Literature DB >> 32320741

Letter to the Editor: Obesity as a risk factor for greater severity of COVID-19 in patients with metabolic associated fatty liver disease.

Kenneth I Zheng1, Feng Gao2, Xiao-Bo Wang3, Qing-Feng Sun4, Ke-Hua Pan5, Ting-Yao Wang6, Hong-Lei Ma1, Yong-Ping Chen1, Wen-Yue Liu7, Jacob George8, Ming-Hua Zheng9.   

Abstract

Entities:  

Keywords:  COVID-19; MAFLD; Obesity; SARS-CoV-2

Mesh:

Year:  2020        PMID: 32320741      PMCID: PMC7166301          DOI: 10.1016/j.metabol.2020.154244

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


× No keyword cloud information.
Dear Sir, Coronavirus disease 2019 (COVID-19) has been declared a pandemic in 2020 [1]. Preliminary data suggests that obesity may aggravate the severity of respiratory diseases and of COVID-19 [2]. Patients with metabolic associated fatty liver disease (MAFLD) [3], formerly known as non-alcoholic fatty liver disease, are often obese and have additional metabolic risk factors which may translate to a greater risk from respiratory diseases [[4], [5], [6], [7]]. It is currently not known whether MALFD patients are also more likely to have greater COVID-19 severity of illness. This study investigated the association between MAFLD and COVID-19 severity. We consecutively enrolled 214 patients with laboratory-confirmed COVID-19 aged between 18 and 75 years from three hospitals in Wenzhou, China (the First Affiliated Hospital of Wenzhou Medical University, Wenzhou Central Hospital, and Ruian People's Hospital) between January 17, 2020 and February 11, 2020. All patients were screened for fatty liver by computed tomography and subsequently diagnosed as MAFLD according to a recent set of consensus diagnostic criteria [3]. Sixty six COVID-19 patients with MAFLD were included in the analyses and were divided into two groups [those with obesity (n = 45) and those without (n = 21)]. All patients received standard treatment based on the COVID-19 Management Guidance (7th edition) [8]. This study was approved by the local ethics review boards of all three hospitals. The requirement for written informed consent was waived for use of the de-identified data. COVID-19 was diagnosed as a positive result by high-throughput sequencing or real-time reverse transcriptase-polymerase chain reaction assay of oropharyngeal swab specimens. COVID-19 severity was assessed during hospitalization and classified as severe and non-severe based on the management guideline [8]. Blood routine markers were analyzed at the central laboratory of respective hospital using standard methods by VITROS 5600 Integrated Immunodiagnostic System (VITROS 5600, Johnson, New Jersey, USA). We collected demographic information and past medical history from all patients. Laboratory parameters were tested on the first day of hospital admission. Body weight and height were measured by trained examiners on admission. Body mass index (BMI) was calculated using the formula weight (kilograms) divided by height (meters) squared. Obesity was defined as BMI >25 kg/m2 [9]. Diabetes, hypertension and dyslipidemia were diagnosed based on established criteria [10]. All patients denied a history of chronic obstructive or restrictive pulmonary disease. Continuous variables are expressed as mean ± SD and compared using either the Student's t-test for normally distributed variables or the Mann-Whitney test for non-normally distributed variables. Continuous variables were tested for normality using the Shapiro-Wilk test. Differences between categorical variables were examined with the chi-squared test or the Fisher's exact test as appropriate. The association between obesity (as exposure) and COVID-19 severity (as the outcome) among MAFLD patients was assessed by binary logistic regression. Statistical analyses were two-sided and significance was set at p < 0.05. All statistical tests were performed using SPSS version 23.0 (SPSS Inc., Chicago, USA). The mean age of enrolled patients was 47 years and 74.2% were female. Table 1 shows the main clinical and biochemical characteristics of COVID-19 patients with MAFLD stratified by obesity status. Mean BMI for the non-obese and obese patients were 22.7 ± 2.1 kg/m2 and 28.3 ± 3.2 kg/m2, respectively. Compared with the non-obese group, obese patients had higher levels of aspartate aminotransferase, fasting blood glucose and LDL-cholesterol, and lower lymphocyte counts. Notably, MALFD patients that were obese had more severe COVID-19 disease (37.5% vs. 9.5%, p = 0.021).
Table 1

Baseline characteristics of MAFLD patients with laboratory-confirmed COVID-19 according to obesity status.

OverallN = 66Without obesityN = 21With obesityN = 45P value
Demographics
 Age, years
 18–44 yrs, n (%)39 (59.1%)15 (71.43%)24 (53.33%)0.207
 45–64 yrs, n (%)22 (33.3%)6 (28.57%)16 (35.56%)
 ≥65 yrs, n (%)5 (7.6%)0 (0.00%)5 (11.11%)
 Female sex, n (%)17 (25.8%)4 (19.05%)13 (28.89%)0.548
 Body mass index, kg/m226.5 ± 3.922.7 ± 2.128.3 ± 3.2<0.001
Coexisting disorders
 Current smoker, n (%)8 (12.1%)2 (9.5%)6 (13.3%)0.659
 Type 2 diabetes, n (%)16 (24.2%)2 (9.5%)14 (31.1%)0.070
 Hypertension, n (%)19 (28.8%)3 (14.3%)16 (35.6%)0.089
 Dyslipidemia, n (%)45 (68.2%)14 (66.67%)31 (68.89%)0.857
Laboratory parameters
 White blood cell count, ×1094.9 (3.9–6.7)4.8 (3.8–6.3)5.0 (4.1–6.7)0.495
 >10 × 109, n (%)2 (3.0%)0 (0.0%)2 (4.4%)0.511
 <4 × 109, n (%)17 (25.8%)7 (33.3%)10 (22.2%)
 Lymphocyte count, ×1091.2 (0.9–1.6)1.4 (1.1–1.8)1.1 (0.9–1.4)0.040
 <1.5 × 109, n (%)47 (71.2%)11 (52.4%)36 (80.0%)0.021
 C-reactive protein, mg/L21.6 (8.1–47.3)18.3 (5.8–24.5)25.3 (11.3–53.5)0.097
 ≥10 mg/L, n (%)47 (71.2%)13 (61.9%)34 (75.6%)0.382
 Alanine aminotransferase, U/L29.5 (24.0–62.5)26.0 (20.0–45.0)30.0 (24.0–65.0)0.150
 >40 U/L, n (%)25 (37.9%)6 (28.6%)19 (42.2%)0.415
 Aspartate aminotransferase, U/L31.5 (23.0–47.0)25.0 (21.0–33.0)35.0 (27.0–52.0)0.010
 >40 U/L, n (%)20 (30.3%)2 (9.5%)18 (40.0%)0.020
 Total bilirubin, μmol/L13.3 (9.3–17.1)15.6 (11.8–19.3)11.5 (8.8–16.7)0.051
 Creatinine, μmol/L74.0 (65.5–83.0)78.0 (67.0–87.0)74.0 (65.0–82.0)0.401
 Fasting blood glucose, mmol/L6.7 ± 2.35.8 ± 1.57.1 ± 2.60.047
 HbA1c, %1.5 ± 0.61.3 ± 0.61.5 ± 0.60.145
 Triglycerides, mmol/L3.9 ± 0.93.7 ± 0.94.1 ± 0.90.086
 Total cholesterol, mmol/L1.0 ± 0.31.1 ± 0.21.0 ± 0.30.255
 HDL-cholesterol, mmol/L2.3 ± 0.92.0 ± 0.92.4 ± 0.80.074
 LDL-cholesterol, mmol/L7.0 ± 1.15.7 ± 0.57.3 ± 1.10.032
COVID-19 severity, n (%)0.021
 Non-severe47 (71.2%)19 (90.5%)28 (62.2%)
 Severe19 (28.8%)2 (9.5%)17 (37.8%)

Data are expressed as mean ± SD, medians and inter-quartile range or percentage.

Baseline characteristics of MAFLD patients with laboratory-confirmed COVID-19 according to obesity status. Data are expressed as mean ± SD, medians and inter-quartile range or percentage. As shown in Supplementary Table 1, there were 47 (71.2%) patients with non-severe COVID-19 and 19 (28.8%) with severe COVID-19. Compared to those with non-severe COVID-19, patients with severe disease were more obese (89.5% vs. 59.6%, p = 0.021). They were also more likely to be smokers (26.3% vs. 6.4%, p = 0.038), and had higher C-reactive protein concentrations (median 52.7 [IQR 33.5–74.9] vs. 18.3 [4.6–24.9], p < 0.001) and lower lymphocyte counts (median 1.0 [IQR 0.8–1.2] vs. 1.4 [1.1–1.7], p = 0.005). As shown in Supplementary Table 1, there were 47 (71.2%) patients with non-severe COVID-19 and 19 (28.8%) with severe COVID-19. Compared to those with non-severe COVID-19, patients with severe disease were more obese (89.5% vs. 59.6%, p = 0.021). They were also more likely to be smokers (26.3% vs. 6.4%, p = 0.038), and had higher C-reactive protein concentrations (median 52.7 [IQR 33.5–74.9] vs. 18.3 [4.6–24.9], p < 0.001) and lower lymphocyte counts (median 1.0 [IQR 0.8–1.2] vs. 1.4 [1.1–1.7], p = 0.005). As shown in Table 2 , in the unadjusted logistic regression model with COVID-19 severity as the outcome, the presence of obesity in MAFLD patients was associated with a ~6-fold increased risk of severe COVID-19 illness (unadjusted OR 5.77, 95% CI 1.19–27.91, p = 0.029). Notably, this association with obesity and COVID-19 severity remained significant (adjusted-OR 6.32, 95%CI 1.16–34.54, p = 0.033) even after adjusting for age, sex, smoking, diabetes, hypertension, and dyslipidaemia.
Table 2

Multivariable-adjusted association between obesity (as exposure) and COVID-19 severity (as the outcome) in patients with MAFLD.

OR95% CIP value
Unadjusted5.771.19–27.910.029
Adjusted model I6.251.23–31.710.027
Adjusted model II6.321.16–34.540.033

Model 1: adjusted for age and sex.

Model 2: adjusted for age, sex, smoking, type 2 diabetes, hypertension, and dyslipidemia.

Multivariable-adjusted association between obesity (as exposure) and COVID-19 severity (as the outcome) in patients with MAFLD. Model 1: adjusted for age and sex. Model 2: adjusted for age, sex, smoking, type 2 diabetes, hypertension, and dyslipidemia. Our results show that in MAFLD patients with laboratory-confirmed COVID-19, the presence of obesity markedly increases the risk of having severe illness. This association remained significant after adjusting for likely confounders. We reported previously that obesity is associated with a nearly 3-fold increased risk for severe COVID-19 with a dose-effect relationship between increasing BMI and the proportion of patients with severe illness [11]. In the current analysis, the risk of severe illness in MAFLD patients with co-existing obesity was >6-fold greater after adjustment for confounders. These findings are distinct, suggesting that the risk of obesity to COVID-19 severity is significantly greater in those with MAFLD. However, the virological and physiological mechanisms underlying the relationship we observed are not clarified by the present data. Systemic inflammatory response syndrome, a common complication in severe COVID-19 [12], is promoted by the activation of CD14+ and CD16+ inflammatory monocytes producing a larger amount of interleukin (IL)-6 and other proinflammatory factors. This suggests IL-6 is a key proinflammatory factor that triggers the inflammatory “storm” in patients [13]. In MAFLD patients, particularly those with obesity, increased inflammatory activity in the liver and visceral fat is independently correlated with increased levels of IL-6 [14], which might have an additive/synergistic role in promoting greater severity of COVID-19. It is conceivable that the secretion of hepatokines for example, reduced adiponectin or the altered secretion of inflammatory lipid mediators in obese patients with MAFLD [15], may also contribute to the current observations. While this is the first multi-center study to investigate obesity as a possible risk factor for severe COVID-19 illness in patients with MAFLD, some limitations should be recognized. Patients included in our study did not undergo liver biopsy, thus COVID-19 severity in relation to liver histology could not be assessed. Waist circumference, a risk factor for MAFLD, was not measured in our patients, which precluded adjustment of this confounder. In addition, patients were of Asian ethnicity and thus the applicability of the results to other ethnic groups is uncertain. Additional studies will be needed to confirm these findings and to better understand the underlying mechanisms for why the association with obesity is greater in those with MAFLD. In conclusion, our data demonstrate that the risk of obesity to COVID-19 severity is greater in those with, than those without MAFLD. The following is the supplementary data related to this article.

Supplementary Table 1

Baseline characteristics of MAFLD patients according to COVID-19 severity. Supplementary data to this article can be found online at https://doi.org/10.1016/j.metabol.2020.154244.

Declaration of competing interest

All authors declare no conflict of interests.
  118 in total

Review 1.  Perspectives: potential therapeutic approach with inhalation of ACE2-derived peptides for SARS-CoV-2 infection.

Authors:  Rossella Talotta; Erle S Roberston
Journal:  Am J Clin Exp Immunol       Date:  2020-12-15

2.  Clinical Characteristics and Outcomes in Patients With Coronavirus Disease 2019 and Multiple Sclerosis.

Authors:  Céline Louapre; Nicolas Collongues; Bruno Stankoff; Claire Giannesini; Caroline Papeix; Caroline Bensa; Romain Deschamps; Alain Créange; Abir Wahab; Jean Pelletier; Olivier Heinzlef; Pierre Labauge; Laurent Guilloton; Guido Ahle; Mathilde Goudot; Kevin Bigaut; David-Axel Laplaud; Sandra Vukusic; Catherine Lubetzki; Jérôme De Sèze; Fayçal Derouiche; Ayman Tourbah; Guillaume Mathey; Marie Théaudin; François Sellal; Marie-Hélène Dugay; Helene Zéphir; Patrick Vermersch; Françoise Durand-Dubief; Romain Françoise; Géraldine Androdias-Condemine; Julie Pique; Pékès Codjia; Caroline Tilikete; Véronique Marcaud; Christine Lebrun-Frenay; Mikael Cohen; Aurelian Ungureanu; Elisabeth Maillart; Ysoline Beigneux; Thomas Roux; Jean-Christophe Corvol; Amandine Bordet; Yanica Mathieu; Frédérique Le Breton; Dalia Dimitri Boulos; Olivier Gout; Antoine Guéguen; Antoine Moulignier; Marine Boudot; Audrey Chardain; Sarah Coulette; Eric Manchon; Samar S. Ayache; Thibault Moreau; Pierre-Yves Garcia; Deiva Kumaran; Giovanni Castelnovo; Eric Thouvenot; Julien Poupart; Arnaud Kwiatkowski; Gilles Defer; Nathalie Derache; Pierre Branger; Damien Biotti; Jonathan Ciron; Christine Clerc; Mathieu Vaillant; Laurent Magy; Alexis Montcuquet; Philippe Kerschen; Marc Coustans; Anne-Marie Guennoc; Bruno Brochet; Jean-Christophe Ouallet; Aurélie Ruet; Cécile Dulau; Sandrine Wiertlewski; Eric Berger; Dan Buch; Bertrand Bourre; Maud Pallix-Guiot; Aude Maurousset; Bertrand Audoin; Audrey Rico; Adil Maarouf; Gilles Edan; Jérémie Papassin; Dorothée Videt
Journal:  JAMA Neurol       Date:  2020-09-01       Impact factor: 18.302

3.  An update from the Canadian Association for the Study of the Liver on the management of liver disease during the COVID-19 pandemic.

Authors:  Mayur Brahmania; Stephen Congly; Saumya Jayakumar; Carla S Coffin; Kelly W Burak; Jordan J Feld
Journal:  Can Liver J       Date:  2020-11-17

4.  Association of Obesity With COVID-19 Severity and Mortality: An Updated Systemic Review, Meta-Analysis, and Meta-Regression.

Authors:  Romil Singh; Sawai Singh Rathore; Hira Khan; Smruti Karale; Yogesh Chawla; Kinza Iqbal; Abhishek Bhurwal; Aysun Tekin; Nirpeksh Jain; Ishita Mehra; Sohini Anand; Sanjana Reddy; Nikhil Sharma; Guneet Singh Sidhu; Anastasios Panagopoulos; Vishwanath Pattan; Rahul Kashyap; Vikas Bansal
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-03       Impact factor: 6.055

Review 5.  Coronavirus disease 2019 pandemic and alterations of body composition.

Authors:  Edda Cava; Salvatore Carbone
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2021-05-01       Impact factor: 4.294

6.  The role of liver steatosis as measured with transient elastography and transaminases on hard clinical outcomes in patients with COVID-19.

Authors:  Isabel Campos-Varela; Ares Villagrasa; Macarena Simon-Talero; Mar Riveiro-Barciela; Meritxell Ventura-Cots; Lara Aguilera-Castro; Patricia Alvarez-Lopez; Emilie A Nordahl; Adrian Anton; Juan Bañares; Claudia Barber; Ana Barreira-Diaz; Betina Biagetti; Laura Camps-Relats; Andrea Ciudin; Raul Cocera; Cristina Dopazo; Andrea Fernandez; Cesar Jimenez; Maria M Jimenez; Mariona Jofra; Clara Gil; Concepción Gomez-Gavara; Danila Guanozzi; Jorge A Guevara; Beatriz Lobo; Carolina Malagelada; Joan Martinez-Camprecios; Luis Mayorga; Enric Miret; Elizabeth Pando; Ana Pérez-Lopez; Marc Pigrau; Alba Prio; Jesus M Rivera-Esteban; Alba Romero; Stephanie Tasayco; Judit Vidal-Gonzalez; Laura Vidal; Beatriz Minguez; Salvador Augustin; Joan Genesca
Journal:  Therap Adv Gastroenterol       Date:  2021-05-30       Impact factor: 4.409

Review 7.  Gastroenterology and liver disease during COVID-19 and in anticipation of post-COVID-19 era: Current practice and future directions.

Authors:  Katerina G Oikonomou; Panagiotis Papamichalis; Tilemachos Zafeiridis; Maria Xanthoudaki; Evangelia Papapostolou; Asimina Valsamaki; Konstantinos Bouliaris; Michail Papamichalis; Marios Karvouniaris; Panagiotis J Vlachostergios; Apostolia-Lemonia Skoura; Apostolos Komnos
Journal:  World J Clin Cases       Date:  2021-07-06       Impact factor: 1.337

Review 8.  Nonalcoholic fatty liver disease and COVID-19: An epidemic that begets pandemic.

Authors:  Musaab Ahmed; Mohamed H Ahmed
Journal:  World J Clin Cases       Date:  2021-06-16       Impact factor: 1.337

Review 9.  The negative impact of obesity on the occurrence and prognosis of the 2019 novel coronavirus (COVID-19) disease: a systematic review and meta-analysis.

Authors:  Tahereh Raeisi; Hadis Mozaffari; Nazaninzahra Sepehri; Mina Darand; Bahman Razi; Nazila Garousi; Mohammad Alizadeh; Shahab Alizadeh
Journal:  Eat Weight Disord       Date:  2021-07-11       Impact factor: 3.008

Review 10.  Inflammation and thrombosis in COVID-19 pathophysiology: proteinase-activated and purinergic receptors as drivers and candidate therapeutic targets.

Authors:  Krishna Sriram; Paul A Insel
Journal:  Physiol Rev       Date:  2020-10-30       Impact factor: 37.312

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.