Der Schmerz
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In the past 10 years specific pathways for pruritus have been characterized on a cellular and molecular level but their exact role in the pathophysiology of neuropathic pruritus remains unclear. This also applies to the question which of the competing theories for pruritus, e.g. specificity, temporal/spatial pattern or intensity, would best apply. ⋯ The skin innervation is greatly reduced by the neuropathy and could provide a "spatial contrast pattern" and the axotomy could induce a de novo expression of gastrin-releasing peptide (GRP) in primarily afferent nociceptors and thus modulate spinal pruritus processing. In addition, the overlap of pruritus and pain in neuropathy patients complicates the direct translation from animal experiments and requires collaboration at the clinical level between pain medicine and dermatology.
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In previous years numerous acute pain models to investigate the pathophysiological mechanisms of pain and to validate treatment procedures have been described. Due to the specific questions addressed by different trials standardized protocols are often missing. Therefore, the research results obtained are only comparable or reproducible to a limited extent. The transferability of acquired knowledge to clinical pain is limited by the mostly short test duration of already established models. ⋯ The established acute pain model in this study is characterized by the induction of thermal pain stimuli of defined intensity and variable duration. There is no danger of significant thermal tissue damage and the pain was tolerated by all study participants. The pain model can easily be established using a device for quantitative sensory testing.
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In patients with limited communication skills, the use of conventional scales or external assessment is only possible to a limited extent or not at all. Multimodal pain recognition based on artificial intelligence (AI) algorithms could be a solution. ⋯ Pain is generally recorded multimodally, based on external observation scales. With regard to automated pain recognition and on the basis of the 14 selected studies, there is to date no conclusive evidence that multimodal automated pain recognition is superior to unimodal pain recognition. In the clinical context, multimodal pain recognition could be advantageous, because this approach is more flexible. In the case of one modality not being available, e.g., electrodermal activity in hand burns, the algorithm could use other modalities (video) and thus compensate for missing information.