Predicting pain recovery in patients with acute low back pain: Updating and validation of a clinical prediction model

European Journal of Pain : EJP
Tatiane da SilvaM J Hancock

Abstract

The prognosis of acute low back pain (LBP) is typically good; however, there is substantial variation in individual patient's outcomes. We recently developed a prediction model that was able to predict the likelihood of pain recovery in patients with acute LBP who continue to have pain approximately 1 week after initially seeking care. The aims of the current study were to (a) re-categorize the variables in the developmental dataset to be able to validate the model in the validation dataset; (b) refit the existing model in the developmental dataset; and (c) validate the model in the validation dataset. The validation study sample comprised 737 patients with acute LBP, with a pain score of ≥2/10, 1 week after initially seeking care and with duration of current episode of ≤4 weeks. The primary outcome measure was days to pain recovery. Some of the variables from the development dataset were re-categorized prior to refitting the existing model in the developmental dataset using Cox regression. The performance (calibration and discrimination) of the prediction model was then tested in the validation dataset. Three variables of the development dataset were re-categorized. The performance of the prediction model with re-categorized v...Continue Reading

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Citations

Apr 19, 2020·Advances in Skin & Wound Care·Saulo Pereira da CostaMônica Antar Gamba
Nov 7, 2019·Spine·Birgitte Lawaetz MyhrvoldNina Køpke Vøllestad
Nov 13, 2020·Pain Research & Management : the Journal of the Canadian Pain Society = Journal De La Société Canadienne Pour Le Traitement De La Douleur·Hayato ShigetohShu Morioka
Oct 10, 2021·International Archives of Occupational and Environmental Health·Eduardo Gallas LeivasLeandro Alberto Calazans Nogueira

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