Risultati per: COVID-19 grave collegato all’invecchiamento cerebrale

Circulation, Volume 150, Issue Suppl_1, Page A4140218-A4140218, November 12, 2024. Background:Prior data indicated a reduction in mortality among STEMI (ST-elevation myocardial infarction) patients with COVID-19 from 2020 to 2021 in the United States.Objective:To describe national trends and determinants of outcomes among STEMI patients with COVID-19 from 2020-2021.Methods:A retrospective cohort study was conducted using the 2020-2021 Nationwide Inpatient Sample of adults diagnosed with STEMI and COVID-19, assessing in-hospital mortality and the use of percutaneous coronary intervention (PCI), mechanical ventilation, and mechanical circulatory support (MCS).Results:The study included 6,195 STEMI patients with COVID-19 and revealed stable mortality (18% in 2020 to 21% in 2021,p=0.06). Demographic shifts occurred, with White patients increasing from 52% in 2020 to 66% in 2021 (p

Circulation, Volume 150, Issue Suppl_1, Page A4137534-A4137534, November 12, 2024. Background/Aim:We previously reported that late gadolinium enhancement (LGE) on cardiac MRI (CMR) was as high as 82% in pediatric patients with COVID-19 vaccine-associated myocarditis (C-VAM) despite mild clinical symptoms and normal left ventricular function. As LGE can be a harbinger for future adverse events including arrhythmias, heart failure or sudden cardiac death, we sought to identify predictors for LGE in C-VAM, specifically assessing troponin as a screening marker for C-VAM patients at risk for myocardial scarring who could then be referred for a confirmatory CMR with LGE.Methods:In this longitudinal multicenter retrospective observational study across 38 U.S. member institutions of theMyocarditisAfterCOVIDVaccination (MACiV) study network, 333 patients with C-VAM based on CDC criteria were included from April 2021 to November 2022. Data collected included demographics, laboratory values, clinical and cardiac imaging characteristics and outcomes. Using logistic regression, troponin levels at presentation were assessed as a log transformed continuous variable and categorized into tertiles.Results:The C-VAM patients were predominantly white (67%) adolescent males (91%, 15.7± 2.8 years). There were 216/333 (65%) patients who had both a reported troponin value and had a CMR. On univariate analysis, elevated troponin increased the probability of having LGE (OR=1.29, 95% CI: 1.06, 1.58, p=0.012). Even after controlling for age, race, sex, number of vaccine doses and left ventricular ejection fraction (OR=1.32, 95% CI: 1.06, 1.65, p=0.013). Patients >15 years compared to those ≤15 years of age were 2.94 (95% CI: 1.28, 6.75, p=0.011) times more likely to have LGE at presentation. Patients with troponin levels in the highest tertile compared to lowest tertile were 2.66 times (95% CI: 1.04, 6.83, p=0.042) more likely to have LGE along with a greater involvement > 4 AHA myocardial segments with LGE (p=0.004)Conclusions:Higher troponin values are associated with presence of late gadolinium enhancement on cardiac MRI in patients with COVID-19 vaccine-associated myocarditis. Troponin levels at presentation may facilitate risk stratification and function as a screening tool to identify those C-VAM patients with the greatest likelihood of myocardial scarring, who may benefit from undergoing CMR for tissue characterization.

Circulation, Volume 150, Issue Suppl_1, Page A4119613-A4119613, November 12, 2024. Introduction:Percutaneous Coronary Intervention (PCI) is recommended for reperfusion of patients presenting with ST-segment myocardial infarction (STEMI) within 90 minutes. In this study, we sought to identify differences in PCI timing based on gender, race and ethnicity in the pre- and post-COVID era.Methods:We collected retrospective data on 760 patients admitted with STEMI at our quaternary academic medical center from 2018-2022. We defined our binary outcome as time to PCI less than 90 minutes, and adjusted for transfers from outside hospitals. We utilized univariate logistic regression analysis to analyze the association of demographic, clinical, and cardiac catheterization details on our outcome. We then utilized multivariate logistic regression analysis to determine the association of our covariates of interests with time to PCI. The logistic regression model was adjusted for collinearity which were deemed not significant.Results:Among our study population, COVID did not significantly impact whether or not a patient had a diagnostic cardiac catheterization on univariate analysis (OR 2.68, 95% CI 0.61-18.40, p=0.23). However, the post-COVID era was significantly associated with a delayed time to PCI on multivariate analysis [OR 1.62, 95% CI 1.04-2.55, p=0.035) [Figure 1]. In addition, females were 1.8x more likely to have a delayed PCI than males on multivariate regression [OR 1.80, 95% CI 1.10-2.95, p= 0.019) [Figure 1]. Interestingly, on multivariate analysis, females were more likely to have delayed reperfusion in the pre-COVID era (OR 2.92, 1.29-6.77,p= 0.01) but not the post-COVID era (OR 1.54, 0.78-3.06,p=0.2134). Patients in the post-COVID era had increased risk of having their culprit coronary not revascularized on multivariate analysis (OR 2.85, 1.2-8.03, p= 0.03).Conclusions:At our center, COVID did not significantly impact cardiac catheterization rates. However, COVID was significantly associated with delayed reperfusion timing and not revascularizing culprit vessels. Females were much more likely to have a delayed PCI than males in the pre-COVID era which was not seen following COVID-19.

Circulation, Volume 150, Issue Suppl_1, Page A4140585-A4140585, November 12, 2024. 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 p65 years were more likely to die in H/NF (OR 10.05, p

Circulation, Volume 150, Issue Suppl_1, Page A4140179-A4140179, November 12, 2024. Background:COVID-19 has led to significant global morbidity and mortality. Its impact on patients with hypertrophic cardiomyopathy (HCM) remains unclear.Aim:To evaluate the impact of COVID-19 infection on the readmission rate and associated outcomes in patients with HCM.Methods:In a retrospective study using the 2020 National Readmission Database, we collected data on patients with HCM who were admitted with the principal diagnosis of COVID-19. The primary outcome was the all-cause 30-day readmission rate. Secondary outcomes were common causes of readmission, in-hospital mortality, and resource utilization.Results:In 2020, a total of 1503 patients with HCM (mean age 67 years, 49% female) were hospitalized for COVID-19. Among them, 1216 (80.9%) were discharged alive and 180 (14.8%) were readmitted within 30 days. In-hospital mortality for readmissions remained relatively unchanged compared with index admissions (15.4% vs 19.0%, P=.34; Table 1). The most common cause of readmission was COVID-19 infection (38%), followed by other infections (11%) and acute kidney injury (4%). The most common cardiac cause for readmission was paroxysmal atrial fibrillation (2%). The mean length of stay for readmissions was relatively similar to the index admission (7.8 vs 9.9 days, P=.43). The mean hospital charge associated with readmission was $84,976 (total hospital charges were $15.2 million). The mean hospital cost associated with readmissions was $24,603 (total hospital costs were $4.4 million). A higher Charlson comorbidity index score was the main independent predictor of higher readmission rates.Conclusions:This study highlights the significant burden of COVID-19 on patients with HCM. Despite efforts to reduce readmission rates, a considerable percentage of patients experienced readmission within 30 days, largely attributed to COVID-19 infection. Close follow-up after discharge could prevent such readmission and the associated high mortality rates.

Circulation, Volume 150, Issue Suppl_1, Page A4125636-A4125636, November 12, 2024. Background:Postural orthostatic tachycardia syndrome (POTS) is a prevalent cardiovascular disorder after COVID-19 infection. Although POTS is characterized by the presence of sinus tachycardia, other hemodynamic disturbances including blood pressure (BP) regulation, remain largely unexplored.Aims:We investigated BP changes using 24-hour ambulatory-BP-monitoring in patients with new-onset POTS after COVID-19 compared with pre-pandemic healthy controls.Methods:We performed a case-control study in 100 verified COVID-19 patients with new-onset POTS (mean age 40.0±12.9 years, 85% women) diagnosed by positive head-up tilt-testing versus 100 healthy controls (mean age 45.0±14.6 years, 70% women) from a population-based cohort with negative active standing test, no history of syncope, orthostatic intolerance, or endocrine disease. We analyzed 24-hour Systolic BP (SBP) and hypotensive SBP episodes (

Circulation, Volume 150, Issue Suppl_1, Page A4117883-A4117883, November 12, 2024. Introduction/Background:Cardiovascular symptoms appear in a high proportion of patients in the few months following a severe SARS-CoV-2 infection. Non-invasive methods to predict disease severity could help personalizing healthcare and reducing the occurrence of these symptoms.Research Questions/Hypothesis:We hypothesized that blood long noncoding RNAs (lncRNAs) and machine learning (ML) could help predict COVID-19 severity.Goals/Aims:To develop a model based on lncRNAs and ML for predicting COVID-19 severity.Methods/Approach:Expression data of 2906 lncRNAs were obtained by targeted sequencing in plasma samples collected at baseline from four independent cohorts, totaling 564 COVID-19 patients. Patients were aged 18+ and were recruited from 2020 to 2023 in the PrediCOVID cohort (n=162; Luxembourg), the COVID19_OMICS-COVIRNA cohort (n=100, Italy), the TOCOVID cohort (n=233, Spain), and the MiRCOVID cohort (n=69, Germany). The study complied with the Declaration of Helsinki. Cohorts were approved by ethics committees and patients signed an informed consent.Results/Data:After data curation and pre-processing, 463 complete datasets were included in further analysis, representing 101 severe patients (in-hospital death or ICU admission) and 362 stable patients (no hospital admission or hospital admission but not ICU). Feature selection with Boruta, a random forest-based method, identified age and five lncRNAs (LINC01088-201, FGDP-AS1, LINC01088-209, AKAP13, and a novel lncRNA) associated with disease severity, which were used to build predictive models using six ML algorithms. A naïve Bayes model based on age and five lncRNAs predicted disease severity with an AUC of 0.875 [0.868-0.881] and an accuracy of 0.783 [0.775-0.791].Conclusion:We developed a ML model including age and five lncRNAs predicting COVID-19 severity. This model could help improve patients’ management and cardiovascular outcomes.

Circulation, Volume 150, Issue Suppl_1, Page A4145209-A4145209, November 12, 2024. Background:Acute decompensated heart failure accounts for an increasing proportion of hospitalizations in the United States and is linked to high readmission and 30-day mortality rates. Prior studies suggest up to 17% mortality rate within 30 days for patients admitted with heart failure.Research Questions/Hypothesis:We present an analysis characterizing patients who experienced mortality within 30 days of admission at a large safety net hospital following the COVID-19 pandemic.Methods/Approach:A retrospective review was conducted for all heart failure admissions of patients >18 years of age admitted to the coronary care unit (CCU) at Los Angeles General Medical Center from January to December 2021 after the peak of the COVID-19 pandemic. Demographics, insurance information, drug use, medication use, heart failure etiology, and CCU interventions were indexed. The primary outcome was all-cause mortality.Results/Data:172 patients were identified during the study period. 10% of patients died within 30 days of admission, of which 94% died during the same admission. Of patients who died during index admission, 88% had heart failure with reduced EF. None of these patients were on all four pillars of guideline-directed medical therapy (GDMT), with 33% on one or no GDMT medications.There was not a statistically significant difference in mortality rate when comparing those with active stimulant use 5/60 (8%) to those without active illicit drug use 12/112 (11%) (RR 0.79, 95% CI, p= 0.64).9/17 (53%) patients died of refractory cardiogenic shock, 5/17 (29%) were found in cardiopulmonary arrest of unknown etiology while undergoing treatment for acute decompensated heart failure. Two patients (12%) died of septic shock while 1/17 (5%) died of hemorrhagic shock related to chronic liver disease.Conclusion(s)The COVID-19 pandemic exacerbated significant healthcare inequalities, especially for urban underserved populations leading to late presentations of disease and worse outcomes, however, based on our data the overall inpatient mortality rate remained largely similar to pre-pandemic values.

Circulation, Volume 150, Issue Suppl_1, Page A4145068-A4145068, November 12, 2024. Background:The COVID-19 global pandemic was the third leading cause of mortality in the US in 2020 and is associated with numerous complications, including myocarditis. Diagnosis of COVID-19 myocarditis can involve costly and invasive procedures. In addition, asymptomatic myocarditis could place people at risk for arrhythmias and sudden cardiac death.Objective:To use machine learning (ML) of serum proteomics to distinguish asymptomatic COVID-19 positive volunteers with and without myocarditis.Approach and Results:In 2020, for a cohort of 20 previously healthy 18–23-year-old individuals diagnosed with COVID-19 two weeks after the diagnosis, CMR was performed to assess for evidence of cardiac inflammation and serum samples were obtained the same day (10 were diagnosed as myocarditis positive and 10 negative) We performed proteomic analysis using the SomaScan proteomics assay from SomaLogic. The data were passed through an initial feature selection process of 1000 rounds of bootstrapped multivariate logistic regression using L1-regularization to introduce sparser feature utilization. The top 25 features (largest absolute log-odds) were utilized for a final logistic regression analysis. The feature selection step was optimized to have an average receiver operating characteristic area under the curve (ROCAUC) of 83.29% over 1000 iterations, but the final model utilizing only 25 proteins achieved an average ROCAUC of 99.58%. This method produced 22 proteins with significant odds-ratios for COVID-19 myocarditis (OR 95%CI excluding 1), of particular interest are those involved in inflammatory control and injury response mechanisms. Increases in the heat shock protein DNAJB11 (1.19 [1.10, 1.27]) and calponin-2 (1.17 [1.10, 1.25]), as well as decreases IL1RN (0.88 [0.83, 0.93]) were associated in increased likelihood of CMR diagnosed myocarditis (Fig 1A). Furthermore, a UMAP projection of the data using the 22 significant features yielded a clear visual distinction between those with and without COVID-19 myocarditis via CMR (Fig 1B).Conclusion:Utilizing ML on serum proteomic screenings of asymptomatic young COVID-19 patients, we can differentiate between those with CMR myocarditis positive and negative patients.

Circulation, Volume 150, Issue Suppl_1, Page A4145229-A4145229, November 12, 2024. Background:Stress-induced cardiomyopathy (CM) is a form of acute transient left ventricular dysfunction triggered by underlying physiological stress which often leads to increased morbidity and mortality. Coronavirus disease 2019 (COVID-19) is thought to cause stress-induced CM due to overwhelming systemic inflammation. There is paucity of data regarding the impact of COVID-19 on in-hospital outcomes of patients with stress-induced CM. The purpose of this study is to investigate in-hospital outcomes, including mortality and cardiogenic shock, of patients with concomitant COVID-19 and stress-induced CM.Methods:We queried the 2020 USA National Inpatient Sample (NIS) Database in conducting this retrospective cohort study. We identified hospitalized adult patients ≥ 18 years old with stress-induced CM and concomitant COVID-19 using ICD-10 CM codes. We used a survey multivariable logistic and linear regression analysis to calculate adjusted odds ratios (aORs) for outcomes of interest. A p value of

Circulation, Volume 150, Issue Suppl_1, Page A4138301-A4138301, November 12, 2024. Background:Hyperlipidemia (HLD) is a major risk factor for cardiovascular disease (CVD). Little is known regarding temporal variation in CVD mortality related to HLD. The COVID-19 pandemic added complexity to factors influencing CVD mortality.Question:What are the yearly trends and impact of the COVID-19 pandemic on HLD-related CVD mortality in the United States?Methods:Mortality and demographic data for adults were obtained from CDC repository from 1999-2020, using ICD-10 codes HLD (E78.0-E78.5) and CVD (I00-I99). Age adjusted mortality rates (AAMR) per 1,000,000 population was standardized to the 2000 US population. Log-linear regression models evaluated mortality shifts. Average annual percentage change (AAPC) from 1999-2019 was used to calculate projected AAMR in 2020, subsequently compared to actual 2020 death rates to estimate pandemic-attributed excess deaths.Results:A total of 483,155 HLD-related CVD deaths were recorded between 1999-2020. Despite the CVD mortality decline in general population, HLD-related CVD AAMR rose from 36.33 [95% CI, 35.52-37.13] in 1999 to 99.77 [98.67-100.87] in 2019. Ischemic heart diseases (AAMR 49.39) were the most common causes of death while hypertension had the highest annual mortality increase (AAPC +10.23%) in populations with HLD. Higher HLD-related CVD mortality was observed in males (AAMR 104.87) than females (AAMR 61.93), in those ≥75 years (AAMR 646.45) than 35-75 years (AAMR 54.11), in non-Hispanic (NH) (AAMR 82.49) than Hispanic (AAMR 58.98) populations, and in rural (AAMR 89.98) than urban (AAMR 78.94) regions. NH Black populations (AAMR 84.35) and Western US regions (AAMR 96.88) had the highest HLD-related CVD. The first year of COVID-19 pandemic resulted in 10.55% excess HLD-related CVD death, with the most prominent increase in the 35-75 years age group (14.23%), Hispanic (17.96%), Black (14.82%), and urban (11.68%) populations.Conclusions:Our study revealed an increase in HLD-related CVD mortality which was exacerbated by the COVID-19 pandemic. Higher CVD mortality disproportionately affected males, Black, elderly (≥75 years), and rural populations with HLD. Further research is needed to validate our findings and identify contributing factors.

Circulation, Volume 150, Issue Suppl_1, Page A4142506-A4142506, November 12, 2024. Introduction:Myocarditis has been reported after mRNA-based COVID-19 vaccination, but the immune mechanisms remain unclear. This study aimed to identify the proteome-based immunopathogenesis of post-vaccination myocarditis compared to viral myocarditis in the pre-COVID-19 era.Methods:Proteomic analysis of right ventricle (RV) biopsy specimens was performed in myocarditis patients (pre-pandemic viral myocarditis: n=3, post-vaccination myocarditis: n=3) and controls (normal endomyocardial biopsy specimens of heart transplant recipients, n=4) using mass spectrometry. Differentially expressed proteins were analyzed with CIBERSORTx, Gene Ontology (GO) analysis, and Ingenuity Pathway Analysis (IPA). To examine the relationship between the SARS-CoV-2 spike protein and post-vaccination myocarditis, immunohistochemistry (IHC), mass spectrometry analysis of spike protein, and activation-induced marker (AIM) assay in T cells from RV samples were conducted.Results:In the proteomic analysis, 6,861 proteins were identified. Post-vaccination myocarditis showed increased extracellular matrix formation and cardiac fibrosis. Both pre-pandemic and post-vaccination myocarditis had elevated pro-inflammatory cytokine activities. However, post-vaccination myocarditis exhibited higher expression of interferon-alpha (IFNα) and pattern recognition receptor activation, including TLR3 and TLR7. Pre-pandemic myocarditis showed higher activation of the complement system, neutrophils, and NK cells, whereas post-vaccination myocarditis showed increased Th2 cell activation and classical macrophage activation. Spike protein and related T-cell activation were not detected.Conclusion:The immune activation in myocarditis after COVID-19 mRNA vaccination may be triggered by the mRNA in the vaccine via an IFNα-driven immune response, leading to autoimmune-like features. Further studies are necessary to validate whether these proteins correlate with clinical characteristics.

Circulation, Volume 150, Issue Suppl_1, Page ASa907-ASa907, November 12, 2024. Background:Different from the negative impact of COVID-19 pandemic on outcomes after out-of-hospital cardiac arrest (OHCA) collapsed before emergency medical service (EMS) arrival, there was a report suggested that COVID-19 pandemic did not affect outcomes after OHCA witnessed by EMS personnel. However, no large-scale studies have examined the impact of COVID-19 pandemic after EMS-witnessed OHCA, focusing on favorable neurological outcomes.Research Questions:Does COVID-19 pandemic affect favorable neurological outcomes after EMS-witnessed OHCA?Aims:To assess COVID-19’s impact on favorable neurological outcomes after EMS-witnessed OHCA.Methods:We performed an interrupted time series analysis (ITSA) with a prospective, nationwide, population-based registry in Japan to assess trends of incidence and favorable neurological outcome (Cerebral Performance Category 1 or 2) at 30 days with adult EMS-witnessed OHCA between pre-pandemic (January 2016-March 2020) and pandemic (April 2020-December 2021) periods. Subgroup analyses were performed by stratifying regions by infection spread status defined by whether a state of emergency has been declared. To assess whether there are differences in trends between areas with and without COVID-19 spread, we performed a controlled ITSA between the two areas.Results:We identified 58,315 patients with adult EMS-witnessed OHCA, 41,112 during the pre-pandemic period and 17,203 during the pandemic period. There was no significant increase in the incidence of EMS-witnessed OHCA during the pandemic period (0.03 per 100,000 person-years; 95% confidence interval [CI], –0.02 to 0.08; p = 0.21). Favorable neurological outcome significantly decreased (relative risk [RR], 0.80; 95% CI, 0.71 to 0.91; p < 0.01). In subgroup analysis, favorable neurological outcome significantly decreased in areas with COVID-19 spread (RR, 0.67; 95% CI, 0.56 to 0.81; p < 0.01), while there was no significant difference in areas without COVID-19 spread (RR, 0.91; 95% CI, 0.77 to 1.07; p = 0.24). A controlled ITSA showed that favorable neurological outcome significantly decreased in areas with COVID-19 spread compared to without COVID-19 spread (RR, 0.77; 95% CI, 0.60 to 0.98; p = 0.04).Conclusion:Unlike previous studies, our research with a nationwide, population-based registry showed that COVID-19 pandemic influenced favorable neurological outcome in EMS-witnessed OHCA. This trend appears to be more pronounced in areas with widespread infection.

Circulation, Volume 150, Issue Suppl_1, Page A4143094-A4143094, November 12, 2024. Background:Peripartum cardiomyopathy (PPCM) is defined as a dilated form of cardiomyopathy that occurs within the last month of pregnancy and up to 5 months postpartum. The etiology is likely multifactorial and viral infections may account for up to a third of PPCM cases. We aimed to examine the impact of concurrent COVID-19 infection on in-hospital outcomes of women with PPCM.Methods:National Inpatient Sample was queried to identify women admitted with PPCM with COVID-19 (group A) between the years 2020-2021 and without (group B) concurrent COVID-19 infection between the years 2016-2019.Results:A total of 19135 women were admitted with PPCM between the years 2016-2021, of whom 420 (2%) had concurrent COVID-19 infection. Group A PPCM followed a seasonal pattern with peak incidence in fall (43%) followed by winter (31%), spring (13%) and summer (13%) [p=0.002]. Group A was more often Hispanic (20.3% -vs- 10.8%, p

Circulation, Volume 150, Issue Suppl_1, Page A4146890-A4146890, November 12, 2024. Background:COVID-19 has introduced new complexities in the management of patients undergoing the transcatheter edge-to-edge repair (TEER) procedure of the mitral valve. This study compares outcomes of mitral valve TEER in patients with and without COVID-19, utilizing data from the National Inpatient Sample (2020-2021).Methods:We conducted a retrospective cohort study on 23,465 patients without COVID-19 and 85 patients with COVID-19 undergoing mitral valve TEER. Multivariate logistic regression was employed to compare outcomes, adjusting for potential confounders. Primary outcomes included mortality and major complications, while secondary outcomes encompassed specific procedural complications.Results:Patients with COVID-19 were younger (mean age: 73.176 vs. 76.178 years, p-value

Circulation, Volume 150, Issue Suppl_1, Page A4126581-A4126581, November 12, 2024. Background:Coronavirus Disease-19 (COVID-19) pandemic had a significant impact on emergent and elective treatment strategies in patients with cardiovascular disease. We aimed to examine the impact of COVID-19 on septal reduction therapy (SRT) in hypertrophic cardiomyopathy (HCM).Methods:National Inpatient Sample 2019-2021 was queried to identify patients with HCM and SRT using appropriate ICD codes. Temporal trends for SRT were obtained before and after COVID-19 outset.Results:There was a significant decline in the number of SRT from 2019 to 2020 (1505 vs. 1180, p