Predicting outcomes of neuroreflexotherapy in patients with subacute or chronic neck or low back pain

The Spine Journal : Official Journal of the North American Spine Society
Ana RoyuelaVíctor Abraira

Abstract

In the context of shared decision-making, a valid estimation of the probability that a given patient will improve after a specific treatment is valuable. To develop models that predict the improvement of spinal pain, referred pain, and disability in patients with subacute or chronic neck or low back pain undergoing a conservative treatment. Analysis of data from a prospective registry in routine practice. All patients who had been discharged after receiving a conservative treatment within the Spanish National Health Service (SNHS) (n=8,778). Spinal pain, referred pain, and disability were assessed before the conservative treatment and at discharge by the use of previously validated methods. Improvement in spinal pain, referred pain, and disability was defined as a reduction in score greater than the minimal clinically important change. A predictive model that included demographic, clinical, and work-related variables was developed for each outcome using multivariate logistic regression. Missing data were addressed using multiple imputation. Discrimination and calibration were assessed for each model. The models were validated by bootstrap, and nomograms were developed. The following variables showed a predictive value in the th...Continue Reading

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Apr 25, 2015·Acta Orthopaedica·Miranda L van HooffPeter Fritzell
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