Risk Factors and Trends in Incidence of Heart Failure Following Acute Myocardial Infarction

Loss of peptidylarginine deiminase 4 mitigates maladaptive cardiac remodeling after myocardial infarction through inhibition of inflammatory and profibrotic pathways

Inflammation and progressive fibrosis represent predictive risk factors for heart failure (HF) development following myocardial infarction (MI). Peptidylargininine deiminase 4 (PAD4) catalyzes the citrullination of arginine residues in polypeptides and has recently been identified as a contributor to HF pathogenesis. This study aimed to evaluate the role of PAD4 in monocytes / macrophages (Mo/Mφ) and cardiac fibroblasts (CFs) for cardiac repair following MI and HF progression. Cardiac Padi4 expression significantly increased in mice subjected to MI by permanent coronary artery ligation as well as in humans who died from MI. Transcriptome analysis revealed marked downregulation of inflammation-related genes in infarcted hearts and cardiac Mo/Mφ from global PAD4 knockout (PAD4-/-) mice on day 7 post-MI accompanied by increased frequency of reparative CD206+ macrophages. Mechanistically, pharmacological and genetic PAD4 inhibition abrogated nuclear NF-κB translocation and inflammatory gene expression in bone marrow-derived macrophages (BMDM). Simultaneously, reduced inflammation and diminished cardiac levels of transforming growth factor-β (TGF-β) along with impaired IL-6 / TGF-β signaling in PAD4-/- CFs were associated with decreased expression of fibrotic genes, reduced collagen deposition, improved cardiac function, and enhanced 28-day survival in PAD4-/- mice. Strikingly, whereas pharmacological PAD inhibition in the acute phase after MI exacerbated cardiac damage, treatment starting on day 7 ameliorated cardiac remodeling and improved long-term survival in mice. Collectively, we here identified PAD4 as a critical regulator of inflammatory genes in Mo/Mφ and of profibrotic pathways in CFs. Thus, therapeutic approaches directed against PAD4 are promising interventions to alleviate adverse cardiac remodeling and subsequent HF development.

Obesity is associated with impaired long-term prognosis in patients undergoing coronary angiography: Results from a large-scaled single centre registry

BACKGROUND

The study investigates the prognostic value of body mass index (BMI) in a large cohort of unselected patients undergoing invasive coronary angiography (CA). More than one third of the world population is overweight or obese with increasing prevalence. Obesity is an established risk factor for the development of coronary artery disease (CAD), but its impact on outcomes in patients undergoing CA remains controversial.

METHODS

Consecutive patients undergoing invasive CA were included at one institution from 2016 to 2022. Patients were stratified by BMI on admission according to the current WHO definition into the following subgroups: BMI 18.5- < 25 kg/m2, 25- < 30 kg/m2, 30- < 35 kg/m2 and ≥ 35 kg/m2. The prognostic value of BMI was investigated with regard to the primary endpoint rehospitalization for heart failure (HF) at 36 months and the secondary endpoints acute myocardial infarction (AMI) and coronary revascularization at 36 months.

RESULTS

From 2016 to 2022, 6583 patients undergoing CA were included with a median BMI of 27.5 kg/m2 (mean: 28.3 kg/m2). Patients with a BMI of 25- < 30 kg/m2 had the highest prevalence of CAD (71.1 %) and 3-vessel CAD (30.5 %), whereas patients with a BMI ≥ 35 kg/m2 had the lowest prevalence (61.4 % and 20.1 %, respectively). After multivariable adjustment, patients with a BMI ≥ 35 kg/m2 had the highest risk of HF-related rehospitalization at 36 months compared to those with a BMI in the normal range (adjusted HR = 1.210; 95 % CI: 1.011-1.448; p = 0.038).

CONCLUSION

In patients undergoing CA, a BMI ≥35 kg/m2 was associated with the highest risk of HF-related rehospitalization at 36 months.

Age-Related Outcomes in Patients Undergoing Coronary Angiography: In Which Subgroups Does Age Matter? Results from a Large-Scale Retrospective Registry

Background: The study investigates age-related differences in the prevalence and extent of coronary artery disease (CAD), as well as long-term outcomes in a large cohort of unselected patients undergoing invasive coronary angiography (CA). The aging population, along with an increasing number of older and multi-morbid patients undergoing CA, poses challenges for healthcare systems. Despite this, studies investigating age-related differences in the long-term outcomes of unselected patients undergoing CA are limited. Methods: Consecutive patients undergoing invasive CA from 2016 to 2022 were included from one institution. The prognosis of patients undergoing CA stratified by pre-specified age groups (i.e., 40-<60, 60-<80 and ≥80 years) was investigated with regard to the primary endpoint of rehospitalization for heart failure (HF), as well as the risks of acute myocardial infarction (AMI) and coronary revascularization at 36 months. Results: From 2016 to 2022, 7520 patients undergoing CA were included with a median age of 70 years (mean: 69 years). The prevalence of CAD (61.9% vs. 71.8% vs. 77.3%; p = 0.001), as well as the prevalence of three-vessel CAD (21.0% vs. 31.5% vs. 36.1%) increased with age. At 36 months, patients ≥ 80 years of age had the highest rates of rehospitalization for HF, followed by patients 60-<80 years and patients 40-<60 years (28.4% vs. 23.2% vs. 14.0%; p = 0.001). Consequently, compared to younger patients (i.e., 40-<60 years of age), those ≥80 years of age exhibited the highest risk of HF-related rehospitalization (≥ 80 years: HR = 2.205; 95% CI 1.884-2.579; p = 0.001), followed by those 60-< 80 years (HR = 1.765; 95% CI 1.536-2.029; p = 0.001). The increased risk of rehospitalization for HF at 36 months was still observed after multivariable adjustment (i.e., ≥80 years: HR = 1.265; 95% CI 1.049-1.524; p = 0.014; 60-<80 years: HR = 1.339; 95% CI 1.145-1.565; p = 0.001) and was specifically evident in patients with left ventricular ejection fraction ≥ 35% and in patients without evidence of CAD/single-vessel CAD. In contrast, the rates of AMI and coronary revascularization at 36 months did not differ significantly among different age groups. Conclusions: Advanced age is an independent predictor of rehospitalization for HF in patients undergoing CA, but not AMI and revascularization during long-term follow-up. This highlights the importance of optimizing diagnostic and therapeutic strategies for HF, particularly in older patients undergoing CA.

Factors Associated With the Development of Heart Failure Following Acute Coronary Syndrome: A Systematic Review and Meta-Analysis

Acute coronary syndrome (ACS) remains a major global health burden, encompassing a spectrum of conditions from unstable angina to acute myocardial infarction. Despite advancements in early detection and management, ACS is often complicated by the development of heart failure. This systematic review and meta-analysis aimed to identify factors associated with the development of heart failure following acute coronary syndrome. A comprehensive search was conducted across PubMed, Embase, Cochrane Library, and Web of Science from January 2018 to November 2024. Studies evaluating clinical or biochemical predictors of heart failure development in adult patients with acute coronary syndrome were included. Out of the initially identified studies, nine studies met the inclusion criteria. The Newcastle-Ottawa Scale was used to assess the quality of included studies, with most studies demonstrating high quality. The pooled analysis revealed that older age, female sex, diabetes, hypertension, chronic obstructive pulmonary disease, atrial fibrillation, multivessel coronary disease, and reduced left ventricular ejection fraction were significant predictors of heart failure development following acute coronary syndrome. The presence of atrial fibrillation emerged as the strongest predictor, followed by reduced left ventricular ejection fraction and chronic obstructive pulmonary disease. While complete revascularization showed a protective trend, this association did not reach statistical significance. The findings were limited by the predominantly retrospective nature of included studies and heterogeneity in the assessment of certain risk factors. Future research should focus on prospective studies with larger cohorts and comprehensive evaluation of additional factors such as treatment delays and revascularization strategies. Understanding these predictors can facilitate early risk stratification and guide targeted interventions, potentially improving outcomes for patients with acute coronary syndrome.

Sodium-Glucose Cotransporter-2 Inhibitors in Patients With Acute Coronary Syndrome: A Modern Cinderella?

PURPOSE

Atherosclerotic cardiovascular disease remains a prominent global cause of mortality, with coronary artery disease representing its most prevalent manifestation. Recently, a novel class of antidiabetic medication, namely sodium-glucose cotransporter-2 (SGLT2) inhibitors, has been reported to have remarkable cardiorenal advantages for individuals with type 2 diabetes mellitus (DM), and they may reduce cardiorenal risk even in individuals without pre-existing DM. Currently, there is no evidence regarding the safety and efficacy of these drugs in acute coronary syndrome (ACS), regardless of diabetes status. This review aims to comprehensively present the available preclinical and clinical evidence regarding the potential role of SGLT2 inhibitors in the context of ACS, as adjuncts to standard-of-care treatment for this patient population, while also discussing potential short- and long-term cardiovascular benefits.

METHODS

A literature search was performed through MEDLINE (via PubMed), Cochrane Central Register of Controlled Trials, and Scopus until February 26, 2024. Eligible were preclinical and clinical studies, comprising randomized controlled trials (RCTs), real-world studies, and meta-analyses.

FINDINGS

Evidence from preclinical models indicates that the use of SGLT2 inhibitors is associated with a blunted ischemia-reperfusion injury and decreased myocardial infarct size, particularly after prior treatment. Although RCTs and real-world data hint at a potential benefit in acute ischemic settings, showing improvements in left ventricular systolic and diastolic function, decongestion, and various cardiometabolic parameters such as glycemia,body weight, and blood pressure, the recently published DAPA-MI (Dapagliflozin in Myocardial Infarction without Diabetes or Heart Failure) trial did not establish a clear advantage regarding surrogate cardiovascular end points of interest. SGLT2 inhibitors appear to provide a benefit in reducing contrast-induced acute kidney injury events in patients with ACS undergoing percutaneous coronary intervention. However, data on other safety concerns, such as treatment discontinuation because of hypotension, hypovolemia, or ketoacidosis, are currently limited.

IMPLICATIONS

Despite the well-established cardiovascular benefits observed in the general population with type 2 DM and, more recently, in other patient groups irrespective of diabetes status, existing evidence does not support the use of SGLT2 inhibitors in the context of ACS. Definitive answers to this intriguing research question, which could potentially expand the therapeutic indications of this novel drug class, require large-scale, well-designed RCTs.

Long-term effects of air quality on hospital readmission for heart failure in patients with acute myocardial infarction

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of death worldwide, with air pollution posing significant risks to cardiovascular health. The effect of air quality on heart failure (HF) readmission in acute myocardial infarction (AMI) patients is unclear.The aim of this study was to evaluate the role of a single measure of air pollution exposure collected on the day of first hospitalization.

METHODS

We retrospectively analyzed data from 12,857 acute coronary syndrome (ACS) patients (January 2015-March 2023). After multiple screenings, 4023 AMI patients were included. The air pollution data is updated by the automatic monitoring data of the national urban air quality monitoring stations in real time and synchronized to the China Environmental Monitoring Station. Cox proportional hazards regression assessed the impact of air quality indicators on admission and outcomes in 4013 AMI patients. A decision tree model identified the most susceptible groups.

RESULTS

After adjusting for confounders, NO2 (HR 1.009, 95% CI 1.004-1.015, P = 0.00066) and PM10 (HR 1.006, 95% CI 1.002-1.011, P = 0.00751) increased the risk of HF readmission in ST-segment elevation myocardial infarction (STEMI) patients. No significant effect was observed in non-STEMI (NSTEMI) patients (P > 0.05). STEMI patients had a 2.8-fold higher risk of HF readmission with NO2 > 13 μg/m3 (HR 2.857, 95% CI 1.439-5.670, P = 0.00269) and a 1.65-fold higher risk with PM10 > 55 μg/m3 (HR 1.654, 95% CI 1.124-2.434, P = 0.01064).

CONCLUSION

NO2 and PM10 are linked to increased HF readmission risk in STEMI patients, particularly when NO2 exceeds 13 μg/m3 and PM10 exceeds 55 μg/m3. Younger, less symptomatic male STEMI patients with fewer underlying conditions are more vulnerable to these pollutants.

[Classification tree obtained by artificial intelligence for the prediction of heart failure after acute coronary syndromes]

BACKGROUND

Coronary heart disease is the leading cause of heart failure (HF), and tools are needed to identify patients with a higher probability of developing HF after an acute coronary syndrome (ACS). Artificial intelligence (AI) has proven to be useful in identifying variables related to the development of cardiovascular complications.

METHODS

We included all consecutive patients discharged after ACS in two Spanish centers between 2006 and 2017. Clinical data were collected and patients were followed up for a median of 53months. Decision tree models were created by the model-based recursive partitioning algorithm.

RESULTS

The cohort consisted of 7,097 patients with a median follow-up of 53months (interquartile range: 18-77). The readmission rate for HF was 13.6% (964 patients). Eight relevant variables were identified to predict HF hospitalization time: HF at index hospitalization, diabetes, atrial fibrillation, glomerular filtration rate, age, Charlson index, hemoglobin, and left ventricular ejection fraction. The decision tree model provided 15 clinical risk patterns with significantly different HF readmission rates.

CONCLUSIONS

The decision tree model, obtained by AI, identified 8 leading variables capable of predicting HF and generated 15 differentiated clinical patterns with respect to the probability of being hospitalized for HF. An electronic application was created and made available for free.

Impact of Sex in the Incidence of Heart Failure in Patients with Chronic Coronary Syndrome

PURPOSE OF REVIEW

This review examines the available evidence concerning the incidence of heart failure in patients with chronic coronary syndrome, with a focus on gender differences.

RECENT FINDINGS

The incidence of heart failure in the context of chronic coronary syndrome presents conflicting data. Most of the available information stems from studies involving stable patients' post-acute coronary syndrome, revealing a wide range of incidence rates, from less than 3% to over 20%, observed over 5 years of follow-up. Regarding the gender differences in heart failure incidence, there is no consensus about whether women exhibit a higher incidence, particularly in the presence of evidence of obstructive coronary artery disease. However, in cases where obstructive coronary artery disease is absent, women may face a more unfavourable prognosis due to a higher prevalence of microvascular disease and heart failure with preserved ventricular function. The different profile of ischaemic heart disease in women difficult to establish differences in prognosis independently associated with female sex. Targeted investigations are essential to discern the incidence of heart failure in chronic coronary syndrome and explore potential gender-specific associations.

Predictive value of initial Lp-PLA2, NT-proBNP, and peripheral blood-related ratios for heart failure after early onset infarction in patients with acute myocardial infarction

OBJECTIVE

To analyze the predictive value of lipoprotein-associated phospholipase A2 (Lp-PLA2), N-terminal prohormone of brain natriuretic peptide (NT-proBNP), and peripheral blood-related ratios at the initial diagnosis for heart failure (HF) after early-onset infarction in patients with acute myocardial infarction (AMI).

METHODS

This retrospective analysis included 151 patients first diagnosed with AMI at Xianyang Central Hospital from February 2020 to February 2023. Patients were classified into two groups: those who developed HF during hospitalization (HF group, n=45) and those who did not (non-HF group, NHF, n=106). Differences in Lp-PLA2, NT-proBNP, and peripheral blood ratios at initial diagnosis were compared between the groups. Binary logistic regression was used to identify independent risk factors for HF, and a nomogram model was developed based on these factors.

RESULTS

HR (P=0.032), C-reactive protein (CRP) (P<0.001), alanine aminotransferase (ALT) (P=0.015), coronary artery lesion score (CALDS) (P<0.001), D-dimer (D-D) (P=0.021), neutrophil-to-lymphocyte ratio (NLR) (P<0.001), Lp-PLA2 (P<0.001), and NT-proBNP (P<0.001) were significantly higher in the HF group than in the NHF group. Left ventricular end-systolic diameter (LVESD) (P<0.001) and left ventricular end-diastolic diameter (LVEDD) (P<0.001) were significantly lower in the HF group. Multifactorial logistic regression identified HR (P=0.034), CRP (P=0.028), CALDS (P=0.007), NLR (P=0.001), Lp-PLA2 (P=0.001), and NT-proBNP (P=0.002) as independent predictors of HF. The AUCs for NLR, Lp-PLA2, and NT-proBNP were 0.806, 0.849, and 0.780, respectively. The nomogram model achieved an AUC of 0.964, significantly outperforming individual indicators per Delong's test, highlighting its superior predictive efficacy.

CONCLUSION

HR, CRP, CALDS, NLR, Lp-PLA2, and NT-proBNP were identified as independent predictors of HR post-AMI myocardial infarction. The constructed nomogram model provides an effective tool for early clinical identification of high-risk patients, potentially improving prognosis and guiding therapeutic strategies.

Effectiveness of Sodium-Glucose Cotransporter 2 Inhibitors in Patients With Acute Myocardial Infarction With or Without Type 2 Diabetes: A Systematic Review and Meta-analysis

ABSTRACT

Recent studies have revealed the benefits of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in heart failure patients. However, their effects on acute myocardial infarction (AMI) remain uncertain. Therefore, we conducted this meta-analysis to assess the effectiveness of SGLT2i in patients with AMI with or without diabetes. We conducted a comprehensive search of PubMed, Embase, and Cochrane Library encompassing data from inception until November 30, 2023. Relevant studies comparing SGLT2i with placebo or non-SGLT2i in patients with AMI were included. The mean difference and/or odds ratio (OR) with 95% confidence intervals were pooled using a fixed-effects model when the heterogeneity statistic (I2) was less than 50%; otherwise, a random-effects model was employed. Four randomized controlled trials and 4 observational studies involving 9397 patients with AMI were included in this meta-analysis. Patients treated with SGLT2i exhibited a significantly lower rate of hospitalization for heart failure (OR = 0.50, 95% CI: 0.32-0.80) and all-cause death (OR = 0.65, 95% CI: 0.44-0.95) compared with those treated with placebo or non-SGLT2i. Furthermore, the use of SGLT2i was associated with a significant increase in left ventricular ejection fraction (mean difference = 1.90, 95% CI: 1.62-2.17) and a greater reduction of N-terminal prohormone of brain natriuretic peptide (OR = 0.88, 95% CI 0.82-0.94). Subgroup analysis revealed that in patients with diabetes, SGLT2i exhibited similar effects. The present meta-analysis provided evidence indicating the effectiveness of SGLT2i in patients with AMI; SGLT2i may serve as an additional therapeutic option for patients with AMI, regardless of the presence or absence of diabetes.

Unplanned Rehospitalisation due to Medication Harm following an Acute Myocardial Infarction

INTRODUCTION

The contribution of medication harm to rehospitalisation and adverse patient outcomes after an acute myocardial infarction (AMI) needs exploration. Rehospitalisation is costly to both patients and the healthcare facility. Following an AMI, patients are at risk of medication harm as they are often older and have multiple comorbidities and polypharmacy. This study aimed to quantify and evaluate medication harm causing unplanned rehospitalisation after an AMI.

METHODS

This was a retrospective cohort study of patients discharged from a quaternary hospital post-AMI. All rehospitalisations within 18 months were identified using medical record review and coding data. The primary outcome measure was medication harm rehospitalisation. Preventability, causality, and severity assessments of medication harm were conducted.

RESULTS

A total of 1,564 patients experienced an AMI, and 415 (26.5%) were rehospitalised. Eighty-nine patients (5.7% of total population; 6.0% of those discharged) experienced a total of 101 medication harm events. Those with medication harm were older (p = 0.007) and had higher rates of heart failure (p = 0.005), chronic kidney disease (p = 0.046), chronic obstructive pulmonary disease (p = 0.037), and a prior history of ischaemic heart disease (p = 0.005). Gastrointestinal bleeding, acute kidney injury, and hypotension were the most common medication harm events. Forty percent of events were avoidable, and 84% were classed as "serious." Furosemide, antiplatelets, and angiotensin-converting enzyme inhibitors were the most commonly implicated medications. The median time to medication harm rehospitalisation was 79 days (interquartile range: 16-200 days).

CONCLUSION

Medication harm causes unplanned rehospitalisation in 5.7% of all AMI patients (1 in 17 patients; 6.0% of those discharged). The majority of harm was serious and occurred within the first 200 days of discharge. This study highlights that measures to attenuate the risk of medication harm rehospitalisation are essential, including post-discharge medication management.

The Effectiveness of Sodium-Glucose Cotransporter-2 (SGLT2) Inhibitors on Cardiovascular Outcomes and All-Cause Mortality in Patients With Acute Coronary Syndrome: A Systematic Review and Meta-Analysis

The aim of this systematic review and meta-analysis was to investigate the impact of early sodium-glucose cotransporter-2 (SGLT2) initiation on long-term cardiovascular outcomes and all-cause mortality among patients with acute coronary syndrome (ACS). For this study, we adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline. Two researchers independently performed a comprehensive literature search on PubMed, Embase, and the Cochrane Library, spanning from the inception of each database to February 24, 2023, without language limitations. The outcomes examined in this meta-analysis comprised major adverse cardiovascular events (MACE) (as defined by individual studies), all-cause mortality, cardiovascular mortality, stroke (ischemic and hemorrhagic), recurrent ACS, and hospitalization due to heart failure (HF). A total of nine studies were included in this meta-analysis. The pooled analysis of nine studies revealed a significant reduction in the risk of MACE, all-cause mortality, cardiovascular mortality, and cardiovascular-related hospitalizations among patients receiving SGLT2 inhibitors (SGLT2i) compared to those in the control group. Additionally, there was a trend toward a lower risk of recurrent ACS in the SGLT2i group, although this difference did not reach statistical significance. The findings of this study suggest a promising therapeutic effect of SGLT2 inhibitors in this population. Further research, particularly focusing on myocardial infarction (MI) patients, is warranted to validate these results and potentially revolutionize ACS management.

The spectrum of post-myocardial infarction care: From acute ischemia to heart failure

Heart failure (HF) is the leading cause of mortality in patients with acute myocardial infarction (AMI), with incidence ranging from 14% to 36% in patients admitted due to AMI. HF post-MI develops due to complex inter-play between macrovascular obstruction, microvascular dysfunction, myocardial stunning and remodeling, inflammation, and neuro-hormonal activation. Cardiogenic shock is an extreme presentation of HF post-MI and is associated with a high mortality. Early revascularization is the only therapy shown to improve survival in patients with cardiogenic shock. Treatment of HF post-MI requires prompt recognition and timely introduction of guideline-directed therapies to improve mortality and morbidity. This article aims to provide an up-to-date review on the incidence and pathogenesis of HF post-MI, current strategies to prevent and treat onset of HF post-MI, promising therapeutic strategies, and knowledge gaps in the field.

Cardiac Troponin, Kidney Function, Heart Failure and Mortality After Myocardial Infarction in Patients With and Without Kidney Impairment

Cardiac troponins (cTn) are routinely measured for the diagnosis and prognosis of myocardial infarction (MI). The relation between troponin levels, estimated glomerular filtration rate (eGFR), postinfarction heart failure (HF), and mortality is unclear in patients with kidney impairment. This is a retrospective, cross-sectional study of patients presenting to the Emergency Department at a single tertiary center. Participants presenting with confirmed type I MI from January 1, 2019, to December 31, 2021, were analyzed from the Myocardial Ischemia National Audit Project database. Main outcomes were acute HF, measured using Killip class, and inpatient mortality. Peak cardiac troponin T (cTnT) level was a secondary outcome. Data on 2,815 patients (67±14 years, 28% female) were analyzed. Ordinal logistic regression analysis was used to test for predictors of increasing Killip class. Binary logistic regression was used to test for predictors of inpatient mortality. Analysis of a sub-sample matched for age and diabetes mellitus status showed increased mortality in patients with eGFR <60 ml/min/1.73 m2 (12.2% vs 4.4%, p <0.001). Multivariate predictors of acute HF included log-transformed peak cTnT, eGFR, body mass index (BMI), and diabetes mellitus status. Multivariate predictors of inpatient mortality included log-transformed peak cTnT, eGFR, age, BMI, and Killip class 3/4. On multivariate analysis, eGFR, ST-elevation MI diagnosis, BMI, male gender, diabetes mellitus status, and hypertension were all predictive of peak cTnT after MI. In conclusion, peak cTnT level and eGFR at presentation after MI are independent predictors of acute HF severity and death in patients with and without kidney impairment.

Declining risk of heart failure hospitalization following first acute myocardial infarction in Scotland between 1991-2016

AIM

Mortality from acute myocardial infarction (AMI) has declined, increasing the pool of survivors at risk of later development of heart failure (HF). However, coronary reperfusion limits infarct size and secondary prevention therapies have improved. In light of these competing influences, we examined long-term trends in the risk of HF hospitalization (HFH) following a first AMI occurring in Scotland over 25 years.

METHODS AND RESULTS

All patients in Scotland discharged alive after a first AMI between 1991 and 2015 were followed until a first HFH or death until the end of 2016 (minimum follow-up 1 year, maximum 26 years). A total of 175 672 people with no prior history of HF were discharged alive after a first AMI during the period of study. A total of 21 445 (12.2%) patients had a first HFH during a median follow-up of 6.7 years. Incidence of HFH (per 1000 person-years) at 1 year following discharge from a first AMI decreased from 59.3 (95% confidence interval [CI] 54.2-64.7) in 1991 to 31.3 (95% CI 27.3-35.8) in 2015, with consistent trends seen for HF occurring within 5 and 10 years. Accounting for the competing risk of death, the adjusted risk of HFH at 1 year after discharge decreased by 53% (95% CI 45-60%), with similar decreases at 5 and 10 years.

CONCLUSION

The incidence of HFH following AMI in Scotland has decreased since 1991. These trends suggest that better treatment of AMI and secondary prevention are having an impact on the risk of HF at a population level.

IncidenCe and predictOrs of heaRt fAiLure after acute coronarY Syndrome: The CORALYS registry

BACKGROUND

Previous studies investigating predictors of Heart Failure (HF) after acute coronary syndrome (ACS) were mostly conducted during fibrinolytic era or restricted to baseline characteristics and diagnoses prior to admission. We assessed the incidence and predictors of HF hospitalizations among patients treated with percutaneous coronary intervention (PCI) for ACS.

METHODS AND RESULTS

CORALYS is a multicenter, retrospective, observational registry including consecutive patients treated with PCI for ACS. Patients with known history of HF or reduced left ventricular ejection fraction (LVEF) were excluded. Incidence of HF hospitalizations was the primary endpoint. The composite of HF hospitalization or cardiovascular death, and cardiovascular and all-cause death were the secondary endpoints. Predictors of HF hospitalizations and the impact of HF hospitalization on cardiovascular and all-cause death were assessed by means of multivariable Cox proportional hazards model.14699 patients were included. After 2.9 ± 1.8 years, the incidence of HF hospitalizations was 12.7%. Multivariable analysis identified age, diabetes, chronic kidney disease, previous myocardial infarction, atrial fibrillation, pulmonary disease, GRACE risk-score ≥ 141, peripheral artery disease, cardiogenic shock at admission and LVEF ≤40% as independently associated with HF hospitalizations. Complete revascularization was associated with a lower risk of HF (HR 0.46,95%CI 0.39-0.55). HF hospitalization was associated with higher risk of CV and all-cause death (HR 1.89,95%CI 1.5-2.39 and HR 1.85,95%CI 1.6-2.14, respectively).

CONCLUSIONS

Incidence of HF hospitalizations among patients treated with PCI for ACS is not negligible and is associated with detrimental impact on patients' prognosis. Several variables may help to assess the risk of HF after ACS.

Intervention of Compound Xueshuantong Capsule on the incidence of heart failure in patients with acute myocardial infarction after PCI based on the combination of disease and syndrome: A multi-center, randomized, double-blind, controlled trial

BACKGROUND

Heart failure (HF), manifested as a severe or end stage of various cardiac diseases, is characterized by increased incidence, mortality, re-hospitalization, and economic burden. Myocardial infarction (MI) is one of the most common and important causes of HF. Since 2005, acute MI (AMI)-associated mortality in China has been on the rise, and MI accounts for 23.1% of the causes of HF. Traditional Chinese medicine (TCM) has the unique advantages of controlling angina pectoris and HF symptoms, and improving patients' quality of life. Compound Xueshuantong Capsule (CXSTC), also named as Fufang Xueshuantong Capsule, has the effect of increasing cardiac output and protecting myocardial function. In this trial, we aim to investigate the efficacy and safety of CXSTC in the prophylactic treatment of post-infarction HF and attempt to provide a clinical evidence-based basis for the prophylactic treatment of HF after AMI using TCM.

METHODS

This will be a multi-center, randomized, double-blind, placebo-parallel controlled trial. A total of 300 patients diagnosed with AMI and undergoing percutaneous coronary intervention within 12 hours of diagnosis will be randomized 1:1 into 2 groups: the control group that will be administered conventional Western medicine plus placebo and the trial group that will be administered XST along with the conventional Western medicine. The duration of treatment will be 3 months and the follow-up will be up to 6 months for both groups. The main efficacy indicator is the incidence of HF. The secondary efficacy indicators are cardiac function classification, 6-minute walk test score, TCM syndrome score, survival quality score, brain natriuretic peptide level, ultrasensitive C-reactive protein level, and cardiac ultrasound result. Data will be collected to analyze the underlying mechanisms by using IBM SPSS 23.0 software.

DISCUSSION

By investigating the efficacy and safety of CXSTC, this study will provide a clinical evidence base for the use of TCM in the prophylactic treatment of post-infarction HF.

Heart failure as a complication of myocardial infarction: rational therapy. Case report

Heart failure (HF) is still a frequent complication of myocardial infarction. Timely identification of subjects at risk for HF development and early initiation of guideline-directed HF therapy in these patients, can decrease the HF burden. This article aims at summarizing clinical data on established pharmacological therapies in treating post-MI patients with left ventricular systolic dysfunction and signs and symptoms of HF.

Spatiotemporal dynamics of macrophage heterogeneity and a potential function of Trem2hi macrophages in infarcted hearts

Heart failure (HF) is a frequent consequence of myocardial infarction (MI). Identification of the precise, time-dependent composition of inflammatory cells may provide clues for the establishment of new biomarkers and therapeutic approaches targeting post-MI HF. Here, we investigate the spatiotemporal dynamics of MI-associated immune cells in a mouse model of MI using spatial transcriptomics and single-cell RNA-sequencing (scRNA-seq). We identify twelve major immune cell populations; their proportions dynamically change after MI. Macrophages are the most abundant population at all-time points (>60%), except for day 1 post-MI. Trajectory inference analysis shows upregulation of Trem2 expression in macrophages during the late phase post-MI. In vivo injection of soluble Trem2 leads to significant functional and structural improvements in infarcted hearts. Our data contribute to a better understanding of MI-driven immune responses and further investigation to determine the regulatory factors of the Trem2 signaling pathway will aid the development of novel therapeutic strategies for post-MI HF.

Comparing and contrasting risk factors for heart failure in patients with and without history of myocardial infarction: data from HOMAGE and the UK Biobank

AIMS

Myocardial infarction (MI) is among the commonest attributable risk factors for heart failure (HF). We compared clinical characteristics associated with the progression to HF in patients with or without a history of MI in the HOMAGE cohort and validated our results in UK Biobank.

METHODS AND RESULTS

During a follow-up of 5.2 (3.5-5.9) years, 177 (2.4%) patients with prior MI and 370 (1.92%) patients without prior MI experienced HF onset in the HOMAGE cohort (n = 26 478, history of MI: n = 7241). Older age, male sex and higher heart rate were significant risk factors of HF onset in patients with and without prior MI. Lower renal function was more strongly associated with HF onset in patients with prior MI. Higher body mass index (BMI), systolic blood pressure and blood glucose were significantly associated with HF onset only in patients without prior MI (all p for interactions <0.05). In the UK Biobank (n = 500 001, history of MI: n = 4555), higher BMI, glycated haemoglobin, diabetes and hypertension had a stronger association with HF onset in participants without prior MI compared to participants with MI (all p for interactions <0.05).

CONCLUSION

The importance of clinical risk factors associated with HF onset is dependent on whether the patient has had a prior MI. Diabetes and hypertension are associated with new-onset HF only in the absence of MI history. Patients may benefit from targeted risk management based on MI history.

Sodium Glucose Cotransporter-2 Inhibition for Acute Myocardial Infarction: JACC Review Topic of the Week

Sodium glucose cotransporter-2 (SGLT2) inhibitors improve cardiorenal outcomes in patients with type 2 diabetes mellitus, chronic kidney disease, and chronic heart failure. SGLT2 inhibitors also reduce the risk of cardiovascular mortality and hospitalization for heart failure among patients with type 2 diabetes mellitus and a remote history of myocardial infarction (MI). As a result of the growing body of evidence in diverse disease states, and the hypothesized mechanisms of action, it is reasonable to consider the potential of SGLT2 inhibition to improve outcomes in patients with acute MI as well if initiated early after presentation. Whether these therapies are efficacious and safe to use early in the course of acute coronary heart disease remains relatively unexplored. Here, we describe the contemporary data and continuing evidence gap for considering the use of SGLT2 inhibitors early following an acute MI to reduce cardiovascular morbidity and mortality.

Impact of Acute and Chronic Kidney Disease on Heart Failure Hospitalizations After Acute Myocardial Infarction

Very few studies evaluated the impact of acute kidney injury (AKI) and chronic kidney disease (CKD) on heart failure (HF) hospitalization risk following an acute myocardial infarction (AMI). For this retrospective cohort analysis, we identified adult AMI survivors from January to June 2014 from the United States Nationwide Readmissions Database. Outcomes were a 6-month HF, fatal HF, composite of HF during the AMI or a 6-month HF, and a composite of 6-month HF or death during a non-HF-related admission. We analyzed differences in outcomes across categories of patients without renal injury, AKI without CKD, stable CKD, AKI on CKD, and end-stage renal disease (ESRD). Of 237,549 AMI survivors, AKI was present in 13.8%, CKD in 16.5%, ESRD in 3.4%, and AKI on CKD in 7.7%. Patients with renal failure had lower coronary revascularization rates and higher in-hospital HF. A 6-month HF hospitalization occurred in 12,934 patients (5.4%). Compared with patients without renal failure (3.3%), 6-month HF admission rate was higher in patients with AKI on CKD (14.6%; odds ratio [OR] 1.99; 95% confidence interval [CI] 1.81 to 2.19), ESRD (11.2%; OR 1.57; 95% CI 1.36 to 1.81), stable CKD (10.7%; OR 1.72; 95% CI 1.56 to 1.88), and AKI (8.6%; OR 1.52; 95% CI 1.36 to 1.70). Results were generally homogenous in prespecified subgroups and for the other outcomes. In conclusion, 1 in 4 AMI survivors had either acute or chronic renal failure. The presence of any form of renal failure was associated with a substantially increased risk of 6-month HF hospitalizations and associated mortality with the highest risk associated with AKI on CKD.

Impact of age, gender and heart failure on mortality trends after acute myocardial infarction in Italy

BACKGROUND

The outcome of patients with acute myocardial infarction (AMI) may vary substantially based on baseline risk. We aimed at analyzing the impact of gender, age and heart failure (HF) on mortality trends, based on a nationwide, comprehensive and universal administrative database of AMI.

METHODS

This is a nationwide cohort study of patients admitted with AMI from 2009 to 2018 in all Italian hospitals. In-hospital mortality rate (I-MR) and 1-year post-discharge mortality rate (1-Y-MR) were assessed.

RESULTS

Among the 1,000,965 AMI events included in the analysis, 43.6% occurred in patients aged ≥75 years, 34.7% in females and 21.8% in AMI complicated by HF at the index hospitalization. Both I-MR and 1-Y-MR significantly decreased over time (from 8.87% to 6.72%; mean annual change -0.23%; confidence intervals (CI): - 0.26% to -0.20% and from 12.24% to 10.59%; mean annual change -0.18%; CI: - 0.24% to -0.13%, respectively). This trend was confirmed in younger and elderly AMI patients, in both sexes. In AMI patients complicated by HF, both I-MR and 1-Y-MR were markedly high, regardless of age and gender.

CONCLUSIONS

This contemporary, nationwide study suggests that I-MR and 1-Y-MR are still elevated, albeit decreasing over time. Elderly patients and those with HF at the time of index admission, present a particularly high risk of fatal events, regardless of gender.

Nanoparticle-Mediated Blocking of Excessive Inflammation for Prevention of Heart Failure Following Myocardial Infarction

Severe cardiac damage following myocardial infarction (MI) causes excessive inflammation, which sustains tissue damage and often induces adverse cardiac remodeling toward cardiac function impairment and heart failure. Timely resolution of post-MI inflammation may prevent cardiac remodeling and development of heart failure. Cell therapy approaches for MI are time-consuming and costly, and have shown marginal efficacy in clinical trials. Here, nanoparticles targeting the immune system to attenuate excessive inflammation in infarcted myocardium are presented. Liposomal nanoparticles loaded with MI antigens and rapamycin (L-Ag/R) enable effective induction of tolerogenic dendritic cells presenting the antigens and subsequent induction of antigen-specific regulatory T cells (Tregs). Impressively, intradermal injection of L-Ag/R into acute MI mice attenuates inflammation in the myocardium by inducing Tregs and an inflammatory-to-reparative macrophage polarization, inhibits adverse cardiac remodeling, and improves cardiac function. Nanoparticle-mediated blocking of excessive inflammation in infarcted myocardium may be an effective intervention to prevent the development of post-MI heart failure.

Clinical burden, risk factor impact and outcomes following myocardial infarction and stroke: A 25-year individual patient level linkage study

BACKGROUND

Understanding trends in the incidence and outcomes of myocardial infarction and stroke, and how these are influenced by changes in cardiovascular risk factors can inform health policy and healthcare provision.

METHODS

We identified all patients 30 years or older with myocardial infarction or stroke in Scotland. Risk factor levels were determined from national health surveys. Incidence, potential impact fractions and burden attributable to risk factor changes were calculated. Risk of subsequent fatal and non-fatal events (myocardial infarction, stroke, bleeding and heart failure hospitalization) were calculated with multi-state models.

FINDINGS

From 1990 to 2014, there were 372,873 (71±13 years) myocardial infarctions and 290,927 (74±13 years) ischemic or hemorrhagic strokes. Age-standardized incidence per 100,000 fell from 1,069 (95% confidence interval, 1,024-1,116) to 276 (263-290) for myocardial infarction and from 608 (581-636) to 188 (178-197) for ischemic stroke. Systolic blood pressure, smoking and cholesterol decreased, but body-mass index increased, and diabetes prevalence doubled. Changes in risk factors accounted for a 74% (57-91%) reduction in myocardial infarction and 68% (55-83%) reduction in ischemic stroke. Following myocardial infarction, the risk of death decreased (30% to 20%), but non-fatal events increased (20% to 24%) whereas the risk of both death (47% to 34%) and non-fatal events (22% to 17%) decreased following stroke.

INTERPRETATION

Over the last 25 years, substantial reductions in myocardial infarction and ischemic stroke incidence are attributable to major shifts in risk factor levels. Deaths following the index event decreased for both myocardial infarction and stroke, but rates remained substantially higher for stroke.

FUNDING

British heart foundation.

Predictive Value of Pro-BNP for Heart Failure Readmission after an Acute Coronary Syndrome

BACKGROUND

N-terminal pro-brain natural peptide (NT-pro-BNP) is a well-established biomarker of tissue congestion and has prognostic value in patients with heart failure (HF). Nonetheless, there is scarce evidence on its predictive capacity for HF re-admission after an acute coronary syndrome (ACS). We performed a prospective, single-center study in all patients discharged after an ACS. HF re-admission was analyzed by competing risk regression, taking all-cause mortality as a competing event. Results are presented as sub-hazard ratios (sHR). Recurrent hospitalizations were tested by negative binomial regression, and results are presented as incidence risk ratio (IRR).

RESULTS

Of the 2133 included patients, 528 (24.8%) had HF during the ACS hospitalization, and their pro-BNP levels were higher (3220 pg/mL vs. 684.2 pg/mL; p < 0.001). In-hospital mortality was 2.9%, and pro-BNP was similarly higher in these patients. Increased pro-BNP levels were correlated to increased risk of HF or death during the hospitalization. Over follow-up (median 38 months) 243 (11.7%) patients had at least one hospital readmission for HF and 151 (7.1%) had more than one. Complete revascularization had a preventive effect on HF readmission, whereas several other variables were associated with higher risk. Pro-BNP was independently associated with HF admission (sHR: 1.47) and readmission (IRR: 1.45) at any age. Significant interactions were found for the predictive value of pro-BNP in women, diabetes, renal dysfunction, STEMI and patients without troponin elevation.

CONCLUSIONS

In-hospital determination of pro-BNP is an independent predictor of HF readmission after an ACS.

Comparison of clinical outcomes and left ventricular remodeling after ST-elevation myocardial infarction between patients with and without diabetes mellitus

Left ventricular remodeling (LVR) after ST-elevation myocardial infarction (STEMI) is generally thought to be an adaptive but compromising phenomenon particularly in patients with diabetes mellitus (DM). However, whether the extent of LVR is associated with poor prognostic outcome with or without DM after STEMI in the modern era of reperfusion therapy has not been elucidated. This was a single-center retrospective observational study. Altogether, 243 patients who were diagnosed as having STEMI between January 2016 and March 2019, and examined with echocardiography at baseline (at the time of index admission) and mid-term (from 6 to 11 months after index admission) follow-up were included and divided into the DM (n = 98) and non-DM groups (n = 145). The primary outcome was major adverse cardiovascular events (MACEs) defined as the composite of all-cause death, heart failure (HF) hospitalization, and non-fatal myocardial infarction. The median follow-up duration was 621 days (interquartile range: 304–963 days). The DM group was significantly increased the rate of MACEs (P = 0.020) and HF hospitalization (P = 0.037) compared with the non-DM group, despite of less LVR. Multivariate Cox regression analyses revealed that the patients with DM after STEMI were significantly associated with MACEs (Hazard ratio [HR] 2.79, 95% confidence interval [CI] 1.20–6.47, P = 0.017) and HF hospitalization (HR 3.62, 95% CI 1.19–11.02, P = 0.023) after controlling known clinical risk factors. LVR were also significantly associated with MACEs (HR 2.44, 95% CI 1.03–5.78, P = 0.044) and HF hospitalization (HR 3.76, 95% CI 1.15–12.32, P = 0.029). The patients with both DM and LVR had worse clinical outcomes including MACEs and HF hospitalization, suggesting that it is particularly critical to minimize LVR after STEMI in patients with DM.

Heart failure after myocardial infarction: incidence and predictors

Aims

The aim of the present paper was to provide an up‐to‐date view on epidemiology and risk factors of heart failure (HF) development after myocardial infarction.

Methods and results

Based on literature review, several clinical risk factors and biochemical, genetic, and imaging biomarkers were identified to predict the risk of HF development after myocardial infarction.

Conclusions

Heart failure is still a frequent complication of myocardial infarction. Timely identification of subjects at risk for HF development using a multimodality approach, and early initiation of guideline‐directed HF therapy in these patients, can decrease the HF burden.

Readmission and mortality among heart failure patients with history of hypertension in a statewide database

Objective was to examine the temporal trends in readmission and mortality of heart failure (HF) patients with history of hypertension. This study includes 51 141 patients with history of hypertension who were discharged with a first diagnosis of HF between January 1, 2000, and December 31, 2014. Data were obtained from the Myocardial Infarction Data Acquisition System (MIDAS), a statewide database of all hospitalizations for cardiovascular (CV) disease in New Jersey. The temporal trends of mortality, rates of HF-specific readmission, and all-cause readmissions up to 1 year after discharge were examined using multivariable logistic regression. The difference in all-cause mortality at 3 years between patients who were readmitted compared to those who were not readmitted at 1 year was examined. The number of patients with history of hypertension and HF remained unchanged during the study period. Male gender, black race, comorbidities, and admission to non-teaching hospitals were predictors of HF readmission and CV mortality (P < .05 for all). Readmission rate for any cause increased during the study period (P < .001) while rates of HF readmissions and mortality remained relatively unchanged. Patients that had been readmitted within a year exhibited a significantly higher 3-year mortality (P < .001). CV mortality among HF patients with history of hypertension did not change significantly between 2000 and 2014, while the rates of all-cause readmission increased. Patients who were readmitted had higher 3-year mortality (P < .001) than those who were not.

Trends in Recurrent Coronary Heart Disease After Myocardial Infarction Among US Women and Men Between 2008 and 2017

BACKGROUND

Rates for recurrent coronary heart disease (CHD) events have declined in the United States. However, few studies have assessed whether this decline has been similar among women and men.

METHODS

Data were used from 770 408 US women and 700 477 US men <65 years of age with commercial health insurance through MarketScan and ≥66 years of age with government health insurance through Medicare who had a myocardial infarction (MI) hospitalization between 2008 and 2017. Women and men were followed up for recurrent MI, recurrent CHD events (ie, recurrent MI or coronary revascularization), heart failure hospitalization, and all-cause mortality (Medicare only) in the 365 days after MI.

RESULTS

From 2008 to 2017, age-standardized recurrent MI rates per 1000 person-years decreased from 89.2 to 72.3 in women and from 94.2 to 81.3 in men (multivariable-adjusted P interaction by sex <0.001). Recurrent CHD event rates decreased from 166.3 to 133.3 in women and from 198.1 to 176.8 in men (P interaction <0.001). Heart failure hospitalization rates decreased from 177.4 to 158.1 in women and from 162.9 to 156.1 in men (P interaction=0.001). All-cause mortality rates decreased from 403.2 to 389.5 in women and from 436.1 to 417.9 in men (P interaction=0.82). In 2017, the multivariable-adjusted rate ratios comparing women with men were 0.90 (95% CI, 0.86-0.93) for recurrent MI, 0.80 (95% CI, 0.78-0.82) for recurrent CHD events, 0.99 (95% CI, 0.96-1.01) for heart failure hospitalization, and 0.82 (95% CI, 0.80-0.83) for all-cause mortality.

CONCLUSIONS

Rates of recurrent MI, recurrent CHD events, heart failure hospitalization, and mortality in the first year after an MI declined considerably between 2008 and 2017 in both men and women, with proportionally greater reductions for women than men. However, rates remain very high, and rates of recurrent MI, recurrent CHD events, and death continue to be higher among men than women.

Diabetes mellitus and risk of new-onset and recurrent heart failure: a systematic review and meta-analysis

Despite mounting evidence of the positive relationship between diabetes mellitus (DM) and heart failure (HF), the entire context of the magnitude of risk for HF in relation to DM remains insufficiently understood. The principal reason is because new‐onset HF (HF occurring in participants without a history of HF) and recurrent HF (HF re‐occurring in patients with a history of HF) are not discriminated. This meta‐analysis aims to comprehensively and separately assess the risk of new‐onset and recurrent HF depending on the presence or absence of DM. We systematically searched cohort studies that examined the relationship between DM and new‐onset or recurrent HF using EMBASE and MEDLINE (from 1 Jan 1950 to 28 Jul 2019). The risk ratio (RR) for HF in individuals with DM compared with those without DM was pooled with a random‐effects model. Seventy‐four and 38 eligible studies presented data on RRs for new‐onset and recurrent HF, respectively. For new‐onset HF, the pooled RR [95% confidence interval (CI)] of 69 studies that examined HF as a whole [i.e. combining HF with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF)] was 2.14 (1.96–2.34). The large between‐study heterogeneity (I² = 99.7%, P < 0.001) was significantly explained by mean age [pooled RR (95% CI) 2.60 (2.38–2.84) for mean age < 60 years vs. pooled RR (95% CI) 1.95 (1.79–2.13) for mean age ≥ 60 years] (P < 0.001). Pooled RRs (95% CI) of seven and eight studies, respectively, that separately examined HFpEF and HFrEF risk were 2.22 (2.02–2.43) for HFpEF and 2.73 (2.71–2.75) for HFrEF. The risk magnitudes between HFpEF and HFrEF were not significantly different in studies that examined both HFpEF and HFrEF risks (P = 0.86). For recurrent HF, pooled RR (95% CI) of the 38 studies was 1.39 (1.33–1.45). The large between‐study heterogeneity (I² = 80.1%, P < 0.001) was significantly explained by the proportion of men [pooled RR (95% CI) 1.53 (1.40–1.68) for < 65% men vs. 1.32 (1.25–1.39) for ≥65% men (P = 0.01)] or the large pooled RR for studies of only participants with HFpEF [pooled RR (95% CI), 1.73 (1.32–2.26) (P = 0.002)]. Results indicate that DM is a significant risk factor for both new‐onset and recurrent HF. It is suggested that the risk magnitude is large for new‐onset HF especially in young populations and for recurrent HF especially in women or individuals with HFpEF. DM is associated with future HFpEF and HFrEF to the same extent.

New-onset heart failure after acute coronary syndrome in patients without heart failure or left ventricular dysfunction

INTRODUCTION AND OBJECTIVES

Coronary heart disease is the leading cause of heart failure (HF). The aim of this study was to assess the risk of readmission for HF in patients with acute coronary syndrome without previous HF or left ventricular dysfunction.

METHODS

Prospective study of consecutive patients admitted for acute coronary syndrome in 2 institutions. Risk factors for HF were analyzed by competing risk regression, taking all-cause mortality as a competing event.

RESULTS

We included 5962 patients and 567 (9.5%) experienced at least 1 hospital readmission for acute HF. Median follow-up was 63 months and median time to HF readmission was 27.1 months. The cumulative incidence of HF was higher than mortality in the first 7 years after hospital discharge. A higher risk of HF readmission was associated with age, diabetes, previous coronary heart disease, GRACE score> 140, peripheral arterial disease, renal dysfunction, hypertension and atrial fibrillation; a lower risk was associated with optimal medical treatment. The incidence of HF in the first year of follow-up was 2.73% and no protective variables were found. A simple HF risk score predicted HF readmissions risk.

CONCLUSIONS

One out of 10 patients discharged after an acute coronary syndrome without previous HF or left ventricular dysfunction had new-onset HF and the risk was higher than the risk of mortality. A simple clinical score can estimate individual risk of HF readmission even in patients without previous HF or left ventricular dysfunction.

Uses and opportunities for machine learning in hypertension research

Background

Artificial intelligence (AI) promises to provide useful information to clinicians specializing in hypertension. Already, there are some significant AI applications on large validated data sets.

Methods and results

This review presents the use of AI to predict clinical outcomes in big data i.e. data with high volume, variety, veracity, velocity and value. Four examples are included in this review. In the first example, deep learning and support vector machine (SVM) predicted the occurrence of cardiovascular events with 56%–57% accuracy. In the second example, in a data base of 378,256 patients, a neural network algorithm predicted the occurrence of cardiovascular events during 10 year follow up with sensitivity (68%) and specificity (71%). In the third example, a machine learning algorithm classified 1,504,437 patients on the presence or absence of hypertension with 51% sensitivity, 99% specificity and area under the curve 87%. In example four, wearable biosensors and portable devices were used in assessing a person's risk of developing hypertension using photoplethysmography to separate persons who were at risk of developing hypertension with sensitivity higher than 80% and positive predictive value higher than 90%. The results of the above studies were adjusted for demographics and the traditional risk factors for atherosclerotic disease.

Conclusion

These examples describe the use of artificial intelligence methods in the field of hypertension.

Changing Trends in the Landscape of Patients Hospitalized With Acute Myocardial Infarction (2001 to 2011) (from the Worcester Heart Attack Study)

During the past several decades, new diagnostic tools, interventional approaches, and population-wide changes in the major coronary risk factors have taken place. However, few studies have examined relatively recent trends in the demographic characteristics, clinical profile, and the short-term outcomes of patients hospitalized for acute myocardial infarction (AMI) from the more generalizable perspective of a population-based investigation. We examined decade long trends (2001 to 2011) in patient's demographic and clinical characteristics, treatment practices, and hospital outcomes among residents of the Worcester metropolitan area hospitalized with an initial AMI (n = 3,730) at all 11 greater Worcester medical centers during 2001, 2003, 2005, 2007, 2009, and 2011. The average age of the study population was 68.5 years and 56.9% were men. Patients hospitalized with a first AMI during the most recent study years were significantly younger (mean age = 69.9 years in 2001/2003; 65.2 years in 2009/2011), had lower serum troponin levels, and experienced a shorter hospital stay compared with patients hospitalized during the earliest study years. Hospitalized patients were more likely to received evidence-based medical management practices over the decade long period under study. Multivariable-adjusted regression models showed a considerable decline over time in the hospital death rate and a significant reduction in the proportion of patients who developed atrial fibrillation, heart failure, and ventricular fibrillation during their acute hospitalization. These results highlight the changing nature of patients hospitalized with an incident AMI, and reinforce the need for surveillance of AMI at the community level.

Relation Between Statewide Hospital Performance Reports on Myocardial Infarction and Cardiovascular Outcomes

Healthcare systems may be judged on quality of care and access to health services. Studies on the association of hospital quality of care scores and clinical outcomes have yielded mixed results. With the help of a richer and more representative database, the aim of our study was to shed light on these inconsistencies. We examined the association of 4 process of care scores (prescription of aspirin, β blocker, angiotensin-converting enzyme inhibitor or angiotensin receptor blocker used for left ventricular systolic dysfunction, and an overall composite score) for acute myocardial infarction (AMI), reported in the Hospital Performance Reports, with 30-day and 1-year rates of readmission for AMI and cardiovascular (CV) death. Clinical outcomes were from the Myocardial Infarction Data Acquisition System, an administrative database that comprises all patient CV disease admissions to acute care hospitals in New Jersey. CV death was related with overall score (adjusted odds ratio [OR] 0.821, 95% confidence interval [CI] 0.726 to 0.930, p = 0.002) at 30 days and with all 4 scores at 1 year (OR ranging from 0.829 to 0.997, p <0.01). Readmission due to AMI was associated with the overall score (OR 0.789, 95% CI 0.691 to 0.902, p <0.0001) and the aspirin score (OR 0.995, 95% CI 0.990 to 1, p = 0.046) at 30 days. Low hospital performance scores for AMI were associated with increased CV death and readmission for AMI. In conclusion, healthcare providers should allocate their resources to improving hospital performance to decrease AMI case fatality, AMI readmissions, and CV-related healthcare spending.