TABLE 5.

The most differentiating predictors and their importance in the projection (VIP) scores for the predicting the mortality outcome A: among men COVID-19 patients, B: among women COVID-19 patients.

	Predictors	VIP	Correlation with mortality
(A)
1	Oxygen saturation < 88	3.45	Positive
2	Loss of consciousness	2.69	Positive
3	Chronic kidney disease	2.55	Positive
4	Hypertension	2.44	Positive
5	Heart abnormal findings	2.45	Positive
6	Age > 65	1.92	Positive
7	Cardiovascular disease	1.77	Positive
8	Muscle pain myalgia	1.51	Negative
9	ALT > 13	1.40	Positive
10	Sputum	1.41	Positive
11	Potassium > 4.0	1.11	Positive
12	Diarrhea	1.12	Negative
13	Total lung involvement	1.09	Positive
14	Diabetes	0.99	Negative
15	Trembling	1.03	Positive
16	Loss of sense of smell	0.96	Negative
17	Chronic pulmonary disease	0.94	Positive
18	Smoking alcohol drug history	0.95	Positive
19	Limb edema	0.91	Positive
20	Mg > 2.2	0.99	Negative
21	Cancers	0.91	Positive
22	Urea > 49	0.85	Positive
23	Loss of sense of taste	0.82	Positive
24	Creatine > 1.7	0.93	Negative
25	Transplantation	0.81	Positive
26	ALY > 23	0.93	Negative
(B)
1	Oxygen saturation < 88	3.24	Positive
2	Loss of consciousness	2.89	Positive
3	Chronic kidney disease	2.27	Positive
4	Heart abnormal findings	2.05	Positive
5	Trembling	1.93	Negative
6	Hypertension	1.68	Positive
7	Age > 65	1.74	Positive
8	Rheumatological diseases	1.74	Positive
9	Limb edema	1.59	Positive
10	BMI > 24.8	1.38	Negative
11	Cardiovascular disease	1.34	Positive
12	Chronic liver disease	1.17	Positive
13	HIV	1.15	Positive
14	Chest pain	1.15	Negative
15	Cancers	1.09	Positive
16	Calcium > 9	1.01	Negative
17	Sweating	1.01	Negative
18	Mg > 2.2	1.00	Positive
19	Loss of sense of taste	1.02	Negative

The gray highlighted variable represents unique predictor between models of men and women.