Extension of COVID-19 pulmonary parenchyma lesions based on real-life visual assessment on initial chest CT is an independent predictor of poor patient outcome

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Acknowledgements

The authors are indebted to all persons who were involved in the Beaujon Hospital COVID-19 response.

Disclosure statement

The authors declare no conflicts of interest than pertain to this work.

Figure 1. Forrest plot showing hazard ratios (95% confidence interval) for the risk of unfavourable outcome (need of artificial ventilation and/or death) by multivariate analysis. Multivariable Cox proportional hazard regression model was adjusted on clinical and biological significant data in the univariate analysis. adjusted on clinical and biological significant data in the univariate analysis (i.e., age, body mass index, respiratory rate, temperature, C-reactive protein, lymphocytes count and D-dimers). HR: hazard ratio; 95% CI: 95% confident interval. *Pulmonary extension of the lesions on chest CT (i.e., ground-glass opacities, crazy paving and/or alveolar consolidation) was visually assessed and divided in four standardized categories adapted was visually assessed and divided in four standardized categories adapted from the European recommendations.

Table 1. Patients demographics, comorbidities, symptoms, laboratory and imaging findings at admission.