A meta-analysis of SARS-CoV-2 patients identifies the combinatorial significance of D-dimer, C-reactive protein, lymphocyte, and neutrophil values as a predictor of disease severity.
Kunwar SinghSasha MittalSumanth GollapudiAlexandra ButzmannJyoti KumarRobert S OhgamiPublished in: International journal of laboratory hematology (2020)
Using the generated equations, the outcomes of COVID-19 patients can be predicted using commonly obtained clinical laboratory data. These predictive equations may inform future studies evaluating the long-term follow-up of COVID-19 patients.
Keyphrases
- sars cov
- end stage renal disease
- chronic kidney disease
- ejection fraction
- newly diagnosed
- respiratory syndrome coronavirus
- prognostic factors
- peritoneal dialysis
- genome wide
- electronic health record
- gene expression
- metabolic syndrome
- patient reported outcomes
- current status
- adipose tissue
- machine learning
- skeletal muscle
- weight loss
- coronavirus disease
- artificial intelligence