Desai, Rupak

Background: Impaired left ventricular (LV) global longitudinal strain (GLS) is associated with worse outcomes in patients with severe aortic stenosis (AS). However, its prognostic value in patients with moderate AS is still unknown. The aim of this study is to investigate the impact of LV GLS on outcomes of patients with moderate AS. Methods: PubMed/Medline, Scopus, and Google Scholar databases were systematically reviewed to find relevant studies through June 2023 reporting data on the relationship between the LV GLS and long-term mortality in patients with moderate AS. Binary random effects models were used to estimate pooled odds ratios (OR) and 95% confidence intervals (CI). I2 statistics were used to interpret heterogeneity, with I2>75% indicating substantial inter-study variation. Leave-one-out meta-analysis was performed to evaluate the effect of each study on the overall estimate. A p<0.05 was considered statistically significant. Results: A total of 172 studies were reviewed, and 4 studies between 2000-2023 were included in our meta-analysis with a median follow-up of 48.5 months and GLS cut-off varying from 11% to 16%. The pooled univariate analysis revealed a significant association between LV GLS and long-term mortality in patients with moderate AS with a pooled OR of 2.02 (95CI 1.04-3.93) p=0.04, I2=94.25%. The multivariate analysis, after adjusting for overall modifiable risk factors, yielded significant results, with an adjusted odds ratio (aOR) of 1.56 (95CI 1.21-2.01) p<0.01, I2=89.48%. Sensitivity analysis, using leave-one-out method, demonstrated robustness and stability of the results with aOR 1.56 (95CI 1.21-2.01) p<0.01. Conclusions: In patients with moderate AS, impaired LV GLS is associated with an increased risk for all-cause mortality. If further randomized studies confirm the prognostic ability of impaired GLS, moderate AS can be redefined, and GLS can be considered in determining the optimal timing for aortic valve intervention.

Background: The association of prediabetes (pDM) with stroke risk in non-diabetic geriatric patients with AF is unclear. The findings from this analysis contribute to a better understanding of the interrelation between pDM, AF, and stroke, highlighting the need for targeted interventions and risk management strategies in this vulnerable population. Methods: Utilizing the 2019 National Inpatient Sample and employing ICD-10 CM coding, we identified all non-diabetic geriatric admissions with AF. Patients were categorized into two groups: pDM+ and pDM-. The primary outcomes of interest were stroke incidence, odds and potential sex disparities in odds as a risk factor for stroke in geriatric patients with AF. Results: Of the total 218130 non-diabetic geriatric AF admissions, 3525(1.6%) had pDM. The pDM+ cohort was relatively younger (median 75 vs 77 years), and often consisted of females (57.9%; p<0.359), white (80.1%), and from the higher-income quartile (28.5%); (p<0.001). The preDM+ group had significantly higher rates of complicated HTN (50.2 vs 43.6%), hyperlipidemia (66.4 vs 53.7%), obesity (30.2 vs 13.6%), PVD (15.3 vs 9.9%), stroke (1.4 vs 0.8%). After adjusting for baseline characteristics/comorbidities, the pDM+ cohort with AF admissions showed a higher rate and significantly higher odds of stroke vs the pDM- cohort (1.4% vs. 0.8%, OR 2.00, 95%CI 1.06-3.77; p=0.033). On subgroup analyses, males had a stronger association (OR 5.48, 95%CI 1.43-21.02; p=0.013) vs. females. Conclusion: Our research revealed that geriatric patients hospitalized with AF who had concomitant pDM were twice likely to develop stroke, with male preponderance. Further research is warranted to develop tailored interventions to mitigate the risk of stroke in AF patients with pDM.

Aim: Studies in the past have linked obesity as a risk factor for atrial fibrillation (AF). However, there is a paucity of data on this influence in young adult males. This meta-analysis aims to evaluate and stratify the association between BMI and AF among young men. Methods: PubMed, Scopus, and Google Scholar databases were systematically reviewed for studies reporting long term-incidence of atrial fibrillation in young male adults (18-49 years) with obesity (BMI>30 kg/m 2 ), and overweight BMI (BMI 20-25 kg/m 2 ). Random effects models were used for the meta-analyses and subgroup analyses. I 2 statistics were used to identify (>50%) heterogeneity. A sensitivity analysis was performed using leave-one-out method. Results: Six studies with a total of 21,856,538 individuals were screened, out of which 6,732,531 young males with higher BMI and obesity were evaluated for the risk of Atrial fibrillation for a median follow-up duration of 6.3 years (3.3 - 29 years range). South Korean and Japanese studies together constituted 99.86% of the study population. Most commonly associated comorbidities were hypertension, diabetes mellitus type 2, dyslipidemia and smoking. The unadjusted HR showed a significant association between overweight (BMI 25-30) [OR:1.42, (95%CI:1.28-1.58, I 2 : 75.86%; p< 0.01] and obesity (BMI >30) and AF [OR: 2.02, (95%CI: 1.77-2.29, I 2 :64.3%; p=0.02] in young adult males. After multivariable analysis, the association remained significant for overweight [OR:1.22, 95%CI: 1.14-1.32, I 2 : 82.74%; p< 0.01] and obesity [OR:1.48, 95%CI: 1.29-1.71, I 2 : 90.43%; p< 0.01]. Sensitivity analysis indicated that no single study unduly influenced the pooled estimates. Conclusion: This meta-analysis revealed that higher BMI (overweight and obese) in young males is associated with an increased long-term risk of AF over a median follow-up duration of 6.3 years.

Introduction: Racial, regional, and income disparities have been shown to impact cardiovascular outcomes in postmenopausal women with SARS-CoV-2. Addressing these disparities can improve healthcare equity and outcomes for this vulnerable population. Methods: A retrospective cohort study utilized data from the National Inpatient Sample (NIS)-2020 to examine female patients aged over 55 years who were admitted to hospitals in 2020. The study focused on primary endpoints, specifically major cardiac and cerebrovascular events (MACCE) including all-cause mortality, AMI, cardiac arrest, and stroke. Multivariable logistic regression was used to evaluate the association between demographic factors and cardiovascular outcomes, after controlling for confounding variables. Results: Of the total 547,225 postmenopausal women hospitalized with SARS-CoV-2, 19.8% had MACCE. Racial disparities were significant, as Native American, Hispanic, Asian and African American women exhibited higher rates of MACCE compared to Caucasian women, with odds ratios (OR) of 1.63 (95% CI: 1.33-1.98, p<0.001), 1.25 (95% CI: 1.18-1.32, p<0.001), 1.17 (95% CI: 1.07-1.28, p<0.001), and 1.11 (95% CI: 1.06-1.17, p<0.001), respectively. Regional variations were also observed, with the Northeast region demonstrating a higher prevalence of cardiovascular complications compared to the West (OR: 1.22, 95% CI: 1.14-1.32, p<0.001). Additionally, income level played a significant role, as women from the first- and second-income quartiles had higher MACCE rates compared to those in the fourth quartile (OR: 1.19, 95% CI: 1.12-1.26, p<0.001; OR: 1.09, 95% CI: 1.03-1.15, p<0.001). Conclusions: This study reveals significant racial, regional, and income disparities in cardiovascular outcomes among postmenopausal women with SARS-CoV-2. Targeted interventions and further research are necessary to improve healthcare equity and outcomes in vulnerable populations.

BACKGROUND: COVID-19 patients are at higher risk of major adverse cardiovascular and cerebrovascular events (MACCE). The underpinning effect of cancer in COVID-19 enhances this risk. Currently, we have limited nationwide data on MACCE events in cancer patients hospitalized with COVID-19. This study aims to identify demographic and clinical predictors of MACCE in this population. METHODS: We identified COVID-19-hospitalized cancer patients using the 2020 National Inpatient Sample. MACCE, inpatient mortality, and baseline demographics and comorbidities were assessed. Predictors of MACCE were calculated using multivariable regression analysis. RESULTS: Of 68,755 cancer patients hospitalized with COVID-19, 24% had MACCE, and 20.4% died in the hospital, with both outcomes being more significant among males, Asian or Pacific Islanders, and those in the fourth income quartile (all p<0.05). Comorbidities exhibited statistically significant associations for MACCE (all p<0.05). Higher adjusted odds of MACCE were found in age groups >65 (OR 4.17; 95% CI 2.94-5.91) and 45-64 (OR 1.77; 95% CI 1.26-2.48) than 18-44 years, self-paying patients (OR 2.15) than Medicare, urban non-teaching (OR 1.25) and urban teaching hospitalizations (OR 1.24) than rural, prior MI (OR 1.36; 95% CI 1.11-1.66), CKD (OR 1.37; 95% CI 1.22-1.54), severe sepsis (OR 2.75; 95% CI 2.42-2.13), respiratory failure (OR 2.67; 95% CI 2.41-2.96), and mechanical ventilation (OR 12.15; 95% CI 10.40-14.21). Compared to the Northeast, hospitals in the Midwest, West, and South had lower odds of MACCE. Obesity, tobacco use, hyperlipidemia, and prior chemotherapy also exhibited lower odds of MACCE (all p<0.05) (Table. 1). CONCLUSION: Our study using contemporary large-scale data found a concerning burden and higher risk of MACCE, particularly in the elderly, patients with CKD, prior MI, severe sepsis, respiratory failure, and mechanical ventilation.

Background: Catheter ablation (CA) is an effective and potentially curative treatment in patients with atrial fibrillation (AF). However, the recurrence of AF following CA treatment in cases of persistent atrial fibrillation (PeAF) remains a significant concern. This study aims to establish a correlation between the peak flow velocity of the left atrial appendage (LAAV) and the AF recurrence post-CA for PeAF. Methods: PubMed/Medline, EMBASE, and SCOPUS databases were systematically reviewed to find studies through June 2023 reporting data on the relationship between the LAAV and the recurrence of AF in individuals who have undergone CA for PeAF. Binary random effects models were used to estimate pooled outcomes. I2 statistics were used to interpret heterogeneity, with I 2 >75% indicating substantial inter-study variation. Leave-one-out meta-analysis was performed to evaluate the effect of each study on the overall estimate. A p<0.05 was considered statistically significant. Results: A total of 9 studies between 2000-2023 were included in our meta-analysis. The pooled univariate analysis revealed no association between LAAV and recurrence of AF in individuals who have undergone CA with a pooled OR of 1.09 (95CI 0.96-1.22) p=0.45, I2=86.59%. The multivariate analysis, after adjusting for overall modifiable risk factors, yielded significant results, with an adjusted odds ratio (aOR) of 1.41 (95CI 1.15-1.74) p<0.01, I2=85.24%. Sensitivity analysis, using the leave-one-out method&nbsp;demonstrated the robustness and stability of the results, indicating that no single study disproportionately influenced the overall&nbsp;findings with aOR 1.41 (95CI 1.15-1.74) p<0.01. Conclusions: This meta-analysis revealed that low LAAV is associated with high-risk of AF recurrence following CA. Identifying a specific subgroup of individuals at high risk of AF recurrence with the help of pre-CA LAA velocity will facilitate the early institution of alternative treatment strategies.

Introduction: Lipoprotein (a) [Lp(a)] has been recognized as an independent predictor of atherosclerotic cardiovascular disease (ASCVD). However, there is limited data on the association between Lp(a) levels and risk of recurrent myocardial infarction (MI)/coronary revascularization in patients with acute coronary syndrome (ACS) who underwent percutaneous coronary intervention (PCI). Methods: PubMed/Medline, EMBASE, and Scopus were searched for studies evaluating the association of Lp(a) with recurrent ischemic events from the year 2000-2023. Patients with coronary artery disease or ACS with baseline Lp(a) who underwent PCI or coronary stenting and had outcomes as recurrent MI/ coronary revascularization were included. Random effects models and I 2 statistics were used for pooled hazard ratios (HR), odds ratio (OR), and heterogeneity assessment. A leave-one-out sensitivity analysis was also performed. Results: The initial search resulted in 651 articles, of which nine studies with 27964 patients (mean age 58-66 years, 74.79% male) were included. Of the nine studies, six were retrospective and three prospective. Mean±SD/Median (IQ) follow-up duration was four years [range 2-7 years]. There was an increased risk of recurrent MI/coronary revascularization associated with Lp(a) ≥30 mg/dL (OR, 1.44, 95% CI: 1.09-1.89, I 2 = 79.24%, p=0.009) (Fig 1a) and Lp(a) ≥10-30 mg/dL (OR, 1.19, 95% CI: 1.009-1.416, I 2 = 0%, p=0.039) (Fig 1b), but failed to reach significance with Lp(a) as a continuous variable (OR, 1.004, 95% CI: 0.998-1.009, I 2 = 85.02%, p=0.221) (Fig 1c). Leave-one-out sensitivity analysis showed an equivalent result for various Lp(a) cutoffs (Fig 1a, 1b, and 1c). Conclusions: Our meta-analysis suggests an association of raised Lp(a) with increased risk of recurrent MI/coronary revascularization in ACS patients who underwent PCI.

Background: The obesity paradox is a phenomenon observed in certain chronic diseases, particularly cardiovascular diseases, where individuals with obesity have better outcomes compared to those of normal weight. We aimed to study how COVID-19 affects MACCE results in metabolically healthy obese (MHO) individuals who have a BMI >30. Methods: Using the National Inpatient Sample (2020) and appropriate ICD-10-CM codes, we identified adult hospitalizations with COVID-19 and grouped them into two cohorts with and without obesity (MHO+ and MHO-, omitting hypertension, diabetes, and hyperlipidemia). MACCE (all-cause inpatient mortality, cardiac arrest, including ventricular fibrillation, and stroke) in COVID-19-related hospitalizations was the primary outcome. Results: 84,145 (21.9%) of 397,040 COVID-19 hospitalizations were MHO+. The MHO+ group was younger (median 43 vs 52 years), female (56.9% vs. 49.4%), black (19.4% vs 15.1%), Hispanic (35.2% vs 30.5%), and Native American (1.5% vs 1.2%) (p<0.001). Tobacco use disorder, past PCI, prior VTE, depression, chronic pulmonary disease, hypothyroidism, and other thyroid problems were more common in MHO+ patients (p<0.05). MHO+ patients were discharged routinely (76% vs. 66.7%) but stayed longer (5 days vs 4 days). After correcting for baseline variables, the MHO+ cohort had a lower rate of MACCE than the MHO- cohort (8% vs. 11.3%, OR 0.81, 95CI 0.74-0.89, p<0.001), and lower all-cause mortality (6.6 % vs 9.4%) compared to the MHO- cohort. On subgroup analysis, females had lower odds (aOR 0.79) than males (aOR 0.82), older individuals ≥65 years old had lower odds (aOR 0.71) vs 45-64 (aOR 0.79), and race- wise comparison, whites had lower odds of MACCE events (aOR 0.76). Conclusions: MHO+ patients had lower odds of MACCE events. The MHO group was younger, suggesting higher cardiorespiratory fitness, which could explain the obesity paradox and reduced odds of MACCE outcomes.

Introduction: Cognitive impairment has a significant impact on functional recovery and quality of life in stroke patients. Given the emerging role of high sensitivity C-reactive protein (hs-CRP) as a biomarker for predicting post-stroke cognitive decline, we conducted a meta-analysis to investigate this association. Methods: We systematically searched SCOPUS, PubMed, and Google Scholar databases until May 2023 using relevant keywords. Pooled effect sizes were estimated using a random-effects model, and I2 statistics and leave-one-out sensitivity analysis were performed to assess heterogeneity and robustness, respectively (p-value < 0.05 considered significant). Results: The final analysis included five studies spanning the years 2018-2023, with a total sample size of 9,625 patients, all from China, and predominantly male (57.85%). The median follow-up period was 3 months. Patients with higher hs-CRP levels had a higher burden of smoking, alcohol consumption, hypertension, diabetes, hyperlipidemia, and lower education levels. The meta-analysis revealed an increased risk of cognitive impairment after ischemic stroke associated with higher hs-CRP levels (adjusted odds ratio [aOR] 1.15; 95% CI: 1.01-1.30, p - 0.03). Substantial heterogeneity was observed among the studies (I2 = 79.23%; p < 0.01). However, a leave-one-out sensitivity analysis confirmed the robustness of the findings, indicating that no single study strongly influenced the overall results. Conclusion: This meta-analysis provides evidence of an association between elevated hs-CRP levels and cognitive impairment following ischemic stroke. However, the limited number of studies, mainly from a specific population, highlights the need for further research to enhance the generalizability of these findings.

Background: Limited research has focused on the rising incidence of major adverse cardiac and cerebrovascular events (MACCE) among young women (aged 18-44) with at least one traditional cardiovascular disease risk factor (CVD), especially in rural hospital settings. We aimed to address this research gap by providing insights into the burden of CVD in this population. Methods: Using data from the National Inpatient Sample (2019), we identified young women (aged 18-44) with at least one cardiovascular risk factor admitted to rural hospitals. Baseline demographics, comorbidities, and outcomes were assessed, including MACCE and all-cause mortality. Multivariable logistic regression was performed, adjusting for age, race, income, and comorbidities. Results: Among 179,410 young women, MACCE occurred in 2,455 individuals (1.4%), with varying rates among racial groups: whites (1.2%), blacks (2.4%), Hispanics (1.3%), Asian or Pacific Islanders (API) (2%), Native Americans (NA) (1.6%), and others (1%). All-cause mortality was observed in 385 women (0.2%), with rates of 0.2% for whites and 0.4% for blacks. Blacks had twice the event rates of MACCE, and all-cause mortality compared to whites. Comorbidities and substance abuse were associated with MACCE (P<0.001). In higher-income households, multivariable analysis adjusted for confounders revealed significantly higher odds of MACCE in blacks (OR 1.23, 95% CI 0.11-14.08), API (OR 4.48, 95% CI 1.06-18.93), and NA (OR 10.22, 95% CI 1.03-101.50) compared to whites. In contrast, mortality rates were lower for Hispanics than whites (OR 0.24, 95% CI 0.02-3.80) (all p < 0.001) (Table 1). Conclusion: In higher-income households, greater odds of MACCE were noted among blacks, API, and NA compared to whites. Future research should focus on understanding factors contributing to these disparities and developing interventions to prioritize equitable healthcare access for rural women across diverse ethnic and income classes.