Venous thromboembolism in COVID-19 patients and prediction model: a multicenter cohort study

BMC Infectious Diseases

Table 2 Significant variables in prediction models, listed in descending order: (1) Multiple linear regression (2) Multiple logistic regression (3) Decision tree (4) Random forest

Multiple linear regression	Multiple logistic regression	Decision tree	Random forest
D-dimer	D-dimer	Therapeutic anticoagulation inpatient	D-dimer
Nonalcoholic steatohepatitis	History of venous thromboembolism	History of venous thromboembolism	Therapeutic anticoagulation inpatient
History of venous thromboembolism	Mechanical ventilation	D-dimer	Platelet count
Therapeutic anticoagulation inpatient	Therapeutic anticoagulation inpatient	Age	Blood urea nitrogen
High-flow nasal Cannula	High-flow nasal Cannula	Race/ethnicity	Age
Mechanical ventilation	Nonalcoholic steatohepatitis	Blood urea nitrogen	WBC count
Coronary artery bypass graft	Nonalcoholic steatohepatitis	Hospital length of stay	Systolic blood pressure on presentation
Heart rate on presentation	Thyroid disease		Lymphocytes
Alanine aminotransferase	Nasal Cannula or non-rebreather Mask		Alanine aminotransferase
Chronic kidney disease	Coronary artery bypass graft		Abnormal potassium level (higher or lower)
	Chronic kidney disease		B-type natriuretic peptide
	Ferritin		C-reactive protein
			Creatinine
			Lactate dehydrogenase
			Neutrophils
			Heart rate on presentation
			Total bilirubin
			Aspartate transaminase
			Diastolic blood pressure on presentation
			Venous thromboembolism
			Ferritin
			Oxygen saturation on presentation

ISSN: 1471-2334