Recent US Patterns and Predictors of Prevalent Diabetes among Acute Myocardial Infarction Patients

Trends in cardiovascular health metrics and associations with long-term mortality among US adults with coronary heart disease

BACKGROUND AND AIMS

Our study examined the trends of cardiovascular health metrics in individuals with coronary heart disease (CHD) and their associations with all-cause and cardiovascular disease mortality in the US.

METHODS AND RESULTS

The cohort study was conducted based on the National Health and Nutrition Examination Survey 1999-2018 and their linked mortality files (through 2019). Baseline CHD was defined as a composite of self-reported doctor-diagnosed coronary heart disease, myocardial infarction, and angina pectoris. Cardiovascular health metrics were assessed according to the American Heart Association recommendations. Long-term all-cause and cardiovascular disease mortality were the primary outcomes. Survey-adjusted Cox regression models were used to estimate hazard ratios and corresponding 95% confidence intervals for the associations between cardiovascular health metrics and all-cause and cardiovascular disease mortality. The prevalence of one or fewer ideal cardiovascular health metrics increased from 14.15% to 22.79% (P < 0.001) in CHD, while the prevalence of more than four ideal cardiovascular health metrics decreased from 21.65% to 15.70 % (P < 0.001) from 1999 to 2018, respectively. Compared with CHD participants with one or fewer ideal cardiovascular health metrics, those with four or more ideal cardiovascular health metrics had a 35% lower risk (hazard ratio, 0.65; 95% confidence interval: 0.51, 0.82) and a 44% lower risk (0.56; 0.38, 0.84) in all-cause and cardiovascular disease mortality, respectively.

CONCLUSION

Substantial declines were noted in ideal cardiovascular health metrics in US adults with CHD. A higher number of cardiovascular health metrics was associated with lower all-cause and cardiovascular disease mortality in them.

Effects of Prediabetes on Long-term Risk of Developing Cardiac Events in Patients Presenting With Acute Coronary Syndrome

OBJECTIVES

The aim of this work was to identify the long-term risk associated with prediabetes and developing subsequent cardiac events in patients presenting with acute coronary syndrome (ACS) at a tertiary health-care centre.

METHODS

In this retrospective cohort study, we analyzed patients admitted with ACS between January and December 2013. Two hundred thirty patients with prediabetes were matched to a comparison cohort of patients with no diabetes based on age, sex, and diagnosis code of the International Statistical Classification of Diseases and Related Health Problems---10th revision. The primary outcome was incidence of ACS readmission over a 5-year period.

RESULTS

There were 46 (20%) readmissions for ACS in the prediabetes cohort and 33 (14.3%) in the no-diabetes cohort. Univariable conditional logistic regression showed that prediabetes was not a significant risk factor for ACS readmission (odds ratio, 1.481; 95% confidence interval, 0.909 to 2.414; p=0.115). After accounting for other major risk factors for coronary disease, prediabetes was not shown to be a significant risk factor for ACS readmission (odds ratio, 1.333; 95% confidence interval, 0.795 to 2.233; p=0.276).

CONCLUSIONS

Among patients presenting with ACS, prediabetes was not associated with increased risk of readmission for subsequent cardiac events compared with patients with no diabetes after 5 years of follow-up. A longer follow-up duration is needed.

Precise Metabolomics Defines Systemic Metabolic Dysregulation Distinct to Acute Myocardial Infarction Associated With Diabetes

BACKGROUND

Acute myocardial infarction (AMI) is a leading cause of death and disability. Diabetes is an important risk factor and a common comorbidity in AMI patients. The higher mortality risk of diabetes-AMI relative to nondiabetes-AMI indicates a need for specific treatment to improve clinical outcome. However, the global metabolic dysregulation of AMI complicated with diabetes is still unclear. We aim to systematically interrogate changes in the metabolic microenvironment immediate to AMI episodes in the absence or presence of diabetes.

METHODS

In this work, quantitative metabolomics was used to investigate plasma metabolic differences between diabetes-AMI (n=59) and nondiabetes-AMI (n=59) patients. A diverse array of perturbed metabolic pathways involving carbohydrate metabolism, lipid metabolism, glycolysis, tricarboxylic acid cycle, and amino acid metabolism emerged.

RESULTS

In all, our omics-oriented approach defined a metabolic signature of afflicted mitochondrial function aggravated by concurrent diabetes in AMI patients. In particular, our analyses uncovered N-lactoyl-phenylalanine and lysophosphatidylcholines as key functional metabolites that skewed the metabolic picture of diabetes-AMI relative to nondiabetes-AMI. N-lactoyl-phenylalanine was strongly associated with metabolic indicators reflective of mitochondrial overload and negatively correlated with HbA1c (glycosylated hemoglobin, type A1C) specifically in hyperglycemic AMI, suggestive of its central role in glucose utilization and mitochondrial energy production instrumental to the clinical outcome of diabetes-AMI. Reductions in lysophosphatidylcholines, which were negatively correlated with blood glucose and inflammatory markers, might further compromise glucose expenditure and aggravate inflammation leading to poorer prognosis in diabetes-AMI.

CONCLUSIONS

As circulating metabolite levels are amenable to therapeutic intervention, such shifts in metabolic signatures provide new clues and potential therapeutic targets specific to the treatment of diabetes-AMI.

Impact of chronic GLP-1 RA and SGLT-2I therapy on in-hospital outcome of diabetic patients with acute myocardial infarction

BACKGROUND

Glucagon-like peptide-1 receptor agonists (GLP-1 RA) and sodium glucose cotransporter-2 inhibitors (SGLT-2i) demonstrated cardiovascular and renal protection. Whether their benefits occur also during hospitalization for acute myocardial infarction (AMI) in patients with diabetes mellitus (DM) is not known. We evaluated in-hospital outcomes of patients hospitalized with AMI according to their chronic use of GLP-1 RA and/or SGLT-2i.

METHODS

Using the health administrative databases of Lombardy, patients hospitalized with AMI from 2010 to 2019 were included. They were stratified according to DM status, then grouped into three cohorts using a propensity score matching: non-DM patients; DM patients treated with GLP-1 RA and/or SGLT-2i; DM patients not treated with GLP-1 RA/SGLT-2i. The primary endpoint of the study was the composite of in-hospital mortality, acute heart failure, and acute kidney injury requiring renal replacement therapy.

RESULTS

We identified 146,798 patients hospitalized with AMI (mean age 71 ± 13 years, 34% females, 47% STEMI; 26% with DM). After matching, 3,090 AMI patients (1030 in each group) were included in the analysis. Overall, the primary endpoint rate was 16% (n = 502) and progressively increased from non-DM patients to DM patients treated with and without GLP-1 RA/SGLT-2i (13%, 16%, and 20%, respectively; P < 0.0001). Compared with non-DM patients, DM patients with GLP-1 RA/SGLT-2i had a 30% higher risk of the primary endpoint, while those not treated with GLP-1 RA/SGLT-2i had a 60% higher risk (P < 0.0001).

CONCLUSION

Chronic therapy with GLP-1 RA and/or SGLT-2i has a favorable impact on the clinical outcome of DM patients hospitalized with AMI.

Can the in-hospital mortality gap between STEMI patients with and without diabetes mellitus be reduced? The cardio-renal hypothesis

BACKGROUND AND AIMS

Diabetes mellitus (DM) is a frequent comorbidity in ST-elevation-myocardial infarction (STEMI) patients and carries a higher risk of in-hospital mortality. We recently demonstrated that the higher in-hospital mortality of STEMI patients with DM, when compared to that of patients without DM, is mainly associated with their more frequent cardiac and renal dysfunction. These exploratory results prompted us to hypothesize that this higher risk in DM patients is mediated by their lower cardio-renal functional reserve.

METHODS AND RESULTS

We included 5152 STEMI patients treated with primary angioplasty. By using an advanced statistical methodology (path analysis), able to clarify the putative causal paths between variables of interest, we reported that the higher in-hospital mortality of STEMI patients with DM is possibly caused by its adverse impact on cardio-renal function.

CONCLUSION

This statistical approach allows to reinforce the well-known notion that DM is associated with an increased in-hospital mortality risk in STEMI and sheds lights on the causal relationship among DM, cardio-renal dysfunction, and higher in-hospital mortality. Whether the mortality gap between DM and non-DM patients with STEMI can be reduced by pharmacological strategies combining cardio-renal protective effects is an intriguing question that deserves an answer in the future.

Glycemic indices of dates "Ramadan Symbolic Food" in patients with type 2 diabetes using continuous glucose monitoring system

AIM

The high consumption of dates during Ramadan raises the question about its glycemic index (GI) and its effect on the glycemic control in patients with type 2 diabetes (T2DM). We aimed to determine the GI of varieties of meals containing dates in healthy subjects compared to patients with T2DM and the effect of dates on the postprandial glucose excursions using continuous glucose monitoring system (CGMS).

METHOD AND RESULTS

Twenty patients with T2DM and twenty healthy subjects matched for age, sex and body weight participated. Testing was applied on separate days (on 3 occasions) with 50 g of glucose and 50 g equivalent of available carbohydrates from 9 date meals. The GI was calculated as ratios of the incremental areas under the response curves for dates in comparison to glucose. Minimed-530 g-diabetes-system-with-enlite was used for continuous glucose monitoring. There was no significant difference between the mean GI of dates between both study groups. However, there was a significant difference according to the time of peak blood glucose among varieties of meals containing dates in T2DM.

CONCLUSION

Studied varieties of dates have low GI. CGMS valued beyond GI calculation to study the postprandial glucose excursions among patients with T2DM.

Diabetes Mellitus and Acute Myocardial Infarction: Impact on Short and Long-Term Mortality

Diabetes mellitus (DM) is an important risk factor for acute myocardial infarction (AMI) and a frequent co-morbidity in patients hospitalized with AMI, being present in about 30% of cases. Although current treatment of AMI has considerably improved survival in both patients with and without DM, the presence of DM still doubles the case fatality rate during both the acute phase of AMI and at long-term follow-up. This higher mortality risk of DM patients strongly indicates a particular need for better treatment options in these patients and suggests that intensive medical treatment, prolonged surveillance, and stringent control of other risk factors should be carefully pursued and maintained for as long as possible in them.In this review, we will focus on the close association between DM and in-hospital and long-term mortality in AMI patients. We will also aim at providing current evidence on the mechanisms underlying this association and on emerging therapeutic strategies, which may reduce the traditional mortality gap that still differentiates AMI patients with DM from those without.

Efficacy and Safety of Zofenopril Versus Ramipril in the Treatment of Myocardial Infarction and Heart Failure: A Review of the Published and Unpublished Data of the Randomized Double-Blind SMILE-4 Study

Zofenopril is a lipophilic, sulfhydryl group-containing angiotensin-converting enzyme (ACE)-inhibitor, characterized by wide tissue distribution, long duration of action, and pleiotropic effects on endothelial dysfunction. Its clinical efficacy and safety have been described in the four randomized controlled trials of the SMILE program, which globally enrolled more than 3600 patients in post-acute myocardial infarction (AMI) setting. The SMILE-4 study specifically selected patients with left ventricular dysfunction at admission, and compared the effects of zofenopril or ramipril in combination with acetylsalicylic acid (ASA). Zofenopril demonstrated its superiority over ramipril in reducing the combined occurrence of death or hospitalization for cardiovascular causes both in the overall population included in the original study and in subgroups of patients at highest risk, namely hypertensive and diabetic subjects. The effects of the early treatment with zofenopril were sustained over time, and, after 5 years of follow-up, zofenopril increased the survival likelihood and reduced the hospitalization rate. Compared to ramipril, zofenopril was cost-effective with a number to treat of 13 and an incremental cost-effectiveness ratio (ICER) of 2125.45 euros for any additional event prevented. Furthermore, in real-world settings, zofenopril decreased the risk of death in patients with heart failure, particularly in men, and in subjects older than 76 years or with ejection fraction lower than 54%. These results support the early use of zofenopril immediately after AMI, even in the presence of comorbidities, and its maintenance over time to reduce the risk of heart failure.

FUNDING

Menarini International Operations Luxembourg S.A.

Links between the Prophet Muhammad (PBUH) recommended foods and disease management: A review in the light of modern superfoods

Nutrition and other bioactive natural products present in specific foods within a balanced diet play an indispensable role in maintaining and promoting human health. Plants are rich sources of a balanced nutrition because of high content of bioactive products; hence, most of them recently have acquired the status of superfoods. It has been used since ancient times for the treatment of various ailments, and these traditional medicines still remain as one of the most affordable and easily accessible sources of treatment in the primary health-care system. The scientifically based use of these superfoods date back to the era of Prophet Muhammad along with other historical uses of plant products. Prescription of a large number of herbal foods such as dates, pomegranate, olives, figs, grapes, and black seeds was successfully proposed by him. These recently have become superfoods with their powerful healing properties and act as favorable dietary interventions for disease prevention as well as for the good maintenance of health. The use of these foods as ingredients of natural origin with fewer side effects seems to be more favorable than the chemical treatment, which is often complicated. The present review is an attempt to provide a brief survey of the literature on scientifically based significance of these superfoods carried out by various researchers and exploration of a wide spectrum of their pharmacological actions which include antidiabetic, anticancer, immune modulator, analgesic, anti-inflammatory, and hepatoprotective properties.

Family history and body mass index predict perceived risks of diabetes and heart attack among community-dwelling Caucasian, Filipino, Korean, and Latino Americans--DiLH Survey

AIM

The purpose of the study was to explore the perceived risk for diabetes and heart attack and associated health status of Caucasian, Filipino, Korean, and Latino Americans without diabetes.

METHODS

A cross-sectional survey was conducted with 904 urban adults (mean age 44.3±16.1 years; 64.3% female) in English, Spanish or Korean between August and December 2013.

RESULTS

Perceived risk for developing diabetes was indicated by 46.5% (n=421), and 14.3% (n=129) perceived themselves to be at risk for having a heart attack in their lifetime. Significant predictors of pessimistic diabetes risk perceptions: Filipino (adjusted odds ratio [AOR]=1.7; 95% CI: 1.04-2.86) and Korean (AOR=2.4; 1.33-4.48) ethnicity, family history of diabetes (AOR=1.4; 1.00-1.84), female gender (AOR=1.4; 1.04-1.96), high cholesterol (AOR= 1.6; 1.09-2.37) and higher body mass index (BMI) (AOR=1.1; 1.08-1.15). Predictors of pessimistic heart attack risk perceptions were family history of an early heart attack (AOR=2.9; 1.69-5.02), high blood pressure (AOR=2.4; 1.45-3.84), and higher BMI (AOR=1.1; 1.04-1.12) after controlling for socio-demographic factors. Older age, physical inactivity, smoking, and low HDL levels were not associated with risk perceptions.

CONCLUSION

Multiple risk factors were predictive of greater perceived diabetes risk, whereas, only family history of heart attack, high blood pressure and increases in BMI significantly contributed to perceived risk of heart attack among ethnically diverse at risk middle-aged adults. It is important that healthcare providers address the discordance between an individual's risk perceptions and the presence of actual risk factors.

Contemporary treatment strategies for Type 2 diabetes-related macrovascular disease

Type 2 diabetes mellitus poses a major challenge to healthcare providers in the coming years as its prevalence increases across the globe. The disease doubles the risk of cardiovascular morbidity and mortality, with 70% of sufferers dying from a cardiac cause. Large clinical trials of current glucose-lowering therapies for Type 2 diabetes have shown no benefit in reducing the risk of macrovascular events. Blood pressure control, angiotensin-converting enzyme inhibitor therapy and improvement of dyslipidemia with statins have proven benefit in reducing cardiovascular risk in Type 2 diabetes. A growing understanding of the importance of pathological processes including endothelial dysfunction, abnormal growth factor biology, oxidative stress, dysregulation of adipokines and deficient vascular repair and regeneration in insulin-resistant states promises new treatments to combat the problem.

Impact of type 2 diabetes mellitus on hospitalization costs in older patients with acute myocardial infarction

Background

The purpose of this study was to evaluate the impact of type 2 diabetes mellitus on hospitalization costs in older patients with acute myocardial infarction (MI).

Methods

Retrospective analysis of data from the case retrieval system of Qilu Hospital of Shandong University located in Jinan city of Shandong Province was done for patients with acute MI from January 1, 2011 to December 31, 2012.

Results

Stenting was an important factor affecting older patients’ total hospitalization costs (β=0.685, P=0.000) and treatment costs during the follow-up period (duration of hospital stay only, β=0.508, P=0.000). Stenting was also a protective factor in the prevention of acute heart failure (HF) in older patients with acute MI during the follow-up period (odds ratio 0.189, 95% confidence interval 0.059–0.602, P=0.005). Implementation of percutaneous coronary intervention reduced the incidence of acute HF in older inpatients with acute MI (27.8% versus 4.3%, P=0.001) and without diabetes (18.2% versus 3.8%, P=0.001). Moreover, among the elderly, the incremental cost-effectiveness ratio estimate for implementing percutaneous coronary intervention in diabetic patients was higher than in nondiabetic patients.

Conclusion

Stenting was a protective factor for preventing acute HF in the elderly during the follow-up period. From the perspective of reducing the incidence of acute HF in inpatients, implementation of percutaneous coronary intervention after an acute MI is more cost-effective in older patients with diabetes mellitus than in those without it.

Temporal trends in clinical characteristics of patients without known cardiovascular disease with a first episode of myocardial infarction

BACKGROUND

Recent initiatives have focused on primary prevention to delay time to first myocardial infarction (MI). The aim of this study was to evaluate the change in risk factor profile over time in patients without known cardiovascular disease presenting with first MI.

METHODS

In the American Heart Association's Get With The Guidelines-Coronary Artery Disease national registry, 100,884 patients without known cardiovascular disease presenting with acute MI from 408 hospitals were evaluated between 2002 and 2008. The time trends of the proportion of patients with cardiovascular risk factors (nonmodifiable: age >45 years for men or >55 years for women, male sex, modifiable: diabetes mellitus, hypertension, hyperlipidemia, tobacco use) were analyzed. Analyses were stratified by non-ST-segment elevation MI (NSTEMI) versus ST-segment elevation MI (STEMI).

RESULTS

The proportion of patients with ≥3 of 6 traditional risk factors slightly decreased over time in the NSTEMI (69.5%-66.8%, P < .0001) and STEMI (68.9%-66.4%, P < .0001) cohorts. The proportion of patients with ≥2 of 4 modifiable risk factors increased from 52% to 59% and then declined to 52.1% (P < .0001) in the NSTEMI cohort but declined slightly in the STEMI cohort (50.9%-47.3%, P < .0001). After adjusting for age and gender, the time trend of proportion with diabetes mellitus, hypertension, and tobacco use declined in both cohorts. However, the proportion of patients with hyperlipidemia remained similar.

CONCLUSIONS

Although risk factor profiles in patients presenting with first MI have shown improvements over time, the changes are modest.

Predictive performance of comorbidity measures in administrative databases for diabetes cohorts

BACKGROUND

The performance of comorbidity measures for predicting mortality in chronic disease populations and using ICD-9 diagnosis codes in administrative health data has been investigated in several studies, but less is known about predictive performance with ICD-10 data and for other health outcomes. This study investigated predictive performance of five comorbidity measures for population-based diabetes cohorts in administrative data. The objectives were to evaluate performance for: (a) disease-specific and general health outcomes, (b) data based on the ICD-9 and ICD-10 diagnoses, and (c) different age groups.

METHODS

Performance was investigated for heart attack, stroke, amputation, renal disease, hospitalization, and death in all-age and age-specific cohorts. Hospital records, physician billing claims, and prescription drug records from one Canadian province were used to identify diabetes cohorts and measure comorbidity. The data were analysed using multiple logistic regression models and summarized using measures of discrimination, accuracy, and fit.

RESULTS

In Cohort 1 (n = 29,058), for which only ICD-9 diagnoses were recorded in administrative data, the Elixhauser index showed good or excellent prediction for amputation, renal disease, and death and performed better than the Charlson index. Number of diagnoses was a good predictor of hospitalization. Similar results were obtained for Cohort 2 (n = 41,925), in which both ICD-9 and ICD-10 diagnoses were recorded in administrative data, although predictive performance was sometimes higher. For age-specific models of mortality, the Elixhauser index resulted in the largest improvement in predictive performance in all but the youngest age group.

CONCLUSIONS

Cohort age and the health outcome under investigation, but not the diagnosis coding system, may influence the predictive performance of comorbidity measure for studies about diabetes populations using administrative health data.