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Table 1 Baseline characteristics of patients infected with COVID-19

From: The predictive power of data: machine learning analysis for Covid-19 mortality based on personal, clinical, preclinical, and laboratory variables in a case–control study

Demographics data

Total

(n = 1063)

Survived

(n = 589)

Deceased

(n = 474)

P-value

Age, year

 

59.53 ± 16.32

54.70 ± 15.60

65.53 ± 15.18

 < 0.001

 

 < 40 Y

161 (15.1%)

124 (77.0%)

37 (23.0%)

 < 0.001

 

40 – 60 Y

379 (35.7%)

254 (67.0%)

125 (33.0%)

 

 > 60 Y

523 (49.2%)

211 (40.3%)

312 (59.7%)

Sex

Male

822 (77.3%)

455 (55.4%)

367 (44.6%)

0.946

 

Female

241 (22.7%)

134 (55.6%)

107 (44.4%)

Occupation

Unemployed

290 (26.5%)

160 (55.2%)

130 (44.8%)

0.265

 

Employee

102 (9.7%)

49 (48.0%)

53 (52.0%)

 

Self-Employment

671 (38.5%)

380 (56.6%)

291 (43.4%)

Place of residence

Urban

796 (74.9%)

437 (54.9%)

359 (45.1%)

0.564

 

Rural

267 (25.1%)

152 (56.9%)

115 (43.1%)

Marital status

Married

813 (76.5%)

460 (56.6%)

353 (43.4%)

0.166

 

Single

250 (23.5%)

129 (51.6%)

121 (48.4%)

Education level

Under diploma

793 (74.6%)

422 (53.2%)

371 (46.8%)

0.017

 

Undergraduate

258 (24.3%)

162 (62.8%)

96 (37.2%)

 

Postgraduate

12 (1.1%)

5 (41.7%)

7 (58.3%)

BMI (kg/cm2)

 < 18

27 (2.5%)

7 (25.9%)

20 (74.1%)

 < 0.001

 

18 – 25

603 (56.7%)

370 (61.4%)

233 (38.6%)

 

26 – 30

210 (19.8%)

115 (54.8%)

95 (45.2%)

 

 > 30

223 (21.0%)

97 (43.5%)

126 (56.5%)

Season of admission

Spring

272 (25.6%)

154 (56.6%)

118 (43.4%)

0.785

 

Summer

238 (22.4%)

134 (56.3%)

104 (43.7%)

 

Autumn

315 (29.6%)

176 (55.9%)

139 (47.5%)

 

Winter

238 (22.4%)

125 (52.5%)

113 (23.5%)

  1. P-value conducted from Independent t-test
  2. P-value conducted from Chi-square test