Peripheral neuropathic pain: a mechanism-related organizing principle based on sensory profiles
Периферическая нейропатическая боль: принцип классификации, связанный с механизмами, на основе сенсорных профилей
2016-11-03
SCID: 54.1/ndfay6hk
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cluster analysismechanical allodyniaperipheral neuropathic painquantitative sensory testingsensory profiles
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Abstract (AI)
Patients with neuropathic pain are heterogeneous in etiology, pathophysiology, and clinical appearance. They exhibit a variety of pain-related sensory symptoms and signs (sensory profile). Different sensory profiles might indicate different classes of neurobiological mechanisms, and hence subgroups with different sensory profiles might respond differently to treatment. The aim of the investigation was to identify subgroups in a large sample of patients with neuropathic pain using hypothesis-free statistical methods on the database of 3 large multinational research networks (German Research Network on Neuropathic Pain (DFNS), IMI-Europain, and Neuropain). Standardized quantitative sensory testing was used in 902 (test cohort) and 233 (validation cohort) patients with peripheral neuropathic pain of different etiologies. For subgrouping, we performed a cluster analysis using 13 quantitative sensory testing parameters. Three distinct subgroups with characteristic sensory profiles were identified and replicated. Cluster 1 (sensory loss, 42%) showed a loss of small and large fiber function in combination with paradoxical heat sensations. Cluster 2 (thermal hyperalgesia, 33%) was characterized by preserved sensory functions in combination with heat and cold hyperalgesia and mild dynamic mechanical allodynia. Cluster 3 (mechanical hyperalgesia, 24%) was characterized by a loss of small fiber function in combination with pinprick hyperalgesia and dynamic mechanical allodynia. All clusters occurred across etiologies but frequencies differed. We present a new approach of subgrouping patients with peripheral neuropathic pain of different etiologies according to intrinsic sensory profiles. These 3 profiles may be related to pathophysiological mechanisms and may be useful in clinical trial design to enrich the study population for treatment responders.
Key Findings
1
Hypothesis-free cluster analysis of 13 quantitative sensory testing parameters identified three distinct peripheral neuropathic pain subgroups.
2
The mechanical-hyperalgesia subgroup comprised 24% of patients and showed small-fiber loss, pinprick hyperalgesia, and dynamic mechanical allodynia.
3
The sensory-loss subgroup comprised 42% of patients and showed small- and large-fiber dysfunction with paradoxical heat sensations.
4
The thermal-hyperalgesia subgroup comprised 33% of patients and showed preserved sensory function, heat and cold hyperalgesia, and mild dynamic mechanical allodynia.
5
The three sensory profiles were replicated in an independent cohort, occurred across etiologies, and may support mechanism-based clinical trial enrichment for treatment responders.
Research Object
Patients with peripheral neuropathic pain of different etiologies
Research Subject
Sensory-profile-based subgroups and their potential relationships to underlying pathophysiological mechanisms
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2016-11-03
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