Predicting the outcome in confirmed COVID-19 patients with coronary artery disease: a key role for the first chest computed tomography

The Egyptian Heart Journal

Seyyed Mojtaba Ghorashi¹  Shapour Shirani²  Mojtaba Salarifar²  Hamidreza Poorhosseini³  Negar Omidi⁴  Afsaneh Aein⁴  Masoumeh Lotfi-Tokaldany⁴ 

[1] Cardiology Department, Tehran Heart Center, Tehran University of Medical Sciences;Imaging Department, Tehran Heart Center, Tehran University of Medical Sciences;Interventional Cardiology Department, Tehran Heart Center, Tehran University of Medical Sciences;Research Department, Tehran Heart Center, Tehran University of Medical Sciences;

关键词: Chest;    Computed tomography;    COVID-19;    Score;    Coronary artery disease;   

DOI  :  10.1186/s43044-021-00148-7

来源: DOAJ

【 摘 要 】

Abstract Background Serial chest computed tomography (CT) scans are used to detect coronavirus disease 2019 (COVID-19) pneumonia and monitor the disease course. This study investigates relationship between total severity score by first chest CT and the outcome of coronavirus COVID-19 patients with coronary artery disease (CAD). Results A total of 48 patients with a history of CAD (mean age=60.83±3.06 years, 75% male) with positive real-time reverse transcription-polymerase chain reaction for COVID-19 were included. Outcome was defined as acute respiratory distress syndrome or death. The unadjusted and adjusted effects of the CT score on the outcome were reported through odds ratio (OR) with 95% confidence interval (CI). Outcome occurred in 17 (35.5%) patients (8 deaths). The CT score was directly and significantly correlated with the outcome in the univariate analysis (OR 1.38, 95% CI 1.12–1.70; P=0.003) and remained significant after adjustment for diabetes, hypertension, body mass index, and serum level of highly sensitive C-reactive protein (OR 1.51, 95% CI 1.11–2.05; P=0.009). Outcome rate was 24.1% in patients with a CT score <2.5, whereas it was 8.3% in patients with a CT score>2.5. Conclusions The first chest CT score could be a robust predictor of adverse events in confirmed COVID-19 patients with coronary artery disease.

【 授权许可】

Unknown