tetano
Editor, Senior Moderator
In Vivo
. 2024 Jan-Feb;38(1):281-285.
doi: 10.21873/invivo.13436. Epicardial Adipose Tissue as a Prognostic Marker in COVID-19
Hans-Jonas Meyer[SUP] #[/SUP][SUP] 1 [/SUP], Anar Aghayev[SUP] #[/SUP][SUP] 2 [/SUP], Mattes Hinnrichs[SUP] 2 [/SUP], Jan Borggrefe[SUP] 3 [/SUP], Alexey Surov[SUP] 3 [/SUP]
Affiliations
Background/aim: Epicardial adipose tissue (EAT) has been established as a quantitative imaging biomarker associated with the prognosis of several diseases, especially cardiovascular diseases. The cardiac injury by coronavirus disease 2019 (COVID-19) might be linked to the EAT. This study aimed to use this prognostic marker derived from computed tomography (CT) images to predict 30-day mortality in patients with COVID-19.
Patients and methods: Consecutive patients with COVID-19 were retrospectively screened between 2020 and 2022. Overall, 237 patients (78 female, 32.9%) were included in the present study. The study end-point was the 30-day mortality. EAT was measured using the diagnostic CT in a semiquantitative manner. EAT volume and density were measured for each patient.
Results: Overall, 70 patients (29.5%) died within the 30-day observation period and 143 patients (60.3%) were admitted to the intensive care unit (ICU). The mean EAT volume was 140.9±89.1 cm[SUP]3[/SUP] in survivors and 132.9±77.7 cm[SUP]3[/SUP] in non-survivors, p=0.66. The mean EAT density was -71.9±8.1 Hounsfield units (HU) in survivors, and -67.3±8.4 HU in non-survivors, p=0.0001. EAT density was associated with 30-day mortality (p<0.0001) and ICU admission (p<0.0001). EAT volume was not associated with mortality and/or ICU admission.
Conclusion: EAT density was associated with 30-day mortality and ICU admission in patients with COVID-19.
Keywords: COVID-19; CT; Epicardial adipose tissue.
. 2024 Jan-Feb;38(1):281-285.
doi: 10.21873/invivo.13436. Epicardial Adipose Tissue as a Prognostic Marker in COVID-19
Hans-Jonas Meyer[SUP] #[/SUP][SUP] 1 [/SUP], Anar Aghayev[SUP] #[/SUP][SUP] 2 [/SUP], Mattes Hinnrichs[SUP] 2 [/SUP], Jan Borggrefe[SUP] 3 [/SUP], Alexey Surov[SUP] 3 [/SUP]
Affiliations
- PMID: 38148083
- DOI: 10.21873/invivo.13436
Background/aim: Epicardial adipose tissue (EAT) has been established as a quantitative imaging biomarker associated with the prognosis of several diseases, especially cardiovascular diseases. The cardiac injury by coronavirus disease 2019 (COVID-19) might be linked to the EAT. This study aimed to use this prognostic marker derived from computed tomography (CT) images to predict 30-day mortality in patients with COVID-19.
Patients and methods: Consecutive patients with COVID-19 were retrospectively screened between 2020 and 2022. Overall, 237 patients (78 female, 32.9%) were included in the present study. The study end-point was the 30-day mortality. EAT was measured using the diagnostic CT in a semiquantitative manner. EAT volume and density were measured for each patient.
Results: Overall, 70 patients (29.5%) died within the 30-day observation period and 143 patients (60.3%) were admitted to the intensive care unit (ICU). The mean EAT volume was 140.9±89.1 cm[SUP]3[/SUP] in survivors and 132.9±77.7 cm[SUP]3[/SUP] in non-survivors, p=0.66. The mean EAT density was -71.9±8.1 Hounsfield units (HU) in survivors, and -67.3±8.4 HU in non-survivors, p=0.0001. EAT density was associated with 30-day mortality (p<0.0001) and ICU admission (p<0.0001). EAT volume was not associated with mortality and/or ICU admission.
Conclusion: EAT density was associated with 30-day mortality and ICU admission in patients with COVID-19.
Keywords: COVID-19; CT; Epicardial adipose tissue.