Publications by authors named "Luke Bryden"

Purpose: The Akrivia Health cohort was created to extract data from electronic health records in secondary mental health and dementia care services in England and Wales. The data are anonymised, structured and harmonised from the source electronic health records across a range of information technology systems, enabling for unified, privacy-preserving access for research purposes.

Participants: The cohort contains data from electronic health records for over 4.

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Background: Burrowing is a rodent behavior validated as a robust and reproducible outcome measure to infer the global effect of pain in several inflammatory pain models. However, less is known about the effect of analgesics on burrowing in neuropathic pain models and no studies have determined burrowing performance in models of diabetes-associated neuropathic pain.

Objective: To compare the sensitivity of the burrowing assay in different neuropathic pain models: mononeuropathic pain and diabetic polyneuropathy.

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Burrowing, an ethologically relevant rodent behaviour, has been proposed as a novel outcome measure to assess the global impact of pain in rats. In a prospective multicentre study using male rats (Wistar, Sprague-Dawley), replication of suppressed burrowing behaviour in the complete Freund adjuvant (CFA)-induced model of inflammatory pain (unilateral, 1 mg/mL in 100 µL) was evaluated in 11 studies across 8 centres. Following a standard protocol, data from participating centres were collected centrally and analysed with a restricted maximum likelihood-based mixed model for repeated measures.

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Burrowing, an ethologically relevant rodent behaviour, has been proposed as a novel outcome measure to assess the global impact of pain in rats. In a prospective multicentre study using male rats (Wistar, Sprague-Dawley), replication of suppressed burrowing behaviour in the complete Freund adjuvant (CFA)-induced model of inflammatory pain (unilateral, 1 mg/mL in 100 µL) was evaluated in 11 studies across 8 centres. Following a standard protocol, data from participating centres were collected centrally and analysed with a restricted maximum likelihood-based mixed model for repeated measures.

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