Abstract

Diagnosis and management of neuropathic pain (NP) in foot and ankle patients remain challenging. We investigated the plausibility of using Patient-Reported Outcomes Measurement Information System (PROMIS) Neuropathic Pain Quality (PQ-Neuro) as an initial screening tool to detect NP and track the treatment effects. Patients with heel pain were prospectively recruited and grouped to no-NP, mild-NP, and severe-NP based on the initial PROMIS PQ-Neuro t scores. Pain Interference (PI), Physical Function (PF), and Self-Efficacy (SE) scores were evaluated at baseline, 30-day, and 90-day follow-up. Other factors such as age, smoking, body mass index (BMI), low back/neck pain, anxiety/depression, and medications were analyzed. Linear mixed modeling was used to assess the main effects of time and NP on PROMIS t scores, comparing minimal clinically important difference (MCID). Forty-eight patients with mean age of 52.4 years were recruited. Using the PROMIS PQ-Neuro as the assessment tool, 33 patients (69%) were detected to have NP at baseline-23 (48%) mild and 10 (21%) severe. BMI was the only independent factor associated with NP (P = .011). Higher baseline PQ-Neuro t score was significantly associated with higher follow-up PQ-Neuro (P < .001), PI (P = .005), and lower SE (P = .04) across time points. Patients with NP showed lower PF at baseline with significantly less improvement in PF (3 vs 9.9, P = .035) and did not meet MCID. Baseline PROMIS PQ-Neuro ≥46 was significantly associated with worse PI and SE across all time points, with less clinically significant improvements in PF. Prevalence of NP in heel pain patients was high. The PROMIS PQ-Neuro may serve as a valuable tool for detection of NP and guiding clinical treatment decision pathways for heel pain patients. Level III, prospective cohort study.

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