Article Text

Development and validation of a screening tool to predict the risk of chronic low back pain in patients presenting with acute low back pain: a study protocol
  1. Adrian Traeger1,2,
  2. Nicholas Henschke3,
  3. Markus Hübscher1,2,
  4. Christopher M Williams4,5,
  5. Steven J Kamper5,
  6. Chris G Maher5,
  7. G Lorimer Moseley2,6,
  8. James H McAuley1,2
  1. 1School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
  2. 2Neuroscience Research Australia, Sydney, New South Wales, Australia
  3. 3Institute of Public Health, University of Heidelberg, Heidelberg, Germany
  4. 4Hunter Medical Research Institute and School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
  5. 5The George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia
  6. 6Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia
  1. Correspondence to Dr James McAuley; j.mcauley{at}neura.edu.au

Abstract

Introduction Around 40% of people presenting to primary care with an episode of acute low back pain develop chronic low back pain. In order to reduce the risk of developing chronic low back pain, effective secondary prevention strategies are needed. Early identification of at-risk patients allows clinicians to make informed decisions based on prognostic profile, and researchers to select appropriate participants for secondary prevention trials. The aim of this study is to develop and validate a prognostic screening tool that identifies patients with acute low back pain in primary care who are at risk of developing chronic low back pain. This paper describes the methods and analysis plan for the development and validation of the tool.

Methods/analysis The prognostic screening tool will be developed using methods recommended by the Prognosis Research Strategy (PROGRESS) Group and reported using the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement. In the development stage, we will use data from 1248 patients recruited for a prospective cohort study of acute low back pain in primary care. We will construct 3 logistic regression models to predict chronic low back pain according to 3 definitions: any pain, high pain and disability at 3 months. In the validation stage, we will use data from a separate sample of 1643 patients with acute low back pain to assess the performance of each prognostic model. We will produce validation plots showing Nagelkerke R2 and Brier score (overall performance), area under the curve statistic (discrimination) and the calibration slope and intercept (calibration).

Ethics and dissemination Ethical approval from the University of Sydney Ethics Committee was obtained for both of the original studies that we plan to analyse using the methods outlined in this protocol (Henschke et al, ref 11-2002/3/3144; Williams et al, ref 11638).

  • EPIDEMIOLOGY
  • PRIMARY CARE

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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