Impact of body composition on patient prognosis after SARS-Cov-2 infection
PLOS ONE
RESEARCH ARTICLE
Impact of body composition on patient
prognosis after SARS-Cov-2 infection
Takayuki Yamamoto1, Kazushi Sugimoto2, Syuhei Ichikawa1, Kei Suzuki3,
Hideki Wakabayashi1, Kaoru Dohi ID4, Norihiko Yamamoto ID1*
1 Department of General Medicine, Mie University Hospital, Tsu, Japan, 2 Department of Clinical Laboratory,
Mie University Hospital, Tsu, Japan, 3 Department of Infectious Disease, Mie University Hospital, Tsu,
Japan, 4 Department of Cardiology and Nephrology, Mie University Hospital, Tsu, Japan
*
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Abstract
Background
OPEN ACCESS
Citation: Yamamoto T, Sugimoto K, Ichikawa S,
Suzuki K, Wakabayashi H, Dohi K, et al. (2023)
Impact of body composition on patient prognosis
after SARS-Cov-2 infection. PLoS ONE 18(7):
e0289206. https://doi.org/10.1371/journal.
pone.0289206
Editor: Jun Mori, Osaka City General Hospital,
Children’s Medical Center, JAPAN
Received: January 16, 2023
Accepted: July 13, 2023
Published: July 28, 2023
Peer Review History: PLOS recognizes the
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https://doi.org/10.1371/journal.pone.0289206
Copyright: © 2023 Yamamoto et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Data Availability Statement: All relevant data are
within the paper and its Supporting Information
files.
Since the first outbreak of coronavirus disease 2019 (COVID-19), it has been reported that
several factors, including hypertension, type 2 diabetes mellitus, and obesity, have close
relationships with a severe clinical course. However, the relationship between body composition and the prognosis of COVID-19 has not yet been fully studied.
Methods
The present study enrolled 76 consecutive COVID-19 patients with computed tomography
(CT) scans from the chest to the pelvis at admission. The patients who needed intubation
and mechanical ventilation were defined as severe cases. Patients were categorized into
four groups according to their body mass index (BMI). The degree of hepatic steatosis was
estimated by the liver/spleen (L/S) ratio of the CT values. Visceral fat area (VFA), psoas
muscle area (PMA), psoas muscle mass index (PMI), and intra-muscular adipose tissue
content (IMAC) were measured by CT scan tracing. These parameters were compared
between non-severe and severe cases.
Results
Severe patients had significantly higher body weight, higher BMI, and greater VFA than
non-severe patients. However, these parameters did not have an effect on disease mortality. Furthermore, severe cases had higher IMAC than non-severe cases in the non-obese
group.
Conclusions
Our data suggest high IMAC can be a useful predictor for severe disease courses of
COVID-19 in non-obese Japanese patients, however, it does not predict either disease
severity in obese patients or mortality in any obesity grade.
PLOS ONE | https://doi.org/10.1371/journal.pone.0289206 July 28, 2023
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PLOS ONE
Funding: The author(s) received no specific
funding for this work.
Competing interests: The authors have declared
that no competing interests exist.
Abbreviations: COVID-19, coronavirus disease
2019; BMI, body mass index; VFA, visceral fat area;
PMA, psoas muscle area; PMI, psoas muscle mass
index; IMAC, intra-muscular adipose tissue
content; SARS-Cov-2, Respiratory SyndromeCoronavirus-2.
Impact of body composition on patient prognosis after SARS-Cov-2 infection
Introduction
Since the first outbreak in Wuhan, China in 2019, coronavirus disease 2019 (COVID-19),
which is caused by Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-Cov-2), has
spread worldwide. While most cases of other coronavirus infections were acute and cleared
quickly, COVID-19 has sometimes been fatal, with a mortality rate of around 2% initially [1],
and the most common cause of death was acute respiratory distress syndrome (ARDS).
Factors that can predict disease severity and worse outcomes in COVID-19 patients have
been investigated in many studies. In these studies, it was suggested that several risk factors
were associated with worse disease outcomes, including high age [2], type 2 diabetes mellitus
(T2DM) [3], and cardiovascular disease (CVD) [4]. In addition, many studies, including a
meta-analysis, showed the COVID-19 patients with obesity had a worse disease course [5–7].
For example, Zhang et al. analyzed 22 cohort studies from seven countries performed in the
first six months of the pandemic and showed that obese patients had more severe disease than
non-obese patients and were more likely to develop ARDS or need invasive mechanical ventilation, but obesity per se. was not associated with the mortality of COVID-19 [6]. Another
study by Chu et al. also found that, though obesity was a risk factor for severe COVID-19,
especially in younger patients, it did not increase the risk of hospital mortality [5].
In most studies that linked obesity and COVID-19 outcome, obesity was assessed by body
mass index (BMI). However, using the BMI to determine obesity has several problems. First,
the definition of obesity is different across countries. For instance, the diagnostic criterion for
obesity is BMI � 30 kg/m2 in the United States and European countries, but patients with
BMI � 25 kg/m2 are diagnosed as obese in Japan. In fact, two previous meta-analyses by
Zhang and Wang included studies that had different BMI cut-offs to define obesity. Second,
because BMI is calculated only by body weight and height, it sometimes does not reflect body
composition precisely. A certain number of individuals have excess body fat despite a normal
BMI, and these individuals usually have excess visceral fat, which leads to insulin resistance,
T2DM, hypertension, and metabolic syndrome, as well as obese individuals. Therefore, we
may miss the patients who potentially have the same risks as obese patients by assessing BMI
alone. For this reason, Stevanovic et al. examined the effects of body and visceral fat mass on
the course and outcome of COVID-19 in Serbian patients, and they found that these parameters were stronger predictors of outcome than BMI alone [8]. Furthermore, it has recently
been reported that body composition indices, such as muscle mass or degree of muscular fatty
degeneration, are also related to worse prognoses of several diseases, including malignant disease and acute illness [9–12]. However, the relationship with the outcome of COVID-19 has
not yet been fully clarified.
Taking these findings from previous studies into account, in the current study, the impacts
of body composition indices, including the psoas muscle mass index (...truncated)