Prospective validity of a clinical prediction rule for response to non-surgical multidisciplinary management of knee osteoarthritis in tertiary care: a multisite prospective longitudinal study

Author:

Window PeterORCID,Raymer Maree,McPhail Steven M,Vicenzino BillORCID,Hislop Andrew,Vallini Alex,Elwell Bula,O'Gorman Helen,Phillips Ben,Wake Anneke,Cush Adrian,McCaskill Stuart,Garsden Linda,Dillon Miriam,McLennan Andrew,O'Leary ShaunORCID

Abstract

ObjectivesWe tested a previously developed clinical prediction tool—a nomogram consisting of four patient measures (lower patient-expected benefit, lower patient-reported knee function, greater knee varus angle and severe medial knee radiological degeneration) that were related to poor response to non-surgical management of knee osteoarthritis. This study sought to prospectively evaluate the predictive validity of this nomogram to identify patients most likely to respond poorly to non-surgical management of knee osteoarthritis.DesignMultisite prospective longitudinal study.SettingAdvanced practice physiotherapist-led multidisciplinary service across six tertiary hospitals.ParticipantsParticipants with knee osteoarthritis deemed appropriate for trial of non-surgical management following an initial assessment from an advanced practice physiotherapist were eligible for inclusion.InterventionsBaseline clinical nomogram scores were collected before a trial of individualised non-surgical management commenced.Primary outcome measureClinical outcome (Global Rating of Change) was collected 6 months following commencement of non-surgical management and dichotomised to responder (a little better to a very great deal better) or poor responder (almost the same to a very great deal worse). Clinical nomogram accuracy was evaluated from receiver operating characteristics curve analysis and area under the curve, and sensitivity/specificity and positive/negative likelihood ratios were calculated.ResultsA total of 242 participants enrolled. Follow-up scores were obtained from 210 participants (87% response rate). The clinical nomogram demonstrated an area under the curve of 0.70 (p<0.001), with greatest combined sensitivity 0.65 and specificity 0.64. The positive likelihood ratio was 1.81 (95% CI 1.32 to 2.36) and negative likelihood ratio 0.55 (95% CI 0.41 to 0.75).ConclusionsThe knee osteoarthritis clinical nomogram prediction tool may have capacity to identify patients at risk of poor response to non-surgical management. Further work is required to determine the implications for service delivery, feasibility and impact of implementing the nomogram in clinical practice.

Funder

Royal Brisbane and Women's Hospital (RBWH) Foundation

Publisher

BMJ

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