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Abstract Aims Heart failure (HF) continues to be a major cause of morbidity and mortality worldwide, placing a significant burden on healthcare systems. Differences in the outcomes of HF hospitalizations for adults in teaching vs. non-teaching hospitals in urban settings are uncertain. We evaluated outcomes of HF hospitalizations in patients hospitalized in urban teaching vs. non-teaching hospitals in the United States. Methods and results HF hospitalizations were abstracted from the 2016 through 2022 Nationwide Readmissions Database and stratified into urban teaching vs. urban non-teaching hospital settings. Propensity-score matching was used to control for baseline differences between teaching and non-teaching hospital cohorts. Logistic regression and lognormal models were estimated to assess differences in inpatient mortality, length of stay (LOS), total costs, complications, and 30-day and 90-day all-cause readmissions. A total of 7 558 299 weighted HF hospitalizations were included in the analysis, of which 76.3% involved urban teaching hospitalizations. Compared to urban non-teaching, HF hospitalizations in urban teaching hospitals were associated with significantly higher odds of inpatient mortality (OR 1.19, 95% confidence interval [CI]: 1.16–1.22), complications including cardiogenic shock, cardiac arrest, Intra-aortic balloon pump, cardiopulmonary resuscitation, extracorporeal membrane oxygenation and mechanical ventilation use as well as more extended hospital LOS, higher total costs, palliative care consultation and readmissions rates (all P < 0.001). 30-day and 90-day all-cause readmission rates were also statistically higher in teaching hospitals, though the difference was clinically non-significant. Conclusion HF hospitalizations in urban teaching hospitals were associated with higher inpatient mortality, complication rates, resource utilization, and palliative care consult rates than urban non-teaching hospitals.

Background: Muscular dystrophies (MDs) may cause heart failure (HF), but outcomes specific to MD-related HF are not well characterized. Research Question: Do the outcomes of HF hospitalizations differ between patients with underlying MDs (MD-HF) vs. patients without MDs (non-MD-HF) in the United States? Methods: Discharge data from HF hospitalizations were abstracted from the Nationwide Readmissions Database (2016-2022) and stratified by the presence or absence of MD (MD-HF vs. non-MD-HF). Logistic regression and lognormal models were estimated to assess differences in inpatient mortality, length of stay (LOS), total costs, complications, and 30-day and 90-day all-cause readmissions. Propensity-score matching (PSM) was used to control baseline differences between the MD-HF and non-MD-HF cohorts. Odds ratios (OR) with associated 95% Confidence intervals (CI) and p-values were reported. Analyses were conducted via SAS v. 9.4, with statistical significance indicated by two-tailed p<.05. Results: 8,466,806 HF hospitalizations were included in the analysis, of which 3688 (0.04%) involved patients with MD. MD-HF hospitalizations involved younger patients (mean age 55.3 vs. 71.3 years, p<0.001) with higher rates of HF with reduced ejection fraction (HFrEF) compared to non-MD-HF hospitalizations (48.1% vs. 34.9%, p<0.001). Compared to non-MD-HF hospitalizations (2.01%), MD-HF hospitalizations (5.82%) were associated with significantly higher odds of inpatient mortality (OR 3.01, 95% CI: 2.03, 4.45); higher complications rate (OR 2.11, 95% CI, 1.77, 2.52) including cardiogenic shock (OR 2.61, 95% CI, 1.90, 3.59), cardiac arrest (OR 2.27, 95% CI, 1.17, 4.41), use of mechanical ventilation (OR 2.23, 95% CI, 1.82, 2.73); higher palliative care consultation (OR 4.52, 95% CI, 3.21, 6.36); as well as more extended hospital LOS (OR 1.18, 95% CI, 1.09, 1.29), higher total costs (OR 1.32, 95% CI, 1.24, 1.41), and higher odds of discharge to rehab facility (OR 2.46, 95% CI, 1.99, 3.03) and home healthcare (OR 1.85, 95% CI, 1.55, 2.21) (all p<0.001). MD was not associated with a significant difference in 30-day (OR 0.94, 95% CI, 0.78, 1.12) and 90-day (OR 0.98, 95% CI, 0.82, 1.17) all-cause readmission rates. Conclusion: MD-HF hospitalizations were associated with higher inpatient mortality, complication rates, resource utilization, discharge to rehab facility and home healthcare, and no difference in readmission rates compared to non-MD-HF hospitalizations.

Background: Heart failure (HF) continues to be a major cause of morbidity and mortality worldwide, placing a significant burden on healthcare systems. Differences in the outcomes of HF hospitalizations for adults in teaching vs. non-teaching hospitals in urban settings are uncertain. Research Question: Do outcomes of HF hospitalizations differ between patients hospitalized in urban teaching vs. non-teaching hospitals in the United States? Methods: HF hospitalizations were abstracted from the 2016 through 2022 Nationwide Readmissions Database and stratified into urban teaching vs. urban non-teaching hospital settings. Propensity-score matching was used to control for baseline differences between teaching and non-teaching hospital cohorts. Logistic regression and lognormal models were estimated to assess differences in inpatient mortality, length of stay (LOS), total costs, complications, and 30-day and 90-day all-cause readmissions. Odds ratios (OR) with associated 95% Confidence intervals (CI) and p-values were reported. Analyses were conducted via SAS v. 9.4. Results: A total of 7,558,299 weighted HF hospitalizations were included in the analysis, of which 76.3% involved urban teaching hospitalizations. Compared to urban non-teaching, HF hospitalizations in urban teaching hospitals were associated with higher odds of in-hospital mortality (OR 1.24, 95% CI:1.21-1.27); had higher complications, including cardiogenic shock (OR 2.58, 95% CI, 2.46, 2.70), cardiac arrest (OR 1.31, 95% CI, 1.27, 1.36), CPR (OR 1.28, 95% CI, 1.22, 1.34), and use of extracorporeal membrane oxygenation (OR 20.13, 95% CI, 13.0, 31.2), intra-aortic balloon pump (OR 4.46, 95% CI, 3.90, 5.10) and mechanical ventilation (OR 1.27, 95% CI, 1.23, 1.33); higher hospitalization cost (Ratio 1.18, 95% CI: 1.17,1.20), longer length of stay (OR 1.16, 95% CI: 1.15, 1.17) and a greater palliative care consultation rate (Ratio 1.35 (95% CI 1.30, 1.40) (all p<0.001) ( Figure 1 ). 30-day (OR 1.03, 95% CI: 1.02, 1.04) and 90-day (OR 1.05, 95% CI: 1.02, 1.07) all-cause readmission rates were also statistically higher (p<0.001), though the difference was clinically non-significant ( Figure 2 ). The home discharge rate was similar for teaching and non-teaching hospitals ( Figure 2 ). Conclusion: HF hospitalizations in urban teaching hospitals were associated with higher inpatient mortality, complication rates, resource utilization, and palliative care consult rates than urban non-teaching hospitals.

Background: Acute myocardial infarction (AMI) represents a significant component of cardiovascular disease (CVD) mortality among the young and middle-aged populations of the United States (US). Research Question: To analyze the long-term trends and the impact of the COVID-19 pandemic on AMI-related mortality among the young and middle-aged populations of the US. Methods: Data from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) multiple causes of death database were used to analyze death certificates from 1999 to 2023 for AMI-related deaths among the young and middle-aged population (aged 25-64) of the US. Age-adjusted mortality rates (AAMRs) per 100,000 people and associated annual percent changes (APCs) and average APC (AAPCs) were analyzed using Joinpoint regression analysis. Mortality trends were stratified by sex, race/ethnicity, and census region. Results: From 1999 to 2023, there were 970,454 AMI-related deaths among U.S. adults aged 25-64 years. The annual number of AMI-related deaths decreased from 44,040 in 1999 to 31,522 in 2023. The overall AAMR per 100,000 decreased from 31.02 deaths (95% CI, 30.73 to 31.31) in 1999 to 15.29 (95% CI, 15.11 to 15.46) in 2023 (AAPC -2.92%, 95% CI -3.22 to -2.75). The AAMR per 100,000 declined at a faster rate from 31.02 in 1999 to 19.57 in 2010 (1999-2010, APC -4.26), followed by a slower rate from 19.57 in 2010 to 16.67 in 2019 (2010-2019, APC -1.41), The declining trend was disrupted by a transient increase during the COVID-19 pandemic, with a peak AAMR of 19.73 (95% CI, 19.53 to 19.93) in 2021 (2019-2021, APC 8.52). The declining trend resumed from 2021 to 2023, with AAMR decreasing to the lowest levels of 15.29 in 2023 (2021-2023, APC -12.58). Heterogeneity across demographic and regional groups has narrowed during these 25 years. However, they are still prevalent, with men ( figure 1 ), non-Hispanic (NH) Black or African American, NH American Indian or Alaska Native ( figure 2 ), and the residents of the Southern United States ( figure 3 ) having higher mortality rates. Conclusion: Over the past 25 years, AMI-related mortality has declined in the young and middle-aged population of the US, although rates spiked during the COVID-19 pandemic before resuming their decline in 2022. While disparities among demographic and regional groups have narrowed, they still exist, necessitating comprehensive efforts to improve cardiovascular health outcomes.

Abstract Background Atrial high-rate episodes (AHRE) are commonly detected in individuals with cardiac implantable electronic devices. Outcomes of atrial high-rate episodes remain unclear in those without a prior history of atrial fibrillation. Purpose This study aims to evaluate clinical outcomes of atrial high-rate episodes in patients who have no prior history of atrial fibrillation. Methods PubMed, EMBASE, and Cochrane databases were searched through February 2024 for studies evaluating clinical outcomes in individuals with cardiac implantable electronic devices who experienced atrial high-rate episodes, compared to those who did not. Individuals who had a prior history of atrial fibrillation were excluded. Outcomes assessed were clinical atrial fibrillation, thromboembolic events, and all-cause mortality. A fixed-effects model was used to calculate risk ratios (RRs) with 95% confidence intervals (CI). A subgroup analysis of thromboembolic events was conducted based on the duration of atrial high-rate episodes. Results A total of 9 studies met inclusion criteria with a combined enrollment of 7440 patients. Compared to those who did not experience atrial high-rate episodes, those who did had significantly increased risks of clinical atrial fibrillation (RR 3.33; 95% CI 1.99 - 5.57; P &lt; 0.0001) and thromboembolic events (RR 2.21; 95% CI 1.72 -2.85; P &lt; 0.0001). The risk of all-cause mortality was similar between both groups (RR 1.19; 95% CI 0.95 – 1.49; P = 0.13). Subgroup analysis revealed an increased risk of thromboembolic events among atrial high-rate episodes ≥ 24 hours (RR 12.34; 95% CI 2.70 – 56.36) while atrial high-rate episodes lasting &lt; 24 hours were insignificantly associated with thromboembolic events (RR 0.83; 95% CI 0.12 – 5.58). Conclusions Our study indicates a heightened risk of clinical atrial fibrillation and thromboembolic events among patients with atrial high-rate episodes, with no observed increase in mortality risk. Furthermore, our findings suggest that the duration of atrial high-rate episodes influences the risk of thromboembolism. Further studies are warranted to confirm our findings.

Abstract Background The role of anticoagulation in patients with atrial high-rate episodes (AHRE), who have no prior history of atrial fibrillation or atrial flutter, is being extensively studied. Purpose Given the increased thrombo-embolic risk in patients who have atrial high-rate episodes, our aim was to evaluate whether anticoagulation leads to enhanced clinical outcomes compared to no anticoagulation (1). Methods We searched PubMed, EMBASE, and the Cochrane Library, through February 2024, for studies evaluating outcomes in patients with atrial high-rate episodes managed with oral anticoagulation (OAC) compared to those not managed with oral anticoagulation. Outcomes assessed were ischemic stroke, thromboembolic events, major bleeding, and all-cause mortality. A fixed-effects model was used to calculate pooled risk risk ratios (RR) and their 95% confidence intervals (CI). Results A total of 4 studies comprising 6788 patients were included. Anticoagulation was associated with a significant reduction in the risks of ischemic stroke (RR 0.66; 95% CI 0.49 - 0.90; P = 0.0084) and thromboembolic events (RR 0.70; 95% CI 0.55 - 0.89; P = 0.0037). Compared to atrial high-rate episodes not managed with anticoagulation, there was a significantly increased risk of major bleeding with anticoagulation (RR 1.57; 95% CI 1.23 - 2.00; P = 0.0002), while the risk of all-cause mortality was similar (RR 1.07; 95% CI 0.95 - 1.21; P = 0.2437). Conclusion Our study suggests that anticoagulation in patients with atrial high-rate episodes decreases the risks of ischemic stroke and thromboembolic events, while increasing the risk of major bleeding, compared patients not managed with anticoagulation. Our study does not show a mortality benefit with the use of anticoagulation in patients with atrial high-rate episodes. Further studies are needed to confirm the safety and efficacy of anticoagulation in atrial high-rate episodes.Forest Plots of Outcomes Assessed

Abstract Background Transcatheter aortic valve replacement (TAVR) continues to be increasingly performed. While machine learning has demonstrated utility in predicting adverse outcomes in various cardiovascular procedures, its effectiveness in predicting in-hospital mortality in TAVR remains uncertain. Purpose We aimed to examine the accuracy of machine learning in predicting in-hospital mortality in TAVR. Methods We searched PubMed and Cochrane databases up to February 2024 for observational studies assessing the diagnostic accuracy of machine learning for predicting in-hospital mortality in TAVR. Extracted data included study characteristics, patient demographics, type of predictive model used, and area under the receiver operating characteristic curves (AUC). Predictive accuracy was assessed by pooling AUC of machine-learning models across studies. AUC values ranging from 0.80 to 0.90, 0.70 to 0.80, 0.60 to 0.70, and 0.50 to 0.60 corresponded to excellent, good, fair, and poor discrimination ability, respectively (1). We used a random effects model to estimate the overall effect size with a 95% confidence interval (CI). Heterogeneity was evaluated with the I2 test.We conducted subgroup analyses based on the type of machine-learning model utilized to assess for any potential differences in predictive accuracy. Results A total of three studies were identified, comprising a study population of 70,714 patients. Across studies, eight machine learning models were utilized, consisting of three artificial neural network models, one logistic regression model, one naive Bayes model, two random forest models, and one support vector machine model. Pooled AUC showed excellent accuracy of machine learning in predicting in-hospital mortality in TAVR (0.92; 95% CI 0.90 - 0.95). Subgroup analyses revealed similar yet excellent accuracy across all types of machine learning models utilized: artificial neural network (0.92; 95% CI 0.86-0.99), logistic regression (0.92; 95% CI 0.89-0.95), naive Bayes (0.90; 95% CI 0.88-0.92), random forest (0.94; 95% CI 0.87-1.00), and support vector machine (0.94; 95% CI 0.91-0.96). Conclusion Our study suggests that utilizing machine learning can accurately predict in-hospital mortality in TAVR. Operators of TAVR procedures may benefit from incorporating machine learning prediction models in their clinical practice. Further exploration of machine learning on outcomes in TAVR is needed to verify our findings.

Abstract Background Patients with heart failure possess an increased risk for adverse outcomes with noncardiac surgery (1). While bariatric surgery is frequently performed in patients with obesity, there remains a limited understanding of the impact of bariatric surgery in obese patients with heart failure. Purpose The purpose of this study was to compare outcomes of bariatric surgery versus nonsurgical management in obese patients with heart failure. Methods We searched PubMed, EMBASE, and the Cochrane Library, through February 2024, for studies evaluating outcomes in obese patients with heart failure who underwent bariatric surgery compared to nonsurgical management. Outcomes assessed were postoperative atrial fibrillation, all-cause mortality, and hospital readmission. We used a fixed-effect model to calculate hazard ratios (HR) with 95% confidence intervals (CI) in R studio for outcomes assessed. In outcomes where significant heterogeneity was found (P&lt; 0.05 and I2 &gt; 60%), a random effects model was used. Results A total of 3 studies were identified, consisting of 260,186 patients. Compared to nonsurgical management, bariatric surgery was associated with a significant reduction in postoperative atrial fibrillation (HR 0.72; 95% CI: 0.62-0.84), all-cause mortality (HR 0.50; 95%CI 0.35-0.72), and hospital readmission (HR 0.73; 95% CI 0.69-0.78) in obese patients with heart failure. Conclusion Our study suggests that bariatric surgery significantly reduces post-operative atrial fibrillation, mortality, and hospital readmission among obese patients with heart failure.Our findings demonstrate that bariatric surgery should be considered as a viable intervention in obese patients with heart failure. Further studies are warranted to confirm our findings.Forest Plots of Outcomes Assessed