Stratification of spine patients based on self-reported clinical symptom classes: Evaluation of long-term outcomes and subsequent interventions

Background: 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 tre...

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Main Authors: Brittany Lapin, PhD, MPH, Sara Davin, PsyD, MPH, Mary Stilphen, PT, DPT, Joshua K. Johnson, PhD, DPT, Edward Benzel, MD, Ghaith Habboub, MD, Irene L. Katzan, MD, MS
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:North American Spine Society Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666548423000070
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author Brittany Lapin, PhD, MPH
Sara Davin, PsyD, MPH
Mary Stilphen, PT, DPT
Joshua K. Johnson, PhD, DPT
Edward Benzel, MD
Ghaith Habboub, MD
Irene L. Katzan, MD, MS
author_facet Brittany Lapin, PhD, MPH
Sara Davin, PsyD, MPH
Mary Stilphen, PT, DPT
Joshua K. Johnson, PhD, DPT
Edward Benzel, MD
Ghaith Habboub, MD
Irene L. Katzan, MD, MS
author_sort Brittany Lapin, PhD, MPH
collection DOAJ
description Background: 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: 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: 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 (n = 986, 30.5%), mixed (n = 798, 24.7%) with poor scores on physical function and pain interference but better scores on other domains, and significant symptoms (n = 1,452, 44.9%). The classes were significantly associated with long-term outcomes, with patients with significant symptoms improving the most across all domains. Utilization differed across classes, with the mixed symptom class receiving more PT and injections and significant symptom class receiving more surgeries and specialist visits. Conclusions: 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.
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spelling doaj.art-17e90e8f468841e9973c5bb84c84f99c2023-06-24T05:19:17ZengElsevierNorth American Spine Society Journal2666-54842023-06-0114100205Stratification of spine patients based on self-reported clinical symptom classes: Evaluation of long-term outcomes and subsequent interventionsBrittany Lapin, PhD, MPH0Sara Davin, PsyD, MPH1Mary Stilphen, PT, DPT2Joshua K. Johnson, PhD, DPT3Edward Benzel, MD4Ghaith Habboub, MD5Irene L. Katzan, MD, MS6Center for Outcomes Research and Evaluation, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United States; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United States; Corresponding author. Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Ave, JJ3-603, Cleveland, OH 44195, USA. Tel.: (216)-308-5259; fax: (216)-636-1040.Center for Spine Health, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United StatesDepartment of Rehabilitation and Sports Therapy, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United StatesDepartment of Rehabilitation and Sports Therapy, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United States; Department of Physical Medicine and Rehabilitation, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United States; Center for Value-Based Care Research, Community Care, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United StatesCenter for Spine Health, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United StatesCenter for Spine Health, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United StatesCenter for Outcomes Research and Evaluation, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United StatesBackground: 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: 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: 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 (n = 986, 30.5%), mixed (n = 798, 24.7%) with poor scores on physical function and pain interference but better scores on other domains, and significant symptoms (n = 1,452, 44.9%). The classes were significantly associated with long-term outcomes, with patients with significant symptoms improving the most across all domains. Utilization differed across classes, with the mixed symptom class receiving more PT and injections and significant symptom class receiving more surgeries and specialist visits. Conclusions: 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.http://www.sciencedirect.com/science/article/pii/S2666548423000070Low back painStratificationClassificationLatent class analysisPROMISSymptom clusters
spellingShingle Brittany Lapin, PhD, MPH
Sara Davin, PsyD, MPH
Mary Stilphen, PT, DPT
Joshua K. Johnson, PhD, DPT
Edward Benzel, MD
Ghaith Habboub, MD
Irene L. Katzan, MD, MS
Stratification of spine patients based on self-reported clinical symptom classes: Evaluation of long-term outcomes and subsequent interventions
North American Spine Society Journal
Low back pain
Stratification
Classification
Latent class analysis
PROMIS
Symptom clusters
title Stratification of spine patients based on self-reported clinical symptom classes: Evaluation of long-term outcomes and subsequent interventions
title_full Stratification of spine patients based on self-reported clinical symptom classes: Evaluation of long-term outcomes and subsequent interventions
title_fullStr Stratification of spine patients based on self-reported clinical symptom classes: Evaluation of long-term outcomes and subsequent interventions
title_full_unstemmed Stratification of spine patients based on self-reported clinical symptom classes: Evaluation of long-term outcomes and subsequent interventions
title_short Stratification of spine patients based on self-reported clinical symptom classes: Evaluation of long-term outcomes and subsequent interventions
title_sort stratification of spine patients based on self reported clinical symptom classes evaluation of long term outcomes and subsequent interventions
topic Low back pain
Stratification
Classification
Latent class analysis
PROMIS
Symptom clusters
url http://www.sciencedirect.com/science/article/pii/S2666548423000070
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