Risk assessment of vascular complications following manual therapy and exercise for the cervical region: diagnostic accuracy of the International Federation of Orthopaedic Manipulative Physical Therapists framework (The Go4Safe project).

Cervical artery Complication Physical therapy Spinal manipulation Validity

Journal

Journal of physiotherapy
ISSN: 1836-9561
Titre abrégé: J Physiother
Pays: Netherlands
ID NLM: 101528691

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 28 02 2022
revised: 29 06 2023
accepted: 11 08 2023
pubmed: 11 9 2023
medline: 11 9 2023
entrez: 10 9 2023
Statut: ppublish

Résumé

What is the diagnostic accuracy of the International Federation of Orthopaedic Manipulative Physical Therapists (IFOMPT) framework to assess the risk of vascular complications in patients seeking physiotherapy care for neck pain and/or headache? Cross-sectional diagnostic accuracy study. One hundred and fifty patients seeking physiotherapy for neck pain and/or headache in primary care. Nineteen physiotherapists performed the index test according to the IFOMPT framework. Patients were classified as having a high, intermediate or low risk of vascular complications, following manual therapy and/or exercise, derived from the estimated risk of the presence of vascular pathology. The reference test was a consensus medical decision reached by a vascular neurologist and an interventional neurologist, with input from a neuroradiologist. The neurologists had access to clinical data and magnetic resonance imaging of the cervical spine, including an angiogram of the cervical arteries. Diagnostic accuracy measures were calculated for 'no contraindication' (ie, the low-risk category) and 'contraindication' (ie, the high-risk and intermediate-risk categories) for manual therapy and/or exercise. Sensitivity, specificity, predictive values, likelihood ratios and the area under the curve were calculated. Manual therapy and/or exercise were contraindicated in 54.7% of the patients. The sensitivity of the IFOMPT framework was low (0.50, 95% CI 0.39 to 0.61) and its specificity was moderate (0.63, 95% CI 0.51 to 0.75). The positive and negative likelihood ratios were weak at 1.36 (95% CI 0.93 to 1.99) and 0.79 (95% CI 0.60 to 1.05), respectively. The area under the curve was poor (0.57, 95% CI 0.49 to 0.65). The IFOMPT framework has poor diagnostic accuracy when compared with a reference standard consisting of a consensus medical decision.

Identifiants

pubmed: 37690959
pii: S1836-9553(23)00084-X
doi: 10.1016/j.jphys.2023.08.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

260-266

Informations de copyright

Copyright © 2023 Australian Physiotherapy Association. Published by Elsevier B.V. All rights reserved.

Auteurs

Rogier F de Best (RF)

Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.

Michel W Coppieters (MW)

Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands; Menzies Health Institute Queensland, School of Health Sciences and Social Work, Griffith University, Brisbane and Gold Coast, Australia.

Emiel van Trijffel (E)

Ziekenhuisgroep Twente, ZGT Academy, Almelo, The Netherlands.

Annette Compter (A)

Department of Neuro-Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Maarten Uyttenboogaart (M)

Department of Neurology and Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Joost C Bot (JC)

Department of Radiology, Amsterdam University Medical Center, Amsterdam, The Netherlands.

Rene Castien (R)

Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.

Jan Jm Pool (JJ)

Research Group Lifestyle and Health, HU University of Applied Sciences Utrecht, Utrecht, The Netherlands.

Barbara Cagnie (B)

Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium.

Gwendolyne Gm Scholten-Peeters (GG)

Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands. Electronic address: g.g.m.scholten-peeters@vu.nl.

Classifications MeSH