BMJ Open (Mar 2024)

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

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

DOI
https://doi.org/10.1136/bmjopen-2023-078531
Journal volume & issue
Vol. 14, no. 3

Abstract

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Objectives We 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.Design Multisite prospective longitudinal study.Setting Advanced practice physiotherapist-led multidisciplinary service across six tertiary hospitals.Participants Participants with knee osteoarthritis deemed appropriate for trial of non-surgical management following an initial assessment from an advanced practice physiotherapist were eligible for inclusion.Interventions Baseline clinical nomogram scores were collected before a trial of individualised non-surgical management commenced.Primary outcome measure Clinical 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.Results A 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).Conclusions The 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.