Table 2 The model input data is shown and used to predict the actual patient post treatment data. Shown are the means, standard deviations (Std.), interquartile ranges (Q1-Q3), minimum values (Min), and maximum values (Max). Fit type :1) normal fit is lordosis is within 20% of the value of the SBA; 2) low fit type is a greater than 20% difference between the SBA and lordosis with SBA < 15°; 2) high fit type is a greater than 20% difference between the SBA and lordosis with SBA > 15°.
Model input data | Post treatment data | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Initial lumbar curve (°) | Initial SBA (°) | Initial ODI raw score out of 50 and (%) | Initial NRS pain | Frequency of traction | Duration of traction | Age | BMI | Compliance (%) | Lumbar curve (°) | NRS Pain | ODI Raw score out of 50 and (%) | ||
Initial Lumbar curve fit relative to the SBA 1) Normal fit N = 152 2) Low fit N = 136 3) High fit N = 143 | Mean | 11.5 | 14.5 | 16.6 (33.2%) | 7.3 | 4.1 | 7.6 | 37.5 | 24.7 | 92.4 | 23.6 | 3.31 | 5.2 (10.4%) |
Std | 5.5 | 4.5 | 4.2 (8.4%) | 1.1 | 1.2 | 2.1 | 8.1 | 4.8 | 6.1 | 4.7 | 0.9 | 3 | |
Interquartile ranges. Minimum and maximum for variables | 25%1 | 8 | 11 | 13 | 6 | 3 | 6 | 33 | 20 | 89 | 20 | 3 | 3 |
50%2 | 11 | 14 | 16 | 8 | 4 | 8 | 39 | 24 | 90 | 24 | 3 | 5 | |
75%3 | 14.5 | 18 | 20 | 8 | 5 | 10 | 44 | 29 | 99 | 25 | 3 | 7 | |
Min | 0 | 5 | 8 | 4 | 3 | 4 | 19 | 17 | 70 | 12 | 0 | 0 | |
Max | 24 | 25 | 25 | 9 | 6 | 10 | 60 | 39 | 100 | 34 | 5 | 10 | |
Percentage of patients achieving the MCIC of the questionnaires post treatment4 | 80.3% | 1. 95.3% 2. 53% | |||||||||||
