| Literature DB >> 33248373 |
Abstract
Neuropathic pain in children can be severe and persistent, difficult to recognise and manage, and associated with significant pain-related disability. Recognition based on clinical history and sensory descriptors is challenging in young children, and screening tools require further validation at older ages. Confirmatory tests can identify the disease or lesion of the somatosensory nervous system resulting in neuropathic pain, but feasibility and interpretation may be influenced by age- and sex-dependent changes throughout development. Quantitative sensory testing identifies specific mechanism-related sensory profiles; brain imaging is a potential biomarker of alterations in central processing and modulation of both sensory and affective components of pain; and genetic analysis can reveal known and new causes of neuropathic pain. Alongside existing patient- and parent-reported outcome measures, somatosensory system research methodologies and validation of mechanism-based standardised end-points may inform individualised therapy and stratification for clinical trials that will improve evidence-based management of neuropathic pain in children.Entities:
Keywords: Adolescents; Children; Chronic pain; Neuropathic pain; Neuropathy; Quantitative sensory testing
Year: 2020 PMID: 33248373 PMCID: PMC7704400 DOI: 10.1016/j.ebiom.2020.103124
Source DB: PubMed Journal: EBioMedicine ISSN: 2352-3964 Impact factor: 8.143
Classification and causes of neuropathic pain.
| ICD-11 classification | Mechanisms/generators of pain | Examples/differences in children and adolescents |
|---|---|---|
| Peripheral | surgery | persistent post-surgical pain |
| surgery / trauma | phantom limb pain less common if amputation <6 years age | |
| cancer-related | solid tumour | |
| Painful polyneuropathy | neurotoxic drug | chemotherapy induced peripheral neuropathy [ |
| auto-immune | Guillain-Barre syndrome: less common in children but neuropathic pain in >70% and can be presenting symptom | |
| genetic / channelopathy | Erythromelalgia: rare but severe and significant comorbidity | |
| genetic / metabolic | Fabry disease: neuropathic pain presenting symptom | |
| Postherpetic neuralgia | infection | much less common in children unless immunocompromised |
| Trigeminal neuralgia | compression/idiopathic | onset before 18yrs in <2% cases |
| Painful radiculopathy | nerve root trauma | surgery (eg. scoliosis) |
| Spinal cord injury | trauma / tumour | pain less common than in adults |
| Brain injury | tumour | supra- and infratentorial tumours |
| Post-stroke | cerebrovascular lesion, infarct or haemorrhage | less common in children; potentially secondary to diseases such as congenital cardiac or sickle cell disease |
| Multiple sclerosis | onset before 16yrs in 2–5% | |
Fig. 1Phenotyping neuropathic pain in older children and adolescents. a. History and Patient-reported Outcome Measures. (i) The majority of adolescents with neuropathic pain report average and worst pain in the last week at moderate-severe intensity (0–10 cm visual analogue scale: 0–3 mild, 4–7 moderate, >7/10 severe). These adolescents also report significant mood disturbance with moderate-severe levels of anxiety and depression (paediatric Index of Emotional Distress Scale: 0–10 mild, 11–14 moderate, 15–21 severe); high levels of catastrophising about pain (Pain Catastrophizing Scale – Child version: PCS-C 0–14 low, 15–25 moderate, >26 high/severe), and impaired quality of life (Pediatric Quality of Life Core Domains – Child Report (PedsQL-C): >84 normal range, 78–84 mild disease, <70 severe disease). (ii) Adolescents selected the degree to which different sensory and affective descriptors from the short-form McGill Pain Questionnaire were relevant to their current pain, ranging from no my pain does not feel like this, to my pain feels like this a lot or often. Figures are redrawn as summary representations from the author's data [8] for 66 adolescents (10–17yrs) with peripheral neuropathic pain. b. Somatosensory function. (i) Schematic of quantitative sensory testing profiles, with Z-score comparisons to control values. Positive scores indicate gain of function (increased sensitivity and hyperalgesia) and negative scores indicate loss of function (decreased sensitivity and sensory loss). Testing encompasses multiple modalities: CDT, cold detection threshold; WDT, warm detection threshold; CPT, cold pain threshold; HPT, heat pain threshold; PPT, pressure pain threshold; MPT, mechanical pain threshold; MPS, mechanical pain sensitivity; WUR, wind-up ratio; MDT, mechanical detection threshold; VDT, vibration detection threshold; DMA, dynamic mechanical allodynia with intensity rated on 0–10 numerical rating scale. (ii) Conditioned pain modulation (CPM) assessed with a variable test stimulus (pressure pain threshold, PPT on lateral knee) and cold conditioning stimulus (immersion of contralateral hand in 5°C water bath). Schematic of potential responses: different degrees of inhibition (increase in PPT during and after immersion); facilitation (decrease in PPT produced by conditioning); and non-responder (degree of change less than standard error of PPT measurement). c. Confirmatory tests. A range of confirmatory tests for diseases or lesions of somatosensory nerves include: (i) neurophysiology assessments. For example, nerve conduction studies with a representative medial plantar sensory recording in an infant [48] (from Jabre et al. Clin Neurophysiol 2020, reproduced with permission from Elsevier); (ii) genetic testing. As an example, SCN9A mutations and resultant amino-acid substitutions in the voltage-gated sodium channel Nav1.7 associated with phenotypes of erythromelalgia (EM; sites associated with onset of erythromelalgia in childhood (EM paed) identified from a systematic review [34]), paroxysmal extreme pain disorder (PEPD), or congenital insensitivity to pain (CIP). Schematic of Nav1.7 (modified from Dib-Hajj et al. Trends Neurosci 2007, reproduced with permission from Elsevier); (iii) neuroimaging, and (iv) skin biopsy.