Epicardial adipose tissue characteristics, obesity and clinical outcomes in COVID-19: A post-hoc analysis of a prospective cohort study

被引:23
|
作者
Conte, Caterina [1 ,7 ,8 ]
Esposito, Antonio [2 ,3 ]
De Lorenzo, Rebecca [2 ]
Di Filippo, Luigi [2 ]
Palmisano, Anna [2 ,3 ]
Vignale, Davide [2 ,3 ]
Leone, Riccardo [2 ,3 ]
Nicoletti, Valeria [2 ,3 ]
Ruggeri, Annalisa [1 ]
Gallone, Guglielmo [4 ]
Secchi, Antonio [1 ,2 ]
Bosi, Emanuele [1 ,2 ]
Tresoldi, Moreno [5 ]
Castagna, Antonella [1 ,2 ]
Landoni, Giovanni [2 ,6 ]
Zangrillo, Alberto [2 ,6 ]
De Cobelli, Francesco [2 ,3 ]
Ciceri, Fabio [1 ,2 ]
Camici, Paolo [1 ]
Rovere-Querini, Patrizia [1 ,2 ]
机构
[1] IRCCS San Raffaele Sci Inst, Div Immunol Transplantat & Infect Dis, Milan, Italy
[2] Univ Vita Salute San Raffaele, Sch Med, Milan, Italy
[3] IRCCS San Raffaele Sci Inst, Unit Expt & Clin Radiol, Expt Imaging Ctr, Milan, Italy
[4] Citta Salute & Sci, Dept Internal Med, Div Cardiol, Turin, Italy
[5] IRCCS San Raffaele Sci Inst, Unit Gen Med & Adv Care, Milan, Italy
[6] IRCCS San Raffaele Sci Inst, Dept Anesthesia & Intens Care, Milan, Italy
[7] San Raffaele Roma Open Univ, Dept Human Sci & Promot Qual Life, Via Val Cannuta 247, Rome, Italy
[8] IRCCS MultiMed, Dept Endocrinol Nutr & Metab Dis, Milan, Italy
关键词
COVID-19; SARS-CoV-2; Epicardial adipose tissue; Inflammation; Cardiac injury; Visceral fat; INFLAMMATION; DYSFUNCTION; FAT;
D O I
10.1016/j.numecd.2021.04.020
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background and aims: Obesity-related cardiometabolic risk factors associate with COVID-19 severity and outcomes. Epicardial adipose tissue (EAT) is associated with cardiometabolic disturbances, is a source of proinflammatory cytokines and a marker of visceral adiposity. We investigated the relation between EAT characteristics and outcomes in COVID-19 patients. Methods and results: This post-hoc analysis of a large prospective investigation included all adult patients (>= 18 years) admitted to San Raffaele University Hospital in Milan, Italy, from February 25th to April 19th, 2020 with confirmed SARS-CoV-2 infection who underwent a chest computed tomography (CT) scan for COVID-19 pneumonia and had anthropometric data available for analyses. EAT volume and attenuation (EAT-At, a marker of EAT inflammation) were measured on CT scan. Primary outcome was critical illness, defined as admission to intensive care unit (ICU), invasive ventilation or death. Cox regression and regression tree analyses were used to assess the relationship between clinical variables, EAT characteristics and critical illness. One-hundred and ninety-two patients were included (median [25th-75th percentile] age 60 years [53-70], 76% men). Co-morbidities included overweight/obesity (70%), arterial hypertension (40%), and diabetes (16%). At multivariable Cox regression analysis, EAT-At (HR 1.12 [1.04-1.21]) independently predicted critical illness, while increasing PaO2/FiO(2) was protective (HR 0.996 [95% CI 0.993; 1.00]). CRP, plasma glucose on admission, EAT-At and PaO2/FiO(2) identified five risk groups that significantly differed with respect to time to death or admission to ICU (log-rank p < 0.0001). Conclusion: Increased EAT attenuation, a marker of EAT inflammation, but not obesity or EAT volume, predicts critical COVID-19. (C) 2021 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:2156 / 2164
页数:9
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