Epicardial adipose tissue, inflammatory biomarkers and COVID-19: Is there a possible relationship?

Abrishami, Alireza; Eslami, Vahid; Baharvand, Zahra; Khalili, Nastaran; Saghamanesh, Somayeh; Zarei, Ehsan; Sanei-Taheri, Morteza

doi:10.1016/j.intimp.2020.107174

Cited by 25 publications

(24 citation statements)

References 37 publications

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“…Third, Abrishami et al . found discordant results on the influence of EAT on COVID-19 prognosis in Iranian patients [ 30 , 31 ]. EAT volume was only associated with upper-zone lung involvement, but not with death.…”

Section: Discussionmentioning

confidence: 99%

“…EAT volume was only associated with upper-zone lung involvement, but not with death. Lower EAT density was a marker of poor disease prognosis/death [ 30 ]. This association disappeared in their multivariable model.…”

Section: Discussionmentioning

confidence: 99%

“…They included very specific populations: patients with very severe forms [ 16 ], and in the second, a cohort of Chinese patients under 40 years of age with a low proportion of obesity [ 17 ]. However, no such possible association was suggested in a third related study [ 30 , 31 ]. No data on weight were available in the latter.…”

Section: Introductionmentioning

confidence: 98%

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Epicardial adipose tissue and severe Coronavirus Disease 19

Bihan

Heidar

Beloeuvre

et al. 2021

Cardiovasc Diabetol

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Background Both visceral adipose tissue and epicardial adipose tissue (EAT) have pro-inflammatory properties. The former is associated with Coronavirus Disease 19 (COVID-19) severity. We aimed to investigate whether an association also exists for EAT. Material and methods We retrospectively measured EAT volume using computed tomography (CT) scans (semi-automatic software) of inpatients with COVID-19 and analyzed the correlation between EAT volume and anthropometric characteristics and comorbidities. We then analyzed the clinicobiological and radiological parameters associated with severe COVID-19 (O2 $$\ge$$ ≥ 6 l/min), intensive care unit (ICU) admission or death, and 25% or more CT lung involvement, which are three key indicators of COVID-19 severity. Results We included 100 consecutive patients; 63% were men, mean age was 61.8 ± 16.2 years, 47% were obese, 54% had hypertension, 42% diabetes, and 17.2% a cardiovascular event history. Severe COVID-19 (n = 35, 35%) was associated with EAT volume (132 ± 62 vs 104 ± 40 cm3, p = 0.02), age, ferritinemia, and 25% or more CT lung involvement. ICU admission or death (n = 14, 14%) was associated with EAT volume (153 ± 67 vs 108 ± 45 cm3, p = 0.015), hypertension and 25% or more CT lung involvement. The association between EAT volume and severe COVID-19 remained after adjustment for sex, BMI, ferritinemia and lung involvement, but not after adjustment for age. Instead, the association between EAT volume and ICU admission or death remained after adjustment for all five of these parameters. Conclusions Our results suggest that measuring EAT volume on chest CT scans at hospital admission in patients diagnosed with COVID-19 might help to assess the risk of disease aggravation.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Epicardial adipose tissue and severe Coronavirus Disease 19

Bihan

Heidar

Beloeuvre

et al. 2021

Cardiovasc Diabetol

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“…clinical deterioration or death) [169] and are more susceptible to myocardial injury [170] and to the development of new-onset AF [171]. Other studies however found no differing EAT volumes for survivors and those who die of COVID-19 [172] or for those who have more severe outcomes [173].…”

Section: Quantification Of Epicardial Adipose Tissuementioning

confidence: 99%

Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review

Tolonen

Pakarinen

Sassi

et al. 2021

European Journal of Radiology

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“…C-reactive protein (CRP), serum lactate dehydrogenase (LDH), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-CRP ratio (LCR), and platelet-to-lymphocyte ratio (PLR) were all inflammatory markers, which are easily accessible through daily-performed laboratory tests. Abrishami et al identified serum LDH as a single biomarker to independently predict COVID-19-related death [ 3 ], while Cheng et al showed NLR to be an effective predictor of disease progression in COVID-19 [ 4 ]. In addition, exclusion criteria should be set more clearly.…”

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confidence: 99%