Sean D Rundell1,2, Karen J Sherman3, Patrick J Heagerty4, Charles N Mock5, Nathan J Dettori6, Bryan A Comstock4, Andrew L Avins7, Srdjan S Nedeljkovic8, David R Nerenz9, Jeffrey G Jarvik2,10. 1. Department of Rehabilitation Medicine. 2. Comparative Effectiveness, Cost, and Outcomes Research Center. 3. Group Health Research Institute, Seattle, Washington. 4. Center for Biomedical Statistics. 5. Department of Epidemiology, University of Washington and Harborview Injury Prevention Research Center, Seattle, Washington. 6. Department of Health Services. 7. Division of Research, Kaiser Permanente Northern California, Oakland, CA. 8. Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, and Spine Unit, Harvard Vanguard Medical Associates, Boston, MA. 9. Henry Ford Hospital, Neuroscience Institute, Detroit, MI, USA. 10. Department of Radiology, Neurological Surgery, Orthopedic Surgery and Sports Medicine, Health Services and Pharmacy, University of Washington, Seattle, Washington.
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.
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.
Authors: Wendelien H van der Gaag; Alessandro Chiarotto; Martijn W Heymans; Wendy T M Enthoven; Jantine van Rijckevorsel-Scheele; Sita M A Bierma-Zeinstra; Arthur M Bohnen; Bart W Koes Journal: Pain Date: 2021-06-01 Impact factor: 6.961
Authors: Laura S Gold; Matthew Bryan; Bryan A Comstock; Brian W Bresnahan; Richard A Deyo; Srdjan S Nedeljkovic; David R Nerenz; Patrick Heagerty; Jeffrey G Jarvik Journal: Gerontol Geriatr Med Date: 2017-01-16
Authors: Raffael Peteler; Paul Schmitz; Martin Loher; Petra Jansen; Joachim Grifka; Achim Benditz Journal: J Pain Res Date: 2021-03-16 Impact factor: 3.133