Singh, Amitoj

aims: We assessed the diagnostic accuracy of the SVEAT score in predicting 30-day major adverse cardiac events (MACE) in comparison with the well-established HEART and TIMI scores. background: Acute chest pain (ACP) is a common symptom in emergency departments. Various risk stratification tools have been developed to assess patients presenting with ACP. The Simple Vascular Event Assessment Tool (SVEAT) is the most recent scoring system introduced, based on five variables: Symptoms of chest pain, history of Vascular disease, ECG, Age, and Troponin-I. objective: We assessed the diagnostic accuracy of the SVEAT score in predicting 30-day major adverse cardiac events (MACE) in comparison with the well-established HEART and TIMI scores. method: Following PRISMA guidelines, a systematic literature search was conducted across five databases until June 22, 2024. Four studies comprising 1,520 patients were included in this meta-analysis. The predictive accuracy of the SVEAT, HEART, and TIMI scores for 30-day MACE was assessed by the area under the receiver operating characteristic curve (AUC). Heterogeneity was evaluated using the I² statistic, with values over 75% indicating significant heterogeneity. Indirect comparisons among the scores were performed using the Z-test. result: Pooled AUC for the SVEAT score was 0.92 (95% CI: 0.86-0.98), indicating superior predictive accuracy compared to the HEART (AUC: 0.86, 95% CI: 0.81-0.92) and TIMI (AUC: 0.82, 95% CI: 0.69-0.96) scores. However, significant heterogeneity (I² = 90.6%) was observed across studies, potentially due to variations in patient demographics, clinical settings, and outcome definitions. Despite the higher AUC, indirect Z-test comparisons revealed no statistically significant differences between the scoring systems. conclusion: SVEAT score demonstrates potential as an accurate tool for predicting 30-day MACE in patients with ACP. other: N/A

Abstract Aims We evaluated clinical outcomes with GLP-1 RA use post-TAVI in patients with T2D. GLP-1 receptor agonists (GLP1-RAs) lower cardiovascular risk in type 2 diabetes (T2D), but their impact in patients with valvular heart disease, including those undergoing transcatheter aortic-valve implantation (TAVI), remained unexplored. Methods and results We conducted a retrospective cohort study using the TriNetX network, including 25 184 adults (≥18 years) with T2D who underwent TAVI (2015–2023). Patients were stratified based on GLP1-RA initiation within 14 days post-TAVI. Baseline characteristics, comorbidities, medications, and laboratory data were balanced using 1:1 propensity score matching (PSM). Cox models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for events from one-month post-TAVI until the most recent follow-up. PSM yielded 1101 patients per group, with a mean age of 73 years and 39% female. Mean follow-up duration was 2.2 ± 1.1 and 2.6 ± 1.8 years for GLP1-RA users and non-users, respectively. GLP1-RA use was also associated higher survival probability (HR: 0.708 [95% CI: 0.583–0.859]), and lower rates of all-cause hospitalization (HR: 0.790 [95% CI, 0.706–0.885]), major cardiovascular events (HR: 0.849 [95% CI: 0.749–0.963]), and acute heart failure exacerbation (HR: 0.785 [95% CI: 0.677–0.909]), acute kidney injury (HR: 0.843 [95% CI: 0.719–0.988]), and major kidney events (HR: 0.665 [95% CI: 0.510–0.866]). No differences were observed in acute myocardial infarction, cerebral infarction, or cardiac arrest. Conclusion In patients with T2D undergoing TAVI, GLP1-RA use is associated with significant survival benefits and improved cardiorenal outcomes. However, these findings are limited by the observational design, high comorbidity burden, lack of data on medication compliance, and specific cause of death. Prospective trials are warranted to confirm these benefits.

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, contributing to significant morbidity and mortality worldwide. The relationship between physical exercise and AF is complex, with studies showing both beneficial and potentially adverse effects. Moreover, evidence suggests a U-shaped association between exercise intensity and AF risk. Moderate exercise has been shown to reduce AF burden by improving cardiovascular risk factors, enhancing autonomic regulation, and mitigating atrial fibrosis. In contrast, excessively high-intensity endurance exercise may increase AF risk, particularly in young athletes, due to atrial stretching, dilation, fibrosis, autonomic imbalances, and heightened inflammation. The current guidelines emphasize exercise as a core lifestyle intervention for AF management, recommending moderate-intensity aerobic activity for optimal outcomes. This review examines the current evidence on the effects of exercise on AF, identifies knowledge gaps, and proposes potential future research directions.

Introduction: Amyloidosis complicated by heart failure (HF) poses significant mortality. We sought to identify trends in comorbid amyloidosis and HF mortality in the recent 22- year period. Methods: Mortality due to amyloid and HF as contributors of death were queried from death certificates using the CDC database from 1999 to 2020. Mortality rates and their 95% confidence intervals were adjusted for age (AAMR) through the Direct method and compared by demographic subpopulations. The Monte-Carlo permutation test was used to estimate the annual percentage change (APC). Log-linear regression models were utilized to assess temporal variation in mortality. Results: Age-adjusted mortality rates (AAMR) increased from 0.09 [0.08-0.10] in 1999 to 0.27 [0.25-0.29] in 2020. Mortality increased from 1999 to 2013 (APC +1.4, p=0.048) with an accelerating inflection point in 2013 to 2020 (APC +13.3, p<0.001). AAMR was higher among male populations (AAMR 0.20 [0.20-0.21]) compared to female populations (AAMR 0.07 [0.07- 0.07]). A significant inflection point in uprising mortality rates was observed for both male and female populations in 2013 (p<0.001). Mortality was highest among Black populations (AAMR 0.33), followed by White (AAMR 0.10), Asian/Pacific Islander (AAMR 0.06), and American Indian/Alaska Native populations (AAMR 0.04). Among Black populations, mortality remained consistent from 1999 to 2012 (APC +1.1, p=0.184), followed by an increase from 2012 to 2020 (APC +14.0, p<0.001). Among White populations, mortality remained stagnant from 1999 to 2013 (APC +0.7, p=0.302), followed by an increase starting in 2013 to 2020 (APC +13.5, p<0.001). Discussion: Our findings of a marked rise in HF-related mortality in patients with amyloidosis since 2013 highlighted the profound impact of enhanced diagnostic awareness, novel imaging techniques, and emerging therapeutics. Our analysis also showed mortality disparities between sexes, and geographic locations, races, and ethnicity that warrant targeted public health interventions. Conclusions: Amyloid and HF mortality increased in the recent 22-year period, primarily starting in 2013, emphasizing the urgent need for targeted intervention to address these disparities.

Abstract Background Chronic kidney disease (CKD) increases cardiac arrest (CA) risk because of renal and cardiovascular interactions. Methods Using Centers for Disease Control and Prevention (CDC) data from 1999 to 2020, we analyzed CKD‐related CA mortality and the impact of social vulnerability index (SVI). Results We identified 336 494 CKD‐related CA deaths, with stable age‐adjusted mortality rates over time. Disparities were observed across gender, racial/ethnic, and geographic subpopulations, with higher mortality among males, Hispanic and non‐Hispanic Black populations, and those in urban and Western regions. Higher SVI correlated with increased mortality. Conclusions CKD‐related CA mortality rates are stable, with disparities across demographics; higher SVI correlates with increased mortality, highlighting needed interventions.

Introduction: Stroke-related mortality poses significant challenges in the US. Increased at-home deaths since COVID-19 pandemic prompted changes in the provision of end-of-life care. Question: What were the settings of stroke deaths in the US during COVID-19 pandemic? Methods: Decedent-level mortality data from death certificates in CDC repository were obtained for the year 2020 (pandemic) and 2019 (comparison). Demographic data include age, sex, race/ethnicity, education, marital status, and place of stroke death, including inpatient, outpatient/emergency room (ER), hospice/nursing facilities (H/NF), and at-home. Multivariable logistic regression models assessed demographic impact on stroke mortality by place-of-death, yielding odds ratios (OR) with significance threshold of p<0.05. Results: A total of 5,400 and 5,712 stroke-related deaths occurred in 2019 and 2020, respectively. During COVID-19, decedents >65 years were more likely to die in H/NF (OR 10.05, p<0.001) but less likely in outpatient/ER (OR 0.32, p<0.001) or at home (OR 0.57, p=0.007) compared to those <35 years. High education level did not significantly influence the place of death than having high school diploma or less (p>0.05). Males were more likely to die at home (OR 1.38, p<0.001) but less likely as inpatient (OR 0.79, p<0.001) than females. Hispanic decedents had a higher likelihood of inpatient death (OR 1.22, p=0.041) but less likely to die in H/NF (OR 0.55, p<0.001) compared to non-Hispanic decedents. Compared to White decedents, Black decedents were more likely to die in outpatient/ER (OR 1.44, p=0.018), while American Indian decedents were more likely to die as inpatient (OR 3.12, p=0.005). Asian/Pacific Islander decedents had a higher chance of inpatient death (OR 1.47, p=0.002) but a lower likelihood of dying in H/NF (OR 0.61, p=0.010). Married decedents were more likely than singles to die as inpatient (OR 1.37, p=0.001) or in outpatient/ER (OR 1.99, p<0.001), but less likely to die in H/NF (OR 0.61, p=0.002) or at home (OR 0.56, p<0.001). Conclusion: Our analysis revealed the influence of demographics on the settings of stroke fatalities during the COVID-19 pandemic. Further investigation is needed to determine contributing factors.

Background Hyperlipidemia is a major cardiovascular disease (CVD) risk factor, but there are limited data on its mortality trends in CVD over time. We assessed annual hyperlipidemia‐related CVD mortality trends in the United States, including the COVID‐19 pandemic's impact. Methods and Results Mortality data were obtained from the Centers for Disease Control and Prevention repository between 1999 and 2020 among patients ≥15 years old, using International Classification of Diseases, Tenth Revision ( ICD‐10 ) codes for hyperlipidemia (E78.0–E78.5) and CVD (I00–I99). Age‐adjusted mortality rates (AAMRs) per 1 000 000 population were standardized to the 2000 US population. Log‐linear regression models were used to evaluate mortality shifts. Average annual percentage change from 1999 to 2019 was used to project 2020 AAMRs, estimating pandemic‐attributed excess deaths. From 1999 to 2020, 483 155 hyperlipidemia‐related CVD deaths occurred. Despite a general CVD mortality decline, hyperlipidemia‐related CVD AAMRs rose from 36.33 in 1999 to 99.77 in 2019. Ischemic heart diseases (AAMR 49.39) were the leading cause, whereas hypertension had the highest mortality increase (average annual percentage change +10.23%). Mortality rates were higher in men (AAMR 104.87) and non‐Hispanic (AAMR 82.49), and rural populations (AAMR 89.98). Highest mortality was observed in Black populations (AAMR 84.35), those ≥75 years old (AAMR 646.45), and Western US regions (AAMR 96.88). During the first pandemic year, deaths exceeded projections by 10.55%, with notable increases among ages 35 to 75 (14.23%), Hispanic (17.96%), Black (14.82%), and urban (11.68%) groups. Conclusions Hyperlipidemia‐related CVD mortality has risen over the past 2 decades, further heightened by the COVID‐19 pandemic, with higher impact on men, Black Americans, the older population, and rural residents. Further study is needed to understand contributing factors and mitigate disparities.