Kiersten M McCartney, Ryan T Pohlig, Allison E Miller, Elizabeth D Thompson, Darcy S Reisman
{"title":"Matching Clinical Profiles with Interventions to Optimize Daily Stepping in People with Stroke.","authors":"Kiersten M McCartney, Ryan T Pohlig, Allison E Miller, Elizabeth D Thompson, Darcy S Reisman","doi":"10.1093/ptj/pzaf070","DOIUrl":null,"url":null,"abstract":"<p><strong>Importance: </strong>Individualizing interventions is imperative to optimize step-activity in people with chronic stroke.</p><p><strong>Objective: </strong>The objective was to group individuals with chronic stroke into clinical profiles based on baseline characteristics and examine if these profiles preferentially benefitted from a specific intervention to improve daily step-activity.</p><p><strong>Design: </strong>This is a secondary analysis of a randomized control trial.</p><p><strong>Setting: </strong>The parent study occurred at 4 outpatient rehabilitation clinics.</p><p><strong>Participants: </strong>Participants had strokes ≥6 months prior to enrollment, were 21 to 85 years old, had walking speeds of 0.3 to1.0 m/s, and took <8000 steps-per-day.</p><p><strong>Interventions: </strong>Participants were randomized to high-intensity treadmill training (FAST), a step-activity behavioral intervention (SAM), or a combined intervention (FAST+SAM).</p><p><strong>Main outcome(s): </strong>The primary outcome was the interaction of latent class (clinical profile) and intervention group (FAST, SAM, FAST+SAM) on a change in steps-per-day. Key clinical characteristics to identify the latent classes included walking speed, walking endurance, balance self-efficacy, cognition, and area deprivation.</p><p><strong>Results: </strong>Of the 190 participants with complete pre- and post-intervention data (mean [SD] age, 64 [12] years; 93 females [48.9%]), 3 distinct profiles of people with chronic stroke were identified. Class 1 had the lowest walking capacity (speed and endurance), lowest balance self-efficacy, and highest area deprivation, and the greatest change in step-activity when enrolled in SAM (mean = 1624, 95% CI = 426 to 2821) or FAST+SAM (mean = 1150, 95% CI = 723 to 1577]). Class 2 had walking capacity, baseline steps-per-day, and self-efficacy values between Class 1 and 3, and had the greatest change in step-activity when enrolled in SAM (mean = 2002, 95% CI = 1193 to 2811). Class 3 had the highest walking capacity, highest self-efficacy, and lowest area deprivation and the greatest change in step-activity when enrolled in FAST+SAM (mean = 1532, 95% CI = 915 to 2150).</p><p><strong>Conclusions: </strong>People with chronic stroke require different interventions to optimize changes in step-activity.</p><p><strong>Relevance: </strong>Clinicians can use clinically relevant measures to personalize intervention selection to augment step-activity in people with chronic stroke.</p>","PeriodicalId":20093,"journal":{"name":"Physical Therapy","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ptj/pzaf070","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
Abstract
Importance: Individualizing interventions is imperative to optimize step-activity in people with chronic stroke.
Objective: The objective was to group individuals with chronic stroke into clinical profiles based on baseline characteristics and examine if these profiles preferentially benefitted from a specific intervention to improve daily step-activity.
Design: This is a secondary analysis of a randomized control trial.
Setting: The parent study occurred at 4 outpatient rehabilitation clinics.
Participants: Participants had strokes ≥6 months prior to enrollment, were 21 to 85 years old, had walking speeds of 0.3 to1.0 m/s, and took <8000 steps-per-day.
Interventions: Participants were randomized to high-intensity treadmill training (FAST), a step-activity behavioral intervention (SAM), or a combined intervention (FAST+SAM).
Main outcome(s): The primary outcome was the interaction of latent class (clinical profile) and intervention group (FAST, SAM, FAST+SAM) on a change in steps-per-day. Key clinical characteristics to identify the latent classes included walking speed, walking endurance, balance self-efficacy, cognition, and area deprivation.
Results: Of the 190 participants with complete pre- and post-intervention data (mean [SD] age, 64 [12] years; 93 females [48.9%]), 3 distinct profiles of people with chronic stroke were identified. Class 1 had the lowest walking capacity (speed and endurance), lowest balance self-efficacy, and highest area deprivation, and the greatest change in step-activity when enrolled in SAM (mean = 1624, 95% CI = 426 to 2821) or FAST+SAM (mean = 1150, 95% CI = 723 to 1577]). Class 2 had walking capacity, baseline steps-per-day, and self-efficacy values between Class 1 and 3, and had the greatest change in step-activity when enrolled in SAM (mean = 2002, 95% CI = 1193 to 2811). Class 3 had the highest walking capacity, highest self-efficacy, and lowest area deprivation and the greatest change in step-activity when enrolled in FAST+SAM (mean = 1532, 95% CI = 915 to 2150).
Conclusions: People with chronic stroke require different interventions to optimize changes in step-activity.
Relevance: Clinicians can use clinically relevant measures to personalize intervention selection to augment step-activity in people with chronic stroke.
期刊介绍:
Physical Therapy (PTJ) engages and inspires an international readership on topics related to physical therapy. As the leading international journal for research in physical therapy and related fields, PTJ publishes innovative and highly relevant content for both clinicians and scientists and uses a variety of interactive approaches to communicate that content, with the expressed purpose of improving patient care. PTJ"s circulation in 2008 is more than 72,000. Its 2007 impact factor was 2.152. The mean time from submission to first decision is 58 days. Time from acceptance to publication online is less than or equal to 3 months and from acceptance to publication in print is less than or equal to 5 months.