Impact of heart failure on COVID-19 patients: An insight from nationwide inpatient sample.

BACKGROUND: Patients with COVID-19 have been reported to experience adverse cardiovascular outcomes, such as myocarditis, acute myocardial infarction, and heart failure. Among these complications, heart failure (HF) has emerged as the most common critical complication during exacerbations of COVID-19, potentially leading to increased mortality rates and poorer clinical outcomes. We aimed to investigate the in-hospital outcomes of COVID-19 patients with HF. METHODS: We analyzed the Nationwide Inpatient Sample (NIS) dataset to select COVID-19 patients aged over 18 years who were hospitalized between January 1, 2020, and December 31, 2020, using ICD-10. Based on the presence of acute HF, the patients were divided into two cohorts. The clinical outcomes and complications were assessed at index admissions using STATA v.17." RESULTS: 1,666,960 COVID-19 patients were hospitalized in 2020, of which 156,755 (9.4%) had associated HF. COVID-19 patients with HF had a mean age of (72.38 ± 13.50) years compared to (62.3 ± 17.67) years for patients without HF. The HF patients had a higher prevalence of hypertension, hyperlipidemia, type 2 diabetes, smoking, and preexisting cardiovascular disease. Additionally, after adjusting for baseline demographics and comorbidities, COVID-19 patients with HF had higher rates of in-hospital mortality (23.86% vs. 17.63%, p<0.001), acute MI (18.83% vs. 10.91%, p<0.001), acute stroke (0.78% vs. 0.58%, p=0.004), cardiogenic shock (2.56% vs. 0.69%, p<0.001), and sudden cardiac arrest (5.54% vs. 3.41%, p<0.001) compared to those without HF. CONCLUSION: COVID-19 patients admitted with acute HF had worse clinical outcomes, such as higher mortality, myocardial infarction, cardiogenic shock, cardiac arrest, and a higher length of stay and healthcare than patients without HF.

Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2022: positron emission tomography, computed tomography, and magnetic resonance.

In 2022, the Journal of Nuclear Cardiology® published many excellent original research articles and editorials focusing on imaging in patients with cardiovascular disease. In this review of 2022, we summarize a selection of articles to provide a concise recap of major advancements in the field. In the first part of this 2-part series, we addressed publications pertaining to single-photon emission computed tomography. In this second part, we focus on positron emission tomography, cardiac computed tomography, and cardiac magnetic resonance. We specifically review advances in imaging of non-ischemic cardiomyopathy, cardio-oncology, infectious disease cardiac manifestations, atrial fibrillation, detection and prognostication of atherosclerosis, and technical improvements in the field. We hope that this review will be useful to readers as a reminder to articles they have seen during the year as well as ones they have missed.

Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2022: single photon emission computed tomography.

In this review, we will summarize a selection of articles on single-photon emission computed tomography published in the Journal of Nuclear Cardiology in 2022. The aim of this review is to concisely recap major advancements in the field to provide the reader a glimpse of the research published in the journal over the last year. This review will place emphasis on myocardial perfusion imaging using single-photon emission computed tomography summarizing advances in the field including in prognosis, non-perfusion variables, attenuation compensation, machine learning and camera design. It will also review nuclear imaging advances in amyloidosis, left ventricular mechanical dyssynchrony, cardiac innervation, and lung perfusion. We encourage interested readers to go back to the original articles, and editorials, for a comprehensive read as necessary but hope that this yearly review will be helpful in reminding readers of articles they have seen and attracting their attentions to ones they have missed.

Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2020: positron emission tomography, computed tomography, and magnetic resonance.

Although the year 2020 was different from other years in many respects, the Journal of Nuclear Cardiology published excellent articles pertaining to imaging in patients with cardiovascular disease due to the dedication of the investigators in our field all over the world. In this review, we will summarize a selection of these articles to provide a concise review of the main advancements that have recently occurred in the field and provide the reader with an opportunity to review a wide selection of articles. We will focus on publications dealing with positron emission tomography, computed tomography, and magnetic resonance and hope that you will find this review helpful.

Multi-modality imaging: Bird's eye view from the 2020 American Heart Association Scientific Sessions.

This review summarizes key imaging studies that were presented at the American Heart Association Scientific Sessions 2020, which occurred virtually this year due to the pandemic, related to the fields of single-photon emission computed tomography, positron emission tomography, cardiac computed tomography, cardiac magnetic resonance, and echocardiography. The aim of this bird's eye view is to inform readers of the various studies discussed at the meeting from these imaging modalities. Since there was no physical attendance this year, we find that a general overview of imaging will be especially useful. Further, we hope that the presentation of multiple imaging studies in a single synthesized review will stimulate new ideas for future research in imaging.

Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2019: Single-photon emission computed tomography.

In 2019, the Journal of Nuclear Cardiology published excellent articles pertaining to imaging in patients with cardiovascular disease. In this review, we will summarize a selection of these articles to provide a concise review of the main advancements that have recently occurred in the field and provide the reader with an opportunity to review a wide selection of articles. In the first article of this 2-part series, we focused on publications dealing with positron emission tomography, computed tomography, and magnetic resonance. This review will place emphasis on myocardial perfusion imaging using single-photon emission computed tomography summarizing advances in the field including in diagnosis and prognosis, non-perfusion variables, safety of testing, imaging in patients with heart failure and renal disease.

Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2019: Positron emission tomography, computed tomography and magnetic resonance.

In 2019, the Journal of Nuclear Cardiology published excellent articles pertaining to imaging in patients with cardiovascular disease. In this review we will summarize a selection of these articles to provide a concise review of the main advancements that have recently occurred in the field and provide the reader with an opportunity to review a wide selection of articles. In this first article of this 2-part series we will focus on publications dealing with positron emission tomography, computed tomography and magnetic resonance. We will specifically discuss imaging as it relates to coronary artery disease, atherosclerosis and inflammation, coronary artery calcification, cardiomyopathies, cardiac implantable electronic devices, prosthetic valves, and left ventricular assist devices. The second part of this review will place emphasis on myocardial perfusion imaging using single-photon emission computed tomography.

In-hospital outcome of peripheral vascular intervention in dialysis-dependent end-stage renal disease patients.

BACKGROUND: The impact of end-stage renal disease (ESRD) on peripheral vascular intervention (PVI) outcome remains incompletely elucidated. OBJECTIVES: We sought to compare the outcome of PVI in dialysis patients with those with normal kidney function. METHODS: Using weighted data from the National Inpatient Sample database between 2002 and 2014, we identified all peripheral artery disease (PAD) patients aged ≥18 years that underwent PVI. Multivariate logistic regression analysis was performed to examine in-hospital outcomes. RESULTS: Of 1,186,192 patients who underwent PVI, 1,066,830 had normal kidney function (89.9%) and 119,362 had ESRD requiring dialysis (10.1%). Critical limb ischemia was more prevalent in dialysis patients (63.2 vs. 34.0%, p < .001). Compared with normal kidney function group, ESRD requiring dialysis was associated with higher in-hospital mortality (1.5 vs. 4.2%, adjusted OR: 2.13 [95% CI: 2.04-2.23]) and longer length of hospital stay (median 3 days, Interquartile range [IQR] (0-6) vs. 7 days, IQR (4-18); p < .001). Dialysis patients had higher incidence of major adverse cardiovascular events (composite of death, myocardial infarction, or stroke; 14.3 vs. 9.8%, p < .001) and net adverse cardiovascular events (composite of MACE, major bleeding, or vascular complications; 40.8 vs. 29.1%, p < .001). ESRD patients less frequently underwent open bypass (5.6 vs. 8.5%, p < .001) and more frequently had major amputation (10.3 vs. 3.0%, p < .001) compared with normal kidney function group. CONCLUSION: PAD patients on dialysis who underwent PVI have higher rates of mortality and adverse outcomes as compared to those with normal kidney function.

A speckle-tracking strain-based artificial neural network model to differentiate cardiomyopathy type.

Objectives. In heart failure, invasive angiography is often employed to differentiate ischaemic from non-ischaemic cardiomyopathy. We aim to examine the predictive value of echocardiographic strain features alone and in combination with other features to differentiate ischaemic from non-ischaemic cardiomyopathy, using artificial neural network (ANN) and logistic regression modelling. Design. We retrospectively identified 204 consecutive patients with an ejection fraction <50% and a diagnostic angiogram. Patients were categorized as either ischaemic (n = 146) or non-ischaemic cardiomyopathy (n = 58). For each patient, left ventricular strain parameters were obtained. Additionally, regional wall motion abnormality, 13 electrocardiographic (ECG) features and six demographic features were retrieved for analysis. The entire cohort was randomly divided into a derivation and a validation cohort. Using the parameters retrieved, logistic regression and ANN models were developed in the derivation cohort to differentiate ischaemic from non-ischaemic cardiomyopathy, the models were then tested in the validation cohort. Results. A final strain-based ANN model, full feature ANN model and full feature logistic regression model were developed and validated, F1 scores were 0.82, 0.79 and 0.63, respectively. Conclusions. Both ANN models were more accurate at predicting cardiomyopathy type than the logistic regression model. The strain-based ANN model should be validated in other cohorts. This model or similar models could be used to aid the diagnosis of underlying heart failure aetiology in the form of the online calculator (https://cimti.usj.edu.lb/strain/index.html) or built into echocardiogram software.