DOLORisk Dundee

• Research type

  Research Study

• Full title

  DOLORisk Dundee: Development of a Risk Model for (severe) Neuropathic Pain

• IRAS ID

  181986

• Contact name

  Blair H. Smith

• Contact email

  b.h.smith@dundee.ac.uk

• Sponsor organisation

  Tayside Medical Science Centre

• Clinicaltrials.gov Identifier

  UKCRN Portfolio Database (GS:SFHS), 5709; NHS Tayside R&D, 2015NF03

• Duration of Study in the UK

  4 years, 0 months, 1 days

• Research summary

  Neuropathic pain (NP) is common (prevalence 7-8%) and results in significant morbidity, reduced quality of life and with major deleterious impact on health. It is not known why some subjects develop neuropathic pain and others do not following the same injury. The exact nature of risk factors for NP and their interaction are currently poorly understood and will be the focus of this project. We have established an international consortium of researchers in the field of NP (DOLORisk consortium) involving members of established academic European groups studying pain/genomics and neuropathy. Dundee will lead the DOLORisk component that aims to identify environmental and genetic risk factors for developing or worsening NP, and to develop a model for predicting pain outcomes (‘DOLORisk Dundee’).
  We will use existing clinical, psychosocial and genetic data, and new data obtained by questionnaires, from participants in two consented population cohorts: Generation Scotland: the Scottish Family Health Study (GS:SFHS) and Genetics of Diabetes Audit and Research Scotland (GoDARTS). We will survey all available members of these cohorts to collect information about presence/absence of chronic pain and NP, and repeat this survey 18 months later. Through statistical analysis of the GoDARTS data we will identify and quantify the influence of demographic factors, environmental/societal and clinical factors on the risk of developing and maintaining of NP. We will develop a risk model/algorithm for predicting (severe) NP, combining measurable genetic and environmental factors, and test this model using the GS:SFHS data.

• REC name

  Yorkshire & The Humber - South Yorkshire Research Ethics Committee

• REC reference

  15/YH/0285

• Date of REC Opinion

  11 Jun 2015

• REC opinion

  Favourable Opinion