ArticleFrontiers in microbiology2022
The risk profile of patients with COVID-19 as predictors of lung lesions severity and mortality-Development and validation of a prediction model.
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed, 2 citations in OpenAlex.
- Outcome prediction in hospitalized COVID-19 patients: Comparison of the performance of five severity scores.Frontiers in medicine · 2023Article
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8 authors at 4 institutions in 2 countries.
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Abstract
Objective: We developed and validated a prediction model based on individuals' risk profiles to predict the severity of lung involvement and death in patients hospitalized with coronavirus disease 2019 (COVID-19) infection. Methods: In this retrospective study, we studied hospitalized COVID-19 patients with data on chest CT scans performed during hospital stay (February 2020-April 2021) in a training dataset (TD) ( Results: In the TD and the eVD, respectively, the mean [standard deviation ( Conclusion: In hospitalized patients with COVID-19, the severity of lung involvement is a strong predictor of death. Age, CRP levels, and duration of hospitalizations are the most important predictors of severe lung involvement. A simple prediction model based on available clinical and imaging data provides a validated tool that predicts the severity of lung involvement and death probability among hospitalized patients with COVID-19.
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