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 sampl
ed from a primary care population. All patients underwent a standardised hi
story, physical examination, and MRI. Surgery carried out in the next 6 mon
ths was recorded. Models were constructed to predict whether patients event
ually received surgery.
Results-Two models were constructed. Reduced model A was based on baseline
findings, only, and contained six variables. Model B incorporated change ov
er 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, resp
ectively. It was shown that at a probability cut off of 0.60, model B predi
cted 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 ne
rve root compression. The application of the model in patients with nerve r
oot compression might lead to earlier operation in a subset of patients res
ulting in a reduction of duration of illness and associated indirect costs.
An important prerequisite for future application would be the validation o
f the prediction rule in another population.