Sensory symptom profiles of patients with neuropathic pain after spinal cord injury

Maria Dolors Soler, David Moriña, Neus Rodríguez, Joan Saurí, Joan Vidal, Albert Navarro, Xavier Navarro

Research output: Contribution to journalArticleResearch

7 Citations (Scopus)


© 2017 Wolters Kluwer Health, Inc. Aim: Individuals experiencing neuropathic pain (NP) after spinal cord injury (SCI) present with a variety of pain descriptors in different combinations and at different intensities. These sensory features form distinct patterns, known as sensory symptom profiles. Methods: In the present cross-sectional study, we have used a multivariate statistical method (multiple correspondence analysis) to categorize the sensory symptom profiles of a cohort of 338 patients with at-level or below-level NP after SCI. We also investigated possible associations between positive neuropathic symptoms and features of the neurological lesion. Results: The majority of participants had a combination of pain descriptors, with 59% presenting with 3 or 4 pain subtypes. No significant associations were found between specific pain profiles and etiology or clinical degree of the neurological lesion. Furthermore, similar symptom profiles were seen in patients with at-level and below-level NP. The most frequent pattern observed in patients with cervical SCI consisted predominantly of electric shocks and tingling, without burning, pressure pain, or allodynia. Conclusions: Classification of SCI-NP patients into the 5 groups identified in the present study based on their distinct sensory symptom profiles may allow identification of those most likely to respond to a specific analgesic approach.
Original languageEnglish
Pages (from-to)827-834
JournalClinical Journal of Pain
Issue number9
Publication statusPublished - 13 Dec 2017


  • Allodynia
  • Cluster analysis
  • Neuropathic pain
  • Spinal cord injury


Dive into the research topics of 'Sensory symptom profiles of patients with neuropathic pain after spinal cord injury'. Together they form a unique fingerprint.

Cite this