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.
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Abstract 4117883: Long noncoding RNAs and machine learning to improve cardiovascular outcomes of COVID-19
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.
Abstract 4146209: Comparative Efficacy and Safety of Colchicine and Anti-Interleukin-1 Agents in Recurrent Pericarditis: A Pairwise and Network Meta-analysis of Randomized Controlled Trials
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.
Abstract 4140381: Does Induction Therapy with Anti-thymocyte Globulin Decrease First-year Intimal Thickening in Patients Experiencing Ischemia-Reperfusion Injury Immediately after Heart Transplantation?
Circulation, Volume 150, Issue Suppl_1, Page A4140381-A4140381, November 12, 2024. Introduction:Post-heart Transplant (HTx) ischemia-reperfusion injury (IRI) is associated with an increased risk of rejection and cardiac allograft vasculopathy (CAV). It has been suggested that induction therapy with anti-thymocyte globulin (ATG) may protect against immediate (in the first 30 days) IRI post-HTx. Additionally, ATG has been associated with reduced first-year coronary plaque progression as assessed by intravascular ultrasound (IVUS) among HTx recipients. Whether ATG can decrease first-year intimal thickening in patients experiencing IRI has not been investigated. Therefore, we aim to examine the clinical outcomes of patients who received ATG induction therapy and experienced immediate IRI post-HTx.Methods:Between 2010 and 2020, we assessed 241 patients undergoing HTx and were noted to have immediate post-HTx IRI on their endomyocardial biopsy. Patients were divided into those who received ATG (n=105) induction therapy vs. non-receivers (n=136). In our program, ATG is given to sensitized patients or those with baseline serum creatinine >2.0 mg/dL to delay the initiation of tacrolimus, which may introduce bias to this study. Endpoints included 1-year freedom from any treated rejection (ATR), acute cellular rejection (ACR, grade 2R or 3R), and antibody-mediated rejection (AMR, pAMR grade ≥1, 3-year survival, and 3-year freedom from non-fatal major adverse cardiac events (NF-MACE, including myocardial infarction, new congestive heart failure, percutaneous coronary intervention, implantable cardioverter defibrillator/pacemaker implant, and stroke). IVUS was performed at 4-8 weeks (baseline) and at 1 year post-HTx. Studied IVUS parameters included first-year average change in maximum initial thickness (MIT) and change in MIT ≥0.5mm.Results:Among patients with immediate post-HTx IRI, patients who received ATG induction therapy (57% were sensitized pre-HTx) remained at high immunological risk at 1 year with significantly lower freedom from ATR and AMR but had similar 3-year survival as compared to those who did not receive ATG (Table 1). No between-group differences were observed in the average 1-year change in MIT or the percentage of patients with ≥0.5mm change in MIT.Conclusion:Induction therapy with ATG did not appear to decrease first-year intimal thickening in patients experiencing IRI immediately post-HTx. Future studies are warranted to mitigate immunological complications and reduce coronary plaque progression in high-risk HTx patients.
Abstract 4119613: Evaluation of Gender, Racial and Ethnic Differences in Time to PCI in the Pre and Post Covid-19 Era
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.
Abstract 4145229: Outcomes among hospitalized patients with stress-induced cardiomyopathy and concomitant Coronavirus Disease 2019 (COVID-19) infection: Insight from the US National Inpatient Sample
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
Abstract 4142935: Circulating endothelial cells and microthrombosis as markers of vascular dysfunction in Long COVID
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.
Abstract 4140585: Shifting in the settings of stroke fatalities during the COVID-19 pandemic
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
Abstract 4145209: Death on Admission- Characterizing 30-Day Mortality in Patients Admitted to the Coronary Care Unit for Heart Failure Following the COVID-19 Pandemic
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.
Abstract 4129709: Aspirin-Nanoparticle for Dual Therapies: Targeted Anti-Inflammatory and Prolonged Anti-Platelet Effects for Atherosclerosis
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.
Abstract 4113573: Long Noncoding RNAs to Predict COVID-19 Neuro-Cardio-Vascular Outcomes
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.
Abstract 4143186: Prior Statin Therapy Reduces Inflammation and Improves Outcomes in Patients Hospitalized for Covid-19: A Prospective Multicenter Cohort Study
Circulation, Volume 150, Issue Suppl_1, Page A4143186-A4143186, November 12, 2024. Introduction:Statins are lipid-lowering agents with anti-inflammatory effects. Data surrounding the benefits of statins in patients with coronavirus disease 2019 (Covid-19) are conflicting. We sought to better understand the impact of statins in the context of Covid-19-related inflammation.Methods:We leveraged the International Study of Inflammation in Covid-19, a prospective multicenter cohort study of patients hospitalized specifically for Covid-19 between February 1, 2020 and October 30, 2022. Participants underwent systematic assessment of biomarkers of inflammation. We used logistic regression modeling and inverse probability-of-treatment weighting (IPTW) to examine the association between prior statin use and the composite outcome of in-hospital death, need for mechanical ventilation, and need for renal replacement therapy.Results:A total of 4,464 patients were included in the study, of whom 1,364 (27.5%) were taking a statin prior to admission. There were 1,061 primary outcome events, including 540 deaths, 854 mechanical ventilation and 313 renal replacement therapy. Amongst biomarkers of inflammation, statin use was associated solely with lower levels of soluble urokinase plasminogen activator receptor (suPAR) after adjusting for known confounders. In multivariable logistic regression analysis, statin use was associated with lower odds of the composite outcome (adjusted odds ratio (aOR) 0.63, 95%CI[0.53-0.76]) compared to patients not on statins. Findings were consistent with IPTW (aOR 0.92, 95%CI [0.89- 0.95]). The proportion of the effect of statin on the primary outcome mediated by suPAR was estimated at 31.5%.Conclusion:Prior statin use is associated with improved outcomes and lower inflammation as measured by suPAR levels in patients hospitalized for Covid-19.
Abstract 4142847: Dnmt3a modifies the anti-inflammatory effect of the IL-6 classical pathway in macrophages to change the atherosclerosis burden.
Circulation, Volume 150, Issue Suppl_1, Page A4142847-A4142847, November 12, 2024. Background:Clonal hematopoiesis of indeterminate potential (CHIP) can contribute to cardiovascular risk. The Interleukin-6 receptor (IL6R) polymorphism (D358A) modifies the risk of coronary artery diseases among CHIP carriers in human cohorts. However, the effects of the IL6R D358A on IL-6 pathways are discordant with the canonical expectation, that the classical IL-6 signaling pathway is anti-inflammatory while the trans-signaling pathway is pro-inflammatory.Hypothesis:DNMT3A, the most frequent driver gene for CHIP, changes the inflammatory consequence of IL-6 classical signaling from anti-inflammatory to pro-inflammatory to worsen atherosclerosis.Method:We investigated if an anti-IL6R antibody modifies atherosclerosis associated with myeloidDnmt3adeficiencyin vivo.Ldlr-/-mice were transplanted with 10% bone marrow cells fromDnmt3a-/-mice/90% of wild-type (WT) cells compared with 100% WT transfer. After engraftment, mice consumed a high-fat diet, and received an anti-IL6R antibody for 10 weeks to assess aortic root atherosclerosis vs. control antibody treatment. We also investigated the differences between IL-6 classical- vs trans-signaling pathways and whetherDnmt3adeficiency in bone marrow-derived macrophages (BMDM) modifies the IL-6 pathways. RNA-seq was performed in BMDM stimulated with IL-6, which activates the classical IL-6 pathway, or IL-6/IL6R conjugate, which activates trans-signaling. We further compared IL-6 vs control stimulation betweenDnmt3a-/-and WT BMDM using RNA-seq, and the major finding was replicated by quantitative PCR. In addition, IL-1β was quantified in the conditioned medium.Result:Anti-IL6R antibody treatment reduced atherosclerosis in the mice with myeloidDnmt3adeficiency. IL4R expression rose significantly in BMDM stimulated by IL-6 compared to IL-6/IL6R conjugate. IL4R induction by IL-6, but not the IL-6/IL6R conjugate, fell significantly inDnmt3a-/-BMDM compared to WT. IL-1β secretion declined with IL-6 stimulation and was higher in IL6R deficient BMDM, but IL-6 stimulation and deletion ofIL6Rdid not affect IL-1β secretion inDnmt3a-/-BMDMs.Conclusion:These data suggest that DNMT3A tonically limits the IL-6 classical pathway to limit atherogenesis in an IL-4 signaling-dependent manner. These findings promote understanding of the CHIP-atherosclerosis association and inform the development of management strategies for CVD risk in CHIP carriers.
Abstract 4140179: Impact of COVID-19 on Patients With Hypertrophic Cardiomyopathy: Causes, Predictors, and Inpatient Mortality of 30-Day Readmission
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.
Abstract 4141387: Clinical Study on The Blood Pressure Changes in Patients with VEGFR-TKI-induced Hypertension During Anti-tumor Treatment
Circulation, Volume 150, Issue Suppl_1, Page A4141387-A4141387, November 12, 2024. Background and Objective:To investigate the differences in Ambulatory Blood Pressure Monitoring (ABPM) parameters in patients affected by VEGFR-TKI and tumors, and to summarize the relationship between VEGFR-TKI, tumors, and blood pressure.Methods:43 patients who received VEGFR-TKI anti-tumor treatment and developed induced hypertension were selected for ABPM. Additionally, 94 cases of tumor-associated hypertension and 96 cases of primary hypertension were randomly selected for comparison. The ambulatory blood pressure-related parameters between the VEGFR-TKI-related hypertension group and the tumor-associated hypertension group, as well as between the tumor-associated hypertension group and the primary hypertension group, were analyzed.Results:Compared with the tumor-associated hypertension group, the VEGFR-TKI-related hypertension group showed higher 24-hour average diastolic blood pressure [(85.37±13.21) vs. (80.41±10.71) mmHg,t=2.332,P=0.021], daytime average diastolic blood pressure [(85.98±13.19) vs. (80.69±10.98) mmHg,t=2.452,P=0.015]. Multivariate linear regression analysis revealed that after adjusting for tumor type and BMI, the use of VEGFR-TKI remained independently associated with nighttime average diastolic blood pressure (B=5.921,P=0.021). Compared with the primary hypertension group, the tumor-associated hypertension group exhibited significantly reduced nighttime systolic blood pressure decline rate [(1.10±9.01) vs. (6.33±6.87),t=-4.508,P
Abstract 4140218: Trends and Determinants of Outcomes in STEMI Patients with COVID-19: A Nationwide Analysis, 2020-2021
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