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Table 1 General statistics of cohort with stratification of status at 30 days after hospital admission

From: Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study

 

Overall

Alive at 30 days

Dead at 30 days

N

488,947

428,585 (87.65%)

60,362 (12.35%)

Age Groups (%)

15–60

76,941 (15.7)

74,238 (17.3)

2703 (4.5)

61–70

84,484 (17.3)

79,109 (18.5)

5375 (8.9)

71–80

136,728 (28.0)

122,393 (28.6)

14,335 (23.7)

81+

190,794 (39.0)

152,845 (35.7)

37,949 (62.9)

Male (%)

249,291 (51.0)

223,849 (52.2)

25,442 (42.1)

Congestive heart failure (%)

26,317 (5.4)

20,656 (4.8)

5661 (9.4)

Hypertension (%)

264,806 (54.2)

232,505 (54.2)

32,301 (53.5)

Atrial fibrillation (%)

96,354 (19.7)

76,417 (17.8)

19,937 (33.0)

Diabetes (%)

102,324 (20.9)

90,104 (21.0)

12,220 (20.2)

Previous stroke or TIA (%)

129,462 (26.5)

112,358 (26.2)

17,104 (28.3)

NIHSS (mean (SD)) (12.9% missing)

7.31 (7.47)

6.08 (6.14)

17.81 (9.34)

Functional impairment pre-stroke (mRS) (mean (SD))

1.05 (1.40)

0.95 (1.34)

1.78 (1.61)

Type of stroke = Haemorrhage (0.7% missing)

55,758 (11.5)

39,472 (9.3)

16,286 (27.2)

  1. Abbreviation: mRS modified Rankin Scale