Risultati per: Recenti considerazioni in tema di vaccinazione anti-COVID

Circulation, Volume 150, Issue Suppl_1, Page A4148010-A4148010, November 12, 2024. Background:Severe COVID-19 infection has been associated with acute respiratory distress syndrome (ARDS) and right ventricular (RV) dysfunction. In this study, we report associations between echocardiographic findings and laboratory markers that portend RV failure in patients with ARDS secondary to COVID-19 infection on ECMO.Methods:A single-center study was conducted in the cardiovascular ICU of our institute. A retrospective chart review was performed on 41 patients with COVID-19 on ECMO between March and October 2020. Twenty-two patients had transthoracic echocardiograms (TTE) completed while on ECMO (VV-ECMO = 19, VA-ECMO = 3). Echocardiograms (echo) were obtained pre-cannulation, during ECMO, and post-ECMO decannulation. RV parameters analyzed included tricuspid annular plane systolic excursion (TAPSE), basal diastolic RV diameter, right ventricular fractional area of change (RV FAC), and S’. Laboratory values including BNP, CRP, D-dimer, ferritin, fibrinogen, lactate and troponin were analyzed for correlation with echo findings.Results:TAPSE was significantly lower in deceased patients (1.9± 0.4cm vs 1.3±0.6 cm, P< 0.05). RV FAC and S’ were also lower in the deceased group. TAPSE while on ECMO showed a positive association with peak D-dimer levels in survivors and a negative association in deceased patients. Peri-ECMO fibrinogen and CRP levels were negatively associated with TAPSE in survivors while fibrinogen showed positive association in deceased patients. LDH peak, fibrinogen initial and lactate peak were higher in the deceased[ZQ1] group. There is a trend of increased RV basal diameter in the deceased group (3.9±0.9 vs 4.2±0.9 cm). Last troponin levels were negatively associated with basal diastolic RV diameter while on ECMO in deceased patients.Conclusion:Preservation of RV longitudinal contractility, as reflected by TAPSE, may play an important role in the survival of COVID-19 patients on ECMO. Laboratory markers such as LDH, D-dimer, fibrinogen and lactate may have prognostic value in predicting RV failure. Further studies are required to determine if early initiation of therapies to improve RV systolic function in COVID-19 ECMO patients with ARDS improves outcomes.

Circulation, Volume 150, Issue Suppl_1, Page A4142935-A4142935, November 12, 2024. Background.Post-COVID syndrome is related to a multisystem disorder that affects in part the cardiovascular system. This disease involves symptoms, and conditions that continue or develop after acute COVID-19. SARS-CoV-2 infection of immune and endothelial cells are associated with NETosis, microthrombosis and endothelial dysfunction that could persist several weeks after acute phase of infection. Damaged endothelial cells can expose the vessel pro-coagulant area leading to platelet and neutrophil clumps. Increased levels of circulating endothelial cells (CECs) have been described as biomarkers for cardiovascular diseases. Therefore, we hypothesize that CECs and microthrombosis are potential biomarkers of vascular dysfunction in Long COVID.Methods.A cross-sectional study was conducted at the Miami VA long COVID clinic. Long COVID cases and controls were recruited according to WHO definition for long COVID. A total of 23 patients and 7 controls were included in this study. Blood samples were collected in Heparin and Sodium Citrate tubes. Cell immunophenotyping and NETosis markers (MPO) were quantified on a Cytek Aurora spectral flow cytometer system. Microclots (CD62P+PAC-1+) and platelet response were assessed by flow cytometry and response to Adenosine di-phosphate (ADP), respectively. A ttest was used for statistical analysis. Differences were considered significant when p < 0.05.Results.The age and gender were similar between cases and controls while their symptom score was significantly different. There was a significant increase in the number of CECs (CD31+CD309+CD45-CD133-) in Long COVID cases. MPO expression in neutrophils (CD11b+CD66b+CD15+) and classical monocytes (CD14+CD16-) was significantly higher in Long COVID. Microclots were significantly elevated, and the platelet aggregation response was dysregulated in Long COVID.Conclusions.CECs and microthrombosis including NETosis are present in Long COVID and may serve as potential biomarkers or causative mechanisms for vascular dysfunction.

Circulation, Volume 150, Issue Suppl_1, Page A4145096-A4145096, November 12, 2024. Introduction:Postural orthostatic tachycardia syndrome (POTS) and Inappropriate sinus tachycardia (IST) are common manifestations of cardiovascular dysautonomia (CVAD) in patients with post-COVID-19 syndrome. Studies regarding differences between post-COVID-19 POTS and post-COVID-19 IST have been sparse and based on small patient series.Aims:To examine clinical differences between POTS and IST in patients with post-COVID-19 syndrome.Methods:A cross-sectional observational study based on a dataset of patients diagnosed with post-COVID-19 syndrome and POTS/IST, at Karolinska University Hospital, Stockholm in 2020-2023, was performed. Data was retrieved using patients’ medical records. ANOVA, chi-square tests and Fisher’s exact tests were used for analysis.Results:A total of 200 patients diagnosed with post-COVID POTS/IST (ICD-10 codes, I.498 + U.099) were included (female, 85%) and divided into a POTS-group (n=110) and IST-group (n=90). Sixty-one patients (31%) met the diagnostic criteria of both and were included in the IST-group. The mean ages were 38 years for the POTS-group and 42 years for the IST-group (p=0.027). Hypertension was more common within the IST-group (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 A4140201-A4140201, November 12, 2024. Introduction:While implantable cardiac defibrillators (ICD) decrease sudden cardiac death, disparities in ICD use remain. The COVID-19 pandemic created strains on the US healthcare system that may have exacerbated these disparities.Methods:Using the US NCDR registry of primary and secondary prevention ICD implants, we compared sex, racial and ethnic disparities for 239,014 patients, aged 19-90 years, grouped into three time intervals from 2016 to 2022: Pre-COVID, COVID and Post-COVID. Centers without consistent reporting were excluded, as were patients with incomplete sex, race or ethnicity data. ICD implantation rates were compared using a Poisson regression model with interaction tests for sex, race and ethnicity by time window to see if disparities changed within this period. Implant rates by indication were also assessed.Results:Overall ICD implants decreased over the study period (Figure 1) with an average monthly rate of 3271 in the first three months of 2016 declining to 2334 in the last three months of 2022 (p=0.017). Disparities in ICD implantation for women, racial and ethnic minorities were observed pre-COVID and persisted (Table 1). Average ICD implant rates during these time periods varied by race with predominance in White patients. While gaps in ICD implant persisted, the disparities did not worsen during COVID-19 by sex, race or ethnicity (p-value for interactions were 0.79; 0.47; and 0.095, respectively). There was a more significant decrease in primary prevention ICD compared to secondary prevention ICD (p

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 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 A4141078-A4141078, November 12, 2024. Background:Social determinants of health (SDOH),exacerbated by the COVID-19 pandemic, impact access to medical care.Research Question:Through descriptive qualitative inquiry, we explored barriers and facilitators to pediatric cardiology ambulatory care for patients with complex congenital heart disease (CCHD) during COVID-19.Methods:English- and Spanish-speaking caregivers of children with CCHD who missed at least one clinic visit during the first year of COVID-19 were recruited, with purposeful sampling of Black and Hispanic patients. Semi-structured interviews inquired about the impact of the pandemic, experience with telehealth and communication with providers, effects of SDOH, and perceived impact of their race/ethnicity on care. Content analysis summarized information and identified themes.Results:Interviews (19) were conducted: 14 in English (6 Black, 2 Hispanic, 2 White, 3 mixed race, 1 American Indian), and 5 in Spanish (5 Hispanic). Overarching themes were: Barriers to Care, Facilitators of Returning/Staying in Care, Impact of Diagnosis, and Recommendations for Improvement (Image 1). Despite challenges with finances and transportation, as well as concern for infection risk, the majority of caregivers preferred in-person care over telehealth due to physical exam, diagnostic testing, and interpersonal connection with providers. SDOH challenges including housing, transportation, and employment contributed to missing care. For some families, social vulnerability was exacerbated by their child’s CCHD diagnosis and then again by COVID-19. Universally, caregivers felt their child’s race/ethnicity did not affect the care they received. Spanish-speaking caregivers expressed their primary language as a barrier to care and their desire for more thorough explanations and teach-back from the medical team.Conclusion:While SDOH can hinder access to ambulatory cardiac care, trusting relationships with care teams facilitated engagement. Social vulnerability contributed to dynamic situations for families, especially during COVID-19, highlighting the need for routine SDOH assessment and support. English- and Spanish-speaking caregivers echoed the same challenges. Race/ethnicity was not felt to impact care received.

Circulation, Volume 150, Issue Suppl_1, Page A4129709-A4129709, November 12, 2024. Background:The current unmet needs for aspirin usage in atherosclerosis lie in its short half-life and narrow indication for anti-platelet effects. Daily aspirin intake is mandatory, and the anti-inflammatory effects of aspirin for atherosclerosis have not successfully translated to clinical practice. Nanoparticles remain in circulation for 2-3 days, with a large portion being cleared by splenic monocytes, which are known to inherently target inflamed sites.Hypothesis:By altering the pharmacokinetics of aspirin through loading into nanoparticles, aspirin-nanoparticles can exert prolonged anti-platelet effects and target atherosclerosis sites via monocyte carriers for anti-inflammatory effects, resulting in dual therapies.Methods:Splenic monocytes were loaded with aspirin-liposomes and co-cultured with endothelial cells or platelets to examine the interactions between them using high-resolution time-series microscopy. Prolonged anti-platelet effects and targeted anti-inflammatory effects of aspirin were validated in intact mice and hindlimb ischemia models, respectively. Furthermore, the dual therapies of aspirin-liposomes were validated in an atherosclerotic mouse model created by partial carotid ligation and a western diet in apoE gene knock-out mice.Results:When splenic monocytes were loaded with aspirin-liposomes, they emitted extracellular vesicles (EVs) loaded with aspirin towards endothelial cells or platelets. As inflamed cells upregulate caveolin expression, they uptake an increased amount of transferred EVs compared to non-inflamed cells. Additionally, aspirin-liposomes showed prolonged circulation time and increased splenic accumulation compared to aspirin itself, resulting in prolonged anti-platelet effects ( >7 days) and targeted anti-inflammatory effects at inflamed sites. Compared to the daily oral aspirin group in the atherosclerosis model, the weekly intravenous aspirin-liposome group showed superior therapeutic effects, including attenuated systemic and local inflammation and patent lumen in atherosclerotic sites.Conclusion:Aspirin-nanoparticles can exert prolonged anti-platelet effects combined with targeted anti-inflammatory effects, resulting in superior therapeutic effects on atherosclerosis.

Circulation, Volume 150, Issue Suppl_1, Page A4113573-A4113573, November 12, 2024. Introduction/Background:Cardiovascular and neurological diseases develop in a significant proportion of COVID-19 patients. Minimally invasive tools to predict outcome after SARS-CoV-2 infection would enable personalized healthcare, potentially easing the disease burden. We showed that blood levels of the long noncoding RNA lymphoid enhancer-binding factor-1 antisense 1 (LEF1-AS1) predict COVID-19 in-hospital mortality.Hypothesis:LEF1-AS1 is associated with long-term clinical outcomes of COVID-19.Aim:Test the capacity of LEF1-AS1 to predict neuro-cardio-vascular outcomes post-SARS-CoV-2 infection.Methods/Approach:We enrolled 104 primo-infected COVID-19 patients aged 18+ recruited from April to December 2020 in the PrediCOVID national cohort for which 12-month follow-up data were available (Ethics Committee approvals 202003/07 and 202310/02-SU-202003/07). Whole blood samples were collected at baseline and expression levels of LEF1-AS1 were assessed by quantitative PCR.Results/Data:Of the 104 patients, 35 had at least one neurological symptom and one cardiovascular symptom at month 12. Levels of LEF1-AS1 at baseline were lower (p=0.019) in patients who developed neurological and cardiovascular symptoms as compared to patients who did not. Lower LEF1-AS1 was associated with symptoms development with an odds ratio of 0.48 (95% CI 0.28-0.83) from logistic regression model adjusted for age, sex, comorbidities and disease severity at baseline. Addition of LEF1-AS1 to a clinical model including age, sex, comorbidities and baseline severity yielded an incremental predictive value as attested by an increased AUC from 0.79 to 0.83 (likelihood ratio test p=0.005), a net reclassification index of 0.54 (p=0.007) and an integrated discrimination improvement of 0.08 (p=0.009).Conclusion:Blood levels of LEF1-AS1 predict 12-month neurological and cardiovascular outcomes of COVID-19 patients. This needs to be validated in larger populations.

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 A4142129-A4142129, November 12, 2024. Background:The clinical impact of neutrophil to lymphocyte ratio (NLR) and right ventricular (RV) dysfunction on clinical outcomes in COVID-19 have not been studied in the often-underrepresented Indonesian population.Aim:To investigate the role of NLR and RV dysfunction in Indonesian patients hospitalized for COVID-19.Methods:A retrospective cohort study was conducted at a COVID-19 referral hospital in Indonesia. We included all adult patients hospitalized with COVID-19 between April 2020 – April 2021 who had transthoracic echocardiography (TTE) during admission. Clinical data were extracted from electronic medical records. TTE variables were defined according to the American Society of Echocardiography criteria. All statistical analyses were conducted using the SPSS software. This study was approved by the IRB at Universitas Indonesia (#2022-01-135).Results:A total of 488 patients were included – 29 with and 459 without RV dysfunction. The mean age of the population was 54.8 (SD ± 13.5), and 42% were females. Receiver operating curve analysis and Youden’s J statistics were used to determine the optimal NLR cut-off (Figure 1). An NLR > 4.79 was considered elevated, and had a sensitivity of 70.6% and a specificity of 80.6% in predicting severe – critical COVID-19. A high NLR (OR: 3.38, P = 0.02) and LV systolic dysfunction (OR: 9.76, P < 0.01) were independently associated with RV dysfunction. In multivariate cox regression analysis, older age (HR: 1.02, P = 0.01), obesity (HR: 1.85, P < 0.01), chronic kidney disease (HR: 1.69, P = 0.01), high NLR (HR: 2.75, P < 0.01), and RV dysfunction (HR: 2.07, P = 0.02) increased the risk of 30-day mortality.Conclusions:In Indonesian patients hospitalized with COVID-19, A high NLR is predictive of severe – critical COVID-19 and is associated with RV dysfunction. A high NLR at admission and RV dysfunction independently increase the risk of 30-day mortality in hospitalized Indonesian adults with COVID-19.

Circulation, Volume 150, Issue Suppl_1, Page A4146209-A4146209, November 12, 2024. Background:The management of recurrent pericarditis has evolved to include colchicine and novel anti-interleukin-1 agents, given the limited efficacy of traditional NSAIDs and corticosteroids. We conducted a pairwise and network meta-analysis to evaluate the efficacy and safety of colchicine and anti-IL-1 agents in recurrent pericarditis.Methods:We conducted a comprehensive search on various databases and registries, such as MEDLINE (via PubMed), Embase, and Cochrane Central Register of Controlled Trials (CENTRAL), to retrieve relevant RCTs. We used STATA version 17 to perform meta-analyses under a random-effects model and applied the empirical Bayes (Paule and Mandel) variance estimator to dichotomous data. We performed a network meta-analysis with a placebo/standard therapy group as the comparator in MetaXL 5.3 using the Generalized Pairwise Modeling based on the Bucher method.Results:A total of 6 RCTs were included in the meta-analysis. The risk of pericarditis recurrence was significantly decreased by colchicine (RR 0.46, 95% CI 0.37-0.58) and anti-IL-1 agents (RR 0.13, 95% CI 0.03-0.54) compared to placebo or standard therapy. Colchicine significantly decreased the risk of treatment failure (RR 0.42, 95% CI 0.31-0.57) but did not have a significant impact on the risk of adverse events (RR 1.06, 95% CI 0.31-3.62). No significant risk of adverse events (RR 2.16, 95% CI 0.66-7.01) or serious adverse events (RR 1.01, 95% CI 0.23-4.41) was observed with anti-interleukin-1 agents. Colchicine was also associated with a decreased risk of pericarditis-related rehospitalization (RR 0.26, 95% CI 0.10-0.70). The network meta-analysis showed that anti-IL-1 agents (RR 0.13, 95% CI 0.05 to 0.30) were associated with a greater reduction in pericarditis recurrence than colchicine (RR 0.46, 95% CI 0.37 to 0.59). All anti-interleukin-1 agents significantly decreased the risk of pericarditis recurrence, with comparable efficacies among the different agents.Conclusion:Colchicine and anti-IL-1 agents significantly reduced the risk of pericarditis recurrence with the anti-IL-1 agents demonstrating greater efficacy. Further, high-powered, large-scale RCTs that directly compare various treatment options are needed to confirm or refute our findings.

Circulation, Volume 150, Issue Suppl_1, Page A4143130-A4143130, November 12, 2024. Background:Chagas disease (CD), caused by Trypanosoma cruzi, leads to chronic Chagas cardiomyopathy, one of the deadliest and most debilitating cardiopathies. Benznidazole (BZN) is the medication of choice in Brazil, effective during the acute phase, but its efficacy during the chronic phase is unclear.Aims:To determine if BZN treatment reduces cardiac inflammation and fibrosis via magnetic resonance imaging (MRI) and its association with the circulating immune profile of CD patients.Methods:We collected cardiac images and plasma from a cohort of CD patients before and 6 months after BZN treatment. We performed: 1- MRI of left and right ventricle function and volumes, T1 (MAPA T1), T2 mapping (MAPA T2), and extracellular volume (ECV); 2- analysis of soluble factors including cytokines, chemokines, and growth factors using the Bio-48 Plex Human Cytokine Screening Panel kit. Changes in the variables MAPAT1, MAPAT2, and ECV were used to classify the improvement of CD patients undergoing BZN therapy. Patients with the greatest reductions in these variables post-therapy, compared to pre-therapy, were considered to have greater clinical improvement. Thus, patients were divided into two groups: greater clinical improvement (GCI; n=15) and smaller clinical improvement (SCI; n=15) (figure 1). Data were analyzed using GraphPad Prism 8 software with statistical significance set at p

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 A4146462-A4146462, November 12, 2024. Background:Recurrent ventricular tachycardia (VT) is common in patients with ischemic heart disease (IHD), even with anti-arrhythmic drugs on board. While ICDs can abort VT episodes, ICD shocks can be painful. Ablation therapy can reduce the number of ICD shocks and interventions, but the optimal ablation technique is still uncertain.Purpose:We aim to review the clinical efficacy and safety of catheter ablation vs anti-arrhythmic drugs in patients with IHD.Methods:We conducted comprehensive searches across PubMed, CENTRAL, WOS, Scopus, and EMBASE until Feb 2024. Pooled data were reported using risk ratio (RR) for dichotomous outcomes and mean difference (MD) for continuous outcomes, along with a 95% confidence interval (CI). This systematic review and meta-analysis was registered with PROSPERO ID: CRD42024551760.Results:We included seven RCTs with a total of 836 patients. Patients who underwent ablation had a lower risk of VT storm compared to those who received anti-arrhythmic drugs [RR: 0.65 with 95% CI (0.49, 0.87), P < 0.01), Compared to anti-arrhythmic drugs, the catheter ablation group also required less Appropriate ICD therapy [RR: 0.72 with 95% CI (0.57, 0.90), P < 0.01), and fewer ICD shocks [ RR: 0.64 with 95% CI (0.45, 0.93), P = 0.02). However, there was no significant difference in VT recurrence [RR: 0.91 with 95% CI (0.74, 1.14), P = 0.42), all-cause mortality [RR: 0.87 with 95% CI (0.65, 1.16), P = 0.34), or any adverse events [RR: 0.96 with 95% CI (0.50, 1.84), P = 0.91) between the two groups.Conclusion:Our meta-analysis showed that catheter ablation was associated with a reduction in VT storm, ICD therapy, and ICD shocks. However, when compared to anti-arrhythmic drugs, catheter ablation for VT in IHD patients did not appear to afford any significant survival advantage.