Prognostic utility of the chest computed tomography severity score for the requirement of mechanical ventilation and mortality in hospitalized patients with COVID-19

Purpose

To correlate the chest computed tomography severity score (CT-SS) with the need for mechanical ventilation and mortality in hospitalized patients with COVID-19.

Materials and methods

The chest CT images of 224 inpatients with COVID-19, confirmed by reverse transcriptase-polymerase chain reaction (RT-PCR), were retrospectively reviewed from April 1 to 25, 2020, in a tertiary health care center. We calculated the CT-SS (dividing each lung into 20 segments and assigning scores of 0, 1, and 2 due to opacification involving 0%, <50%, and ≥50% of each region for a global range of 0-40 points, including both lungs), and collected clinical data. The receiver operating characteristic curve and Youden Index analysis was performed to calculate the CT-SS threshold and accuracy for classification for risk of mortality or MV requirement.

Results

136 men and 88 women were recruited, with an age range of 23-91 years and a mean of 50.17 years; 79 met the MV criteria, and 53 were nonsurvivors. The optimal threshold was >27.5 points for mortality (area under ROC curve >0.96), with a sensitivity of 93% and specificity of 87%, and >25.5 points for the need for MV (area under ROC curve >0.94), with a sensitivity of 90% and specificity of 89%. The Kaplan-Meier curves show a significant difference in mortality by the CT-SS threshold (Log Rank p < 0.001).

Conclusions

In our cohort of hospitalized patients with COVID-19, the CT-SS accurately discriminates the need for MV and mortality risk. In conjunction with clinical status and laboratory data, the CT-SS may be a useful imaging tool that could be included in establishing a prognosis for this population.

NAFLD determined by Dallas Steatosis Index is associated with poor outcomes in COVID-19 pneumonia: a cohort study

Coronavirus disease 2019 is a worldwide health challenge. Liver steatosis diagnosis based on imaging studies has been implicated in poor outcomes of COVID-19 pneumonia, but results are inconsistent. The Dallas Steatosis Index (DSI) is an available calculator developed to identify patients with non-alcoholic fatty liver disease (NAFLD). We hypothesized that it would be associated with in-hospital mortality, intensive care unit admission (ICU), and invasive mechanical ventilation (IMV). We conducted a retrospective cohort study on inpatients with confirmed COVID-19 pneumonia between February 26 and April 11, 2020. We computed the DSI on admission, and patients with high DSI were considered with NAFLD. We employed logistic regression to study the association between NAFLD, mortality, ICU admission, and IMV. We studied the association between liver steatosis on computed tomography (CT) and these outcomes, and also between Metabolic Associated Fatty Liver Disease (MAFLD) based on CT findings and risk factors and the outcomes. 470 patients were included; 359 had NAFLD according to the DSI. They had a higher frequency of type 2 diabetes (31% vs 14%, p < 0.001), obesity (58% vs 14%, p < 0.001), and arterial hypertension (34% vs 22%, p = 0.02). In univariable analysis, NAFLD was associated with mortality, ICU admission, and IMV. Liver steatosis by CT and MAFLD were not associated with any of these outcomes. In multivariable logistic regression, high DSI remained significantly associated with IMV and death. High DSI, which can be easily computed on admission, was associated with IMV and death, and its use to better stratify the prognosis of these patients should be explored. On the other hand, liver steatosis by CT and MAFLD were not associated with poor outcomes.