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Nociceptive pain assessed by the PainDETECT questionnaire may predict response to opioid treatment for chronic low back pain

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  • معلومة اضافية
    • بيانات النشر:
      Elsevier, 2024.
    • الموضوع:
      2024
    • Collection:
      LCC:Science (General)
      LCC:Social sciences (General)
    • نبذة مختصرة :
      Introduction: The pharmacological management of chronic low back pain (LBP) is complex. The World Health Organisation recommends a laddered approach to pain medication usage. The PainDETECT questionnaire distinguishes between neuropathic pain (NeP), nociceptive pain (NoP), and ambiguous pain. By elucidating the difference in medication efficacy between these groups, clinicians can provide a tailored treatment plan to manage patient's pain. This study aimed to investigate the relationship between pharmacological treatments, pain categorizations, and medication efficacy as reported by patients. Methods: A secondary retrospective analysis of a prospectively collected database was conducted involving 318 consecutively recruited patients, aged 18 years and above, who completed PainDETECT, medication history and patient reported medication efficacy questionnaires. Medication history was categorized into four lines of treatment: first line (paracetamol ± non-prescribed anti-inflammatories), second line (prescribed anti-inflammatories), third line (anticonvulsants/neuromodulators) and fourth line (opioids). Medication efficacy was measured using a three-point Likert scale: effective (+2), somewhat effective (+1), no effect (0). Findings: The study included 120, 50, 54 and 94 patients on first line, second line, third line and fourth line treatment, respectively. The NeP group had higher mean numerical rating scale (NRS) compared to NoP group in all four lines of treatment (8.10 ± 1.59 vs. 5.47± 2.27, p
    • File Description:
      electronic resource
    • ISSN:
      2405-8440
    • Relation:
      http://www.sciencedirect.com/science/article/pii/S2405844024018656; https://doaj.org/toc/2405-8440
    • الرقم المعرف:
      10.1016/j.heliyon.2024.e25834
    • الرقم المعرف:
      edsdoj.3c86ad0a6a46437bb54264b60ad4140b