Derivation of clinical prediction rules for identifying patients with non-acute low back pain who respond best to a lumbar stabilization exercise program at posttreatment and six-month follow-up

Auteurs

Christian Larivière, Institut de recherche Robert-Sauvé en santé et en sécurité du travail (IRSST), Montréal, QC, Canada, Center for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Institut Universitaire sur la Réadaptation en Déficience Physique de Montréal (IURDPM), Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l’Ile-de-Montréal (CCSMTL), Montréal, QC, Canada
Khalil Rabhi, Independent Statistician Consultant, Montréal, QC, Canada
Richard Preuss, Center for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Institut Universitaire sur la Réadaptation en Déficience Physique de Montréal (IURDPM), Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l’Ile-de-Montréal (CCSMTL), Montréal, QC, Canada, School of Physical & Occupational Therapy, McGill University, Montréal, QC, Canada
Marie-France Coutu, Center for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Institut Universitaire sur la Réadaptation en Déficience Physique de Montréal (IURDPM), Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l’Ile-de-Montréal (CCSMTL), Montréal, QC, Canada, Charles-Le Moyne Hospital Research Centre, Université de Sherbrooke, Longueuil, QC, Canada
Nicolas Roy, Center for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Institut Universitaire sur la Réadaptation en Déficience Physique de Montréal (IURDPM), Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l’Ile-de-Montréal (CCSMTL), Montréal, QC, Canada
Sharon M. Henry, Department of Neurological Sciences, University of Vermont, Burlington, VT, United States

Type de document

Études primaires

Année de publication

2022

Langue

Anglais

Titre de la revue

PLoS ONE

Résumé

Low back pain (LBP) remains one of the most common and incapacitating health conditions worldwide. Clinical guidelines recommend exercise programs after the acute phase, but clinical effects are modest when assessed at a population level. Research needs to determine who is likely to benefit from specific exercise interventions, based on clinical presentation. This study aimed to derive clinical prediction rules (CPRs) for treatment success, using a lumbar stabilization exercise program (LSEP), at the end of treatment and at six-month follow-up. The eight-week LSEP, including clinical sessions and home exercises, was completed by 110 participants with non-acute LBP, with 100 retained at the six-month follow-up. Physical (lumbar segmental instability, motor control impairments, posture and range of motion, trunk muscle endurance and physical performance tests) and psychological (related to fear-avoidance and home-exercise adherence) measures were collected at a baseline clinical exam. Multivariate logistic regression models were used to predict clinical success, as defined by ≥50% decrease in the Oswestry Disability Index. CPRs were derived for success at program completion (T8) and six-month follow-up (T34), negotiating between predictive ability and clinical usability. The chosen CPRs contained four (T8) and three (T34) clinical tests, all theoretically related to spinal instability, making these CPRs specific to the treatment provided (LSEP). The chosen CPRs provided a positive likelihood ratio of 17.9 (T8) and 8.2 (T34), when two or more tests were positive. When applying these CPRs, the probability of treatment success rose from 49% to 96% at T8 and from 53% to 92% at T34. These results support the further development of these CPRs by proceeding to the validation stage. © 2022 Larivière et al.

Mots-clés

Réadaptation physique, Physical rehabilitation, Maux de dos, Backache, Gymnastique de délassement, Relaxation exercise, Entretien de l'aptitude physique, Physical fitness programme

Numéro de projet IRSST

n/a

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