Obesity Is a Risk Factor for Greater COVID-19 Severity

Gao, Feng; Zheng, Kenneth I.; Wang, Xiao Bo; Sun, Qing; Pan, Ke; Wang, Ting Yao; Chen, Yong Ping; Targher, Giovanni; Byrne, Christopher D.; George, Jacob; Zheng, Ming

doi:10.2337/dc20-0682

Cited by 389 publications

(397 citation statements)

References 3 publications

Supporting

Mentioning

356

Contrasting

Unclassified

Order By: Relevance

“…According to the previous investigations, older age has been nominated as an important risk factor for mortality in SARS and Middle East respiratory syndrome (MERS) [33,34]. Consistent with our observation, studies on COVID-19 have also reported that the increase in age was associated with a high mortality rate [15,36].…”

Section: Discussionsupporting

confidence: 90%

See 1 more Smart Citation

Risk and predictors of in-hospital mortality from COVID-19 in patients with diabetes and cardiovascular disease

Rastad

Karim

Ejtahed

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Diabetes mellitus (DM) and cardiovascular disease (CVD) are present in a large number of patients with novel Coronavirus disease 2019 (COVID-19). We aimed to determine the risk and predictors of in-hospital mortality from COVID-19 in patients with DM and CVD.Methods: This retrospective cohort study included hospitalized patients aged ≥ 18 years with confirmed COVID-19 in Alborz province, Iran, from 20 February 2020 to 25 March 2020. Data on demographic, clinical and outcome (in-hospital mortality) data were obtained from electronic medical records. Self-reported comorbidities were classified into the following groups: “DM” (having DM with or without other comorbidities), “only DM” (having DM without other comorbidities), “CVD” (having CVD with or without other comorbidities), “only CVD” (having CVD without other comorbidities), and “having any comorbidity”. Multivariate logistic regression models were fitted to quantify the risk and predictors of in-hospital mortality from COVID-19 in patients with these comorbidities.Results: Among 2957 patients with COVID-19, 2656 were discharged as cured, and 301 died. In multivariate model, DM (OR: 1.62 (95%CI: 1.14-2.30)) and only DM (1.69 (1.05-2.74)) increased the risk of death from COVID-19; but, both CVD and only CVD showed non-significant associations (p>0.05). Moreover, “having any comorbidities” increased the risk of in-hospital mortality from COVID-19 (OR: 2.66 (95%CI: 2.09 -3.40)). Significant predictors of mortality from COVID-19 in patients with DM were lymphocyte count, creatinine and C-reactive protein (CRP) level (all P- values < 0.05).Conclusions: Our findings suggest that diabetic patients have an increased risk of in-hospital mortality following COVID-19; also, lymphocyte count, creatinine and CRP concentrations could be considered as significant predictors for the death of COVID-19 in these patients.

show abstract

Section: Discussionsupporting

confidence: 90%

“…To date, the exact mechanisms underlying strong association between obesity and COVID-19 severity were not clari ed. However, it may be the consequence of low-grade chronic in ammation and suppressed immunity in obese persons [33].…”

Section: Discussionmentioning

confidence: 99%

Risk and predictors of in-hospital mortality from COVID-19 in patients with diabetes and cardiovascular disease

Rastad

Karim

Ejtahed

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Age, comorbidities, c-reactive protein, albumin, cytokine, lactate dehydrogenase, D-dimer, albumin, platelet, lymphocyte, neutrophil, smoking, cough, expectoration, chest pain, dyspnea, CT manifestations, et al, have been reported to be associated with the severity of COVID-19 in some small studies in China, [15][16][17][18][19][20][21] and other countires. 13,22,23 Jiangsu, a province in China over 600 km from Hubei without common geographical borders and 80 million population, reported over 600 patients infected with COVID-19.…”

mentioning

confidence: 99%

Clinical characteristics and risk factors of patients with severe COVID-19 in Jiangsu province, China: a retrospective multicentre cohort study

Liu

Luo²,

Wang³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Coronavirus Disease-2019 (COVID-19) has become a major health event that endangers people health throughout China and the world. Understanding the factors associated with COVID-19 disease severity could support the early identification of patients with high risk for disease progression, inform prevention and control activities, and potentially reduce mortality. This study aims to describe the characteristics of patients with COVID-19 and factors associated with severe or critically ill presentation.Methods: Multicentre retrospective cohort study of all individuals with confirmed Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infections diagnosed at 24 COVID-19-designated hospitals in Jiangsu province between the 10th January and 15th March 2020. Demographic, clinical, laboratory, and radiological data were collected at hospital admission and data on disease severity were collected at from admission. Patients were categorised as asymptomatic/mild/moderate, and severe/critically ill according to the worst level of COVID-19 recorded during hospitalisation.Results: A total of 625 patients, 64 (10.2%) were severe/critically ill and 561 (89.8%) were asymptomatic/mild/moderate. All patients were discharged and no patients died. Patients with severe/critically ill COVID-19 were more likely to be older, to be single onset (i.e. not to a cluster of cases in family/community), to have a medical history of hypertension and diabetes; had higher temperature, faster respiratory rates, lower peripheral capillary oxygen saturation (SpO2), and higher CT image quadrant scores and pulmonary opacity percentage; had increased C-reactive protein, fibrinogen, and D-dimer on admission; and had lower white blood cells, lymphocyte, and platelet counts and albumin on admission than asymptomatic/mild/moderate cases. Multivariable regression showed that odds of being a severe/critically ill case were associated with age (year) (OR 1.06, 95%CI 1.03-1.09), lymphocyte count (109/L) (OR 0.25, 95%CI 0.08-0.74), and pulmonary opacity in CT (per 5%) on admission (OR 1.31, 95%CI 1.15-1.51).Conclusions: Severe or critically ill patients with COVID-19 is about one-tenths of patients in Jiangsu. Age, lymphocyte count, and pulmonary opacity in CT on admission were associated with risk of severe or critically ill COVID-19.

show abstract

“…These are all important risk factors for cardiovascular disease, which is one of the leading causes of morbidity worldwide and is anticipated to rise substantially over the next decades [6,7]. On admission, 20-51% of COVID-19 patients reported at least one comorbidity, with the most common being diabetes (10-20%), hypertension (10-15%) and other cardiovascular metabolic comorbidities(7-40%) [8][9][10][11][12][13]. A retrospective multicenter study conducted in China revealed that patients with these comorbidities (based on self-report) on admission experienced poorer clinical outcomes than those without comorbidities [8].…”

Section: Introductionmentioning

confidence: 99%

Altered Lipid Profile is a Risk Factor for the Progression Andrecurrenceof COVID-19: From Two Retrospective Cohorts

Jin¹,

He²,

Dong³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background The COVID-19 pandemic has spread worldwide. However, the impact of lipid profile and lipid-lowering treatment on clinical endpoints in COVID-19 have not previously been investigated. Methods In this retrospective, multicenter cohort study, we consecutively enrolled 430 adult COVID-19 patients from two Chinese hospitals (one each in Chengdu and Wuhan) admitted during February 2020 and followed-up until April 30. Demographic, metabolic profile, laboratory, treatment and clinical endpoint data including in-hospital death and recurrence of COVID-19, were collected. Results In Chengdu patients, univariable and multivariable Cox regression showed that the low-density lipoprotein cholesterol (LDL-C) dyslipidemia on admission was associated with the recurrence of COVID-19 during the follow-up period. In Wuhan cohort, the patients with triglycerides hyperlipemia had an increased risk of in-hospital death. However, in both cohorts, statin therapy during COVID-19 course did not affect these clinical endpoints. Compared to the Chengdu cohort, the Wuhan patients tended to have more severe COVID-19 but, unexpectedly, had lower levels of serum lipid. It is of interesting to notice that the relationship between the observed biomarkers of inflammation and lipid do not match the relationship between the organ function measures and this lipid. Conclusions The baseline dyslipidemia should be considered as a risk factor for poor prognosis and recurrence of COVID-19. The lipid level may be altered during COVID-19 course, since lipidology may be distinctly affected by both inflammation and organic damage for SARS-CoV-2. Further investigation is needed on the role of use of lipid-lowering therapy among patients with COVID-19 infections.

show abstract

Obesity Is a Risk Factor for Greater COVID-19 Severity

Cited by 389 publications

References 3 publications

Risk and predictors of in-hospital mortality from COVID-19 in patients with diabetes and cardiovascular disease

Risk and predictors of in-hospital mortality from COVID-19 in patients with diabetes and cardiovascular disease

Clinical characteristics and risk factors of patients with severe COVID-19 in Jiangsu province, China: a retrospective multicentre cohort study

Altered Lipid Profile is a Risk Factor for the Progression Andrecurrenceof COVID-19: From Two Retrospective Cohorts

Contact Info

Product

Resources

About