What is the best time point to identify patients at risk of developing persistent low back pain?

Melloh, Markus; Elfering, Achim; Käser, Anja; Rolli Salathé, Cornelia; Barz, Thomas; Zweig, Thomas; Aghayev, Emin; Röder, Christoph; Theis, Jean-Claude (2015). What is the best time point to identify patients at risk of developing persistent low back pain? Journal of back and musculoskeletal rehabilitation, 28(2), pp. 267-276. IOS Press 10.3233/BMR-140514

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BACKGROUND Early identification of patients at risk of developing persistent low back pain (LBP) is crucial. OBJECTIVE Aim of this study was to identify in patients with a new episode of LBP the time point at which those at risk of developing persistent LBP can be best identified.METHODS: Prospective cohort study of 315 patients presenting to a health practitioner with a first episode of acute LBP. Primary outcome measure was functional limitation. Patients were assessed at baseline, three, six, twelve weeks and six months looking at factors of maladaptive cognition as potential predictors. Multivariate logistic regression analysis was performed for all time points. RESULTS The best time point to predict the development of persistent LBP at six months was the twelve-week follow-up (sensitivity 78%; overall predictive value 90%). Cognitions assessed at first visit to a health practitioner were not predictive. CONCLUSIONS Maladaptive cognitions at twelve weeks appear to be suitable predictors for a transition from acute to persistent LBP. Already three weeks after patients present to a health practitioner with acute LBP cognitions might influence the development of persistent LBP. Therefore, cognitive-behavioral interventions should be considered as early adjuvant LBP treatment in patients at risk of developing persistent LBP.

Item Type:

Journal Article (Original Article)

Division/Institute:

07 Faculty of Human Sciences > Institute of Psychology > Work and Organisational Psychology
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Evaluative Research into Orthopaedic Surgery

UniBE Contributor:

Elfering, Achim; Rolli Salathé, Cornelia; Aghayev, Emin and Röder, Christoph

Subjects:

100 Philosophy > 150 Psychology
300 Social sciences, sociology & anthropology
600 Technology > 610 Medicine & health

ISSN:

1053-8127, 1878-6324

Publisher:

IOS Press

Language:

English

Submitter:

Ives Gerber

Date Deposited:

02 Apr 2015 11:07

Last Modified:

05 Aug 2015 10:20

Publisher DOI:

10.3233/BMR-140514

PubMed ID:

25096312

Uncontrolled Keywords:

Prospective cohort study maladaptive cognitions persistent low back pain predictors prognosis risk factors

URI:

https://boris.unibe.ch/id/eprint/65982

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