Baseline characteristics of patients with nerve-related neck and arm pain predict the likely response to neural tissue management

Abstract

Study Design: Planned secondary analysis of a randomized controlled trial comparing neural tissue management (NTM) to advice to remain active.

Objective: To develop a model that predicts the likelihood of patient-reported improvement following NTM.

Background: Matching patients to an intervention they are likely to benefit from potentially improves outcomes. However, baseline characteristics that predict patients' responses to NTM are unknown.

Methods: Data came from 60 consecutive adults who had nontraumatic, nerve-related neck and unilateral arm pain for at least 4 weeks. Participants were assigned to a group that received NTM (n = 40), which involved brief education, manual therapy, and nerve gliding exercises for 4 treatments over 2 weeks, or to a group that was given advice to remain active (n = 20), which involved instruction to continue their usual activities. The participants' global rating of change at a 3- to 4-week follow-up defined improvement. Penalized regression of NTM data identified the best prediction model. A medical nomogram was created for prediction model scoring. Post hoc analysis determined whether the model predicted a specific response to NTM.

Results: Absence of neuropathic pain qualities, older age, and smaller deficits in median nerve neurodynamic test range of motion predicted improvement. Prediction model cutoffs increased the likelihood of improvement from 53% to 90% (95% confidence interval: 56%, 98%) or decreased the likelihood of improvement to 9% (95% confidence interval: 1%, 42%). The model did not predict the outcomes of the advice to remain active group.

Conclusion: Baseline characteristics of patients with nerve-related neck and arm pain predicted the likelihood of improvement with NTM. Model performance needs to be validated in a new sample using different comparison interventions and longer follow-up. Australian New Zealand Clinical Trials Registry (ACTRN 12610000446066).