Table 4a.

Logistic regression analyses of different variables to determine their role in hospitalizations of patients with COVID-19.

Univariate analysis	OR (95% CI)	P value
Gender	1.21 (0.72–1.64)	.001
Age: >60 years	4.83 (2.45–6.49)	.004
Residence: Urban areas	1.78 (0.85–3.15)	.023
Better access to health facilities	1.92 (0.48–1.93)	.041
High income	1.45 (0.81–2.44)	.976
Symptoms prevailing >14 days	4.12 (2.16–6.34)	.001
Comorbidity
With comorbidities	5.86 (3.47–7.93)	.003
CCI >3 vs. CCI <3	5.48 (3.95–7.24)	.001
Hypertension	2.16 (1.41–3.53)	.024
Diabetes	2.83 (1.54–3.96)	.004
Heart diseases	2.44 (1.82–3.13)	.016
Gastrointestinal diseases	1.12 (0.76–1.97)	.037
Kidney diseases	1.67 (0.93–2.11)	.001
Liver diseases	1.27 (0.87–2.43)	.049
Asthma	1.94 (0.97–2.77)	.034
Cancer	1.19 (0.78–2.46)	.041
Tuberculosis	1.35 (0.93–2.27)	.097
COPD	1.79 (0.62–3.76)	.004
Lung disease	1.94 (1.02–3.83)	.016
Paralysis	1.21 (0.82–2.17)	.011
Typhoid	1.01 (0.43–1.73)	.294
Dengue	1.18 (0.62–2.01)	.068
Arthritis	1.09 (0.72–1.81)	.043
Anemia	1.28 (0.68–2.31)	.438
Hypothyroidism	1.15 (0.76–2.28)	.001
Surgical infection	1.19 (0.79–2.0)	.000

P value < .05 was considered statistically significant. OR-odds ratio, COPD-chronic obstructive pulmonary disease, CCI- Charlson comorbidity index.