHGL was associated with 2-fold increased mortality in MIOCA and a 4-fold increase in MINOCA (p = 0.032 and p = 0.016). Kaplan Meier 3-year survival of non-hyperglycemic patients was greater than in aHGL patients for both groups. No differences in survival were found between hyperglycemic MIOCA and MINOCA patients. After adjusting for age, gender, hypertension, smoking, LVEF, STEMI/NSTEMI and AMI phenotypes (MIOCA/MINOCA), aHGL predicted higher long-term mortality.

Conclusions

aHGL was identified as a strong predictor of adverse short- and long-term outcomes in both MIOCA and MINOCA, regardless of diabetes. aHGL should be considered a high-risk prognostic marker in all AMI patients, independently of the underlying coronary anatomy.

Trial registration data were part of the ongoing observational study AMIPE: Acute Myocardial Infarction, Prognostic and Therapeutic Evaluation. ClinicalTrials.gov Identifier: NCT03883711.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-021-01384-6.

The 1-Year Safety and Efficacy Outcomes of Magmaris, Novel Magnesium Bioresorbable Vascular Scaffolds in Diabetes Mellitus Patients with Acute Coronary Syndrome

Background: Diabetes mellitus (DM) is one of the major risk factors contributing to Acute Coronary Syndromes (ACS) and is associated with an increased risk of adverse clinical outcomes following percutaneous coronary intervention (PCI), even when the second generation of drug-eluting stents (DES) is used. In order to overcome the disadvantages of permanent caging of a vessel with metallic DES, bioresorbable scaffold (BRS) technology has been recently developed. However, the prognosis of patients with DM and ACS treated with PCI via subsequent implantation of Magmaris (Biotronik, Berlin, Germany)—a novel magnesium-bioresorbable scaffold—is poorly investigated. Methods: A total of 193 consecutive subjects with non-ST elevation acute coronary syndrome (NSTE-ACS) who, from October 2016 to March 2020, received one or more Magmaris scaffolds were enrolled in this study. The diabetic group was compared with non-diabetic subjects. Results: There were no significant differences in the occurrence of primary endpoints (cardiovascular death, myocardial infarction, and in-stent thrombosis) and principal secondary endpoints (target-lesion failure, scaffold restenosis, death from any reason, and other cardiovascular events) between the two compared groups in a 1-year follow-up period. Conclusions: The early 1-year-outcome of magnesium bioresorbable scaffold (Magmaris) seems to be favorable and suggests that this novel BRS is safe and effective in subjects with NSTE-ACS and co-existing DM.

Analyses of Increased Mortality in New and Known Diabetes in Patients with Coronary Disease Enrolled in the NORSTENT Randomized Study

BACKGROUND

NORSTENT trial randomized 9,013 patients to percutaneous coronary intervention with drug-eluting stents (DES) or bare-metal stents (BMS) with a 5-year follow-up. Among the patients, 5,512 had measured either fasting glucose level or percent glycated hemoglobin (HbA1c) at the index procedure. That cohort constitutes the present study population analyzing mortality and evaluating treatment heterogeneity of randomized stent in diabetic versus nondiabetic subgroups.

RESULTS

The cohort consisted of 4,174 (75.7%) patients without diabetes, 716 (13.0%) with known diabetes, and 622 (11.3%) with no diabetes in history but elevated fasting glucose level >7.0 mmol/L or HbA1c >6.5% and therefore defined as new diabetes. Patients with known diabetes had a significantly increased all-cause (hazard ratio [HR] 1.99, 95% CI 1.51-2.62, p < 0.001), cardiac (subhazard ratio [SHR] 2.47, 95% CI 1.55-3.93, p < 0.001), and noncardiac (SHR 1.74, 95% CI 1.23-2.44, p = 0.002) mortality after adjustment for baseline variables. In the follow-up of 5 years, patients with new diabetes, however, had a marginally increased all-cause (HR 1.40, 95% CI 1.01-1.93, p = 0.043) and significantly increased noncardiac mortality (SHR 1.52, 95% CI 1.06-2.20, p = 0.025), but no increase in cardiac mortality (SHR 1.06, 95% CI 0.53-2.12, p = 0.86) after the same adjustment. The majority of the mortality was cardiac in the first 1-2 years after intervention; thereafter, noncardiac mortality dominated. However, the time period for when noncardiac mortality became the dominating cause varied considerably and significantly between the groups. There was no heterogeneity in mortality in response to randomized stent between diabetics and nondiabetics.

CONCLUSION

Known diabetes has increased cardiac and noncardiac mortality in contrast to new diabetes which is only associated with increased noncardiac mortality during the 5-year follow-up. Diabetic and nondiabetic patients have the same response to the treatment with BMS or DES.

Does Diabetes Mellitus Increase the Short- and Long-Term Mortality in Patients With Critical Acute Myocardial Infarction? Results From American MIMIC-III and Chinese CIN Cohorts

BACKGROUND

The harmful effect of diabetes mellitus (DM) on mortality in patients with acute myocardial infarction (AMI) remains controversial. Furthermore, few studies focused on critical AMI patients. We aimed to address whether DM increases short- and long-term mortality in this specific population.

METHODS

We analyzed AMI patients admitted into coronary care unit (CCU) with follow-up of ≥1 year from two cohorts (MIMIC-III, Medical Information Mart for Intensive Care III; CIN, Cardiorenal ImprovemeNt Registry) in the United States and China. Main outcome was mortality at 30-day and 1-year following hospitalization. Kaplan-Meier curves and Cox proportional hazards models were constructed to examine the impact of DM on mortality in critical AMI patients.

RESULTS

1774 critical AMI patients (mean age 69.3 ± 14.3 years, 46.1% had DM) were included from MIMIC-III and 3380 from the CIN cohort (mean age 62.2 ± 12.2 years, 29.3% had DM). In both cohorts, DM group was older and more prevalent in cardio-renal dysfunction than non-DM group. Controlling for confounders, DM group has a significantly higher 30-day mortality (adjusted odds ratio (aOR) (95% CI): 2.71 (1.99-3.73) in MIMIC-III; aOR (95% CI): 9.89 (5.81-17.87) in CIN), and increased 1-year mortality (adjusted hazard ratio (aHR) (95% CI): 1.91 (1.56-2.35) in MIMIC-III; aHR (95% CI): 2.62(1.99-3.45) in CIN) than non-DM group.

CONCLUSIONS

Taking into account cardio-renal function, critical AMI patients with DM have a higher 30-day mortality and 1-year mortality than non-DM group in both cohorts. Further studies on prevention and management strategies for DM are needed for this population.

CLINICAL TRIAL REGISTRATION

clinicaltrials.gov, NCT04407936.

Impact of diabetes mellitus on mortality rates and outcomes in myocardial infarction

BACKGROUND

Diabetes mellitus (DM) represents a major cardiovascular risk factor for increased risk of coronary artery disease and myocardial infarction (MI). DM is also associated with a poorer clinical outcome in MI.

MATERIALS AND METHODS

The nationwide German inpatient population treated between 2005 and 2016 was used for statistical analyses. Hospitalized MI patients were stratified by the presence of DM and investigated for the impact of DM on in-hospital events.

RESULTS

In total, 3,307,703 hospitalizations for acute MI (37.6% female patients, 56.8% aged ≥ 70 years) treated in Germany during 2005-2016 were included in this analysis. Of these patients, 410,737 (12.4%) died while in hospital. Overall, 1,007,326 (30.5%) MI cases were coded for DM. While the rate of MI patients with DM increased slightly over time, from 29.8% in 2005 to 30.7% in 2016 (β = 7.04, 95% CI: 4.13-9.94; P <  0.001), their in-hospital mortality decreased from 15.2% to 11.5% (β = -0.36, 95% CI: -0.38 to -0.34; P <  0.001). Rates of in-hospital death (13.2% vs 12.1%; P <  0.001) and recurrent MI (0.8% vs 0.6%; P <  0.001) were higher in MI patients with vs without DM. Also, in MI patients with DM, significantly lower use of coronary artery angiography (51.5% vs 56.8%; P <  0.001) and interventional revascularization (37.6% vs 43.9%; P <  0.001) was noted.

CONCLUSION

Although in-hospital mortality of patients with MI decreased in both diabetes and non-diabetes patients, in-hospital deaths were still higher in diabetes patients, thereby revealing the impact of this metabolic disorder on cardiovascular outcomes.

Association of treatments for acute myocardial infarction and survival for seven common comorbidity states: a nationwide cohort study

BACKGROUND

Comorbidity is common and has a substantial negative impact on the prognosis of patients with acute myocardial infarction (AMI). Whilst receipt of guideline-indicated treatment for AMI is associated with improved prognosis, the extent to which comorbidities influence treatment provision its efficacy is unknown. Therefore, we investigated the association between treatment provision for AMI and survival for seven common comorbidities.

METHODS

We used data of 693,388 AMI patients recorded in the Myocardial Ischaemia National Audit Project (MINAP), 2003-2013. We investigated the association between comorbidities and receipt of optimal care for AMI (receipt of all eligible guideline-indicated treatments), and the effect of receipt of optimal care for comorbid AMI patients on long-term survival using flexible parametric survival models.

RESULTS

A total of 412,809 [59.5%] patients with AMI had at least one comorbidity, including hypertension (302,388 [48.7%]), diabetes (122,228 [19.4%]), chronic obstructive pulmonary disease (COPD, 89,221 [14.9%]), cerebrovascular disease (51,883 [8.6%]), chronic heart failure (33,813 [5.6%]), chronic renal failure (31,029 [5.0%]) and peripheral vascular disease (27,627 [4.6%]). Receipt of optimal care was associated with greatest survival benefit for patients without comorbidities (HR 0.53, 95% CI 0.51-0.56) followed by patients with hypertension (HR 0.60, 95% CI 0.58-0.62), diabetes (HR 0.83, 95% CI 0.80-0.87), peripheral vascular disease (HR 0.85, 95% CI 0.79-0.91), renal failure (HR 0.89, 95% CI 0.84-0.94) and COPD (HR 0.90, 95% CI 0.87-0.94). For patients with heart failure and cerebrovascular disease, optimal care for AMI was not associated with improved survival.

CONCLUSIONS

Overall, guideline-indicated care was associated with improved long-term survival. However, this was not the case in AMI patients with concomitant heart failure or cerebrovascular disease. There is therefore a need for novel treatments to improve outcomes for AMI patients with pre-existing heart failure or cerebrovascular disease.

Predictors of abnormality in thallium myocardial perfusion scans for type 2 diabetes

Type 2 diabetes mellitus (T2DM) increases coronary artery disease (CAD) risk. In this study, we used T2DM clinical variables to predict abnormality in thallium-201 myocardial perfusion scans (Th-201 scans). These clinical variables were summed stress score (SSS), summed rest score, and summed difference score (SDS), with data obtained from 368 male and 428 female participants with T2DM. Multiple linear regression results were as follows. In male participants, body mass index (BMI) and creatinine (Cr) were associated with SSS (β = 0.224, p < 0.001; β = 0.140, p = 0.022, respectively), and only BMI was associated with SDS (β = 0.174, p = 0.004). In female participants, BMI and high-density lipoprotein cholesterol level were associated with SSS (β = 0.240, p < 0.001; β =  - 0.120, p = 0.048, respectively), and only BMI was correlated with SDS (β = 0.123, p = 0.031). Our multivariate logistic regression indicated that in male and female participants, BMI was the only independent indicator of high SSS (SSS ≥ 9). In this study, we demonstrated that male patients have a higher SSS and SDS than female patients do in Th-201 scans for T2DM in a Chinese population. For male and female patients, BMI was the strongest predictor of abnormality in Th-201 scans. Our results can help clinicians identify patients with T2DM at high risk of CAD.

The interaction effect of cardiac and non-cardiac comorbidity on myocardial infarction mortality: A nationwide cohort study

BACKGROUND

Whether the prognostic impact of comorbidity on myocardial infarction (MI) mortality is due to comorbidity alone or/and its interaction effect is unknown.

METHODS

We used Danish medical registries to conduct a nationwide cohort study of all first-time MIs during 1995-2016 (n = 179,515) and a comparison cohort matched on age, sex, and individual comorbidities (n = 880,347). We calculated age-standardized 5-year all-cause mortality rates. Interaction was examined on an additive scale by calculating interaction contrasts (difference in rate differences).

RESULTS

Among individuals without comorbidity, the 30-day mortality rate per 1000 person-years was 1851 (95% CI: 1818-1884) for MI patients and 22 (21-24) for comparison cohort members (rate difference = 1829). For individuals with low comorbidity, corresponding baseline mortality rates were 2498 (2436-2560) in the MI and 54 (50-57) in the comparison cohort (rate difference = 2444). The interaction contrast (616) indicated that the interaction accounted for 25% (616/2498) of the total 30-day mortality rate in MI patients with low comorbidity. This percentage increased further for moderate (35%) and severe (45%) comorbidity levels. Absolute and relative interaction effects were largest within the first 30 days and younger individuals. Dose-response patterns were also observed during 31-365 days and 1-5 years of follow-up (p-values for trends<0.002). The interaction differed substantially between individual types of cardiac and non-cardiac comorbidities.

CONCLUSION

Cardiac and non-cardiac comorbidities interact with MI to increase short- and long-term mortality beyond that explained by their additive effects. The interaction had a dose-response relation with comorbidity burden and a magnitude of clinical importance.

Statistics on mortality following acute myocardial infarction in 842 897 Europeans

AIMS

To compare ST-segment elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) mortality between Sweden and the UK, adjusting for background population rates of expected death, case mix, and treatments.

METHODS AND RESULTS

National data were collected from hospitals in Sweden [n = 73 hospitals, 180 368 patients, Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART)] and the UK [n = 247, 662 529 patients, Myocardial Ischaemia National Audit Project (MINAP)] between 2003 and 2013. There were lower rates of revascularization [STEMI (43.8% vs. 74.9%); NSTEMI (27.5% vs. 43.6%)] and pharmacotherapies at time of hospital discharge including [aspirin (82.9% vs. 90.2%) and (79.9% vs. 88.0%), β-blockers (73.4% vs. 86.4%) and (65.3% vs. 85.1%)] in the UK compared with Sweden, respectively. Standardized net probability of death (NPD) between admission and 1 month was higher in the UK for STEMI [8.0 (95% confidence interval 7.4-8.5) vs. 6.7 (6.5-6.9)] and NSTEMI [6.8 (6.4-7.2) vs. 4.9 (4.7-5.0)]. Between 6 months and 1 year and more than 1 year, NPD remained higher in the UK for NSTEMI [2.9 (2.5-3.3) vs. 2.3 (2.2-2.5)] and [21.4 (20.0-22.8) vs. 18.3 (17.6-19.0)], but was similar for STEMI [0.7 (0.4-1.0) vs. 0.9 (0.7-1.0)] and [8.4 (6.7-10.1) vs. 8.3 (7.5-9.1)].

CONCLUSION

Short-term mortality following STEMI and NSTEMI was higher in the UK compared with Sweden. Mid- and longer-term mortality remained higher in the UK for NSTEMI but was similar for STEMI. Differences in mortality may be due to differential use of guideline-indicated treatments.

Extreme Atherosclerotic Cardiovascular Disease (ASCVD) Risk Recognition

PURPOSE OF REVIEW

To distinguish extreme and very high atherosclerotic cardiovascular disease (ASCVD) event risk based on prospective epidemiological studies and clinical trial results.

RECENT FINDINGS

Clinical practice guidelines have categorized patients with either a history of one or more "clinical ASCVD" events or "coronary heart disease (CHD) risk equivalency" to be at "very high risk" for a recurrence or a first event, respectively. A 20% or greater 10-year ASCVD risk for a composite 3-point "major" atherosclerotic cardiovascular event (MACE) of non-fatal myocardial infarction (MI), non-fatal stroke, or cardiovascular death can serve as an arbitrary definition of those at "very high risk." Exclusion of stroke may underestimate risk of "hard" endpoint 10-year ASCVD risk and addition of other potential endpoints, e.g., hospital admission for unstable angina or revascularization, a 5-point composite MACE, may overinflate the risk definitions and categorization. "Extreme" risk, a descriptor for even higher morbidity and mortality potential, defines a 30% or greater 10-year 3-point MACE (ASCVD) risk. In prospective, epidemiological studies and randomized clinical trial (RCT) participants with an initial acute coronary syndrome (ACS) within several months of entry into the study meet the inclusion criteria assignment for extreme risk. In survivors beyond the first year of an ASCVD event, "extreme" risk persists when one or more comorbidities are present, including diabetes, heart failure (HF), stage 3 or higher chronic kidney disease (CKD), familial hypercholesterolemia (FH), and poorly controlled major risk factors such as hypertension and persistent tobaccoism. "Extreme" risk particularly applies to those with progressive or multiple clinical ASCVD events in the same artery, same arterial bed, or polyvascular sites, including unstable angina and transient ischemic events. Identifying asymptomatic individuals with extensive subclinical ASCVD at "extreme" risk is a challenge, as risk engine assessment may not be adequate; individuals with genetic FH or those with diabetes and Agatston coronary artery calcification (CAC) scores greater than 1000 exemplify such threatening settings and opportunities for aggressive primary prevention. Heterogeneity exists among individuals at risk for clinical ASCVD events; identifying those at "extreme" risk, a more ominous ASCVD category, associated with greater morbidity and mortality, should prompt the most effective global cardiometabolic risk reduction.

Relative survival and excess mortality following primary percutaneous coronary intervention for ST-elevation myocardial infarction

BACKGROUND:

High survival rates are commonly reported following primary percutaneous coronary intervention for ST-elevation myocardial infarction, with most contemporary studies reporting overall survival.

AIMS:

The aim of this study was to describe survival following primary percutaneous coronary intervention for ST-elevation myocardial infarction corrected for non-cardiovascular deaths by reporting relative survival and investigate clinically significant factors associated with poor long-term outcomes.

METHODS AND RESULTS:

Using the prospective UK Percutaneous Coronary Intervention registry, primary percutaneous coronary intervention cases ( n=88,188; 2005-2013) were matched to mortality data for the UK populace. Crude five-year relative survival was 87.1% for the patients undergoing primary percutaneous coronary intervention and 94.7% for patients <55 years. Increasing age was associated with excess mortality up to four years following primary percutaneous coronary intervention (56-65 years: excess mortality rate ratio 1.61, 95% confidence interval 1.46-1.79; 66-75 years: 2.49, 2.26-2.75; >75 years: 4.69, 4.27-5.16). After four years, there was no excess mortality for ages 56-65 years (excess mortality rate ratio 1.27, 0.95-1.70), but persisting excess mortality for older groups (66-75 years: excess mortality rate ratio 1.72, 1.30-2.27; >75 years: 1.66, 1.15-2.41). Excess mortality was associated with cardiogenic shock (excess mortality rate ratio 6.10, 5.72-6.50), renal failure (2.52, 2.27-2.81), left main stem stenosis (1.67, 1.54-1.81), diabetes (1.58, 1.47-1.69), previous myocardial infarction (1.52, 1.40-1.65) and female sex (1.33, 1.26-1.41); whereas stent deployment (0.46, 0.42-0.50) especially drug eluting stents (0.27, 0.45-0.55), radial access (0.70, 0.63-0.71) and previous percutaneous coronary intervention (0.67, 0.60-0.75) were protective.

CONCLUSIONS:

Following primary percutaneous coronary intervention for ST-elevation myocardial infarction, long-term cardiovascular survival is excellent. Failure to account for non-cardiovascular death may result in an underestimation of the efficacy of primary percutaneous coronary intervention.

Effect of Empagliflozin Versus Placebo on Cardiac Sympathetic Activity in Acute Myocardial Infarction Patients with Type 2 Diabetes Mellitus: Rationale

INTRODUCTION

Protection from lethal ventricular arrhythmias leading to sudden cardiac death is one of the most important problems after myocardial infarction. Cardiac sympathetic hyperactivity is related to poor prognosis and fatal arrhythmias and can be non-invasively assessed with heart rate variability, heart rate turbulence, T-wave alternans, late potentials, and ¹²³I-meta-iodobenzylguanide (¹²³I-MIBG) scintigraphy. Sodium glucose cotransporter 2 (SGLT2) inhibitors potentially reduce sympathetic nervous system activity that is augmented in part due to the stimulatory effect of hyperglycemia. The EMBODY trial is designed to determine whether the suppression of cardiac sympathetic activity induced by the SGLT2 inhibitor is accompanied by protection against adverse cardiovascular outcomes.

METHODS

The EMBODY trial is a prospective, multicenter, randomized, double-blind, placebo-controlled trial in patients with acute MI and type 2 diabetes in Japan. A total of 98 patients will be randomized (1:1) to receive once-daily placebo or empagliflozin, an SGLT2 inhibitor, 10 mg. The primary end point is the change from baseline to 24 weeks in heart rate variability. Secondary end points include the change from baseline for other sudden cardiac death surrogate-markers such as heart rate turbulence, T-wave alternans, late potentials, and ¹²³I-MIBG scintigraphy imaging. Adverse effects will be evaluated throughout the trial period.

PLANNED OUTCOMES

The EMBODY trial will evaluate the potential cardioprotective effect of empagliflozin and will provide additional important new data regarding its preventative effects on sudden cardiac death.

TRIAL REGISTRATION

Unique Trial Number, UMIN000030158 ( https://upload.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000034442 ).

FUNDING

Nippon Boehringer Ingelheim and Eli Lilly and Company.

Identification of biomarkers and mechanisms of diabetic cardiomyopathy using microarray data

BACKGROUND

The study aimed to uncover the regulation mechanisms of diabetic cardiomyopathy (DCM) and provide novel prognostic biomarkers.

METHODS

The dataset GSE62203 downloaded from the Gene Expression Omnibus database was utilized in the present study. After pretreatment using the Affy package, differentially expressed genes (DEGs) were identified by the limma package, followed by functional enrichment analysis and protein- protein interaction (PPI) network analysis. Furthermore, module analysis was conducted using MCODE plug-in of Cytoscape, and functional enrichment analysis was also performed for genes in the modules.

RESULTS

A set of 560 DEGs were screened, mainly enriched in the metabolic process and cell cycle related process. Hub nodes in the PPI network were LDHA (lactate dehydrogenase A), ALDOC (aldolase C, fructose-bisphosphate) and ABCE1 (ATP Binding Cassette Subfamily E Member 1), which were also highlighted in Module 1 or Module 2 and predominantly enriched in the processes of glycolysis and ribosome biogenesis. Additionally, LDHA were linked with ALDOC in the PPI network. Besides, activating transcription factor 4 (ATF4) was prominent in Module 3; while myosin heavy chain 6 (MYH6) was highlighted in Module 4 and was mainly involved in muscle cells related biological processes.

CONCLUSIONS

Five potential biomarkers including LDHA, ALDOC, ABCE1, ATF4 and MYH6 were identified for DCM prognosis.

Multimorbidity and survival for patients with acute myocardial infarction in England and Wales: Latent class analysis of a nationwide population-based cohort

BACKGROUND

There is limited knowledge of the scale and impact of multimorbidity for patients who have had an acute myocardial infarction (AMI). Therefore, this study aimed to determine the extent to which multimorbidity is associated with long-term survival following AMI.

METHODS AND FINDINGS

This national observational study included 693,388 patients (median age 70.7 years, 452,896 [65.5%] male) from the Myocardial Ischaemia National Audit Project (England and Wales) who were admitted with AMI between 1 January 2003 and 30 June 2013. There were 412,809 (59.5%) patients with multimorbidity at the time of admission with AMI, i.e., having at least 1 of the following long-term health conditions: diabetes, chronic obstructive pulmonary disease or asthma, heart failure, renal failure, cerebrovascular disease, peripheral vascular disease, or hypertension. Those with heart failure, renal failure, or cerebrovascular disease had the worst outcomes (39.5 [95% CI 39.0-40.0], 38.2 [27.7-26.8], and 26.6 [25.2-26.4] deaths per 100 person-years, respectively). Latent class analysis revealed 3 multimorbidity phenotype clusters: (1) a high multimorbidity class, with concomitant heart failure, peripheral vascular disease, and hypertension, (2) a medium multimorbidity class, with peripheral vascular disease and hypertension, and (3) a low multimorbidity class. Patients in class 1 were less likely to receive pharmacological therapies compared with class 2 and 3 patients (including aspirin, 83.8% versus 87.3% and 87.2%, respectively; β-blockers, 74.0% versus 80.9% and 81.4%; and statins, 80.6% versus 85.9% and 85.2%). Flexible parametric survival modelling indicated that patients in class 1 and class 2 had a 2.4-fold (95% CI 2.3-2.5) and 1.5-fold (95% CI 1.4-1.5) increased risk of death and a loss in life expectancy of 2.89 and 1.52 years, respectively, compared with those in class 3 over the 8.4-year follow-up period. The study was limited to all-cause mortality due to the lack of available cause-specific mortality data. However, we isolated the disease-specific association with mortality by providing the loss in life expectancy following AMI according to multimorbidity phenotype cluster compared with the general age-, sex-, and year-matched population.

CONCLUSIONS

Multimorbidity among patients with AMI was common, and conferred an accumulative increased risk of death. Three multimorbidity phenotype clusters that were significantly associated with loss in life expectancy were identified and should be a concomitant treatment target to improve cardiovascular outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03037255.

Sex Differences in Treatments, Relative Survival, and Excess Mortality Following Acute Myocardial Infarction: National Cohort Study Using the SWEDEHEART Registry

BACKGROUND

This study assessed sex differences in treatments, all-cause mortality, relative survival, and excess mortality following acute myocardial infarction.

METHODS AND RESULTS

A population-based cohort of all hospitals providing acute myocardial infarction care in Sweden (SWEDEHEART [Swedish Web System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies]) from 2003 to 2013 was included in the analysis. Excess mortality rate ratios (EMRRs), adjusted for clinical characteristics and guideline-indicated treatments after matching by age, sex, and year to background mortality data, were estimated. Although there were no sex differences in all-cause mortality adjusted for age, year of hospitalization, and comorbidities for ST-segment-elevation myocardial infarction (STEMI) and non-STEMI at 1 year (mortality rate ratio: 1.01 [95% confidence interval (CI), 0.96-1.05] and 0.97 [95% CI, 0.95-0.99], respectively) and 5 years (mortality rate ratio: 1.03 [95% CI, 0.99-1.07] and 0.97 [95% CI, 0.95-0.99], respectively), excess mortality was higher among women compared with men for STEMI and non-STEMI at 1 year (EMRR: 1.89 [95% CI, 1.66-2.16] and 1.20 [95% CI, 1.16-1.24], respectively) and 5 years (EMRR: 1.60 [95% CI, 1.48-1.72] and 1.26 [95% CI, 1.21-1.32], respectively). After further adjustment for the use of guideline-indicated treatments, excess mortality among women with non-STEMI was not significant at 1 year (EMRR: 1.01 [95% CI, 0.97-1.04]) and slightly higher at 5 years (EMRR: 1.07 [95% CI, 1.02-1.12]). For STEMI, adjustment for treatments attenuated the excess mortality for women at 1 year (EMRR: 1.43 [95% CI, 1.26-1.62]) and 5 years (EMRR: 1.31 [95% CI, 1.19-1.43]).

CONCLUSIONS

Women with acute myocardial infarction did not have statistically different all-cause mortality, but had higher excess mortality compared with men that was attenuated after adjustment for the use of guideline-indicated treatments. This suggests that improved adherence to guideline recommendations for the treatment of acute myocardial infarction may reduce premature cardiovascular death among women.

CLINICAL TRIAL REGISTRATION

URL: https://www.clinicaltrials.gov. Unique identifier: NCT02952417.

Survival in Type 1 and Type 2 Diabetes in a Population Referred for Invasive Evaluation of Coronary Disease

OBJECTIVES

To evaluate long-term and time trends of survival in patients with a clinical diagnosis of type 1 and type 2 diabetes compared to patients without diabetes in a population referred for invasive treatment of coronary disease.

METHODS

Patients examined for heart disease at the Feiring LHL Clinics from March 1999 until December 2014 were followed for survival until 20 September, 2015. This yielded 43,872 patients with a known survival status including 1,326 (3.0%) patients with type 1 diabetes and 4,564 (10.9%) with type 2 diabetes.

RESULTS

Cox regression revealed a hazard ratio (HR) in type 1 and type 2 diabetes, respectively, of 1.78 (95% confidence interval [CI] 1.60-1.99) and 1.29 (95% CI 1.21-1.37). Comparing survival in the treatment periods before and after 2007, patients without diabetes and with type 2 diabetes had a reduced HR of 0.78 (95% CI 0.72-0.84) and 0.76 (95% CI 0.63-0.91), respectively, but there was no reduction in type 1 diabetes (HR 1.03; 95% CI 0.74-1.42).

CONCLUSIONS

Type 1 and type 2 diabetes have excess long-term mortality. In the nondiabetic and type 2 diabetic patients, a reduction in mortality has been noted in recent years, but has not been observed in type 1 diabetic patients.

Relative Survival After Transcatheter Aortic Valve Implantation: How Do Patients Undergoing Transcatheter Aortic Valve Implantation Fare Relative to the General Population?

BACKGROUND

Transcatheter aortic valve implantation (TAVI) is indicated for patients with aortic stenosis who are intermediate-high surgical risk. Although all-cause mortality rates after TAVI are established, survival attributable to the procedure is unclear because of competing causes of mortality. The aim was to report relative survival (RS) after TAVI, which accounts for background mortality risks in a matched general population.

METHODS AND RESULTS

National cohort data (n=6420) from the 2007 to 2014 UK TAVI registry were matched by age, sex, and year to mortality rates for England and Wales (population, 57.9 million). The Ederer II method related observed patient survival to that expected from the matched general population. We modelled RS using a flexible parametric approach that modelled the log cumulative hazard using restricted cubic splines. RS of the TAVI cohort was 95.4%, 90.2%, and 83.8% at 30 days, 1 year, and 3 years, respectively. By 1-year follow-up, mortality hazards in the >85 years age group were not significantly different from those of the matched general population; by 3 years, survival rates were comparable. The flexible parametric RS model indicated that increasing age was associated with significantly lower excess hazards after the procedure; for example, by 2 years, a 5-year increase in age was associated with 20% lower excess mortality over the general population.

CONCLUSIONS

RS after TAVI was high, and survival rates in those aged >85 years approximated those of a matched general population within 3 years. High rates of RS indicate that patients selected for TAVI tolerate the risks of the procedure well.

Permanent work disability before and after ischaemic heart disease or stroke event: a nationwide population-based cohort study in Sweden

OBJECTIVES

We examined the risk of disability pension before and after ischaemic heart disease (IHD) or stroke event, the burden of stroke compared with IHD and which factors predicted disability pension after either event.

DESIGN

A population-based cohort study with follow-up 5 years before and after the event. Register data were analysed with general linear modelling with binary and Poisson distributions including interaction tests for event type (IHD/stroke).

SETTING AND PARTICIPANTS

All people living in Sweden, aged 25‒60 years at the first event year, who had been living in Sweden for 5 years before the event and had no indication of IHD or stroke prior to the index event in 2006‒2008 were included, except for cases in which death occurred within 30 days of the event. People with both IHD and stroke were excluded, resulting in 18 480 cases of IHD (65%) and 9750 stroke cases (35%).

PRIMARY OUTCOME MEASURES

Disability pension.

RESULTS

Of those going to suffer IHD or stroke event, 25% were already on disability pension a year before the event. The adjusted OR for disability pension at first postevent year was 2.64-fold (95% CI 2.25 to 3.11) for people with stroke compared with IHD. Economic inactivity predicted disability pension regardless of event type (OR=3.40; 95% CI 2.85 to 4.04). Comorbid mental disorder was associated with the greatest risk (OR=3.60; 95% CI 2.69 to 4.83) after an IHD event. Regarding stroke, medical procedure, a proxy for event severity, was the largest contributor (OR=2.27, 95% CI 1.43 to 3.60).

CONCLUSIONS

While IHD event was more common, stroke involved more permanent work disability. Demographic, socioeconomic and comorbidity-related factors were associated with disability pension both before and after the event. The results help occupational and other healthcare professionals to identify vulnerable groups at risk for permanent labour market exclusion after such an event.

Impact of Diabetes Mellitus on Long-Term Mortality in Patients Presenting for Coronary Angiography

To understand the current impact of diabetes mellitus (DM) on long-term outcomes among patients referred for coronary angiography, we studied 14,337 consecutive patients (5,279 diabetic patients [37%]) referred to coronary angiography for assessment or treatment of coronary artery disease. We investigated long-term all-cause mortality and its interaction with hypoglycemic therapy and presenting coronary status. At baseline, patients with DM had more hypertension, hyperlipidemia, and renal failure; more were women, overweight, and more had previous coronary interventions. Mortality was higher in those with DM and was related to treatment status: multivariate adjusted hazard ratio during a median follow-up period of 78 months was 1.41 (95% CI 1.11 to 1.80, p = 0.006) for diet only-treated DM, 1.63 (95% CI 1.51 to 1.77, p <0.001) for DM treated with oral hypoglycemics, and 2.50 (95% CI 2.20 to 2.85, p <0.001) for DM requiring insulin therapy. The earlier findings were similar in magnitude in patients presenting with acute or stable coronary syndromes. In addition, long-term mortality of medically treated DM presenting with a stable coronary syndrome was even higher than that of nondiabetic patients presenting with an acute coronary syndrome (hazard ratio 1.21, 95% CI 1.08 to 1.35, p = 0.001). In conclusion, in patients referred for coronary angiography in the current era, DM remained an independent predictor of long-term mortality regardless of the coronary presentation and mortality increased in direct relation to intensity of hypoglycemic therapy at presentation.

Short term versus long term dual antiplatelet therapy after implantation of drug eluting stent in patients with or without diabetes: systematic review and meta-analysis of individual participant data from randomised trials

OBJECTIVE

 To compare clinical outcomes between short term (up to 6 months) and long term (12 months) dual antiplatelet therapy (DAPT) after placement of a drug eluting stent in patients with and without diabetes.

DESIGN

 Individual participant data meta-analysis. Cox proportional regression models stratified by trial were used to assess the impact of diabetes on outcomes.

DATA SOURCE

 Medline, Embase, and Cochrane databases and proceedings of international meetings searched for randomised controlled trials comparing durations of DAPT after placement of a drug eluting stent. Individual patient data pooled from six DAPT trials.

PRIMARY OUTCOME

 Primary study outcome was one year risk of major adverse cardiac events (MACE), defined as cardiac death, myocardial infarction, or definite/probable stent thrombosis. All analyses were conducted by intention to treat.

RESULTS

 Six trials including 11 473 randomised patients were pooled. Of these patients, 3681 (32.1%) had diabetes and 7708 (67.2%) did not (mean age 63.7 (SD 9.9) and 62.8 (SD 10.1), respectively), and in 84 (0.7%) the information was missing. Diabetes was an independent predictor of MACE (hazard ratio 2.30, 95% confidence interval 1.01 to 5.27; P=0.048 At one year follow-up, long term DAPT was not associated with a decreased risk of MACE compared with short term DAPT in patients with (1.05, 0.62 to 1.76; P=0.86) or without (0.97, 0.67 to 1.39; P=0.85) diabetes (P=0.33 for interaction). The risk of myocardial infarction did not differ between the two DAPT regimens (0.95, 0.58 to 1.54; P=0.82; for those with diabetes and 1.15, 0.68 to 1.94; P=0.60; for those without diabetes (P=0.84 for interaction). There was a lower risk of definite/probable stent thrombosis with long term DAPT among patients with (0.26, 0.09 to 0.80; P=0.02) than without (1.42, 0.68 to 2.98; P=0.35) diabetes, with positive interaction testing (P=0.04 for interaction), although the landmark analysis showed a trend towards benefit in both groups. Long term DAPT was associated with higher rates of major or minor bleeding, irrespective of diabetes (P=0.37 for interaction).

CONCLUSIONS

 Although the presence of diabetes emerged as an independent predictor of MACE after implantation of a drug eluting stent, compared with short term DAPT, long term DAPT did not reduce the risk of MACE but increased the risk of bleeding among patients with stents with and without diabetes.