Quantitative chest computed tomography combined with plasma cytokines predict outcomes in COVID-19 patients.

ABSTRACT: Despite extraordinary international efforts to dampen the spread and understand the mechanisms behind SARS-CoV-2 infections, accessible predictive biomarkers directly applicable in the clinic are yet to be discovered. Recent studies have revealed that diverse types of assays bear limited predictive power for COVID-19 outcomes. Here, we harness the predictive power of chest computed tomography (CT) in combination with plasma cytokines using a machine learning and k-fold cross-validation approach for predicting death during hospitalization and maximum severity degree in COVID-19 patients. Patients (n = 152) from the Mount Sinai Health System in New York with plasma cytokine assessment and a chest CT within five days from admission were included. Demographics, clinical, and laboratory variabl

SUBMITTER: Carbonell G 

PROVIDER: S-EPMC9356575 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature