Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission

Table 2

Baseline demographics and clinical characteristics between mild, moderate, and severe groups of COVID-19 patients on admission.

Demographic and clinical characteristics	Total ()
	Mild (117)	Moderate (99)	Severe (134)	value
Age
18-44	64.3%	23.5%	12.2%	0.0001
45-59	30.5%	27.6%	41.9%
≥60	15.6%	30.5%	53.9%
Gender
Male	60.7%	82.8%	77.6%	0.001
Female	39.3%	16.2%	21.6%
Comorbidities
Diabetes mellitus	24 (15.1%)	53 (33.3%)	82 (51.6%)	0.0001
Hypertension	24 (16%)	49 (32.7%)	77 (51.3%)	0.0001
CAD	5 (8.6%)	21 (36.2%)	32 (55.2%)	0.0001
CKD	0	6 (23.1%)	20 (76.9%)	0.0001
Others	26 (27.4%)	29 (30.5%)	40 (42.1%)	0.027
Clinical manifestations
Fever	85 (34.8%)	73 (30%)	86 (35.2%)	0.204
Dry cough	62 (33.3%)	56 (30%)	68 (37%)	0.678
Sore throat	23(57.5%)	15 (37.5%)	2 (5%)	0.0001
Difficulty in breathing	21 (14.4%)	40 (27.4%)	85 (58.2%)	0.0001
Vitals on admission
Pulse				0.0001
Respiratory rate				0.0001
Spo2				0.0001
Survivors	117 (42.7%)	88 (32.1%)	69 (25.2%)	0.0001
Nonsurvivors	0	11 (14.5%)	65 (85.5%)	0.0001

Data are represented as (%) or . The asterisk () indicates statistical significance.