Your browser doesn't support javascript.
Coronary artery calcification on low-dose chest CT is an early predictor of severe progression of COVID-19-A multi-center, multi-vendor study.
Fervers, Philipp; Kottlors, Jonathan; Große Hokamp, Nils; Bremm, Johannes; Maintz, David; Tritt, Stephanie; Safarov, Orkhan; Persigehl, Thorsten; Vollmar, Nils; Bansmann, Paul Martin; Abdullayev, Nuran.
  • Fervers P; Department of Radiology, University Hospital of Cologne, Cologne, Germany.
  • Kottlors J; Department of Radiology, University Hospital of Cologne, Cologne, Germany.
  • Große Hokamp N; Department of Radiology, University Hospital of Cologne, Cologne, Germany.
  • Bremm J; Department of Radiology, University Hospital of Cologne, Cologne, Germany.
  • Maintz D; Department of Radiology, University Hospital of Cologne, Cologne, Germany.
  • Tritt S; Department of Radiology, Helios Dr. Horst Schmidt Kliniken Wiesbaden, Wiesbaden, Germany.
  • Safarov O; Department of Radiology, Helios Dr. Horst Schmidt Kliniken Wiesbaden, Wiesbaden, Germany.
  • Persigehl T; Department of Radiology, University Hospital of Cologne, Cologne, Germany.
  • Vollmar N; Department of Radiology, Krankenhaus Porz am Rhein, Cologne, Germany.
  • Bansmann PM; Department of Radiology, Krankenhaus Porz am Rhein, Cologne, Germany.
  • Abdullayev N; Department of Radiology, University Hospital of Cologne, Cologne, Germany.
PLoS One ; 16(7): e0255045, 2021.
Article in English | MEDLINE | ID: covidwho-1319524
ABSTRACT

PURPOSE:

Cardiovascular comorbidity anticipates severe progression of COVID-19 and becomes evident by coronary artery calcification (CAC) on low-dose chest computed tomography (LDCT). The purpose of this study was to predict a patient's obligation of intensive care treatment by evaluating the coronary calcium burden on the initial diagnostic LDCT.

METHODS:

Eighty-nine consecutive patients with parallel LDCT and positive RT-PCR for SARS-CoV-2 were included from three centers. The primary endpoint was admission to ICU, tracheal intubation, or death in the 22-day follow-up period. CAC burden was represented by the Agatston score. Multivariate logistic regression was modeled for prediction of the primary endpoint by the independent variables "Agatston score > 0", as well as the CT lung involvement score, patient sex, age, clinical predictors of severe COVID-19 progression (history of hypertension, diabetes, prior cardiovascular event, active smoking, or hyperlipidemia), and laboratory parameters (creatinine, C-reactive protein, leucocyte, as well as thrombocyte counts, relative lymphocyte count, d-dimer, and lactate dehydrogenase levels).

RESULTS:

After excluding multicollinearity, "Agatston score >0" was an independent regressor within multivariate analysis for prediction of the primary endpoint (p<0.01). Further independent regressors were creatinine (p = 0.02) and leucocyte count (p = 0.04). The Agatston score was significantly higher for COVID-19 cases which completed the primary endpoint (64.2 [interquartile range 1.7-409.4] vs. 0 [interquartile range 0-0]).

CONCLUSION:

CAC scoring on LDCT might help to predict future obligation of intensive care treatment at the day of patient admission to the hospital.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Coronary Artery Disease / Calcinosis / Radiography, Thoracic / Disease Progression / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans / Male / Middle aged Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0255045

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Coronary Artery Disease / Calcinosis / Radiography, Thoracic / Disease Progression / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans / Male / Middle aged Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0255045