Publications by authors named "Chia Chi-Fu"
Article Synopsis
- SARS-CoV-2 has led to over 4 million deaths globally, creating a need for effective prognostic tools to predict which COVID-19 patients may develop severe respiratory failure.
- A retrospective cohort study analyzed data from hospital admissions in Texas to identify predictors of severe hypoxemic respiratory failure within the first 12 hours of patient admission.
- The study found that levels of lactate dehydrogenase, Quick Sequential Organ Failure Assessment scores, and the neutrophil to lymphocyte ratio were significant predictors, with a model demonstrating an area under the curve of 0.84, indicating strong predictive validity that needs further validation.
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