Your browser doesn't support javascript.
loading
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.
Window, Peter; Raymer, Maree; McPhail, Steven M; Vicenzino, Bill; 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, Shaun.
Afiliação
  • Window P; Physiotherapy Department, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia Peter.Window@health.qld.gov.au.
  • Raymer M; STARS Education and Research Alliance, Surgical Treatment and Rehabilitation Service, Metro North Health and University of Queensland, Brisbane, Queensland, Australia.
  • McPhail SM; Physiotherapy Department, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
  • Vicenzino B; Australian Centre for Health Services Innovation (AusHSI), Centre for Healthcare Transformation and School of Public Health & Social Work, Faculty of Health, QUT, Brisbane, Queensland, Australia.
  • Hislop A; The University of Queensland School of Health and Rehabilitation Sciences, Saint Lucia, Queensland, Australia.
  • Vallini A; The University of Queensland School of Health and Rehabilitation Sciences, Saint Lucia, Queensland, Australia.
  • Elwell B; Physiotherapy Department, The Prince Charles Hospital, Chermside, Queensland, Australia.
  • O'Gorman H; Physiotherapy Department, The Prince Charles Hospital, Chermside, Queensland, Australia.
  • Phillips B; Physiotherapy Department, Ipswich Hospital, Ipswich, Queensland, Australia.
  • Wake A; Physiotherapy Department, Mater Hospital, South Brisbane, Queensland, Australia.
  • Cush A; Physiotherapy Department, Townsville Hospital, Townsville, Queensland, Australia.
  • McCaskill S; Physiotherapy Department, Townsville Hospital, Townsville, Queensland, Australia.
  • Garsden L; Physiotherapy Department, Queen Elizabeth II Hospital, Coopers Plains, Queensland, Australia.
  • Dillon M; Physiotherapy Department, Queen Elizabeth II Hospital, Coopers Plains, Queensland, Australia.
  • McLennan A; Physiotherapy Department, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
  • O'Leary S; Physiotherapy Department, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
BMJ Open ; 14(3): e078531, 2024 Mar 23.
Article em En | MEDLINE | ID: mdl-38521532
ABSTRACT

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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Osteoartrite do Joelho Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Osteoartrite do Joelho Idioma: En Ano de publicação: 2024 Tipo de documento: Article