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. 2020 Dec 30;15(12):e0244707.
doi: 10.1371/journal.pone.0244707. eCollection 2020.

Coronary calcium scoring assessed on native screening chest CT imaging as predictor for outcome in COVID-19: An analysis of a hospitalized German cohort

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Coronary calcium scoring assessed on native screening chest CT imaging as predictor for outcome in COVID-19: An analysis of a hospitalized German cohort

Gregor S Zimmermann et al. PLoS One. .

Abstract

Background: Since the outbreak of the COVID-19 pandemic, a number of risk factors for a poor outcome have been identified. Thereby, cardiovascular comorbidity has a major impact on mortality. We investigated whether coronary calcification as a marker for coronary artery disease (CAD) is appropriate for risk prediction in COVID-19.

Methods: Hospitalized patients with COVID-19 (n = 109) were analyzed regarding clinical outcome after native computed tomography (CT) imaging for COVID-19 screening. CAC (coronary calcium score) and clinical outcome (need for intensive care treatment or death) data were calculated following a standardized protocol. We defined three endpoints: critical COVID-19 and transfer to ICU, fatal COVID-19 and death, composite endpoint critical and fatal COVID-19, a composite of ICU treatment and death. We evaluated the association of clinical outcome with the CAC. Patients were dichotomized by the median of CAC. Hazard ratios and odds ratios were calculated for the events death or ICU or a composite of death and ICU.

Results: We observed significantly more events for patients with CAC above the group's median of 31 for critical outcome (HR: 1.97[1.09,3.57], p = 0.026), for fatal outcome (HR: 4.95[1.07,22.9], p = 0.041) and the composite endpoint (HR: 2.31[1.28,4.17], p = 0.0056. Also, odds ratio was significantly increased for critical outcome (OR: 3.01 [1.37, 6.61], p = 0.01) and for fatal outcome (OR: 5.3 [1.09, 25.8], p = 0.02).

Conclusion: The results indicate a significant association between CAC and clinical outcome in COVID-19. Our data therefore suggest that CAC might be useful in risk prediction in patients with COVID-19.

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Conflict of interest statement

The authors have declared that no competing interests exists.

Figures

Fig 1
Fig 1. Quantification of calcified plaque burden in the LAD in the native COVID-19 screening CT in two representative patients a) 70 yrs, male b) 53 yrs, male.
Both patients had a prolonged period >14 days on intensive care unit.
Fig 2
Fig 2. Kaplan-Meier-curves for critical outcome (a), for composite endpoint death or intensive care unit treatment (b) and fatal outcome (c).
A significant reduction of event free survival could be shown for the critical outcome (p = 0.02), composite endpoint (p = 0.003) and death (p = 0.02).

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Grants and funding

The authors received no specific funding for this work.