ArticlePain medicine (Malden, Mass.)2026
Phenotypes of patients with symptomatic lumbar spinal stenosis presenting for nonoperative care: baseline data from the Lumbar Stenosis Prognostic Subgroups for Personalizing Care and Treatment Study (PROSPECTS).
Article in Pain medicine (Malden, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Identifying classes with different disability profiles amongst patients with persistent neck pain.Journal of rehabilitation medicine · 2026Article
- Comparing low and high recovery expectations among those with lumbar spinal stenosis: a network analysis.Pain medicine (Malden, Mass.) · 2026Article
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14 authors.
Funding
Abstract
objectiveThis study describes the enrollment and baseline characteristics of participants in the Lumbar Stenosis Prognostic Subgroups for Personalizing Care and Treatment Study (PROSPECTS) cohort and explores subgroups of patients presenting for nonoperative care.
designCross-sectional study. SETTING AND SUBJECTS: We enrolled adults ≥50 years of age initiating nonoperative care for symptomatic lumbar spinal stenosis. We excluded those with serious spinal pathology, conditions limiting ambulation, and prior or planned lumbar surgery.
methodsWe collected demographics, the Patient-Reported Outcomes Measurement Information System (PROMIS) 29, pain intensity, Oswestry Disability Index, Swiss Spinal Stenosis Questionnaire, chronicity of symptoms, pain sites, comorbidities, falls, and opioid use. We used descriptive statistics to characterize the sample and latent class analysis to derive subgroups with distinct phenotypes. The best model was selected on the basis of model fit statistics, class separation, and clinical interpretability.
resultsWe enrolled 598 participants. The mean age was 67 (SD = 9), and 61% were female. Back and leg pain had been present for ≥1 year in 65% of participants. Multiple pain sites were common, with a mean of 4.3 sites (SD = 2.2), and a majority of patients had multiple comorbidities (54%). We selected a 4-class solution as the best model from the latent class analysis. These phenotypes were described as (1) "high pain impact, low psychosocial features" (n = 233; 39%), (2) "mild pain impact, low psychosocial features" (n = 218; 36%), (3) "high pain impact, complex health needs" (n = 95; 16%), and (4) "acute, intermittent, moderate-severe leg pain with high pain impact" (n = 52; 9%).
conclusionsThese phenotypes reflect distinct profiles that could inform health needs and patient-centered care. Future studies should examine longitudinal outcomes to establish their clinical utility and prognostic value.
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