Post-mastectomy pain syndrome as a model for mixed pain: clinical evidence from a specialized cancer pain clinic

Introduction: Post-mastectomy pain syndrome (PMPS) is a common and disabling complication after breast cancer surgery. Although traditionally categorized as neuropathic or nociceptive, many patients present with overlapping features consistent with mixed pain, a phenotype that remains poorly defined in clinical practice. Methods: We performed a retrospective analysis of prospectively maintained data from women with refractory PMPS referred to a tertiary cancer-related pain clinic between January 2022 and September 2025. Pain was classified as nociceptive, neuropathic, or mixed based on structured clinical assessment. Patient-reported measures included the Brief Pain Inventory (BPI) and Pain Catastrophizing Scale (PCS). Multivariable logistic regression was used to examine factors independently associated with mixed pain. Results: = 113), multiplicity of pain sources (≥2 concurrent pain generators; adjusted OR 49.96; 95% CI 11.69-213.41) and radiotherapy-attributed pain (adjusted OR 5.75; 95% CI 1.15-28.82) were independently associated with mixed pain. Model stability was evaluated in sensitivity analyses using Firth's penalized likelihood logistic regression. Conclusion: In this tertiary cohort of women with refractory PMPS, mixed pain accounted for approximately one-third of cases and was independently associated with multiple concurrent pain sources and radiotherapy-attributed pain. These findings suggest that the coexistence of multiple pain sources, rather than pain severity alone, may characterize mixed pain presentations. Given the observational design and model limitations, results should be interpreted as hypothesis-generating. Mechanism-based assessment may help inform individualized management strategies.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-04-15
DOI
https://doi.org/10.3389/fmed.2026.1733623
Citations
1
Primary Topic
Pain Management and Treatment
Type
article
Field-Weighted Citation Impact
23.36
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article

Post-mastectomy pain syndrome as a model for mixed pain: clinical evidence from a specialized cancer pain clinic

Silviu Brill, Morsi Khashan, Yehonatan Hochberg, Uri Hochberg
1 citations
Frontiers in Medicine
Pain Management and Treatment
23.36
article

Post-mastectomy pain syndrome as a model for mixed pain: clinical evidence from a specialized cancer pain clinic

Silviu Brill, Morsi Khashan, Yehonatan Hochberg, Uri Hochberg
article en
1 citations

Abstract

Introduction: Post-mastectomy pain syndrome (PMPS) is a common and disabling complication after breast cancer surgery. Although traditionally categorized as neuropathic or nociceptive, many patients present with overlapping features consistent with mixed pain, a phenotype that remains poorly defined in clinical practice. Methods: We performed a retrospective analysis of prospectively maintained data from women with refractory PMPS referred to a tertiary cancer-related pain clinic between January 2022 and September 2025. Pain was classified as nociceptive, neuropathic, or mixed based on structured clinical assessment. Patient-reported measures included the Brief Pain Inventory (BPI) and Pain Catastrophizing Scale (PCS). Multivariable logistic regression was used to examine factors independently associated with mixed pain. Results: = 113), multiplicity of pain sources (≥2 concurrent pain generators; adjusted OR 49.96; 95% CI 11.69-213.41) and radiotherapy-attributed pain (adjusted OR 5.75; 95% CI 1.15-28.82) were independently associated with mixed pain. Model stability was evaluated in sensitivity analyses using Firth's penalized likelihood logistic regression. Conclusion: In this tertiary cohort of women with refractory PMPS, mixed pain accounted for approximately one-third of cases and was independently associated with multiple concurrent pain sources and radiotherapy-attributed pain. These findings suggest that the coexistence of multiple pain sources, rather than pain severity alone, may characterize mixed pain presentations. Given the observational design and model limitations, results should be interpreted as hypothesis-generating. Mechanism-based assessment may help inform individualized management strategies.

Frontiers in MedicineVol. 13
Medical University of Graz (AT), Tel Aviv Sourasky Medical Center (IL)
Good health and well-being
Openalex Percentile: Top 1%
Pain Management and Treatment
23.36
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