1
|
Bronfort G, Delitto A, Schneider M, Heagerty PJ, Chou R, Connett J, Evans R, George S, Glick RM, Greco C, Hanson L, Keefe F, Leininger B, Licciardone J, McFarland C, Meier E, Schulz C, Turk D. Effectiveness of spinal manipulation and biopsychosocial self-management compared to medical care for low back pain: a randomized trial study protocol. BMC Musculoskelet Disord 2023; 24:415. [PMID: 37231386 PMCID: PMC10209583 DOI: 10.1186/s12891-023-06549-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 05/18/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Chronic low back pain (cLBP) is widespread, costly, and burdensome to patients and health systems. Little is known about non-pharmacological treatments for the secondary prevention of cLBP. There is some evidence that treatments addressing psychosocial factors in higher risk patients are more effective than usual care. However, most clinical trials on acute and subacute LBP have evaluated interventions irrespective of prognosis. METHODS We have designed a phase 3 randomized trial with a 2 × 2 factorial design. The study is also a Hybrid type 1 trial with focus on intervention effectiveness while simultaneously considering plausible implementation strategies. Adults (n = 1000) with acute/subacute LBP at moderate to high risk of chronicity based on the STarT Back screening tool will be randomized in to 1 of 4 interventions lasting up to 8 weeks: supported self-management (SSM), spinal manipulation therapy (SMT), both SSM and SMT, or medical care. The primary objective is to assess intervention effectiveness; the secondary objective is to assess barriers and facilitators impacting future implementation. Primary effectiveness outcome measures are: (1) average pain intensity over 12 months post-randomization (pain, numerical rating scale); (2) average low back disability over 12 months post-randomization (Roland-Morris Disability Questionnaire); (3) prevention of cLBP that is impactful at 10-12 months follow-up (LBP impact from the PROMIS-29 Profile v2.0). Secondary outcomes include: recovery, PROMIS-29 Profile v2.0 measures to assess pain interference, physical function, anxiety, depression, fatigue, sleep disturbance, and ability to participate in social roles and activities. Other patient-reported measures include LBP frequency, medication use, healthcare utilization, productivity loss, STarT Back screening tool status, patient satisfaction, prevention of chronicity, adverse events, and dissemination measures. Objective measures include the Quebec Task Force Classification, Timed Up & Go Test, the Sit to Stand Test, and the Sock Test assessed by clinicians blinded to the patients' intervention assignment. DISCUSSION By targeting those subjects at higher risk this trial aims to fill an important gap in the scientific literature regarding the effectiveness of promising non-pharmacological treatments compared to medical care for the management of patients with an acute episode of LBP and the prevention of progression to a severe chronic back problem. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03581123.
Collapse
Affiliation(s)
- Gert Bronfort
- Integrative Health and Wellbeing Research Program Earl E. Bakken Center for Spirituality & Healing, University of Minnesota, Mayo Memorial Building C504, 420 Delaware Street, Minneapolis, MN 55414 USA
| | - Anthony Delitto
- School of Health and Rehabilitation Sciences, Department of Physical Therapy, University of Pittsburgh, 4029 Forbes Tower, Pittsburgh, PA 15260 USA
| | - Michael Schneider
- School of Health and Rehabilitation Sciences, Department of Physical Therapy, University of Pittsburgh, Bridgeside Point 1, 100 Technology Drive, Suite 500, Pittsburgh, PA 15219 USA
| | - Patrick J. Heagerty
- School of Public Health, Department of Biostatistics, University of Washington, 1959 NE Pacific Street, Box 357232, Seattle, WA 98195 USA
| | - Roger Chou
- School of Medicine, Division of General Internal Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road L475, Portland, OR 97239-3098 USA
| | - John Connett
- School of Public Health, Division of Biostatistics, University of Minnesota, 717 Delaware Street SE, 2nd Floor, Minneapolis, MN 5455 USA
| | - Roni Evans
- Integrative Health and Wellbeing Research Program Earl E. Bakken Center for Spirituality & Healing, University of Minnesota, Mayo Memorial Building C504, 420 Delaware Street, Minneapolis, MN 55414 USA
| | - Steven George
- School of Medicine, Department of Orthopaedic Surgery, Duke University, 8020 North Pavilion, Durham, NC 27705 USA
| | - Ronald M. Glick
- School of Medicine, Departments of Psychiatry and Physical Medicine & Rehabilitation, University of Pittsburgh, 580 S. Aiken Avenue, Suite 310, Pittsburgh, PA 15232 USA
| | - Carol Greco
- School of Medicine, Department of Psychiatry, University of Pittsburgh, 580 S. Aiken Avenue, Suite 310, Pittsburgh, PA 15232 USA
| | - Linda Hanson
- Integrative Health and Wellbeing Research Program Earl E. Bakken Center for Spirituality & Healing, University of Minnesota, Mayo Memorial Building C504, 420 Delaware Street, Minneapolis, MN 55414 USA
| | - Francis Keefe
- School of Medicine, Department of Medicine, Duke University, 2200 W Main St., Suite 340, Durham, NC 27705 USA
| | - Brent Leininger
- Integrative Health and Wellbeing Research Program Earl E. Bakken Center for Spirituality & Healing, University of Minnesota, Mayo Memorial Building C504, 420 Delaware Street, Minneapolis, MN 55414 USA
| | - John Licciardone
- Health Science Center, University of North Texas, 3500 Camp Bowie Blvd, Fort Worth, TX 76107 USA
| | - Christine McFarland
- School of Health and Rehabilitation Sciences, Department of Physical Therapy, University of Pittsburgh, Bridgeside Point 1, 100 Technology Drive, Suite 500, Pittsburgh, PA 15219 USA
| | - Eric Meier
- School of Public Health, Department of Biostatistics, University of Washington, 4333 Brooklyn Avenue NE, Box 359461, Seattle, WA 98195 USA
| | - Craig Schulz
- Integrative Health and Wellbeing Research Program Earl E. Bakken Center for Spirituality & Healing, University of Minnesota, Mayo Memorial Building C504, 420 Delaware Street, Minneapolis, MN 55414 USA
| | - Dennis Turk
- Department of Anesthesiology & Pain Medicine, University of Washington, Box 358045, Seattle, WA 98195 USA
| |
Collapse
|
2
|
Bronfort G, Delitto A, Schneider M, Heagerty P, Chou R, Connett J, Evans R, George S, Glick R, Greco C, Hanson L, Keefe F, Leininger B, Licciardone J, McFarland C, Meier E, Schulz C, Turk D. Effectiveness of Spinal Manipulation and Biopsychosocial Self-Management compared to Medical Care for Low Back Pain: A Randomized Trial Study Protocol. RESEARCH SQUARE 2023:rs.3.rs-2865633. [PMID: 37205428 PMCID: PMC10187435 DOI: 10.21203/rs.3.rs-2865633/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Background Chronic low back pain (cLBP) is widespread, costly, and burdensome to patients and health systems. Little is known about non-pharmacological treatments for the secondary prevention of cLBP. There is some evidence that treatments addressing psychosocial factors in higher risk patients are more effective than usual care. However, most clinical trials on acute and subacute LBP have evaluated interventions irrespective of prognosis. Methods We have designed a phase 3 randomized trial with a 2x2 factorial design. The study is also a Hybrid type 1 trial with focus on intervention effectiveness while simultaneously considering plausible implementation strategies. Adults (n = 1000) with acute/subacute LBP at moderate to high risk of chronicity based on the STarT Back screening tool will be randomized in to 1 of 4 interventions lasting up to 8 weeks: supported self-management (SSM), spinal manipulation therapy (SMT), both SSM and SMT, or medical care. The primary objective is to assess intervention effectiveness; the secondary objective is to assess barriers and facilitators impacting future implementation. Primary effectiveness outcome measures are: (1) average pain intensity over 12 months post-randomization (pain, numerical rating scale); (2) average low back disability over 12 months post-randomization (Roland-Morris Disability Questionnaire); (3) prevention of cLBP that is impactful at 10-12 months follow-up (LBP impact from the PROMIS-29 Profile v2.0). Secondary outcomes include: recovery, PROMIS-29 Profile v2.0 measures to assess pain interference, physical function, anxiety, depression, fatigue, sleep disturbance, and ability to participate in social roles and activities. Other patient-reported measures include LBP frequency, medication use, healthcare utilization, productivity loss, STarT Back screening tool status, patient satisfaction, prevention of chronicity, adverse events, and dissemination measures. Objective measures include the Quebec Task Force Classification, Timed Up & Go Test, the Sit to Stand Test, and the Sock Test assessed by clinicians blinded to the patients' intervention assignment. Discussion By targeting those subjects at higher risk this trial aims to fill an important gap in the scientific literature regarding the effectiveness of promising non-pharmacological treatments compared to medical care for the management of patients with an acute episode of LBP and the prevention of progression to a severe chronic back problem. Trial registration: ClinicalTrials.gov Identifier: NCT03581123.
Collapse
|
3
|
Hochheim M, Ramm P, Wunderlich M, Amelung V. A cross-sectional study to validate an administrative back pain severity classification tool based on the graded chronic pain scale. Sci Rep 2022; 12:16927. [PMID: 36209228 PMCID: PMC9547910 DOI: 10.1038/s41598-022-21422-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 09/27/2022] [Indexed: 12/29/2022] Open
Abstract
Treatment of chronic lower back pain (CLBP) should be stratified for best medical and economic outcome. To improve the targeting of potential participants for exclusive therapy offers from payers, Freytag et al. developed a tool to classify back pain chronicity classes (CC) based on claim data. The aim of this study was to evaluate the criterion validity of the model. Administrative claim data and self-reported patient information from 3,506 participants (2014-2021) in a private health insurance health management programme in Germany were used to validate the tool. Sensitivity, specificity, and Matthews' correlation coefficient (MCC) were calculated comparing the prediction with actual grades based on von Korff's graded chronic pain scale (GCPS). The secondary outcome was an updated view on direct health care costs (€) of patients with back pain (BP) grouped by GCPS. Results showed a fair correlation between predicted CC and actual GCPS grades. A total of 69.7% of all cases were correctly classified. Sensitivity and specificity rates of 54.6 and 76.4% underlined precision. Correlation between CC and GCPS with an MCC of 0.304 also indicated a fair relationship between prediction and observation. Cost data could be clearly grouped by GCPS: the higher the grade, the higher the costs and the use of health care. This was the first study to compare the predicted severity of BP using claim data with the actual severity of BP by GCPS. Based on the results, the usage of CC as a single tool to determine who receives CLBP treatment cannot be recommended. CC is a good tool to segment candidates for specific types of intervention in BP. However, it cannot replace a medical screening at the beginning of an intervention, as the rate of false negatives is too high. Trial registration The study was conducted using routinely collected data from an intervention, which was previously evaluated and registered retrospectively in the German Registry of Clinical Trials under DRKS00015463 (04/09/2018). Informed consent and the self-reported questionnaire have remained unchanged since the study and, therefore, are still valid according to the ethics proposal.
Collapse
Affiliation(s)
- M Hochheim
- Institute of Epidemiology, Social Medicine, and Health System Research, Hannover Medical School (MHH), Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
- Generali Health Solutions GmbH (GHS), Hansaring 40 - 50, 50670, Köln, Germany.
| | - P Ramm
- Generali Health Solutions GmbH (GHS), Hansaring 40 - 50, 50670, Köln, Germany
| | - M Wunderlich
- Generali Health Solutions GmbH (GHS), Hansaring 40 - 50, 50670, Köln, Germany
| | - V Amelung
- Generali Health Solutions GmbH (GHS), Hansaring 40 - 50, 50670, Köln, Germany
| |
Collapse
|
4
|
Contribution of COMT and BDNF Genotype and Expression to the Risk of Transition From Acute to Chronic Low Back Pain. Clin J Pain 2021; 36:430-439. [PMID: 32079998 PMCID: PMC7211115 DOI: 10.1097/ajp.0000000000000819] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
OBJECTIVES A number of factors, including heritability and the environment, contribute to risk of transition from acute low back pain to chronic low back pain (CLBP). The aim of this study was to (1) compare somatosensory function and pain ratings at low back pain (LBP) onset between the acute low back pain and CLBP conditions and (2) evaluate associations between BDNF and COMT polymorphisms and expression levels at LBP onset to acute and chronic pain burden and risk for transition to the chronic pain state. METHODS In this longitudinal study, 220 participants were enrolled following recent onset of LBP and data were collected until the LBP resolved or until the end of the study at 6 months. Forty-two participants' pain resolved before 6 weeks from onset and 42 participants continued to have pain at 6 months. Patient-reported pain burden, somatosensory function (quantitative sensory testing), and blood samples were collected at each study visit. RESULTS CLBP is associated with greater pain burden and somatosensory hypersensitivity at the time of LBP onset. COMT rs4680 genotype (GG) was associated with acute cold pain sensitivity and with the risk for transition to CLBP while COMT expression was independently associated with risk for transition. DISCUSSION CLBP was characterized by higher reported pain burden and augmented hypersensitivity at LBP onset. COMT expression and genotype were associated with acute pain burden and likelihood of transition to CLBP.
Collapse
|
5
|
Research design considerations for chronic pain prevention clinical trials: IMMPACT recommendations. Pain Rep 2021; 6:e895. [PMID: 33981929 PMCID: PMC8108588 DOI: 10.1097/pr9.0000000000000895] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2015] [Revised: 03/31/2015] [Accepted: 04/07/2015] [Indexed: 12/25/2022] Open
Abstract
Although certain risk factors can identify individuals who are most likely to develop chronic pain, few interventions to prevent chronic pain have been identified. To facilitate the identification of preventive interventions, an IMMPACT meeting was convened to discuss research design considerations for clinical trials investigating the prevention of chronic pain. We present general design considerations for prevention trials in populations that are at relatively high risk for developing chronic pain. Specific design considerations included subject identification, timing and duration of treatment, outcomes, timing of assessment, and adjusting for risk factors in the analyses. We provide a detailed examination of 4 models of chronic pain prevention (ie, chronic postsurgical pain, postherpetic neuralgia, chronic low back pain, and painful chemotherapy-induced peripheral neuropathy). The issues discussed can, in many instances, be extrapolated to other chronic pain conditions. These examples were selected because they are representative models of primary and secondary prevention, reflect persistent pain resulting from multiple insults (ie, surgery, viral infection, injury, and toxic or noxious element exposure), and are chronically painful conditions that are treated with a range of interventions. Improvements in the design of chronic pain prevention trials could improve assay sensitivity and thus accelerate the identification of efficacious interventions. Such interventions would have the potential to reduce the prevalence of chronic pain in the population. Additionally, standardization of outcomes in prevention clinical trials will facilitate meta-analyses and systematic reviews and improve detection of preventive strategies emerging from clinical trials.
Collapse
|
6
|
Tagliaferri SD, Angelova M, Zhao X, Owen PJ, Miller CT, Wilkin T, Belavy DL. Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews. NPJ Digit Med 2020; 3:93. [PMID: 32665978 PMCID: PMC7347608 DOI: 10.1038/s41746-020-0303-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 06/05/2020] [Indexed: 12/17/2022] Open
Abstract
Artificial intelligence and machine learning (AI/ML) could enhance the ability to detect patterns of clinical characteristics in low-back pain (LBP) and guide treatment. We conducted three systematic reviews to address the following aims: (a) review the status of AI/ML research in LBP, (b) compare its status to that of two established LBP classification systems (STarT Back, McKenzie). AI/ML in LBP is in its infancy: 45 of 48 studies assessed sample sizes <1000 people, 19 of 48 studies used ≤5 parameters in models, 13 of 48 studies applied multiple models and attained high accuracy, 25 of 48 studies assessed the binary classification of LBP versus no-LBP only. Beyond the 48 studies using AI/ML for LBP classification, no studies examined use of AI/ML in prognosis prediction of specific sub-groups, and AI/ML techniques are yet to be implemented in guiding LBP treatment. In contrast, the STarT Back tool has been assessed for internal consistency, test-retest reliability, validity, pain and disability prognosis, and influence on pain and disability treatment outcomes. McKenzie has been assessed for inter- and intra-tester reliability, prognosis, and impact on pain and disability outcomes relative to other treatments. For AI/ML methods to contribute to the refinement of LBP (sub-)classification and guide treatment allocation, large data sets containing known and exploratory clinical features should be examined. There is also a need to establish reliability, validity, and prognostic capacity of AI/ML techniques in LBP as well as its ability to inform treatment allocation for improved patient outcomes and/or reduced healthcare costs.
Collapse
Affiliation(s)
- Scott D. Tagliaferri
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC Australia
| | - Maia Angelova
- School of Information Technology, Deakin University, Geelong, VIC Australia
| | - Xiaohui Zhao
- Xi’an University of Architecture & Technology, Beilin, Xi’an China
| | - Patrick J. Owen
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC Australia
| | - Clint T. Miller
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC Australia
| | - Tim Wilkin
- School of Information Technology, Deakin University, Geelong, VIC Australia
| | - Daniel L. Belavy
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC Australia
| |
Collapse
|
7
|
Whole blood transcriptomic profiles can differentiate vulnerability to chronic low back pain. PLoS One 2019; 14:e0216539. [PMID: 31095601 PMCID: PMC6522025 DOI: 10.1371/journal.pone.0216539] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 04/23/2019] [Indexed: 01/15/2023] Open
Abstract
The mechanisms underlying the transition from acute to chronic pain remain unclear. Here, we sought to characterize the transcriptome associated with chronic low back pain as well as the transcriptome of the transition from acute to chronic low back pain. For the analysis, we compared the whole blood transcriptome of: (a) patients at the onset of low back pain who no longer had pain within 6 weeks after onset (acute) with patients who developed chronic low back pain at 6 months (chronic T5); and, (b) patients at the onset of low back pain (chronic T1) who developed chronic pain at 6 months with healthy pain-free (normal) controls. The majority of differentially expressed genes were protein coding. We illustrate a unique chronic low back pain transcriptome characterized by significant enrichment for known pain genes, extracellular matrix genes, and genes from the extended major histocompatibility complex (MHC) genomic locus. The transcriptome of the transition from acute to chronic low back pain was characterized by significant upregulation of antigen presentation pathway (MHC class I and II) genes and downregulation of mitochondrial genes associated with oxidative phosphorylation, suggesting a unique genomic signature of vulnerability to low back pain chronicity.
Collapse
|
8
|
Werneke MW, Edmond S, Young M, Grigsby D, McClenahan B, McGill T. Association between changes in function among patients with lumbar impairments classified according to the STarT Back Screening Tool and managed by McKenzie credentialed physiotherapists. Physiother Theory Pract 2018; 36:589-597. [DOI: 10.1080/09593985.2018.1490839] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
| | - Susan Edmond
- Doctoral Programs in Physical Therapy, Rutgers The State University of New Jersey, Newark, NJ, USA
| | - Michelle Young
- Rehabilitation Services, Valley Health Wellness and Fitness Center, Winchester, VA, USA
| | - David Grigsby
- MidSouth Orthopaedic Rehabilitation, Physical Therapy, Cordova, TN, USA
| | | | - Troy McGill
- Providence Rehabilitation Services, Outpatient Therapies, Providence Alaska Medical Center, Anchorage, AK, USA
| |
Collapse
|
9
|
Suri P, Delaney K, Rundell SD, Cherkin DC. Predictive Validity of the STarT Back Tool for Risk of Persistent Disabling Back Pain in a U.S. Primary Care Setting. Arch Phys Med Rehabil 2018; 99:1533-1539.e2. [PMID: 29625095 DOI: 10.1016/j.apmr.2018.02.016] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 01/25/2018] [Accepted: 02/21/2018] [Indexed: 10/17/2022]
Abstract
OBJECTIVE To examine the predictive validity of the Subgrouping for Targeted Treatment (STarT Back) tool for classifying people with back pain into categories of low, medium, and high risk of persistent disabling back pain in U.S. primary care. DESIGN Secondary analysis of data from participants receiving usual care in a randomized clinical trial. SETTING Primary care clinics. PARTICIPANTS Adults (N = 1109) ≥18 years of age with back pain. Those with specific causes of back pain (pregnancy, disc herniation, vertebral fracture, spinal stenosis) and work-related injuries were not included. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES The original 9-item version of the STarT Back tool, administered at baseline, stratified patients by their risk (low, medium, high) of persistent disabling back pain (STarT Back risk group). Persistent disabling back pain was defined as Roland-Morris Disability Questionnaire scores of ≥7 at 6-month follow-up. RESULTS The STarT Back risk group was a significant predictor of persistent disabling back pain (P<.0001) at 6-month follow-up. The proportion of individuals with persistent disabling back pain at follow-up was 22% (95% confidence interval [CI] 18-25) in the low-risk group, 62% (95% CI 57-67) in the medium-risk group, and 80% (95% CI 75-85) in the high-risk group. The relative risk of persistent disabling back pain was 2.9 (95% CI 2.4-3.5) in the medium-risk group compared to the low-risk group, and 3.7 (95% CI 3.1-4.4) in the high-risk group. CONCLUSIONS The STarT Back risk groups successfully separated people with back pain into distinct categories of risk for persistent disabling back pain at 6-month follow-up in U.S. primary care. These results were very similar to those in the original STarT Back validation study. This validation study is a necessary first step toward identifying whether the entire STarT Back approach, including matched/targeted treatment, can be effectively used for primary care in the United States.
Collapse
Affiliation(s)
- Pradeep Suri
- Seattle Epidemiologic Research and Information Center (ERIC), Department of Veterans Affairs Office of Research and Development, Seattle, Washington; Division of Rehabilitation Care Services, VA Puget Sound Health Care System, Seattle, Washington; Department of Rehabilitation Medicine, University of Washington, Seattle, Washington.
| | - Kristin Delaney
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente, Seattle, Washington
| | - Sean D Rundell
- Department of Rehabilitation Medicine, University of Washington, Seattle, Washington; Department of Health Services, University of Washington, Seattle, Washington
| | - Daniel C Cherkin
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente, Seattle, Washington
| |
Collapse
|
10
|
Rundell SD, Sherman KJ, Heagerty PJ, Mock CN, Dettori NJ, Comstock BA, Avins AL, Nedeljkovic SS, Nerenz DR, Jarvik JG. Predictors of Persistent Disability and Back Pain in Older Adults with a New Episode of Care for Back Pain. PAIN MEDICINE 2018; 18:1049-1062. [PMID: 27688311 DOI: 10.1093/pm/pnw236] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Objective To identify predictors of persistent disability and back pain in older adults. Design Prospective cohort study. Setting Back pain outcomes using longitudinal data registry. Subjects Five thousand two hundred twenty adults age 65 years and older with a new primary care visit for back pain. Methods Baseline measurements included: demographics, health, and back pain characteristics. We abstracted imaging findings from 348 radiology reports. The primary outcomes were the Roland-Morris Disability Questionnaire (RMDQ) and back pain intensity. We defined persistent disability as RMDQ of 4/24 or higher at both six and 12 months and persistent back pain as pain 3/10 or higher at both six and 12 months. Results There were 2,498 of 4,143 (60.3%) participants with persistent disability, and 2,099 of 4,144 (50.7%) had persistent back pain. Adjusted analyses showed the following characteristics most strongly predictive of persistent disability and persistent back pain: sex, race, worse baseline clinical characteristics of back pain, leg pain, back-related disability and duration of symptoms, smoking, anxiety symptoms, depressive symptoms, a history of falls, greater number of comorbidities, knee osteoarthritis, wide-spread pain syndromes, and an index diagnosis of lumbar spinal stenosis. Within the imaging data subset, central spinal stenosis was not associated with disability or pain. Conclusion We found that many predictors in older adults were similar to those for younger populations.
Collapse
Affiliation(s)
- Sean D Rundell
- Department of Rehabilitation Medicine.,Comparative Effectiveness, Cost, and Outcomes Research Center
| | | | | | - Charles N Mock
- Department of Epidemiology, University of Washington and Harborview Injury Prevention Research Center, Seattle, Washington
| | | | | | - Andrew L Avins
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Srdjan S Nedeljkovic
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, and Spine Unit, Harvard Vanguard Medical Associates, Boston, MA
| | - David R Nerenz
- Henry Ford Hospital, Neuroscience Institute, Detroit, MI, USA
| | - Jeffrey G Jarvik
- Comparative Effectiveness, Cost, and Outcomes Research Center.,Department of Radiology, Neurological Surgery, Orthopedic Surgery and Sports Medicine, Health Services and Pharmacy, University of Washington, Seattle, Washington
| |
Collapse
|
11
|
Werneke MW, Edmond S, Young M, Grigsby D, McClenahan B, McGill T. Directional preference and functional outcomes among subjects classified at high psychosocial risk using STarT. PHYSIOTHERAPY RESEARCH INTERNATIONAL 2018. [PMID: 29536595 DOI: 10.1002/pri.1711] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND AND PURPOSE Physiotherapy has an important role in managing patients with non-specific low back pain who experience elevated psychosocial distress or risk for chronic disability. In terms of evidence-based physiotherapy practice, cognitive-behavioural approaches for patients at high psychosocial risk are the recommended management to improve patient treatment outcomes. Evidence also suggests that directional preference (DP) is an important treatment effect modifier for prescribing specific exercises for patients to improve outcomes. Little is known about the influence of treatment techniques based on DP on outcomes for patients classified as high psychosocial risk using the Subgroups for Targeted Treatment (STarT) Back Screening Tool. This study aimed to examine the association between functional status (FS) at rehabilitation discharge for patients experiencing low back pain classified at high STarT psychosocial risk and whose symptoms showed a DP versus No-DP. METHODS High STarT risk patients (n = 138) completed intake surveys, that is, the lumbar FS of Focus On Therapeutic Outcomes, Inc., and STarT, and were evaluated for DP by physiotherapists credentialed in McKenzie methods. The FS measure of Focus On Therapeutic Outcomes, Inc., was repeated at discharge. DP and No-DP prevalence rates were calculated. Associations between first-visit DP and No-DP and change in FS were assessed using univariate and multivariate regression models controlling for 11 risk-adjusted variables. RESULTS One hundred nine patients classified as high STarT risk had complete intake and discharge FS and DP data. Prevalence rate for DP was 65.1%. A significant and clinically important difference (7.98 FS points; p = .03) in change in function at discharge between DP and No-DP was observed after controlling for all confounding variables in the final model. CONCLUSION Findings suggest that interventions matched to DP are effective for managing high psychological risk patients and may provide physiotherapists with an alternative treatment pathway compared to managing similar patients with cognitive-behavioural approaches. Stricter research designs are required to validate study conclusions.
Collapse
Affiliation(s)
| | - Susan Edmond
- Doctoral Programs in Physical Therapy, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Michelle Young
- Rehabilitation Services at The Wellness Center, Winchester Medical Center, Winchester, VA, USA
| | - David Grigsby
- MidSouth Orthopaedic Rehabilitation, Germantown, TN, USA
| | | | | |
Collapse
|
12
|
Scher AI, Buse DC, Fanning KM, Kelly AM, Franznick DA, Adams AM, Lipton RB. Comorbid pain and migraine chronicity: The Chronic Migraine Epidemiology and Outcomes Study. Neurology 2017; 89:461-468. [PMID: 28679597 PMCID: PMC5539732 DOI: 10.1212/wnl.0000000000004177] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 05/10/2017] [Indexed: 01/03/2023] Open
Abstract
Objective: To identify patterns of noncephalic pain comorbidity in people with episodic migraine (EM; <15 headache-days per month) and chronic migraine (CM; ≥15 headache-days per month) and to examine whether the presence of noncephalic pain is an indicator for the 3-month onset or persistence of CM. Methods: Data from the Chronic Migraine Epidemiology and Outcomes (CaMEO) Study, a prospective, web-based study with cross-sectional modules embedded in a longitudinal design, were analyzed at baseline and the 3-month follow-up. Relationships between the number of noncephalic pain sites and 3-month onset of CM or persistent CM were assessed. Results: Of 8,908 eligible respondents, 8,139 (91.4%) had EM and 769 (8.6%) had CM at baseline. At 3 months, the incidence of CM among those with baseline EM was 3.4%. When adjusted for demographics and headache-day frequency, the odds of CM onset among those with baseline EM increased by 30% (95% confidence interval [CI] 1.21–1.40, p < 0.001) for each additional noncephalic pain site at baseline. Among those with CM at baseline, 50.1% had persistent CM at the 3-month follow-up. After adjustment for demographics, individuals with CM were 15% (95% CI 1.07–1.25, p < 0.001) more likely to have persistent CM for each additional noncephalic pain site at baseline. Conclusions: These results suggest that noncephalic pain may be a marker for headache chronicity that could be used to identify people with EM at risk of the onset of CM and people with CM at risk of persistent CM.
Collapse
Affiliation(s)
- Ann I Scher
- From the Department of Neurology (D.C.B., R.B.L.), Albert Einstein College of Medicine, Bronx, NY; Montefiore Medical Center (D.C.B., R.B.L.), Bronx, NY; Vedanta Research (K.M.F.), Chapel Hill, NC; Complete Healthcare Communications (A.M.K., D.A.F.), Chadds Ford, PA; Allergan plc (A.M.A.), Irvine, CA. affiliated with the Department of Preventive Medicine and Biometrics (A.I.S.), Uniformed Services University of the Health Sciences, Bethesda, MD
| | - Dawn C Buse
- From the Department of Neurology (D.C.B., R.B.L.), Albert Einstein College of Medicine, Bronx, NY; Montefiore Medical Center (D.C.B., R.B.L.), Bronx, NY; Vedanta Research (K.M.F.), Chapel Hill, NC; Complete Healthcare Communications (A.M.K., D.A.F.), Chadds Ford, PA; Allergan plc (A.M.A.), Irvine, CA. affiliated with the Department of Preventive Medicine and Biometrics (A.I.S.), Uniformed Services University of the Health Sciences, Bethesda, MD
| | - Kristina M Fanning
- From the Department of Neurology (D.C.B., R.B.L.), Albert Einstein College of Medicine, Bronx, NY; Montefiore Medical Center (D.C.B., R.B.L.), Bronx, NY; Vedanta Research (K.M.F.), Chapel Hill, NC; Complete Healthcare Communications (A.M.K., D.A.F.), Chadds Ford, PA; Allergan plc (A.M.A.), Irvine, CA. affiliated with the Department of Preventive Medicine and Biometrics (A.I.S.), Uniformed Services University of the Health Sciences, Bethesda, MD
| | - Amanda M Kelly
- From the Department of Neurology (D.C.B., R.B.L.), Albert Einstein College of Medicine, Bronx, NY; Montefiore Medical Center (D.C.B., R.B.L.), Bronx, NY; Vedanta Research (K.M.F.), Chapel Hill, NC; Complete Healthcare Communications (A.M.K., D.A.F.), Chadds Ford, PA; Allergan plc (A.M.A.), Irvine, CA. affiliated with the Department of Preventive Medicine and Biometrics (A.I.S.), Uniformed Services University of the Health Sciences, Bethesda, MD
| | - Dana A Franznick
- From the Department of Neurology (D.C.B., R.B.L.), Albert Einstein College of Medicine, Bronx, NY; Montefiore Medical Center (D.C.B., R.B.L.), Bronx, NY; Vedanta Research (K.M.F.), Chapel Hill, NC; Complete Healthcare Communications (A.M.K., D.A.F.), Chadds Ford, PA; Allergan plc (A.M.A.), Irvine, CA. affiliated with the Department of Preventive Medicine and Biometrics (A.I.S.), Uniformed Services University of the Health Sciences, Bethesda, MD
| | - Aubrey M Adams
- From the Department of Neurology (D.C.B., R.B.L.), Albert Einstein College of Medicine, Bronx, NY; Montefiore Medical Center (D.C.B., R.B.L.), Bronx, NY; Vedanta Research (K.M.F.), Chapel Hill, NC; Complete Healthcare Communications (A.M.K., D.A.F.), Chadds Ford, PA; Allergan plc (A.M.A.), Irvine, CA. affiliated with the Department of Preventive Medicine and Biometrics (A.I.S.), Uniformed Services University of the Health Sciences, Bethesda, MD
| | - Richard B Lipton
- From the Department of Neurology (D.C.B., R.B.L.), Albert Einstein College of Medicine, Bronx, NY; Montefiore Medical Center (D.C.B., R.B.L.), Bronx, NY; Vedanta Research (K.M.F.), Chapel Hill, NC; Complete Healthcare Communications (A.M.K., D.A.F.), Chadds Ford, PA; Allergan plc (A.M.A.), Irvine, CA. affiliated with the Department of Preventive Medicine and Biometrics (A.I.S.), Uniformed Services University of the Health Sciences, Bethesda, MD.
| |
Collapse
|
13
|
Identification of clusters of individuals relevant to temporomandibular disorders and other chronic pain conditions: the OPPERA study. Pain 2017; 157:1266-1278. [PMID: 26928952 DOI: 10.1097/j.pain.0000000000000518] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The classification of most chronic pain disorders gives emphasis to anatomical location of the pain to distinguish one disorder from the other (eg, back pain vs temporomandibular disorder [TMD]) or to define subtypes (eg, TMD myalgia vs arthralgia). However, anatomical criteria overlook etiology, potentially hampering treatment decisions. This study identified clusters of individuals using a comprehensive array of biopsychosocial measures. Data were collected from a case-control study of 1031 chronic TMD cases and 3247 TMD-free controls. Three subgroups were identified using supervised cluster analysis (referred to as the adaptive, pain-sensitive, and global symptoms clusters). Compared with the adaptive cluster, participants in the pain-sensitive cluster showed heightened sensitivity to experimental pain, and participants in the global symptoms cluster showed both greater pain sensitivity and greater psychological distress. Cluster membership was strongly associated with chronic TMD: 91.5% of TMD cases belonged to the pain-sensitive and global symptoms clusters, whereas 41.2% of controls belonged to the adaptive cluster. Temporomandibular disorder cases in the pain-sensitive and global symptoms clusters also showed greater pain intensity, jaw functional limitation, and more comorbid pain conditions. Similar results were obtained when the same methodology was applied to a smaller case-control study consisting of 199 chronic TMD cases and 201 TMD-free controls. During a median 3-year follow-up period of TMD-free individuals, participants in the global symptoms cluster had greater risk of developing first-onset TMD (hazard ratio = 2.8) compared with participants in the other 2 clusters. Cross-cohort predictive modeling was used to demonstrate the reliability of the clusters.
Collapse
|
14
|
Suri P, Boyko EJ, Smith NL, Jarvik JG, Williams FMK, Jarvik GP, Goldberg J. Modifiable risk factors for chronic back pain: insights using the co-twin control design. Spine J 2017; 17:4-14. [PMID: 27794503 PMCID: PMC6126929 DOI: 10.1016/j.spinee.2016.07.533] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Accepted: 07/29/2016] [Indexed: 02/03/2023]
Abstract
BACKGROUND Inconsistent associations between modifiable risk factors and chronic back pain (CBP) may be due to the inability of traditional epidemiologic study designs to properly account for an array of potential genetic and environmental confounding factors. The co-twin control research design, comparing modifiable risk factors in twins discordant for CBP, offers a unique way to remove numerous confounding factors. PURPOSE The study aimed to examine the association of modifiable lifestyle and psychological factors with lifetime CBP. STUDY DESIGN/SETTING This is a cross-sectional co-twin control study in a nationwide sample of male twin members of the Vietnam Era Twin Registry. PATIENT SAMPLE The sample is composed of 7,108 participants, including 1,308 monozygotic (MZ) pairs and 793 dizygotic pairs. OUTCOME MEASURE The outcome measure is the self-reported lifetime history of CBP. METHODS Lifestyle factors included body mass index (BMI), smoking history, alcohol consumption, habitual physical activity, and typical sleep duration. Psychological factors included depression (Patient Health Questionnaire-9) and posttraumatic stress disorder (PTSD) symptoms (PTSD Checklist). Covariates included age, race, education, and income. Odds ratios (ORs) and 95% confidence intervals (CI) were estimated for the association of risk factors with lifetime CBP when considering twins as individuals, and a within-pair co-twin control analysis that accounted for familial and genetic factors. Funding was through VA Grant 5IK2RX001515; there were no study-specific conflicts of interest. RESULTS The mean age of respondents was 62 years and the prevalence of lifetime CBP was 28%. All lifestyle factors were associated with CBP in the individual level analysis. However, none of these persisted in the within-pair analyses, except for severe obesity (BMI ≥35.0), which was associated with lifetime CBP in both individual-level (OR=1.6, 95% CI: 1.3-1.9) and within-pair analyses (MZ analysis: OR=3.7, 95% CI: 1.2-11.4). Symptoms of PTSD and depression were strongly associated with lifetime CBP in both the individual-level (moderate or severe depression: OR=4.2, 95% CI: 3.6-4.9, and severe PTSD: OR=4.8, 95% CI: 4.0-5.7) and within-pair (MZ) analyses (moderate or severe depression: OR=4.6, 95% CI: 2.4-8.7, and severe PTSD: OR=3.2, 95% CI: 1.6-6.5). CONCLUSIONS Many associations between modifiable lifestyle risk factors and CBP are due to confounding by familial and genetic factors. Severe obesity, depression, and PTSD should be considered in the development of intervention strategies to reduce the prevalence of CBP.
Collapse
Affiliation(s)
- Pradeep Suri
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, S-152-ERIC, 1660 S. Columbian Way, Seattle, WA 98108, USA; Division of Rehabilitation Care Services, 1660 S. Columbian Way, Seattle, WA 98108, USA; Department of Rehabilitation Medicine, University of Washington, 325 Ninth Ave, Box 359612, Seattle, WA 98104, USA.
| | - Edward J Boyko
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, S-152-ERIC, 1660 S. Columbian Way, Seattle, WA 98108, USA; General Medicine Service, VA Puget Sound Health Care System, 1660 S. Columbian Way, Seattle, WA 98108, USA
| | - Nicholas L Smith
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, S-152-ERIC, 1660 S. Columbian Way, Seattle, WA 98108, USA; Department of Epidemiology, University of Washington, 1959 NE Pacific St Health Sciences Bldg, Box 357236, Seattle, WA 98195, USA
| | - Jeffrey G Jarvik
- Comparative Effectiveness, Cost and Outcomes Research Center, University of Washington, 4333 Brooklyn Ave NE, Box #359455, Seattle, WA 98195, USA; Department of Radiology, University of Washington, 325 9th Ave, Seattle, WA 98104, USA; Department of Neurological Surgery, University of Washington, 325 9th Ave, Seattle, WA 98104, USA; Department of Health Services, University of Washington, 325 9th Ave, Seattle, WA 98104, USA
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, Kings College London, Strand, London WC2R 2LS, UK
| | - Gail P Jarvik
- Department of Medicine (Medical Genetics), 3720 15th Ave NE, Seattle, WA 98105, USA; Department of Genome Sciences, University of Washington, 3720 15th Ave NE, Seattle, WA 98105, USA
| | - Jack Goldberg
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, S-152-ERIC, 1660 S. Columbian Way, Seattle, WA 98108, USA; Department of Epidemiology, University of Washington, 1959 NE Pacific St Health Sciences Bldg, Box 357236, Seattle, WA 98195, USA
| |
Collapse
|
15
|
Hill JC, Afolabi EK, Lewis M, Dunn KM, Roddy E, van der Windt DA, Foster NE. Does a modified STarT Back Tool predict outcome with a broader group of musculoskeletal patients than back pain? A secondary analysis of cohort data. BMJ Open 2016; 6:e012445. [PMID: 27742627 PMCID: PMC5073547 DOI: 10.1136/bmjopen-2016-012445] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVES The STarT Back Tool has good predictive performance for non-specific low back pain in primary care. We therefore aimed to investigate whether a modified STarT Back Tool predicted outcome with a broader group of musculoskeletal patients, and assessed the consequences of using existing risk-group cut-points across different pain regions. SETTING Secondary analysis of prospective data from 2 cohorts: (1) outpatient musculoskeletal physiotherapy services (PhysioDirect trial n=1887) and (2) musculoskeletal primary-secondary care interface services (SAMBA study n=1082). PARTICIPANTS Patients with back, neck, upper limb, lower limb or multisite pain with a completed modified STarT Back Tool (baseline) and 6-month physical health outcome (Short Form 36 (SF-36)). OUTCOMES Area under the receiving operator curve (AUCs) tested discriminative abilities of the tool's baseline score for identifying poor 6-month outcome (SF-36 lower tertile Physical Component Score). Risk-group cut-points were tested using sensitivity and specificity for identifying poor outcome using (1) Youden's J statistic and (2) a clinically determined rule that specificity should not fall below 0.7 (false-positive rate <30%). RESULTS In PhysioDirect and SAMBA, poor 6-month physical health was 18.5% and 28.2%, respectively. Modified STarT Back Tool score AUCs for predicting outcome in back pain were 0.72 and 0.79, neck 0.82 and 0.88, upper limb 0.79 and 0.86, lower limb 0.77 and 0.83, and multisite pain 0.83 and 0.82 in PhysioDirect and SAMBA, respectively. Differences between pain region AUCs were non-significant. Optimal cut-points to discriminate low-risk and medium-risk/high-risk groups depended on pain region and clinical services. CONCLUSIONS A modified STarT Back Tool similarly predicts 6-month physical health outcome across 5 musculoskeletal pain regions. However, the use of consistent risk-group cut-points was not possible and resulted in poor sensitivity (too many with long-term disability being missed) or specificity (too many with good outcome inaccurately classified as 'at risk') for some pain regions. The draft tool is now being refined and validated within a new programme of research for a broader musculoskeletal population. TRIAL REGISTRATION NUMBER ISRCTN55666618; Post results.
Collapse
Affiliation(s)
- J C Hill
- Institute of Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - E K Afolabi
- Institute of Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - M Lewis
- Institute of Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - K M Dunn
- Institute of Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - E Roddy
- Institute of Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - D A van der Windt
- Institute of Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - N E Foster
- Institute of Primary Care and Health Sciences, Keele University, Staffordshire, UK
| |
Collapse
|
16
|
Zemp R, Fliesser M, Wippert PM, Taylor WR, Lorenzetti S. Occupational sitting behaviour and its relationship with back pain - A pilot study. APPLIED ERGONOMICS 2016; 56:84-91. [PMID: 27184315 DOI: 10.1016/j.apergo.2016.03.007] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Revised: 01/07/2016] [Accepted: 03/18/2016] [Indexed: 06/05/2023]
Abstract
Nowadays, working in an office environment is ubiquitous. At the same time, progressively more people suffer from occupational musculoskeletal disorders. Therefore, the aim of this pilot study was to analyse the influence of back pain on sitting behaviour in the office environment. A textile pressure mat (64-sensor-matrix) placed on the seat pan was used to identify the adopted sitting positions of 20 office workers by means of random forest classification. Additionally, two standardised questionnaires (Korff, BPI) were used to assess short and long-term back pain in order to divide the subjects into two groups (with and without back pain). Independent t-test indicated that subjects who registered back pain within the last 24 h showed a clear trend towards a more static sitting behaviour. Therefore, the developed sensor system has successfully been introduced to characterise and compare sitting behaviour of subjects with and without back pain.
Collapse
Affiliation(s)
- Roland Zemp
- Institute for Biomechanics, ETH Zurich, Leopold-Ruzicka-Weg 4, 8093 Zurich, Switzerland.
| | - Michael Fliesser
- Cluster of Excellence in Cognitive Sciences, Department of Sociology of Physical Activity and Health, University of Potsdam, 14469 Potsdam, Germany
| | - Pia-Maria Wippert
- Cluster of Excellence in Cognitive Sciences, Department of Sociology of Physical Activity and Health, University of Potsdam, 14469 Potsdam, Germany
| | - William R Taylor
- Institute for Biomechanics, ETH Zurich, Leopold-Ruzicka-Weg 4, 8093 Zurich, Switzerland
| | - Silvio Lorenzetti
- Institute for Biomechanics, ETH Zurich, Leopold-Ruzicka-Weg 4, 8093 Zurich, Switzerland
| |
Collapse
|
17
|
Research design considerations for chronic pain prevention clinical trials: IMMPACT recommendations. Pain 2016; 156:1184-1197. [PMID: 25887465 DOI: 10.1097/j.pain.0000000000000191] [Citation(s) in RCA: 103] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Although certain risk factors can identify individuals who are most likely to develop chronic pain, few interventions to prevent chronic pain have been identified. To facilitate the identification of preventive interventions, an IMMPACT meeting was convened to discuss research design considerations for clinical trials investigating the prevention of chronic pain. We present general design considerations for prevention trials in populations that are at relatively high risk for developing chronic pain. Specific design considerations included subject identification, timing and duration of treatment, outcomes, timing of assessment, and adjusting for risk factors in the analyses. We provide a detailed examination of 4 models of chronic pain prevention (ie, chronic postsurgical pain, postherpetic neuralgia, chronic low back pain, and painful chemotherapy-induced peripheral neuropathy). The issues discussed can, in many instances, be extrapolated to other chronic pain conditions. These examples were selected because they are representative models of primary and secondary prevention, reflect persistent pain resulting from multiple insults (ie, surgery, viral infection, injury, and toxic or noxious element exposure), and are chronically painful conditions that are treated with a range of interventions. Improvements in the design of chronic pain prevention trials could improve assay sensitivity and thus accelerate the identification of efficacious interventions. Such interventions would have the potential to reduce the prevalence of chronic pain in the population. Additionally, standardization of outcomes in prevention clinical trials will facilitate meta-analyses and systematic reviews and improve detection of preventive strategies emerging from clinical trials.
Collapse
|
18
|
Starkweather AR, Lyon DE, Kinser P, Heineman A, Sturgill JL, Deng X, Siangphoe U, Elswick RK, Greenspan J, Dorsey SG. Comparison of Low Back Pain Recovery and Persistence: A Descriptive Study of Characteristics at Pain Onset. Biol Res Nurs 2016; 18:401-10. [PMID: 26883808 DOI: 10.1177/1099800416631819] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Persistent low back pain is a significant problem worldwide. Early identification and treatment of individuals at high risk for persistent low back pain have been suggested as strategies to decrease the rate of disability associated with this condition. PURPOSE To examine and compare demographic, pain-related, psychological, and somatosensory characteristics in a cohort of participants with acute low back pain who later went on to experience persistent low back pain or whose pain resolved within the first 6 weeks after initial onset. METHODS A descriptive study was conducted among men and women 18-50 years of age who had an acute episode of low back pain. Study questionnaires were administered to collect demographic information and measures of pain, coping, reactivity, mood, work history and satisfaction, and disability. A standardized protocol of quantitative sensory testing was performed on each participant at the painful area of their low back and at a remote site on their arm. RESULTS The sample consisted of 48 participants, of whom 19 went on to develop persistent low back pain and 29 resolved. Compared to the resolved group, the persistent low back pain group was significantly older and had a lower level of educational attainment, a higher body mass index, and higher mean "least" pain score on the Brief Pain Inventory-Short Form. Significantly higher thermal detection thresholds at the painful and remote sites as well as signs of central sensitivity differentiated the persistent pain group from the resolved group during the acute stage of low back pain.
Collapse
Affiliation(s)
| | - Debra E Lyon
- College of Nursing, University of Florida, Gainesville, FL, USA
| | | | - Amy Heineman
- Virginia Commonwealth University, Richmond, VA, USA
| | | | - Xiaoyan Deng
- Virginia Commonwealth University, Richmond, VA, USA
| | | | - R K Elswick
- Virginia Commonwealth University, Richmond, VA, USA
| | - Joel Greenspan
- School of Nursing, University of Maryland, Baltimore, MD, USA
| | - Susan G Dorsey
- School of Nursing, University of Maryland, Baltimore, MD, USA
| |
Collapse
|
19
|
Mehling WE, Avins AL, Acree MC, Carey TS, Hecht FM. Can a back pain screening tool help classify patients with acute pain into risk levels for chronic pain? Eur J Pain 2015; 19:439-46. [PMID: 25381748 DOI: 10.1002/ejp.615] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/23/2014] [Indexed: 11/11/2022]
Abstract
BACKGROUND The 9-item STarT-Back screening tool was developed in primary care patients with low back pain (LBP) to identify those at greatest risk for chronic pain and requiring targeted treatment. We conducted a secondary data analysis study to examine the performance of comparable questionnaire items in a sample of primary care patients with well-defined acute LBP. METHODS In a prospective cohort study, 605 primary care patients with LBP of less than 30 days answered a questionnaire with 6 items identical and 3 items analogous to the 9-item STarT-Back. Participants were followed up at 6 months and 2 years. STarT-Back rules were applied to classify participant's risk of chronic LBP, and the performance of the screening items in predicting outcomes was assessed using likelihood ratios. RESULTS The proportion of patients with chronic pain at follow-up was considerably lower (6 months: 22%; 2 years: 25%) than in the STarT-Back validation cohort (40%) of patients with pain of any duration. The probability of developing chronic pain given a high-risk designation by items similar to the STarT-Back increased the pre-test probability to 31% and 35%. Likelihood ratios were close to 1. CONCLUSIONS A risk classification schema using the recommended cut-off scores with items similar to the STarT-Back in a primary care population with strictly defined acute LBP had limited ability to identify persons who progressed to chronic pain. The results suggest caution when applying the STarT-Back in patients with acute LBP and a need to consider a modification of its cut-offs.
Collapse
Affiliation(s)
- W E Mehling
- Department of Family Medicine, University of California San Francisco, USA; Osher Center for Integrative Medicine, University of California San Francisco, USA
| | | | | | | | | |
Collapse
|
20
|
Deyo RA, Dworkin SF, Amtmann D, Andersson G, Borenstein D, Carragee E, Carrino J, Chou R, Cook K, DeLitto A, Goertz C, Khalsa P, Loeser J, Mackey S, Panagis J, Rainville J, Tosteson T, Turk D, Von Korff M, Weiner DK. Report of the NIH Task Force on Research Standards for Chronic Low Back Pain. Int J Ther Massage Bodywork 2015; 8:16-33. [PMID: 26388962 PMCID: PMC4560531 DOI: 10.3822/ijtmb.v8i3.295] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
UNLABELLED Despite rapidly increasing intervention, functional disability due to chronic low back pain (cLBP) has increased in recent decades. We often cannot identify mechanisms to explain the major negative impact cLBP has on patients' lives. Such cLBP is often termed non-specific, and may be due to multiple biologic and behavioral etiologies. Researchers use varied inclusion criteria, definitions, baseline assessments, and outcome measures, which impede comparisons and consensus. The NIH Pain Consortium therefore charged a Research Task Force (RTF) to draft standards for research on cLBP. The resulting multidisciplinary panel recommended using 2 questions to define cLBP; classifying cLBP by its impact (defined by pain intensity, pain interference, and physical function); use of a minimal data set to describe research participants (drawing heavily on the PROMIS methodology); reporting "responder analyses" in addition to mean outcome scores; and suggestions for future research and dissemination. The Pain Consortium has approved the recommendations, which investigators should incorporate into NIH grant proposals. The RTF believes these recommendations will advance the field, help to resolve controversies, and facilitate future research addressing the genomic, neurologic, and other mechanistic substrates of chronic low back pain. We expect the RTF recommendations will become a dynamic document, and undergo continual improvement. PERSPECTIVE A Task Force was convened by the NIH Pain Consortium, with the goal of developing research standards for chronic low back pain. The results included recommendations for definitions, a minimal dataset, reporting outcomes, and future research. Greater consistency in reporting should facilitate comparisons among studies and the development of phenotypes.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Roger Chou
- Oregon Health and Sciences University, Portland, OR
| | | | - Anthony DeLitto
- VA Pittsburgh Healthcare System and University of Pittsburgh, Pittsburgh, PA
| | | | - Partap Khalsa
- National Center for Complementary and Alternative Medicine, Bethesda, MD
| | | | | | - James Panagis
- National Institute for Arthritis, Musculoskeletal and Skin Diseases, Bethesda, MD
| | | | | | | | | | - Debra K. Weiner
- VA Pittsburgh Healthcare System and University of Pittsburgh, Pittsburgh, PA
| |
Collapse
|
21
|
Deyo RA, Dworkin SF, Amtmann D, Andersson G, Borenstein D, Carragee E, Carrino J, Chou R, Cook K, DeLitto A, Goertz C, Khalsa P, Loeser J, Mackey S, Panagis J, Rainville J, Tosteson T, Turk D, Von Korff M, Weiner DK. Report of the NIH Task Force on research standards for chronic low back pain. PAIN MEDICINE 2015; 15:1249-67. [PMID: 25132307 DOI: 10.1111/pme.12538] [Citation(s) in RCA: 83] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Despite rapidly increasing intervention, functional disability due to chronic low back pain (cLBP) has increased in recent decades. We often cannot identify mechanisms to explain the major negative impact cLBP has on patients' lives. Such cLBP is often termed non-specific, and may be due to multiple biologic and behavioral etiologies. Researchers use varied inclusion criteria, definitions, baseline assessments, and outcome measures, which impede comparisons and consensus. DESIGN Expert panel and preliminary evaluation of key recommendations. METHODS The NIH Pain Consortium charged a Research Task Force (RTF) to draft standards for research on cLBP. The resulting multidisciplinary panel developed a 3-stage process, each with a 2-day meeting. RESULTS The panel recommended using 2 questions to define cLBP; classifying cLBP by its impact (defined by pain intensity, pain interference, and physical function); use of a minimal data set to describe research subjects (drawing heavily on the PROMIS methodology); reporting "responder analyses" in addition to mean outcome scores; and suggestions for future research and dissemination. The Pain Consortium has approved the recommendations, which investigators should incorporate into NIH grant proposals. CONCLUSION The RTF believes these recommendations will advance the field, help to resolve controversies, and facilitate future research addressing the genomic, neurologic, and other mechanistic substrates of chronic low back pain. Greater consistency in reporting should facilitate comparisons among studies and the development of phenotypes. We expect the RTF recommendations will become a dynamic document, and undergo continual improvement. PERSPECTIVE A task force was convened by the NIH Pain Consortium with the goal of developing research standards for chronic low back pain. The results included recommendations for definitions, a minimum dataset, reporting outcomes, and future research. Greater consistency in reporting should facilitate comparisons among studies and the development of phenotypes.
Collapse
Affiliation(s)
- Richard A Deyo
- Oregon Health and Sciences University, Portland, Oregon, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
22
|
Deyo RA, Dworkin SF, Amtmann D, Andersson G, Borenstein D, Carragee E, Carrino J, Chou R, Cook K, Delitto A, Goertz C, Khalsa P, Loeser J, Mackey S, Panagis J, Rainville J, Tosteson T, Turk D, Von Korff M, Weiner DK. Report of the NIH Task Force on research standards for chronic low back pain. Phys Ther 2015; 95:e1-e18. [PMID: 25639530 PMCID: PMC5396149 DOI: 10.2522/ptj.2015.95.2.e1] [Citation(s) in RCA: 124] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
UNLABELLED Despite rapidly increasing intervention, functional disability due to chronic low back pain (cLBP) has increased in recent decades. We often cannot identify mechanisms to explain the major negative impact cLBP has on patients' lives. Such cLBP is often termed non-specific and may be due to multiple biologic and behavioral etiologies. Researchers use varied inclusion criteria, definitions, baseline assessments, and outcome measures, which impede comparisons and consensus. Therefore, NIH Pain Consortium charged a Research Task Force (RTF) to draft standards for research on cLBP. The resulting multidisciplinary panel recommended using 2 questions to define cLBP; classifying cLBP by its impact (defined by pain intensity, pain interference, and physical function); use of a minimum dataset to describe research participants (drawing heavily on the PROMIS methodology); reporting "responder analyses" in addition to mean outcome scores; and suggestions for future research and dissemination. The Pain Consortium has approved the recommendations, which investigators should incorporate into NIH grant proposals. The RTF believes that these recommendations will advance the field, help to resolve controversies, and facilitate future research addressing the genomic, neurologic, and other mechanistic substrates of chronic low back pain. We expect that the RTF recommendations will become a dynamic document and undergo continual improvement. PERSPECTIVE A task force was convened by the NIH Pain Consortium with the goal of developing research standards for chronic low back pain. The results included recommendations for definitions, a minimum dataset, reporting outcomes, and future research. Greater consistency in reporting should facilitate comparisons among studies and the development of phenotypes.
Collapse
Affiliation(s)
- Richard A Deyo
- R.A. Deyo, MD, MPH, Oregon Health and Sciences University, 3181 SW Sam Jackson Park Rd, Mail Code FM, Portland, Oregon.
| | | | | | | | | | | | - John Carrino
- J. Carrino, Johns Hopkins University, Baltimore, Maryland
| | - Roger Chou
- R. Chou, Oregon Health and Sciences University
| | - Karon Cook
- K. Cook, Northwestern University, Evanston, Illinois
| | - Anthony Delitto
- A. Delitto, VA Pittsburgh Healthcare System and University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Partap Khalsa
- P. Khalsa, National Center for Complementary and Alternative Medicine, Bethesda, Maryland
| | | | | | - James Panagis
- J. Panagis, National Institute for Arthritis, Musculoskeletal and Skin Diseases, Bethesda, Maryland
| | - James Rainville
- J. Rainville, New England Baptist Hospital, Roxbury Crossing, Massachusetts
| | - Tor Tosteson
- T. Tosteson, Dartmouth University, Hanover, New Hampshire
| | | | | | - Debra K Weiner
- D.K. Weiner, VA Pittsburgh Healthcare System and University of Pittsburgh
| |
Collapse
|
23
|
Focus article: report of the NIH Task Force on Research Standards for Chronic Low Back Pain. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2014; 23:2028-45. [PMID: 25212440 DOI: 10.1007/s00586-014-3540-3] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
UNLABELLED Despite rapidly increasing intervention, functional disability due to chronic low back pain (cLBP) has increased in recent decades. We often cannot identify mechanisms to explain the major negative impact cLBP has on patients' lives. Such cLBP is often termed non-specific and may be due to multiple biologic and behavioral etiologies. Researchers use varied inclusion criteria, definitions, baseline assessments, and outcome measures, which impede comparisons and consensus. Therefore, NIH Pain Consortium charged a Research Task Force (RTF) to draft standards for research on cLBP. The resulting multidisciplinary panel recommended using 2 questions to define cLBP; classifying cLBP by its impact (defined by pain intensity, pain interference, and physical function); use of a minimum dataset to describe research participants (drawing heavily on the PROMIS methodology); reporting "responder analyses" in addition to mean outcome scores; and suggestions for future research and dissemination. The Pain Consortium has approved the recommendations, which investigators should incorporate into NIH grant proposals. The RTF believes that these recommendations will advance the field, help to resolve controversies, and facilitate future research addressing the genomic, neurologic, and other mechanistic substrates of chronic low back pain. We expect that the RTF recommendations will become a dynamic document and undergo continual improvement. PERSPECTIVE A task force was convened by the NIH Pain Consortium with the goal of developing research standards for chronic low back pain. The results included recommendations for definitions, a minimum dataset, reporting outcomes, and future research. Greater consistency in reporting should facilitate comparisons among studies and the development of phenotypes.
Collapse
|
24
|
Deyo RA, Dworkin SF, Amtmann D, Andersson G, Borenstein D, Carragee E, Carrino J, Chou R, Cook K, DeLitto A, Goertz C, Khalsa P, Loeser J, Mackey S, Panagis J, Rainville J, Tosteson T, Turk D, Von Korff M, Weiner DK. Report of the National Institutes of Health task force on research standards for chronic low back pain. J Manipulative Physiol Ther 2014; 37:449-67. [PMID: 25127996 DOI: 10.1016/j.jmpt.2014.07.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Accepted: 07/08/2014] [Indexed: 01/28/2023]
Abstract
OBJECTIVES Despite rapidly increasing intervention, functional disability due to chronic low back pain (cLBP) has increased in recent decades. We often cannot identify mechanisms to explain the major negative impact cLBP has on patients' lives. Such cLBP is often termed nonspecific and may be due to multiple biologic and behavioral etiologies. Researchers use varied inclusion criteria, definitions, baseline assessments, and outcome measures, which impede comparisons and consensus. The purpose of this article is to disseminate the report of the National Institutes of Health (NIH) task force on research standards for cLBP. METHODS The NIH Pain Consortium charged a research task force (RTF) to draft standards for research on cLBP. The resulting multidisciplinary panel developed a 3-stage process, each with a 2-day meeting. RESULTS The panel recommended using 2 questions to define cLBP; classifying cLBP by its impact (defined by pain intensity, pain interference, and physical function); use of a minimal data set to describe research subjects (drawing heavily on the Patient Reported Outcomes Measurement Information System methodology); reporting "responder analyses" in addition to mean outcome scores; and suggestions for future research and dissemination. The Pain Consortium has approved these recommendations, which investigators should incorporate into NIH grant proposals. CONCLUSIONS The RTF believes that these recommendations will advance the field, help to resolve controversies, and facilitate future research addressing the genomic, neurologic, and other mechanistic substrates of cLBP. Greater consistency in reporting should facilitate comparisons among studies and the development of phenotypes. We expect the RTF recommendations will become a dynamic document and undergo continual improvement.
Collapse
Affiliation(s)
- Richard A Deyo
- Professor, Department of Family Medicine, Oregon Health & Science University, Portland, OR; Professor, Department of Medicine, Oregon Health & Science University, Portland, OR; Professor, Department of Public Health & Community Medicine, Oregon Health & Science University, Portland, OR.
| | - Samuel F Dworkin
- Professor, Department of Oral Medicine, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Dagmar Amtmann
- Research Associate Professor, Department of Rehabilitation Medicine, University of Washington, Seattle, WA
| | - Gunnar Andersson
- Professor, Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL
| | - David Borenstein
- Clinical Professor, Department of Medicine, George Washington University Medical Center, Washington, DC
| | - Eugene Carragee
- Professor, Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, CA
| | - John Carrino
- Associate Professor, Department of Radiology, Johns Hopkins University, Baltimore, MD
| | - Roger Chou
- Professor, Department of Medicine, Oregon Health and Science University, Portland, OR; Professor, Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR
| | - Karon Cook
- Research Associate Professor, Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Anthony DeLitto
- Professor, Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA
| | - Christine Goertz
- Vice Chancellor of Research & Health Policy, Palmer Center for Chiropractic Research, Palmer College of Chiropractic, Davenport, IA
| | - Partap Khalsa
- Deputy Director, National Institutes of Health, Division of Extramural Research, National Center for Complementary and Alternative Medicine, Bethesda, MD
| | - John Loeser
- Professor Emeritus, Department of Neurological Surgery, University of Washington, Seattle, WA; Professor Emeritus, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA
| | - Sean Mackey
- Professor, Department of Anesthesia and Pain Management, Stanford University, Stanford, CA
| | - James Panagis
- Program Director, National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Orthopaedics Research Program, Bethesda, MD
| | - James Rainville
- Chief, Department of Physical Medicine and Rehabilitation, New England Baptist Hospital, Roxbury Crossing, MA
| | - Tor Tosteson
- Professor, Department of Community and Family Medicine and The Dartmouth Institute, Geisel School of Medicine at Dartmouth, Hanover, NH
| | - Dennis Turk
- Professor Emeritus, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA
| | | | - Debra K Weiner
- Professor, Department of Medicine, University of Pittsburgh, Pittsburgh, PA; Professor, Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA; Professor, Department of Anesthesiology; University of Pittsburgh, Pittsburgh, PA. Geriatric Research, Educational and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA
| | | |
Collapse
|
25
|
Abstract
UNLABELLED Despite rapidly increasing intervention, functional disability due to chronic low back pain (cLBP) has increased in recent decades. We often cannot identify mechanisms to explain the major negative impact cLBP has on patients' lives. Such cLBP is often termed non-specific and may be due to multiple biologic and behavioral etiologies. Researchers use varied inclusion criteria, definitions, baseline assessments, and outcome measures, which impede comparisons and consensus. Therefore, NIH Pain Consortium charged a Research Task Force (RTF) to draft standards for research on cLBP. The resulting multidisciplinary panel recommended using 2 questions to define cLBP; classifying cLBP by its impact (defined by pain intensity, pain interference, and physical function); use of a minimum dataset to describe research participants (drawing heavily on the PROMIS methodology); reporting "responder analyses" in addition to mean outcome scores; and suggestions for future research and dissemination. The Pain Consortium has approved the recommendations, which investigators should incorporate into NIH grant proposals. The RTF believes that these recommendations will advance the field, help to resolve controversies, and facilitate future research addressing the genomic, neurologic, and other mechanistic substrates of chronic low back pain. We expect that the RTF recommendations will become a dynamic document and undergo continual improvement. PERSPECTIVE A task force was convened by the NIH Pain Consortium with the goal of developing research standards for chronic low back pain. The results included recommendations for definitions, a minimum dataset, reporting outcomes, and future research. Greater consistency in reporting should facilitate comparisons among studies and the development of phenotypes.
Collapse
|
26
|
Abstract
UNLABELLED Despite rapidly increasing intervention, functional disability due to chronic low back pain (cLBP) has increased in recent decades. We often cannot identify mechanisms to explain the major negative impact cLBP has on patients' lives. Such cLBP is often termed nonspecific and may be due to multiple biologic and behavioral etiologies. Researchers use varied inclusion criteria, definitions, baseline assessments, and outcome measures, which impede comparisons and consensus. Therefore, NIH Pain Consortium charged a research task force to draft standards for research on cLBP. The resulting multidisciplinary panel recommended using 2 questions to define cLBP; classifying cLBP by its impact (defined by pain intensity, pain interference, and physical function); use of a minimum data set to describe research participants (drawing heavily on the Patient Reported Outcomes Measurement Information System methodology); reporting "responder analyses" in addition to mean outcome scores; and suggestions for future research and dissemination. The Pain Consortium has approved the recommendations, which investigators should incorporate into NIH grant proposals. The research task force believes that these recommendations will advance the field, help resolve controversies, and facilitate future research addressing the genomic, neurological, and other mechanistic substrates of cLBP. We expect that the research task force recommendations will become a dynamic document and undergo continual improvement. PERSPECTIVE A task force was convened by the NIH Pain Consortium with the goal of developing research standards for cLBP. The results included recommendations for definitions, a minimum data set, reporting outcomes, and future research. Greater consistency in reporting should facilitate comparisons among studies and the development of phenotypes.
Collapse
|
27
|
Deyo RA, Dworkin SF, Amtmann D, Andersson G, Borenstein D, Carragee E, Carrino J, Chou R, Cook K, DeLitto A, Goertz C, Khalsa P, Loeser J, Mackey S, Panagis J, Rainville J, Tosteson T, Turk D, Von Korff M, Weiner DK. Report of the NIH Task Force on research standards for chronic low back pain. THE JOURNAL OF PAIN 2014; 15:569-85. [PMID: 24787228 PMCID: PMC4128347 DOI: 10.1016/j.jpain.2014.03.005] [Citation(s) in RCA: 291] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2013] [Revised: 02/24/2014] [Accepted: 03/12/2014] [Indexed: 12/18/2022]
Abstract
UNLABELLED Despite rapidly increasing intervention, functional disability due to chronic low back pain (cLBP) has increased in recent decades. We often cannot identify mechanisms to explain the major negative impact cLBP has on patients' lives. Such cLBP is often termed non-specific and may be due to multiple biologic and behavioral etiologies. Researchers use varied inclusion criteria, definitions, baseline assessments, and outcome measures, which impede comparisons and consensus. Therefore, NIH Pain Consortium charged a Research Task Force (RTF) to draft standards for research on cLBP. The resulting multidisciplinary panel recommended using 2 questions to define cLBP; classifying cLBP by its impact (defined by pain intensity, pain interference, and physical function); use of a minimum dataset to describe research participants (drawing heavily on the PROMIS methodology); reporting "responder analyses" in addition to mean outcome scores; and suggestions for future research and dissemination. The Pain Consortium has approved the recommendations, which investigators should incorporate into NIH grant proposals. The RTF believes that these recommendations will advance the field, help to resolve controversies, and facilitate future research addressing the genomic, neurologic, and other mechanistic substrates of chronic low back pain. We expect that the RTF recommendations will become a dynamic document and undergo continual improvement. PERSPECTIVE A task force was convened by the NIH Pain Consortium with the goal of developing research standards for chronic low back pain. The results included recommendations for definitions, a minimum dataset, reporting outcomes, and future research. Greater consistency in reporting should facilitate comparisons among studies and the development of phenotypes.
Collapse
Affiliation(s)
- Richard A Deyo
- Oregon Health and Sciences University, Portland, Oregon.
| | | | | | | | | | | | | | - Roger Chou
- Oregon Health and Sciences University, Portland, Oregon
| | - Karon Cook
- Northwestern University, Evanston, Illinois
| | - Anthony DeLitto
- VA Pittsburgh Healthcare System and University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Partap Khalsa
- National Center for Complementary and Alternative Medicine, Bethesda, Maryland
| | - John Loeser
- University of Washington, Seattle, Washington
| | | | - James Panagis
- National Institute for Arthritis, Musculoskeletal and Skin Diseases, Bethesda, Maryland
| | - James Rainville
- New England Baptist Hospital, Roxbury Crossing, Massachusetts
| | | | - Dennis Turk
- University of Washington, Seattle, Washington
| | | | - Debra K Weiner
- VA Pittsburgh Healthcare System and University of Pittsburgh, Pittsburgh, Pennsylvania
| |
Collapse
|