Stratification of spine patients based on self-reported clinical symptom classes: Evaluation of long-term outcomes and subsequent interventions.
Classification
Healthcare utilization
Latent class analysis
Low back pain
PROMIS
Stratification
Symptom clusters
Treatments
Journal
North American Spine Society journal
ISSN: 2666-5484
Titre abrégé: N Am Spine Soc J
Pays: United States
ID NLM: 9918335076906676
Informations de publication
Date de publication:
Jun 2023
Jun 2023
Historique:
received:
09
12
2022
revised:
14
02
2023
accepted:
14
02
2023
entrez:
27
3
2023
pubmed:
28
3
2023
medline:
28
3
2023
Statut:
epublish
Résumé
Prior work by our group developed a stratification tool based on four PROMIS domains for patients with low back pain (LBP). Our study aimed to evaluate the ability of our previously developed symptom classes to predict long-term outcomes, and determine whether there were differential treatment effects by intervention. This was a retrospective cohort study of adult patients with LBP seen in spine clinics in a large health system between November 14, 2018 and May 14, 2019 who completed patient-reported outcomes as part of routine care at baseline and again at 12-months follow-up. Latent class analysis identified symptom classes based on PROMIS domain scores (physical function, pain interference, social role satisfaction, and fatigue) that were ≥1 standard deviation worse (meaningfully worse) than the general population. The ability of the profiles to predict long-term outcomes at 12-months was evaluated through multivariable models. Differences in outcomes by subsequent treatments (physical therapy, specialist visits, injections, and surgery) were investigated. There were 3,236 adult patients (average age 61.1 ± 14.2, 55.4% female) included in the study with three distinct classes identified: mild symptoms ( Patients with LBP have distinct clinical symptom classes which could be utilized to stratify patients into groups based on risk of future disability. These symptom classes can also be used to provide estimates of the effectiveness of different interventions, further increasing the clinical utility of these classes in standard care.
Sections du résumé
Background
UNASSIGNED
Prior work by our group developed a stratification tool based on four PROMIS domains for patients with low back pain (LBP). Our study aimed to evaluate the ability of our previously developed symptom classes to predict long-term outcomes, and determine whether there were differential treatment effects by intervention.
Methods
UNASSIGNED
This was a retrospective cohort study of adult patients with LBP seen in spine clinics in a large health system between November 14, 2018 and May 14, 2019 who completed patient-reported outcomes as part of routine care at baseline and again at 12-months follow-up. Latent class analysis identified symptom classes based on PROMIS domain scores (physical function, pain interference, social role satisfaction, and fatigue) that were ≥1 standard deviation worse (meaningfully worse) than the general population. The ability of the profiles to predict long-term outcomes at 12-months was evaluated through multivariable models. Differences in outcomes by subsequent treatments (physical therapy, specialist visits, injections, and surgery) were investigated.
Results
UNASSIGNED
There were 3,236 adult patients (average age 61.1 ± 14.2, 55.4% female) included in the study with three distinct classes identified: mild symptoms (
Conclusions
UNASSIGNED
Patients with LBP have distinct clinical symptom classes which could be utilized to stratify patients into groups based on risk of future disability. These symptom classes can also be used to provide estimates of the effectiveness of different interventions, further increasing the clinical utility of these classes in standard care.
Identifiants
pubmed: 36970061
doi: 10.1016/j.xnsj.2023.100205
pii: S2666-5484(23)00007-0
pmc: PMC10031537
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100205Informations de copyright
© 2023 The Author(s).
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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