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Table 4 Relationship between need for surgery and failure of treatment

From: The efficacy of machine learning models in forecasting treatment failure in thoracolumbar burst fractures treated with short-segment posterior spinal fixation

Variable

Failure of treatment

Statistical test

Yes

No

Age (year)

48.21 (9.91)

47.23 (9.42)

P = 0.255

Follow Up

20.37 (5.21)

21.72 (5.42)

P = 0.323

Body Mass Index

26.79 (2.2)

23.6 (1.8)

*P = 0.024

VBCR (%)

64.58 (2.39)

66.99 (2.48)

P = 0.521

PAHC (%)

68.02 (3.58)

73.16 (4.17)

P = 0.235

Cobb(°)

17.11 (3.19)

11.11 (3.09)

*P = 0.013

Canal compromise (%)

24.12 (3.31)

21.22 (3.8)

P = 0.221

IPD

27.41 (4.35)

18.88 (3.57)

*p < 0.001

LSC

7.38 (0.79)

4.97 (0.77)

*P < 0.001

VAS

6.11 (0.87)

5.89 (0.79)

P = 0.442

  1. VBCR: Vertebral body compression rate; PAHC: percentage of anterior height compression; IPD: Interpedicular Distance; VAS: Visual Analogue Scale; LSC: Load sharing classification