Unknown

Dataset Information

Mortality Predictors in Severe SARS-CoV-2 Infection.


ABSTRACT: Background and Objectives: The severe forms of SARS-CoV-2 pneumonia are associated with acute hypoxic respiratory failure and high mortality rates, raising significant challenges for the medical community. The objective of this paper is to present the importance of early quantitative evaluation of radiological changes in SARS-CoV-2 pneumonia, including an alternative way to evaluate lung involvement using normal density clusters. Based on these elements we have developed a more accurate new predictive score which includes quantitative radiological parameters. The current evolution models used in the evaluation of severe cases of COVID-19 only include qualitative or semi-quantitative evaluations of pulmonary lesions which lead to a less accurate prognosis and assessment of pulmonary

SUBMITTER: Lazar M 

PROVIDER: S-EPMC9324408 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature