Clinical Characteristics and Outcomes of Adults With a History of Heart Failure Hospitalized for COVID-19

Intrinsic Factors Behind the Long-COVID: V. Immunometabolic Disorders

The complex link between COVID-19 and immunometabolic diseases demonstrates the important interaction between metabolic dysfunction and immunological response during viral infections. Severe COVID-19, defined by a hyperinflammatory state, is greatly impacted by underlying chronic illnesses aggravating the cytokine storm caused by increased levels of Pro-inflammatory cytokines. Metabolic reprogramming, including increased glycolysis and altered mitochondrial function, promotes viral replication and stimulates inflammatory cytokine production, contributing to illness severity. Mitochondrial metabolism abnormalities, strongly linked to various systemic illnesses, worsen metabolic dysfunction during and after the pandemic, increasing cardiovascular consequences. Long COVID-19, defined by chronic inflammation and immune dysregulation, poses continuous problems, highlighting the need for comprehensive therapy solutions that address both immunological and metabolic aspects. Understanding these relationships shows promise for effectively managing COVID-19 and its long-term repercussions, which is the focus of this review paper.

Heart Failure with Reduced Ejection Fraction and COVID-19, when the Sick Get Sicker: Unmasking Racial and Ethnic Inequities During a Pandemic

Minoritized racial and ethnic groups have the highest incidence, prevalence, and hospitalization rate for heart failure. Despite improvement in medical therapies and overall survival, the morbidity and mortality of these groups remain elevated. The reasons for this disparity are multifactorial, including social determinant of health (SDOH) such as access to care, bias, and structural racism. These same factors contributed to higher rates of COVID-19 infection among minoritized racial and ethnic groups. In this review, we aim to explore the lessons learned from the COVID-19 pandemic and its interconnection between heart failure and SDOH. The pandemic presents a window of opportunity for achieving greater equity in the health care of all vulnerable populations.

Evaluation of cardiac biomarkers among dead and alive COVID-19 patients in Southwest Iran

Introduction

The need to understand the global burden of heart failure following the pandemic has arisen as a result of an increase in papers that support cardiac involvement in coronavirus disease 2019 (COVID-19). Therefore, the current study aims to provide a more thorough explanation of the function and use of cardiac biomarkers in dead and alive COVID-19 patients.

Methods

All patients who were referred and admitted to Razi Hospital, Ahvaz, Iran, from March 2020 to March 2021 with a diagnosis of COVID-19 were included in this study.

Results

During the study period, 753 patients were hospitalized with a diagnosis of COVID-19. In total, 157 cases died from the disease (case fatality rate: 20.84%). Pre-existing cerebrovascular accidents (CVAs) were more frequent in dead cases (14% vs. 6.4%). It was observed that atrial fibrillation was normal in most of the alive cases in comparison to dead patients (P value = 0.014). Moreover, it was seen that CRP, IL-6, and procalcitonin were increased in dead patients. Also, an association was found between ejection fraction (EF) value and death rate (P value = 0.035). The higher frequency of positive troponin occurring in the dead group suggested a possible adverse effect on the mortality rate (22.3% vs. 16.4%).

Conclusion

Adults with COVID-19 commonly have cardiac manifestations, including symptoms of myocardial damage. In light of the recognized utility of troponin, ejection fraction, procalcitonin, IL-6, and CRP in COVID-19 patients with suspected myocardial damage, we should develop a safe and precise diagnostic algorithm that may contain patients' clinical histories and additional variables that may facilitate the prediction of myopericarditis.

Pneumococcal and Influenza Vaccination Coverage in Patients with Heart Failure: A Systematic Review

Background/Objectives: As heart failure (HF) patients face increased vulnerability to respiratory infections, optimizing pneumococcal and influenza vaccination coverage becomes pivotal for mitigating additional health risks and reducing hospitalizations, morbidity, and mortality rates within this population. In this specific subpopulation of patients, vaccination coverage for pneumococcal and influenza holds heightened significance compared to other vaccines due to their susceptibility to respiratory infections, which can exacerbate existing cardiovascular conditions and lead to severe complications or even death. However, despite the recognized benefits, vaccination coverage among HF patients remains below expectations. The aim of the present systematic review was to assess the vaccination coverage for influenza and pneumococcus in HF patients from 2005 to 2023 and the vaccination's effects on survival and hospitalizations. Methods: The authors developed the protocol of the review in accordance with the PRISMA guidelines, and the search was performed in databases including PubMed and Scopus. After the initial search, 851 studies were found in PubMed Library and 1961 in Scopus (total of 2812 studies). Results: After the initial evaluation, 23 publications were finally included in the analysis. The total study population consisted of 6,093,497 participants. Regarding the influenza vaccine, vaccination coverage ranged from low rates of 2.5% to very high rates of 97%, while the respective pneumococcal vaccination coverage ranged from 20% to 84.6%. Most studies demonstrated a beneficial effect of vaccination on survival and hospitalizations. Conclusions: The present systematic review study showed a wide variety of vaccination coverage among patients with heart failure.

Association Between Artificial Intelligence Based Chest Computed Tomography and Clinical/Laboratory Characteristics with Severity and Mortality in COVID-19 Hospitalized Patients

Background

Some patients with COVID-19 rapidly develop respiratory failure or mortality, underscoring the necessity for early identification of those prone to severe illness. Numerous studies focus on clinical and lab traits, but only few attend to chest computed tomography. The current study seeks to numerically quantify pulmonary lesions using early-phase CT scans calculated through artificial intelligence algorithms in conjunction with clinical and laboratory helps clinicians to early identify the development of severe illness and death in a group of COVID-19 patients.

Methods

From December 15, 2022, to January 30, 2023, 191 confirmed COVID-19 patients admitted to Xinhua Hospital Affiliated with Shanghai Jiao Tong University School of Medicine were consecutively enrolled. All patients underwent chest CT scans and serum tests within 48 hours prior to admission. Variables significantly linked to critical illness or mortality in univariate analysis were subjected to multivariate logistic regression models post collinearity assessment. Adjusted odds ratio, 95% confidence intervals, sensitivity, specificity, Youden index, receiver-operator-characteristics (ROC) curves, and area under the curve (AUC) were computed for predicting severity and in-hospital mortality.

Results

Multivariate logistic analysis revealed that myoglobin (OR = 1.003, 95% CI 1.001-1.005), APACHE II score (OR = 1.387, 95% CI 1.216-1.583), and the infected CT region percentage (OR = 113.897, 95% CI 4.939-2626.496) independently correlated with in-hospital COVID-19 mortality. Prealbumin stood as an independent safeguarding factor (OR = 0.965, 95% CI 0.947-0.984). Neutrophil counts (OR = 1.529, 95% CI 1.131-2.068), urea nitrogen (OR = 1.587, 95% CI 1.222-2.062), SOFA score(OR = 3.333, 95% CI 1.476-7.522), qSOFA score(OR = 15.197, 95% CI 3.281-70.384), PSI score(OR = 1.053, 95% CI 1.018-1.090), and the infected CT region percentage (OR = 548.221, 95% CI 2.615-114,953.586) independently linked to COVID-19 patient severity.

Predicting Mortality for COVID-19 Patients Admitted to an Emergency Department Using Early Warning Scores in Poland

COVID-19 disease is characterised by a wide range of symptoms that in most cases resemble flu or cold. Early detection of infections, monitoring of patients' conditions, and identification of patients with worsening symptoms became crucial during the peak of pandemic. The aim of this study was to assess and compare the performance of common early warning scores at the time of admission to an emergency department in predicting in-hospital mortality in patients with COVID-19. The study was based on a retrospective analysis of patients with SARS-CoV-2 infection admitted to an emergency department between March 2020 and April 2022. The prognostic value of early warning scores in predicting in-hospital mortality was assessed using the receiver operating characteristic (ROC) curve. Patients' median age was 59 years, and 52.33% were male. Among all the EWS we assessed, REMS had the highest overall accuracy (AUC 0.84 (0.83-0.85)) and the highest NPV (97.4%). REMS was the most accurate scoring system, characterised by the highest discriminative power and negative predictive value compared to the other analysed scoring systems. Incorporating these tools into clinical practice in a hospital emergency department could provide more effective assessment of mortality and, consequently, avoid delayed medical assistance.

Heart Failure with Reduced Ejection Fraction and COVID-19, when the Sick Get Sicker: Unmasking Racial and Ethnic Inequities During a Pandemic

Minoritized racial and ethnic groups have the highest incidence, prevalence, and hospitalization rate for heart failure. Despite improvement in medical therapies and overall survival, the morbidity and mortality of these groups remain elevated. The reasons for this disparity are multifactorial, including social determinant of health (SDOH) such as access to care, bias, and structural racism. These same factors contributed to higher rates of COVID-19 infection among minoritized racial and ethnic groups. In this review, we aim to explore the lessons learned from the COVID-19 pandemic and its interconnection between heart failure and SDOH. The pandemic presents a window of opportunity for achieving greater equity in the health care of all vulnerable populations.

Impact of COVID-19 on heart failure hospitalization and outcome in India - A cardiological society of India study (CSI-HF in COVID 19 times study - "The COVID C-HF study")

OBJECTIVES

The presentation and outcomes of acute decompensated heart failure (ADHF) during COVID times (June 2020 to Dec 2020) were compared with the historical control during the same period in 2019.

METHODS

Data of 4806 consecutive patients of acute HF admitted in 22 centres in the country were collected during this period. The admission patterns, aetiology, outcomes, prescription of guideline-directed medical therapy (GDMT) and interventions were analysed in this retrospective study.

RESULTS

Admissions for acute heart failure during the pandemic period in 2020 decreased by 20% compared to the corresponding six-month period in 2019, with numbers dropping from 2675 to 2131. However, no difference in the epidemiology was seen. The mean age of presentation in 2019 was 61.75 (±13.7) years, and 59.97 (±14.6) years in 2020. There was a significant decrease in the mean age of presentation (p = 0.001). Also. the proportion of male patients decreased significantly from 68.67% to 65.84% (p = 0.037). The in-hospital mortality for acute heart failure did not differ significantly between 2019 and 2020 (4.19% and 4.,97%) respectively (p = 0.19). The proportion of patients with HFrEF did not change in 2020 compared to 2019 (76.82% vs 75.74%, respectively). The average duration of hospital stay was 6.5 days.

CONCLUSION

The outcomes of ADHF patients admitted during the Covid pandemic did not differ significantly. The length of hospital stay remained the same. The study highlighted the sub-optimal use of GDMT, though slightly improving over the last few years.

Virtual Group Appointments Improve Outcomes in Veterans with Heart Failure During a Global Pandemic: A Quality Improvement Project

This report on a quality improvement initiative describes a multi-professional approach to improving self-care behaviors and reducing hospitalizations in Veterans with heart failure (HF) by implementing virtual group appointments. Patients with HF are more susceptible to complications related to COVID-19 infection, creating the need for alternative communication methods for patient education during the social isolation and reduced health-care resources brought on by the global pandemic. From March 2020 to June 2021, 57 Veterans participated in 1 of 12 group appointments at the VA Portland Health Care System in Portland, Oregon. Each group was led by a multi-professional team who provided education on self-care behaviors, nutrition, medications, and mental health impacts of HF. Chart reviews and pre-/post-self-care behavior questionnaires showed that the virtual group HF appointments were associated with a decrease in hospitalizations, compared to previous data with the same population, and self-reported self-care behaviors improved from pre- to post-questionnaire. Group appointments offer a unique educational and motivational experience for those with HF and provide the ability to engage with each other during challenging times.

Clinical Characteristics and Outcomes among Vaccinated and Unvaccinated Patients with Cardiovascular Disease Who Were Hospitalized for COVID-19 in Brazil: Retrospective Cohort

INTRODUCTION

COVID-19 in Brazil has already caused, and it still causes, several impacts on health, economy, and education. The risk factors for death involved those with cardiovascular diseases (CVD), which were prioritized for the vaccination of COVID-19.

OBJECTIVE

To investigate the clinical characteristics and outcomes between vaccinated and unvaccinated patients with cardiovascular diseases hospitalized for COVID-19 in Brazil in the year 2022.

METHODS

A retrospective cohort was analyzed from the year 2022, with cases being hospitalized by COVID-19 being drawn from SIVEP-GRIPE surveillance. We compared clinical characteristics, comorbidities, and outcomes between CVD carriers and non-carriers, and we also compared vaccinated with two doses vs. those that are unvaccinated in CVD carriers. We performed chi-square, odds ratio, logistic regression, and survival analysis.

RESULTS

We included, in the cohort, 112,459 hospital inpatients. An amount of 71,661 (63.72%) of the hospitalized patients had CVD. Regarding deaths, 37,888 (33.69%) died. Regarding vaccination against COVID-19, 20,855 (18.54%) people were not vaccinated with any dose among those with CVD. Death p- < 0.001 (OR 1.307-CI 1.235-1.383) and fever p- < 0.001 (OR 1.156-CI 1.098-1.218) were associated with the unvaccinated CVD carriers, and diarrhea p-0.015 (OR 1.116-CI 1.022-1.218), dyspnea p-0.022 (OR 1.074-CI 1.011-1.142), and respiratory distress p-0.021 (OR 1.070-CI 1.011-1.134) were also recorded. Those patients who possessed predictors of death, including invasive ventilation (p- < 0.001 (OR 8.816-CI 8.313-9.350)), were admitted to the ICU p- < 0.001 (OR 1.754-CI 1.684-1.827), and some had respiratory distress p- < 0.001 (OR 1.367-CI 1.312-1.423), dyspnea p < 0.001 (OR 1.341-CI 1.284-1.400), O₂ saturation < 95% p- < 0. 001 (OR 1.307-CI 1.254-1.363), they were unvaccinated against COVID-19 p- < 0.001 (OR 1.258-CI 1.200-1.319), they were of male sex p- < 0.001 (OR 1.179-CI 1.138-1.221), they had diarrhea p-0.018 (OR 1.081-CI 1.013-1.154), and they may have been old p < 0.001 (OR 1.034-CI 1.033-1.035). Survival was shorter for the unvaccinated p-0.003, and p- <0.001.

CONCLUSIONS

We highlight the predictors of death for those unvaccinated against COVID-19 in this research, and we evidenced the benefits of the COVID-19 vaccine in reducing deaths in hospitalized CVD patients.

Outcomes among heart failure patients hospitalized for acute pulmonary embolism and COVID-19 infection: Insight from the National Inpatient Sample

There is paucity of data regarding the outcomes of hospitalized acute pulmonary embolism (PE) patients with heart failure (HF) and Coronavirus Disease 2019 (COVID-19) infection. We utilized the 2020 National Inpatient Sample (NIS) Database in conducting a retrospective cohort study to investigate the outcomes of hospitalized acute PE patients with HF and COVID-19, looking at its impact on in-hospital mortality, thrombolysis, and thrombectomy utilization as well as hospital length of stay (LOS). A total of 23,413 hospitalized acute PE patients with HF were identified in our study, of which 1.26% (n = 295/23,413) had COVID-19 infection. Utilizing a stepwise survey multivariable logistic regression model that adjusted for confounders, COVID-19 infection among acute PE patients with HF was found to be an independent predictor of overall in-hospital mortality (adjusted odds ratio [aOR]: 2.77; 95% confidence interval [CI], 1.15-6.67; p = 0.023) and thrombolysis utilization (aOR: 5.52; 95% CI, 2.57-11.84; p ≤ 0.001) compared to those without COVID-19. However, there were comparable rates of thrombectomy utilization and LOS among acute PE patients with HF regardless of the COVID-19 infection status. On subgroup analysis, patients with HF with reduced ejection fraction was found to be associated with increased risk for in-hospital mortality (aOR: 3.89; 95% CI, 1.33-11.39; p = 0.013) and thrombectomy utilization (aOR: 4.58; 95% CI, 1.08-19.41; p = 0.042), whereas both HF subtypes were associated with increased thrombolysis utilization. COVID-19 infection among acute PE patients with HF was associated with higher over-all in-hospital mortality and increased thrombolysis utilization but had comparable hospital LOS as well as thrombectomy utilization.

Multi-marker risk assessment in patients hospitalized with COVID-19: Results from the American Heart Association COVID-19 Cardiovascular Disease Registry

BACKGROUND

The pathobiology of inflammation, thrombosis, and myocardial injury associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) may be assessed by circulating biomarkers. However, their relative prognostic importance has been incompletely described.

METHODS

We analyzed data from patients hospitalized with COVID-19 from January 2020, to April 2021, at 122 US hospitals in the American Heart Association (AHA) COVID-19 cardiovascular (CV) disease registry. Patients with data for D-dimer, C-reactive protein (CRP), ferritin, natriuretic peptides [NP], or cardiac troponin (cTn) at admission were included. cTn quintiles were indexed to the assay-specific 99th percentile reference limits. Using multivariable logistic regression, we assessed the association between each biomarker by quintile [Q] and odds of in-hospital death and a cardiovascular and thrombotic composite outcome.

RESULTS

Of 32,636 registry patients, 26,424 (81%) had admission values for ≥1 of the key biomarkers, of which 4,527 (17%) had admission values for all 5 biomarkers. Each biomarker revealed a significant gradient for in-hospital mortality from Q1 to Q5: D-dimer 14% to 35%, CRP 11%-32%, ferritin 11% to 30%, cTn 13% to 43%, and NPs 7% to 35% (P_trend for each <.001). After adjustment for other biomarkers and clinical variables, Q5 for NPs (OR:4.67, 95% CI: 3.05-7.14) retained the greatest relative odds for death; cTn (OR:2.68, 95% CI: 2.00-3.59) and NPs (OR:7.14, 95% CI: 4.92-10.37) were associated with the greatest odds of the CV composite. Q5 for D-dimer was associated with the highest risk of thrombotic events (OR: 9.02, 95% CI: 5.36-15.18).

CONCLUSIONS

Among patients hospitalized with COVID-19, cTn and NPs identified patients at high risk for an in-hospital adverse cardiovascular outcome, while elevations in D-dimer identified patients at risk for thrombotic complications.

A Review of Heart Failure in patients with COVID-19

The interplay of COVID-19 and heart failure is complex and involves direct and indirect effects. Patients with existing heart failure develop more severe COVID-19 symptoms and have worse clinical outcomes. Pandemic-related policies and protocols have negatively affected care for cardiovascular conditions and established hospital protocols, which is particularly important for patients with heart failure.

Effects of underlying heart failure on outcomes of COVID-19; a systematic review and meta-analysis

Background: The risk for worse outcomes of COVID-19 (Coronavirus 2019 disease) is higher in patients with cardiac conditions. In this study, we aim to investigate the risks of COVID-19-induced conditions in cases with underlying heart failure. Methods: We systematically searched PubMed, Scopus, Ovid, ProQuest, Web of Science, and the Cochrane library, to collect the English language articles that investigated patients with underlying heart failure who get infected by COVID-19. The second version of comprehensive meta-analysis (CMA.2) software was used to conduct the meta-analysis. Results: From 5997 publications, our eligibility criteria were met by 27 studies. Overall, outcomes investigated in all studies include but are not limited to mortality rate, length of hospitalization, need for Intensive care unit (ICU) admission, need for mechanical ventilation, and major cardiovascular conditions. Regarding mortality heart failure patients were more susceptible to death (OR:2.570, 95%CI: 2.085 to 3.169; p-value:<0.001). Also in heart failure patients, the risk of mechanical ventilation was higher (OR:1.707, 95%CI: 1.113 to 2.617; p-value: 0.014). Conclusion: Pre-existing heart failure is associated with the increased risk of mortality and the need for mechanical ventilation while getting infected with COVID-19. Finding an answer to determine the risk of hospitalization, length of stay, readmission rate, and multiorgan failure is necessary for further development of preventive care and making a plan for providing optimal healthcare facilities for these patients.

Excess of heart failure-related deaths during the 2020 COVID-19 pandemic in Unites States

BACKGROUND

HF can be encountered at different stages in the course of COVID-19 disease. However, data regarding the HF-related mortality during COVID-19 pandemic are scant OBJECTIVE: We investigate the heart failure (HF)-related mortality rate in the US among patient with or without COVID-19 infection during the first two pandemic waves in 2020 and to compare them to those of previous years (2014-2019).

METHODS

Age-adjusted mortality rates (AAMR) per 100.000 person-years, with relative 95% confidence interval (CI) were determined using the free-available dataset for Multiple cause-of-death, provided by the Center for Disease Control.

RESULTS

Throughout the 2020, the first year of the COVID-19 pandemic, 522.848 HF-related deaths were registered (461.594 and 61.254 in subjects without and with COVID-19 infection, respectively). The overall HF-related AAMR was 124.6 (65% CI 123.4-125.6), reflecting an increased HF-related mortality of 13.2% and 25.9% compared to 2019 and 2018 (p < 0.0001). HF-related AAMR was 111.0 (95% CI: 110.7-111.4) and 14.8 (95% CI: 14.6-14.9) per 100.000 population for decedents without and with COVID-19 disease, respectively. The proportionate mortality of HF in COVID-19 patients was 11.7%. HF-related AAMR in COVID-19 patients was higher in men (18.0 per 100.000, 95% CI: 17.8-18.2), in patients aged more 65 years (104.0 per 100.000, 95% CI: 103.1-104.9), in African Americans (22.5 per 100.000, 95% CI: 22.0-22.3) and in those living in rural counties (18.4 per 100.000, 95% CI: 18.0-18.7).

CONCLUSIONS

A significant increase in the HF-related mortality during the 2020 was observed synchronously with the COVID-19 pandemic.

COVID-19 and Heart Failure with Preserved and Reduced Ejection Fraction Clinical Outcomes among Hospitalized Patients in the United States

Heart failure exacerbations impart significant morbidity and mortality, however, large- scale studies assessing outcomes in the setting of concurrent coronavirus disease-19 (COVID-19) are limited. We utilized National Inpatient Sample (NIS) database to compare clinical outcomes in patients admitted with acute congestive heart failure exacerbation (CHF) with and without COVID-19 infection. A total of 2,101,980 patients (Acute CHF without COVID-19 (n = 2,026,765 (96.4%) and acute CHF with COVID-19 (n = 75,215, 3.6%)) were identified. Multivariate logistic regression analysis was utilized to compared outcomes and were adjusted for age, sex, race, income level, insurance status, discharge quarter, Elixhauser co-morbidities, hospital location, teaching status and bed size. Patients with acute CHF and COVID-19 had higher in-hospital mortality compared to patients with acute CHF alone (25.78% vs. 5.47%, adjust OR (aOR) 6.3 (95% CI 6.05–6.62, p < 0.001)) and higher rates of vasopressor use (4.87% vs. 2.54%, aOR 2.06 (95% CI 1.86–2.27, p < 0.001), mechanical ventilation (31.26% vs. 17.14%, aOR 2.3 (95% CI 2.25–2.44, p < 0.001)), sudden cardiac arrest (5.73% vs. 2.88%, aOR 1.95 (95% CI 1.79–2.12, p < 0.001)), and acute kidney injury requiring hemodialysis (5.56% vs. 2.94%, aOR 1.92 (95% CI 1.77–2.09, p < 0.001)). Moreover, patients with heart failure with reduced ejection fraction had higher rates of in-hospital mortality (26.87% vs. 24.5%, adjusted OR 1.26 (95% CI 1.16–1.36, p < 0.001)) with increased incidence of vasopressor use, sudden cardiac arrest, and cardiogenic shock as compared to patients with heart failure with preserved ejection fraction. Furthermore, elderly patients and patients with African-American and Hispanic descents had higher in-hospital mortality. Acute CHF with COVID-19 is associated with higher in-hospital mortality, vasopressor use, mechanical ventilation, and end organ dysfunction such as kidney failure and cardiac arrest.

Acute Cardiac Events During COVID-19-Associated Hospitalizations

BACKGROUND

COVID-19 is associated with cardiac complications.

OBJECTIVES

The purpose of this study was to estimate the prevalence, risk factors, and outcomes associated with acute cardiac events during COVID-19-associated hospitalizations among adults.

METHODS

During January 2021 to November 2021, medical chart abstraction was conducted on a probability sample of adults hospitalized with laboratory-confirmed SARS-CoV-2 infection identified from 99 U.S. counties in 14 U.S. states in the COVID-19-Associated Hospitalization Surveillance Network. We calculated the prevalence of acute cardiac events (identified by International Classification of Diseases-10th Revision-Clinical Modification codes) by history of underlying cardiac disease and examined associated risk factors and disease outcomes.

RESULTS

Among 8,460 adults, 11.4% (95% CI: 10.1%-12.9%) experienced an acute cardiac event during a COVID-19-associated hospitalization. Prevalence was higher among adults who had underlying cardiac disease (23.4%; 95% CI: 20.7%-26.3%) compared with those who did not (6.2%; 95% CI: 5.1%-7.6%). Acute ischemic heart disease (5.5%; 95% CI: 4.5%-6.5%) and acute heart failure (5.4%; 95% CI: 4.4%-6.6%) were the most prevalent events; 0.3% (95% CI: 0.1%-0.5%) experienced acute myocarditis or pericarditis. Risk factors varied by underlying cardiac disease status. Patients with ≥1 acute cardiac event had greater risk of intensive care unit admission (adjusted risk ratio: 1.9; 95% CI: 1.8-2.1) and in-hospital death (adjusted risk ratio: 1.7; 95% CI: 1.3-2.1) compared with those who did not.

CONCLUSIONS

Acute cardiac events were common during COVID-19-associated hospitalizations, particularly among patients with underlying cardiac disease, and are associated with severe disease outcomes. Persons at greater risk for experiencing acute cardiac events during COVID-19-associated hospitalizations might benefit from more intensive clinical evaluation and monitoring during hospitalization.

Sex and diet, but not exercise, alter cardiovascular ACE2 and TMPRSS2 mRNA levels in aortic banded swine

SARS-COV-2, or COVID-19, is a respiratory virus that enters tissues via the angiotensin-converting enzyme 2 (ACE2) receptor and is primed and activated by transmembrane protease, serine 2 (TMPRSS2). An interesting dichotomy exists regarding the preventative/therapeutic effects of exercise on COVID-19 infection and severity. Although exercise training has been shown to increase ACE2 receptor levels (increasing susceptibility to COVID-19 infection), it also lowers cardiovascular risk factors, systemic inflammation, and preserves normal renin-angiotensin system axis equilibrium, which is considered to outweigh any enhanced risk of infection by decreasing disease severity. The goal of this study was to determine the effects of chronic exercise training, sex, and Western diet on ACE2 and TMPRSS2 mRNA levels in preclinical swine models of heart failure. We hypothesized chronic exercise training and male sex would increase ACE2 and TMPRSS2 mRNA levels. A retrospective analysis was conducted in previously completed studies including: 1) sedentary and exercise-trained aortic banded male, intact Yucatan mini-swine (n = 6 or 7/group); 2) ovariectomized and/or aortic banded female, intact Yucatan mini-swine (n = 5-8/group); and 3) lean control or Western diet-fed aortic banded female, intact Ossabaw swine (n = 4 or 5/group). Left ventricle, right ventricle, and coronary vascular tissue were evaluated using qRT-PCR. A multivariable regression analysis was used to determine differences between exercise training, sex, and Western diet. Chronic exercise training did not alter ACE2 or TMPRSS2 level regardless of intensity. ACE2 mRNA was altered in a tissue-specific manner due to sex and Western diet. TMPRSS2 mRNA was altered in a tissue-dependent manner due to sex, Western diet, and pig species. These results highlight differences in ACE2 and TMPRSS2 mRNA regulation in an experimental setting of preclinical heart failure that may provide insight into the risk of cardiovascular complications of SARS-COV-2 infection.NEW & NOTEWORTHY This retrospective analysis evaluated the impact of exercise, sex, and diet on ACE2 and TMPRSS2 mRNA levels in preclinical swine heart failure models. Unlike normal exercise intensities, exercise training of an intensity tolerable to a patient with heart failure had no influence on ACE2 or TMPRSS2 mRNA. In a tissue-specific manner, ACE2 mRNA levels were altered due to sex and Western diet, whereas TMPRSS2 mRNA levels were sensitive to sex, Western diet, and pig species.

Safety of BNT162b2 or CoronaVac COVID-19 vaccines in patients with heart failure: A self-controlled case series study

Background

COVID-19 vaccines are important for patients with heart failure (HF) to prevent severe outcomes but the safety concerns could lead to vaccine hesitancy. This study aimed to investigate the safety of two COVID-19 vaccines, BNT162b2 and CoronaVac, in patients with HF.

Methods

We conducted a self-controlled case series analysis using the data from the Hong Kong Hospital Authority and the Department of Health. The primary outcome was hospitalization for HF and the secondary outcomes were major adverse cardiovascular events (MACE) and all hospitalization. We identified patients with a history of HF before February 23, 2021 and developed the outcome event between February 23, 2021 and March 31, 2022 in Hong Kong. Incidence rate ratios (IRR) were estimated using conditional Poisson regression to evaluate the risks following the first three doses of BNT162b2 or CoronaVac.

Findings

We identified 32,490 patients with HF, of which 3035 were vaccinated and had a hospitalization for HF during the observation period (BNT162b2 = 755; CoronaVac = 2280). There were no increased risks during the 0–13 days (IRR 0.64 [95% confidence interval 0.33–1.26]; 0.94 [0.50–1.78]; 0.82 [0.17–3.98]) and 14–27 days (0.73 [0.35–1.52]; 0.95 [0.49–1.84]; 0.60 [0.06–5.76]) after the first, second and third doses of BNT162b2. No increased risks were observed for CoronaVac during the 0–13 days (IRR 0.60 [0.41–0.88]; 0.71 [0.45–1.12]; 1.64 [0.40–6.77]) and 14–27 days (0.91 [0.63–1.32]; 0.79 [0.46–1.35]; 1.71 [0.44–6.62]) after the first, second and third doses. We also found no increased risk of MACE or all hospitalization after vaccination.

Interpretation

Our results showed no increased risk of hospitalization for HF, MACE or all hospitalization after receiving BNT162b2 or CoronaVac vaccines in patients with HF.

Funding

The project was funded by a Research Grant from the 10.13039/501100005407Food and Health Bureau, The Government of the Hong Kong Special Administrative Region (Ref. No. COVID19F01). F.T.T.L. (Francisco T.T. Lai) and I.C.K.W. (Ian C.K. Wong)'s posts were partly funded by the D24H; hence this work was partly supported by AIR@InnoHK administered by Innovation and Technology Commission.

Outcomes of COVID-19 in heart failure, LVAD, and heart transplant patients in an advanced heart failure practice

Background

Patients with heart failure face increased morbidity and mortality when infected with COVID-19. The objective of this study was to evaluate the outcomes of patients with Heart Failure (HF), Left Ventricular Assist Devices (LVADs), or Heart Transplants (HTx) diagnosed with COVID-19 within an advanced HF practice.

Methods

Out of 2635 patients followed, 96 patients were diagnosed with COVID-19 between March 2020 and January 2021. Median hospital length of stay (LOS), requirement for mechanical ventilation (MV), and mortality rate were evaluated.

Results

The distribution of COVID-19 among the 96 patients was: HF = 43 (45 %), LVAD = 16 (17 %) and HTx = 37 (38 %). Among 43 HF patients, 5 (12 %) died, 18 (42 %) required hospitalization with an LOS of 7 days, 5 (12 %) required ICU and 4 (9 %) required MV. Of the 16 LVAD patients, 2 (13 %) died, 8 (50 %) required hospitalization with an LOS of 11 days, 3 (19 %) required ICU and 3 (19 %) required MV. Among 37 HTx patients, 7 (19 %) died, 23 (62 %) required hospitalization with an LOS of 9 days, 6 (16 %) required ICU and 6 (16 %) required MV.

Conclusion

This report is among the first to describe the impact of COVID-19 on a diverse advanced HF practice. It highlights the risks associated with COVID-19 faced by the HF, LVAD and HTx patients. A 90-day mortality rate of 19 % with HTx patients acquiring COVID-19 is ominous as is a mortality rate of 12 % each for HF and LVAD patients. This clinical impact should serve as a reminder of unique challenges with these populations.

Temporal trends in characteristics, treatment, and outcomes of heart failure in octogenarians over two decades

INTRODUCTION AND OBJECTIVES

Octogenarians represent the most rapidly expanding population segment in Europe. The prevalence of heart failure (HF) in this group exceeds 10%. We assessed changes in clinical characteristics, therapy, and 1-year outcomes over 2 decades in chronic HF outpatients aged ≥ 80 years enrolled in a nationwide cardiology registry.

METHODS

We included 2520 octogenarians with baseline echocardiographic ejection fraction measurements and available 1-year follow-up, who were recruited at 138 HF outpatient clinics (21% of national hospitals with cardiology units), across 3 enrolment periods (1999-2005, 2006-2011, 2012-2018).

RESULTS

At recruitment, over the 3 study periods, there was an increase in age, body mass index, ejection fraction, the prevalence of obesity, diabetes, dyslipidemia, pre-existing hypertension, and atrial fibrillation history. The proportion of patients with preserved ejection fraction rose from 19.4% to 32.7% (P for trend <.0001). Markers of advanced disease became less prevalent. Prescription of beta-blockers and mineralocorticoid receptor antagonists increased over time. During the 1-year follow-up, 308 patients died (12.2%) and 360 (14.3%) were admitted for cardiovascular causes; overall, 591 (23.5%) met the combined primary endpoint of all-cause mortality or cardiovascular hospitalization. On adjusted multivariable analysis, enrolment in 2006 to 2011 (HR, 0.70; 95%CI, 0.55-0.90; P=.004) and 2012 to 2018 (HR, 0.61; 95%CI, 0.47-0.79; P=.0002) carried a lower risk of the primary outcome than recruitment in 1999 to 2005.

CONCLUSIONS

Among octogenarians, over 2 decades, risk factor prevalence increased, management strategies improved, and survival remained stable, but the proportion hospitalized for cardiovascular causes declined. Despite increasing clinical complexity, in cardiology settings the burden of hospitalizations in the oldest old with chronic HF is declining.

Cardiovascular Factors Associated with COVID-19 from an International Registry of Primarily Japanese Patients

Aims: We developed an international registry to examine cardiovascular complications of COVID-19. Methods: A REDCap form was created in March 2020 at Mayo Clinic in collaboration with the International Society of Cardiomyopathy, Myocarditis and Heart Failure (ISCMF) and data were entered from April 2020 through April 2021. Results: Of the 696 patients in the COVID-19 Registry, 411 (59.2%) were male and 283 (40.8%) were female, with a sex ratio of 1.5:1 male to female. In total, 95.5% of the patients were from Japan. The average age was 52 years with 31.5% being >65 years of age. COVID-19 patients with a history of cardiovascular disease (CVD) had more pre-existing conditions including type II diabetes (p < 0.0001), cancer (p = 0.0003), obesity (p = 0.001), and kidney disease (p = 0.001). They also had a greater mortality of 10.1% compared to 1.7% in those without a history of CVD (p < 0.0001). The most common cardiovascular conditions in patients with a history of CVD were hypertension (33.7%), stroke (5.7%) and arrhythmias (5.1%). We found that troponin T, troponin I, brain natriuretic peptide (BNP), N-terminal pro-BNP (NT-proBNP), C-reactive protein (CRP), IL-6 and lambda immunoglobulin free light chains (Ig FLC) were elevated above reference levels in patients with COVID-19. Myocarditis is known to occur mainly in adults under the age of 50, and when we examined biomarkers in patients that were ≤50 years of age and had no history of CVD we found that a majority of patients had elevated levels of troponin T (71.4%), IL-6 (59.5%), creatine kinase/CK-MB (57.1%), D-dimer (57.8%), kappa Ig FLC (75.0%), and lambda Ig FLC (71.4%) suggesting myocardial injury and possible myocarditis. Conclusions: We report the first findings to our knowledge of cardiovascular complications from COVID-19 in the first year of the pandemic in a predominantly Japanese population. Mortality was increased by a history of CVD and pre-existing conditions including type II diabetes, cancer, obesity, and kidney disease. Our findings indicate that even in cases where no abnormalities are found in ECG or ultrasound cardiography that myocardial damage may occur, and cardiovascular and inflammatory biomarkers may be useful for the diagnosis.

Impact of previous cardiac function status assessed by echocardiography on the outcome of COVID-19

More than 91,000 fatalities due to Coronavirus Disease 2019 (COVID-19) have occurred in Spain. Several factors are associated with increased mortality in this disease, including cardiovascular risk factors (CVRF). However, information on the cardiac function of patients prior to the onset of COVID-19 is scarce and the potential impact it may have is uncertain. The aim of the EchoVID study was to describe the potential association between CVRF and cardiac function status prior to SARS-CoV-2 infection and in-hospital mortality. We studied clinical characteristics and cardiac function of patients admitted during the first wave of COVID-19. All patients had a transthoracic echocardiogram performed in the previous 12 months prior to diagnosis; conventional systolic and diastolic function parameters were analyzed. Logistic regression analysis was performed to identify predictors of in-hospital mortality. We included 296 individuals. Median age was higher in the group of patients who died (81.0 vs 76.1 years; p = 0.007). No significant differences were found in CVRF. Survivors were more frequently receiving anticoagulation therapy (52.9% vs 70.8%; p = 0.003). LVEF, although preserved on average in both groups, was significantly lower in the group of deceased patients (56.9% vs 61.1%; p = 0.017). Average E/e′ ratio was higher in the deceased group (11.1 vs 10.1; p = 0.049). Five variables were found to be independently associated with in-hospital mortality due to COVID-19: Age, male gender, LVEF, E/e′ ratio and anticoagulation therapy. A model including these variables had an area under the ROC curve of 0.756 (CI 0.669–0.843). The echocardiographic variables included in the model significantly improved the discriminative power, compared to a model including only demographic data. Left ventricular ejection fraction and E/e′ ratio prior to SARS-CoV-2 infection are two easily-obtained echocardiographic parameters that provide additional prognostic information over clinical factors when assessing patients admitted for SARS-CoV-2 infection.

Cardiac Registries During the COVID-19 Pandemic: Lessons Learned

PURPOSE OF THIS REVIEW

We discuss the role of observational studies and cardiac registries during the COVID-19 pandemic. We focus on published cardiac registries and highlight contributions to the field that have had clinical implications.

RECENT FINDINGS

We included observational studies of COVID-19 patients published in peer-reviewed medical journals with defined inclusion and exclusion criteria, defined study design, and primary outcomes. A PubMed and MEDLINE literature review results in 437 articles, of which 52 include patients with COVID-19 with cardiac endpoints. From July 2020 to December 2021, the average time from last data collected to publication was 8.9 ± 4.1 months, with an increasing trend over time (R = 0.9444, p < 0.0001). Of the 52 articles that met our inclusion criteria, we summarize main findings of 4 manuscripts on stroke, 14 on acute coronary syndrome, 4 on cardiac arrest, 7 on heart failure, 7 on venous thromboembolism, 5 on dysrhythmia, and 11 on different populations at risk for cardiovascular. Registries are cost effective, not disruptive to essential health services, and can be rapidly disseminated with short intervals between last data point collected and publication. In less than 2 years, cardiac registries have filled important gaps in knowledge and informed the care of COVID-19 patients with cardiovascular conditions.