Chronic low back pain clinical outcomes present higher associations with the STarT Back Screening Tool than with physiologic measures: a 12-month cohort study

BackgroundStratification strategies based on identifying patient’s prognosis in order to guide patient care constitute one of the most prominent and recent approach in low back pain research. The STarT Back Screening Tool (SBST) although promising, has not been studied in patients with chronic low back pain (cLBP). Considering how challenging it is to translate research into practice, the value of integrating a new tool should be thoroughly assessed. The purpose was therefore to assess associations between the short- and long-terms clinical status and two types of variables, physiologic measures and the SBST, in participants with cLBP. The ability of both types of variables to discriminate between participants with and without higher levels of disability, pain, fear of movement and patient’s global impression of change was also investigated.MethodsFifty-three volunteers with cLBP participated in an initial evaluation and follow-ups at 2-, 4-, 6- and 12-month. Physiologic measures (maximal voluntary contraction, maximal endurance and muscle activity evaluated during prone and lateral isometric tasks) and the SBST were assessed at baseline. Disability (Oswestry Disability Index, ODI), pain intensity (101-point Numerical Rating Scale, NRS), fear of movement (Tampa Scale for Kinesiophobia, TSK) and patient’s global impression of change (7-point scale, PGIC) were evaluated at baseline and at each follow-up. Aside the use of correlation analyses to assess potential associations; ROC curves were performed to evaluate the discriminative ability of physiologic measures and the SBST.ResultsThe SBST allowed for the identification of participants presenting higher levels of disability (ODI ≥24 %), pain (NRS ≥37 %) or fear of movement (TSK ≥41/68) over a 12-month period (AUC = 0.71 to 0.84, ps < 0.05). The SBST score was also correlated with disability at each follow-up (τ = 0.22 to 0.33, ps < 0.05) and with pain intensity and fear of movement at follow-ups. Among physiologic measures, only maximal voluntary contraction was correlated to disability, pain intensity or fear of movement during the follow-up (|τ| = 0.26 to 0.32, ps < 0.05) and none was able to identify participants presenting higher levels of outcomes (AUC ps > 0.05).ConclusionPhysiologic measures obtained during prone and lateral tests have limited associations with the clinical status over a 12-month period in patients with nonspecific chronic low back pain. On the other hand, the STarT Back Screening Tool is useful for the identification of patients who will present higher levels of disability, pain intensity and fear of movement over a year.Trial registrationClinicaltrials.gov NCT02226692

[1]  A. Elfering,et al.  Identification of prognostic factors for chronicity in patients with low back pain: a review of screening instruments , 2009, International Orthopaedics.

[2]  J. Cabri,et al.  [Cross-cultural validation of the Oswestry disability index in French]. , 2008, Annales de readaptation et de medecine physique : revue scientifique de la Societe francaise de reeducation fonctionnelle de readaptation et de medecine physique.

[3]  Olivier Gagey,et al.  The natural course of low back pain: a systematic critical literature review , 2012, Chiropractic & Manual Therapies.

[4]  C. Demoulin,et al.  Spinal muscle evaluation using the Sorensen test: a critical appraisal of the literature. , 2006, Joint, bone, spine : revue du rhumatisme.

[5]  Richard D Riley,et al.  Prognosis research strategy (PROGRESS) 4: Stratified medicine research , 2013, BMJ : British Medical Journal.

[6]  P. Shekelle,et al.  A Consensus Approach Toward the Standardization of Back Pain Definitions for Use in Prevalence Studies , 2008, Spine.

[7]  A. Plamondon,et al.  Back muscle fatigue during intermittent prone back extension exercise , 2004, Scandinavian journal of medicine & science in sports.

[8]  Abbas Heydari,et al.  EMG analysis of lumbar paraspinal muscles as a predictor of the risk of low-back pain , 2010, European Spine Journal.

[9]  R. Forthofer,et al.  Rank Correlation Methods , 1981 .

[10]  An Electromyographic Analysis of the Ab-Slide Exercise, Abdominal Crunch, Supine Double Leg Thrust, and Side Bridge in Healthy Young Adults: Implications for Rehabilitation Professionals , 2008, Journal of strength and conditioning research.

[11]  J. Fritz,et al.  Psychosocial Influences on Low Back Pain, Disability, and Response to Treatment , 2011, Physical Therapy.

[12]  K. Dunn,et al.  Subgrouping low back pain: A comparison of the STarT Back Tool with the Örebro Musculoskeletal Pain Screening Questionnaire , 2010, European journal of pain.

[13]  M. Descarreaux,et al.  Physical and psychosocial predictors of functional trunk capacity in older adults with and without low back pain. , 2012, Journal of manipulative and physiological therapeutics.

[14]  M. McGirt,et al.  Evaluating Common Outcomes for Measuring Treatment Success for Chronic Low Back Pain , 2011, Spine.

[15]  D. Falla,et al.  Reduced task-induced variations in the distribution of activity across back muscle regions in individuals with low back pain , 2014, PAIN®.

[16]  J. Neary,et al.  Assessment of neuromuscular and haemodynamic activity in individuals with and without chronic low back pain , 2006, Dynamic medicine : DM.

[17]  S. Bryan,et al.  Comparison of Stratified Primary Care Management for Low Back Pain with Current Best Practice (STarTBack): A Randomised Controlled Trial , 2013, physioscience.

[18]  D. A. van der Windt,et al.  Low back pain symptoms show a similar pattern of improvement following a wide range of primary care treatments: a systematic review of randomized clinical trials. , 2010, Rheumatology.

[19]  P. Kent,et al.  The predictive and external validity of the STarT Back Tool in Danish primary care , 2013, European Spine Journal.

[20]  Trunk muscle fatigue during a lateral isometric hold test: what are we evaluating? , 2012, Chiropractic & Manual Therapies.

[21]  B. Koes,et al.  Prognostic Factors for Recovery in Chronic Nonspecific Low Back Pain: A Systematic Review , 2011, Physical Therapy.

[22]  Gordon Waddell,et al.  The Back Pain Revolution , 1998 .

[23]  J. Knottnerus,et al.  The usability of six physical performance tasks in a rehabilitation population with chronic low back pain , 2006, Clinical rehabilitation.

[24]  M. Grotle,et al.  Are prognostic indicators for poor outcome different for acute and chronic low back pain consulters in primary care? , 2010, PAIN®.

[25]  D. Gravel,et al.  Toward the development of predictive equations of back muscle capacity based on frequency- and temporal-domain electromyographic indices computed from intermittent static contractions. , 2009, The spine journal : official journal of the North American Spine Society.

[26]  J. M. Bevan,et al.  Rank Correlation Methods , 1949 .

[27]  P. Kent,et al.  The predictive ability of the STarT Back Screening Tool in a Danish secondary care setting , 2013, European Spine Journal.

[28]  D. A. van der Windt,et al.  What is the prognosis of back pain? , 2010, Best practice & research. Clinical rheumatology.

[29]  A. Akobeng Understanding diagnostic tests 2: likelihood ratios, pre‐ and post‐test probabilities and their use in clinical practice , 2007, Acta paediatrica.

[30]  Cerema Nord-Picardie,et al.  Etudes et recherches , 2016 .

[31]  D. Gravel,et al.  A submaximal test to assess back muscle capacity: evaluation of construct validity. , 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[32]  J. Farrar,et al.  Core outcome measures for chronic pain clinical trials: IMMPACT recommendations , 2003, Pain.

[33]  J. Reginster,et al.  Validity and Reliability of the French Version of the STarT Back Screening Tool for Patients With Low Back Pain , 2014, Spine.

[34]  Bernadette A. Thomas,et al.  Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[35]  L. Hestbaek,et al.  Clinical examination findings as prognostic factors in low back pain: a systematic review of the literature , 2015, Chiropractic & Manual Therapies.

[36]  J. Fritz,et al.  The STarT Back Screening Tool and Individual Psychological Measures: Evaluation of Prognostic Capabilities for Low Back Pain Clinical Outcomes in Outpatient Physical Therapy Settings , 2012, Physical Therapy.

[37]  J. Freburger,et al.  Exercise prescription for chronic back or neck pain: who prescribes it? who gets it? What is prescribed? , 2009, Arthritis and rheumatism.

[38]  P. Stratford,et al.  Assessing change over time in patients with low back pain. , 1994, Physical therapy.

[39]  M. Descarreaux,et al.  Back and hip extensor muscles fatigue in healthy subjects: task-dependency effect of two variants of the Sorensen test , 2008, European Spine Journal.

[40]  D. A. van der Windt,et al.  Low back pain research--future directions. , 2013, Best practice & research. Clinical rheumatology.

[41]  Ricky Mullis,et al.  A primary care back pain screening tool: identifying patient subgroups for initial treatment. , 2008, Arthritis and rheumatism.

[42]  B. Green,et al.  Isometric back extension endurance tests: a review of the literature. , 2001, Journal of manipulative and physiological therapeutics.

[43]  Chris J. Main,et al.  Comparing the responsiveness of a brief, multidimensional risk screening tool for back pain to its unidimensional reference standards: The whole is greater than the sum of its parts , 2012, PAIN®.

[44]  A. Nargol,et al.  The value of electromyography of the lumbar paraspinal muscles in discriminating between chronic-low-back-pain sufferers and normal subjects , 2005, European Spine Journal.

[45]  P. Dolan,et al.  The use of surface EMG power spectral analysis in the evaluation of back muscle function. , 1997, Journal of rehabilitation research and development.

[46]  Daniel Massicotte,et al.  Trunk motor variability in patients with non-specific chronic low back pain , 2014, European Journal of Applied Physiology.

[47]  N. Foster,et al.  Stratified models of care. , 2013, Best practice & research. Clinical rheumatology.