Abstract
Objectives-To design a model that could accurately predict eventual lumbar disc surgery in the patient initially presenting with clinical findings of nerve root compression.
Methods-Prospective study in 183 patients with nerve root compression sampled from a primary care population. All patients underwent a standardised history, physical examination, and MRI. Surgery carried out in the next 6 months was recorded. Models were constructed to predict whether patients eventually received surgery.
Results-Two models were constructed. Reduced model A was based on baseline findings, only, and contained six variables. Model B incorporated change over time as well and contained 10 variables. The area under the curve (in a receiver operating characteristic) for these models was 0.86 and 0.92, respectively. It was shown that at a probability cut off of 0.60, model B predicted eventual surgery with a sensitivity of 57% and a specificity of 100%.
Conclusions-Given the requirement of a high specificity, eventual operation could be adequately predicted in a sample of 183 patients with clinical nerve root compression. The application of the model in patients with nerve root compression might lead to earlier operation in a subset of patients resulting in a reduction of duration of illness and associated indirect costs. An important prerequisite for future application would be the validation of the prediction rule in another population.
Original language | English |
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Pages (from-to) | 75-79 |
Number of pages | 5 |
Journal | Journal of Neurology, Neurosurgery and Psychiatry |
Volume | 68 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan-2000 |
Externally published | Yes |
Keywords
- nerve root compression
- disc displacement
- surgical therapy
- discectomy
- prediction
- LUMBAR SPINE
- PHYSICAL-EXAMINATION
- COMPUTED-TOMOGRAPHY
- INTERVERTEBRAL-DISK
- NUCLEUS PULPOSUS
- NATURAL-HISTORY
- BACK-PAIN
- MYELOGRAPHY
- SCIATICA
- SYMPTOMS