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Background: Lumbar spinal stenosis (LSS) is one of the important health problems in an aging society because it can significantly impair quality of life (QOL) and active daily living (ADL). However, the natural history or long-term change of LSS symptoms is still unclear. The purpose of this study was to clarify the 10-year course of lumbar spinal stenosis (LSS) symptoms in community-dwelling residents of more than 1000 people with prospective data collection. Methods: A total of 1149 subjects were analyzed for the time course of LSS symptoms for ten years. LSS symptoms were assessed using a questionnaire specially designed and validated to detect LSS symptoms without image information such as magnetic resonance imaging. Results: The prevalence of positive LSS symptoms was about 16% in the initial survey and 10-year follow-up. Of the subjects who were LSS positive at the initial survey, 40% showed positive LSS symptoms at follow-up and 60% switched to negative LSS symptoms. According to the multivariable logistic regression analysis, severe depression and positive LSS symptoms were extracted as predictors of the presence of LSS symptoms after a 10-year follow-up. Conclusion: The statistical predictor of the presence of LSS symptoms at 10 years was the presence of LSS symptoms at the initial survey; however, 60% of those who were positive for LSS symptoms at the initial survey were not determined to have LSS symptoms at the 10-year follow-up. This was the same result as at the 1-year and 6-year follow-up.

Background Substantial investment has gone into research on the efficacy and effectiveness of pharmaceutical and nonpharmacologic interventions for chronic pain. However, synthesizing this extensive literature is challenging because of differences in the outcome measures used in studies of similar or competing interventions. The absence of a common metric makes it difficult to replicate findings, pool data from multiple studies, resolve conflicting conclusions, or reach consensus when interpreting findings. Methods This study has a seven-member Advisory Council of chronic pain experts. Preliminary analyses will be performed on data from several large existing datasets; intermediate analyses will be performed using primary data collected from Amazon’s Mechanical Turk (MTurk); and cross-validation will use primary data collected from a nationally-representative, probability-based panel. Target sample size for both primary datasets is 1500. The three study aims are as follows: Aim 1 will develop and evaluate links between the 29-item Patient-Reported Outcomes Measurement Information System (PROMIS®-29) and legacy measures used for chronic pain such as the Roland-Morris Disability Questionnaire (RMDQ) and the Oswestry Disability Index (ODI). We will assess the best method of score linking and create crosswalk tables. Aim 2 will evaluate and refine the Impact Stratification Score (ISS) based on 9 PROMIS-29 items and proposed by the NIH Research Task Force on chronic low back pain. We will evaluate the ISS in terms of other indicators of condition severity and patient prognosis and outcomes and identify cut-points to stratify chronic pain patients into subgroups. Aim 3 will evaluate the strengths and limitations of MTurk as a data collection platform for estimating chronic pain by comparing its data to other data sources. Discussion The accomplishment of Aims 1 and 2 will allow direct comparison of results across past and future studies of chronic pain. These comparisons will help us to understand different results from seemingly similar studies, and to determine the relative effectiveness of all pharmaceutical and nonpharmacologic interventions for chronic pain across different trials. Aim 3 findings will provide valuable information to researchers about the pros and cons of using the MTurk platform for research-based data collection. Trial registration ClinicalTrials.gov: NCT04426812; June 10, 2020.

Context and Aim: The assessment of severity of low back pain includes subjective questionnaires to quantify the impact on routine life. The objective of current study was to correlate various quality of life (QOL) scores to the clinical outcome measured as improvement in Visual Analog Score (VAS) after interventional treatment. Subjects and Methods: Fifty-one consecutive chronic low backache patients were assessed for pain intensity using VAS, revised Oswestry Disability Index (ODI), Quebec's, Roland–Morris disability questionnaire (RMDQ), and depression score at presentation. All subjects received interventional therapy complemented with physiotherapy; changes in scores were evaluated at 2 weekly intervals till 12 weeks. Type of Study: Prospective, observational, cohort study. Results: All scores depicted highly significant statistical improvement over baseline scores (P < 0.001). The Pearson correlation of VAS with rest of the scores showed that all variables correlate well with VAS at various time periods till 3 months. However, the best outcome predictor for VAS in QOL scores was Oswestry score as well as depression score which had an additive predictive effect. Among the QOL scores best intercorrelation was found with ODI and RMDQ scores at baseline as well as at all treatment follow-ups. Interpretation and Conclusion: ODI and depression score closely parallel trends of reduction in VAS indicating that these scores may be the best outcome predictor after interventional treatment of pain. Among QOL scores ODI and RMDQ evaluated in the current study record comparable degree of physical incapacity; the exception is Quebec's score.