Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (13): 2303-2306.doi: 10.3969/j.issn.1673-8225.2010.13.007

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Relationship between therapeutic effect of physical therapy on cervical rediculopathy patients and characteristics described by the LOGISTIC regression model

Li Xue-ying1, Wang Lin2   

  1. 1 Department of Biostatistics, 2 Department of Physical Medicine and Rehabilitation, First Hospital of Peking University, Beijing  100034, China
  • Online:2010-03-26 Published:2010-03-26
  • About author:Li Xue-ying★, Master, Associate chief technician, Department of Biostatistics, First Hospital of Peking University, Beijing 100034, China

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Abstract:

BACKGROUND: In previous study, the LOGISTIC model has been established and showed its superiority in describing the physical therapy processes on cervical radiculopathy. 
OBJECTIVE: To analysis relation between the therapeutic effects and the math characters given by the LOGISTIC model, and to demonstrate the effectiveness of LOGISTIC model in describing the physical therapy processes on cervical radiculopathy.
METHODS: Multiple physical therapies were administered to 90 cervical radiculopathy patients with pain for 10 sessions. A visual analogue scale was used to measure the pain intensity before each time. Calculate the inflexion and the curvature extremum point of each patient from the LOGISTIC model. Statistical analysis was performed for demonstrating the relation between the therapeutic effects and the math characters.
RESULTS AND CONCLUSION: The pain relief and location of inflection point was negatively correlated with the second extreme point of curvature (r=-0.460, P < 0.001; r=-0.598, P < 0.001); which had no significance with the first extreme point of curvature (r=0.075, P=0.481). It reveled that the earlier appearance of inflection point and the second extreme point of curvature, the most pain relief. There was no obvious correlation between the first extreme point of curvature location and the pain relief. The location of inflexion point and the curvature extremum point were different between the effective cases and the ineffective case, but the differences of the first extreme point of curvature had no significance between two groups. ROC analysis showed that using inflection point and the second extreme point of curvature as judgment indexes, greater area under curve could be obtained, and the Youden index was 0.54-0.64, which exhibited judgment capacity. The LOGISTIC model can describe the characters of physical therapy processes on cervical radiculopathy sufficiently.

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