Introduction: Better diagnosis and treatment of neuropathic cancer pain (NcP) remains an unmet clinical need. The EAPC/IASP algorithm was specifically designed for NcP diagnosis; yet, to date, there is no information on its application and accuracy.
Objectives: Our aim was to determine the accuracy of the EAPC/IASP algorithm compared with the Neuropathic Special Interest Group grading system (gold standard) and to describe patients' sensory profile with quantitative sensory testing (QST).
Methods: This is a cross-sectional observational study conducted in a palliative care and pain outpatient clinic. Patients with cancer pain intensity ≥3 (numerical rating scale 0-10) were eligible. The palliative care physician applied the EAPC/IASP algorithm as a grading system to diagnose probable or definite NcP, and an independent investigator applied the gold standard and performed the QST. Sensitivity and specificity of the EAPC/IASP algorithm were measured in comparison with the gold standard results. Kruskal-Wallis and unequal variance independent-samples t tests were used to compare the QST parameters in patients with and without NcP.
Results: Ninety-eight patients were enrolled from August 2020 to March 2023. Sensitivity and specificity for the EAPC/IASP algorithm were 85% (95% CI 70.2-94.3) and 98.3% (95% CI 90.8-100), respectively. Patients with NcP in contrast to patients without NcP showed cold hypoesthesia (P = 0.0032), warm hypoesthesia (P = 0.0018), pressure hyperalgesia (P = 0.02), and the presence of allodynia (P = 0.0001).
Conclusion: The results indicate a good performance of the EAPC/IASP algorithm in diagnosing NcP and the QST discriminated well between patients with and without NcP.
Keywords: Cancer pain; Diagnostic algorithm; NeuPSIG criteria; Neuropathic cancer pain; Quantitative sensory testing; Somatosensory profiling.
Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The International Association for the Study of Pain.