Dataset Information

Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19.

ABSTRACT:

Aim

We sought to examine the association of epicardial adipose tissue (EAT) quantified on chest computed tomography (CT) with the extent of pneumonia and adverse outcomes in patients with coronavirus disease 2019 (COVID-19).

Methods

We performed a post-hoc analysis of a prospective international registry comprising 109 consecutive patients (age 64?±?16?years; 62% male) with laboratory-confirmed COVID-19 and noncontrast chest CT imaging. Using semi-automated software, we quantified the burden (%) of lung abnormalities associated with COVID-19 pneumonia. EAT volume (mL) and attenuation (Hounsfield units) were measured using deep learning software. The primary outcome was clinical deterioration (intensive care unit admission, invasive mechanical ventilation, or vasopressor therapy) or in-hospital death.

Results

In multivariable linear regression analysis adjusted for patient comorbidities, the total burden of COVID-19 pneumonia was associated with EAT volume (??=?10.6, p?=?0.005) and EAT attenuation (??=?5.2, p?=?0.004). EAT volume correlated with serum levels of lactate dehydrogenase (r?=?0.361, p?=?0.001) and C-reactive protein (r?=?0.450, p?ConclusionsEAT measures quantified from chest CT are independently associated with extent of pneumonia and adverse outcomes in patients with COVID-19, lending support to their use in clinical risk stratification.

SUBMITTER: Grodecki K

PROVIDER: S-EPMC7676319 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Publications

Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19.

Grodecki Kajetan K Lin Andrew A Razipour Aryabod A Cadet Sebastien S McElhinney Priscilla A PA Chan Cato C Pressman Barry D BD Julien Peter P Maurovich-Horvat Pal P Gaibazzi Nicola N Thakur Udit U Mancini Elisabetta E Agalbato Cecilia C Menè Robert R Parati Gianfranco G Cernigliaro Franco F Nerlekar Nitesh N Torlasco Camilla C Pontone Gianluca G Slomka Piotr J PJ Dey Damini D

Metabolism: clinical and experimental 20201119

<h4>Aim</h4>We sought to examine the association of epicardial adipose tissue (EAT) quantified on chest computed tomography (CT) with the extent of pneumonia and adverse outcomes in patients with coronavirus disease 2019 (COVID-19).<h4>Methods</h4>We performed a post-hoc analysis of a prospective international registry comprising 109 consecutive patients (age 64 ± 16 years; 62% male) with laboratory-confirmed COVID-19 and noncontrast chest CT imaging. Using semi-automated software, we quantified ...[more]

PMID: 33221381

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Project description:BackgroundThere are significant differences in the prevalence and prognosis of atrial fibrillation (AF) between sexes. Epicardial adipose tissue (EAT) has been found as a risk factor for AF. This study aimed to evaluate whether sex-based EAT differences were correlated with AF recurrence and major adverse cardiovascular events (MACE).MethodsIn this study, postmenopausal women and age, BMI, and type of AF matched men who had received first catheter ablation were included. EAT volume was quantified based on the pre-ablation cardiac computed tomography (CT) images. Clinical, CT, and echocardiographic variables were compared by sex groups. The predictors of AF recurrence and MACE were determined through Cox proportional hazards regression.ResultsWomen were found with significantly lower total EAT volumes (P < 0.001) but higher periatrial/total (P/T) EAT ratios (P = 0.009). The median follow-up duration was 444.5 days. As revealed by the result of the Kaplan-Meier survival analysis, the women were found to have a significantly higher prevalence of AF recurrence (log rank, P = 0.011) but comparable MACE (log rank, P = 0.507) than men. Multivariate analysis demonstrated that female gender (HR: 1.88 [95% CI: 1.03, 4.15], P = 0.032), persistent AF (HR: 2.46 [95% CI: 1.19, 5.05], P = 0.015), left atrial (LA) dimension (HR: 1.47 [95% CI: 1.02, 2.13], P = 0.041), and P/T EAT ratio (HR: 1.73 [95% CI: 1.12, 2.67], P = 0.013) were found as the independent predictors of AF recurrence. Sex-based subgroup multivariable analysis showed that the P/T EAT ratio was an independent predictor of AF recurrence in both men (HR: 1.13 [95% CI: 1.01, 1.46], P = 0.047) and women (HR: 1.37 [95% CI: 1.11, 1.67], P = 0.028). While age (HR: 1.81 [95% CI: 1.18, 2.77], P = 0.007), BMI (HR: 1.44 [95% CI: 1.02, 2.03], P = 0.038), and periatrial EAT volume (HR: 1.31 [95% CI: 1.01, 1.91], P = 0.046) were found to be independent of MACE.ConclusionWomen had a higher P/T EAT ratio and AF post-ablation recurrence but similar MACE as compared with men. Female gender and P/T EAT ratio were found to be independent predictors of AF recurrence, whereas age and periatrial EAT volume were found to be independent predictors of MACE.

Project description:Background: Myocardial injury is a life-threatening complication of coronavirus disease 2019 (COVID-19). Pre-existing health conditions and early morphological alterations may precipitate cardiac injury and dysfunction after contracting the virus. The current study aimed at assessing potential risk factors for COVID-19 cardiac complications in patients with pre-existing conditions and imaging predictors. Methods and Results: The multi-center, retrospective cohort study consecutively enrolled 400 patients with lab-confirmed COVID-19 in six Chinese hospitals remote to the Wuhan epicenter. Patients were diagnosed with or without the complication of myocardial injury by history and cardiac biomarker Troponin I/T (TnI/T) elevation above the 99th percentile upper reference limit. The majority of COVID-19 patients with myocardial injury exhibited pre-existing health conditions, such as hypertension, diabetes, hypercholesterolemia, and coronary disease. They had increased levels of the inflammatory cytokine interleukin-6 and more in-hospital adverse events (admission to an intensive care unit, invasive mechanical ventilation, or death). Chest CT scan on admission demonstrated that COVID-19 patients with myocardial injury had higher epicardial adipose tissue volume ([EATV] 139.1 (83.8-195.9) vs. 92.6 (76.2-134.4) cm2; P = 0.036). The optimal EATV cut-off value (137.1 cm2) served as a useful factor for assessing myocardial injury, which yielded sensitivity and specificity of 55.0% (95%CI, 32.0-76.2%) and 77.4% (95%CI, 71.6-82.3%) in adverse cardiac events, respectively. Multivariate logistic regression analysis showed that EATV over 137.1 cm2 was a strong independent predictor for myocardial injury in patients with COVID-19 [OR 3.058, (95%CI, 1.032-9.063); P = 0.044]. Conclusions: Augmented EATV on admission chest CT scan, together with the pre-existing health conditions (hypertension, diabetes, and hyperlipidemia) and inflammatory cytokine production, is associated with increased myocardial injury and mortality in COVID-19 patients. Assessment of pre-existing conditions and chest CT scan EATV on admission may provide a threshold point potentially useful for predicting cardiovascular complications of COVID-19.

Dataset Information

Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19.

Aim

Methods

Results

Publications

Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19.

Similar Datasets

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