Table 4b.

Logistic regression analyses (both univariate and multivariate) of different variables to determine their role in fatality of patients with COVID-19 in Bangladesh.

Univariate analysis
Variables	OR (95% CI)	P value
Gender	1.84 (0.91–2.94)	.003
Age: >60 years	5.43 (2.85–7.68)	.001
Urban areas vs. village areas	1.38 (0.65–2.86)	.037
Better access to health facilities	0.71 (0.39–1.61)	.346
High income	1.83 (0.76–2.21)	.067
Symptoms prevailing >14 days	2.92 (1.43–4.19)	.008
Comorbidity
With comorbidities vs without comorbidities	4.62 (3.09–6.33)	.005
CCI >3 vs. CCI <3	5.98 (3.65–7.63)	.011
Hypertension	2.04 (1.41–3.53)	.004
Diabetes	2.57 (1.42–3.83)	.009
Heart diseases	2.92 (1.71–4.34)	.029
Gastrointestinal diseases	1.16 (0.67–1.73)	.391
Kidney diseases	1.39 (0.75–2.30)	.005
Liver diseases	1.34 (0.92–2.49)	.019
Asthma	1.51 (0.73–2.82)	.008
Cancer	1.20 (0.63–2.16)	.001
Tuberculosis	1.45 (0.81–2.67)	.004
COPD	2.19 (0.97–3.82)	.342
Lung disease	2.64 (1.54–4.03)	.005
Paralysis	1.29 (0.76–2.67)	.014
Typhoid	1.11 (0.63–2.49)	.037
Dengue	1.62 (0.82–2.76)	.001
Arthritis	1.72 (0.64–2.93)	.006
Anemia	1.39 (0.91–2.86)	.277
Hypothyroidism	1.05 (0.46–2.18)	.160
Surgical infection	1.23 (0.53–2.61)	.005
More than three symptoms	1.84 (0.92–3.84)	.006
Multivariate analysis
Variables	Adjusted OR	P value
Age: >60 years vs. <60 years	3.77 (1.07–6.34)	.007
Urban areas vs. village areas	2.04 (0.83–4.26)	.001
Better access to health facilities vs. worse access to health facilities	0.73 (0.22–1.96)	.043
High income vs. low income	1.19 (0.61–3.57)	.009
Symptoms prevailing >14 days vs. <14 days	2.34 (0.81–4.63)	.004
CCI >3 vs. CCI <3	5.23 (3.77–8.09)	.001
Symptoms >3 vs. <3	2.16 (0.97–4.91)	.035

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