• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

J Cardiol . Influence of obesity on incidence of thrombosis and disease severity in patients with COVID-19: From the CLOT-COVID study

tetano

Editor, Senior Moderator
J Cardiol


. 2022 Aug 29;S0914-5087(22)00219-2.
doi: 10.1016/j.jjcc.2022.08.011. Online ahead of print.
Influence of obesity on incidence of thrombosis and disease severity in patients with COVID-19: From the CLOT-COVID study


Yoshito Ogihara[SUP] 1 [/SUP], Sen Yachi[SUP] 2 [/SUP], Makoto Takeyama[SUP] 2 [/SUP], Yuji Nishimoto[SUP] 3 [/SUP], Ichizo Tsujino[SUP] 4 [/SUP], Junichi Nakamura[SUP] 4 [/SUP], Naoto Yamamoto[SUP] 5 [/SUP], Hiroko Nakata[SUP] 6 [/SUP], Satoshi Ikeda[SUP] 7 [/SUP], Michihisa Umetsu[SUP] 8 [/SUP], Shizu Aikawa[SUP] 9 [/SUP], Hiroya Hayashi[SUP] 10 [/SUP], Hirono Satokawa[SUP] 11 [/SUP], Yoshinori Okuno[SUP] 12 [/SUP], Eriko Iwata[SUP] 13 [/SUP], Nobutaka Ikeda[SUP] 14 [/SUP], Akane Kondo[SUP] 15 [/SUP], Takehisa Iwai[SUP] 16 [/SUP], Norikazu Yamada[SUP] 17 [/SUP], Tomohiro Ogawa[SUP] 18 [/SUP], Takao Kobayashi[SUP] 5 [/SUP], Makoto Mo[SUP] 19 [/SUP], Yugo Yamashita[SUP] 12 [/SUP], CLOT-COVID Study Investigators



Affiliations

Abstract

Background: The influence of obesity on the development of thrombosis and severity of coronavirus disease 2019 (COVID-19) remains unclear.
Method: The CLOT-COVID study was a retrospective multicenter cohort study enrolling 2894 consecutive hospitalized patients with COVID-19 between April 2021 and September 2021 among 16 centers in Japan. The present study consisted of 2690 patients aged over 18 years with available body mass index (BMI), who were divided into an obesity group (BMI ≥30) (N = 457) and a non-obesity group (BMI <30) (N = 2233).
Results: The obesity group showed more severe status of COVID-19 at admission compared with the non-obesity group. The incidence of thrombosis was not significantly different between the groups (obesity group: 2.6 % versus non-obesity group: 1.9 %, p = 0.39), while the incidence of a composite outcome of all-cause death, or requirement of mechanical ventilation or extracorporeal membrane oxygenation during hospitalization was significantly higher in the obesity group (20.1 % versus 15.0 %, p < 0.01). After adjusting confounders in the multivariable logistic regression model, the risk of obesity relative to non-obesity for thrombosis was not significant (adjusted OR, 1.39; 95 % CI, 0.68-2.84, p = 0.37), while the adjusted risk of obesity relative to non-obesity for the composite outcome was significant (adjusted OR, 1.85; 95 % CI, 1.39-2.47, p < 0.001).
Conclusions: In the present large-scale observational study, obesity was not significantly associated with the development of thrombosis during hospitalization; however, it was associated with severity of COVID-19.

Keywords: Coronavirus disease 2019; Obesity; Severity; Thrombosis.
 
Back
Top Bottom