Table 4.

Summary of Variables Included in Multivariate Models to Predict an Adverse Prognosis for COVID-19

Variable	Zhang, 2020 (J Clin Virol)	Zhou, 2020 (PLOS One)	Xu, 2020 (Theranostics)	Liu, 2020 (J Clin Virol)	Jang, 2020 (JKMS)	Hou, 2020 (Infect Dis)	Wang, 2020 (Crit Care)	Zhou, 2020 (Lancet)	Liu, 2020 (Chin Med J)	Liang, 2020 (JAMA Intern Med)	Xie, 2020 (medRxIV)	Yan, 2020 (medRxiv)	Hu, 2020	Luo, 2020 (Clin Infect Dis)	Petrilli, 2020 (BMJ)	Li, 2020	Number of Models Including This Variable
Demographics
Age (increasing)			x			x	x	x	x	x	x		x	x	x	x	11
Male sex	x						x										2
Vital signs
Temperature (elevated)		x			x				x								3
Oxygen saturation (decreased)					x						x						2
Comorbidities
Presence of comorbidities	x		x							x							3
Diabetes mellitus					x								x				2
Tobacco use									x				x				2
History of cancer										x					x		2
Hypertension		x															1
Cardiovascular disease		x															1
Heart failure															x		1
Chronic liver disease		x															1
Chronic kidney disease		x															1
Use of hypnotic													x				1
Symptoms
Dyspnea		x								x							2
Cough		x															1
Hemoptysis										x							1
Loss of consciousness										x							1
Laboratory results
C-reactive protein (elevated)	x			x		x			x			x		x	x		7
Lymphocyte count (decreased)	x		x			x					x	x			x		6
Lactate dehydrogenase (increased)										x	x	x				x	4
WBC count (increased)			x										x				2
Neutrophil count (increased)													x	x			2
Troponin (increased)													x		x		2
Procalcitonin (increased)				x											x		2
D-dimer (increased)								x							x		2
Interleukin-6 >32.1 pg/mL				x													1
CK-MB (elevated)					x												1
Albumin (decreased)									x								1
Neutrophil/lymphocyte ratio										x							1
Direct bilirubin (increased)										x							1
Serum creatinine (increased)															x		1