Predictors and Biomarkers of Treatment Gains in a Clinical Stroke Trial Targeting the Lower Extremity

BACKGROUND AND PURPOSE—Behavioral measures are often used to distinguish subgroups of patients with stroke (eg, to predict treatment gains, stratify clinical trial enrollees, or select rehabilitation therapy). In studies of the upper extremity, measures of brain function using functional magnetic re...

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Veröffentlicht in:Stroke (1970) 2014-08, Vol.45 (8), p.2379-2384
Hauptverfasser: Burke, Erin, Dobkin, Bruce H, Noser, Elizabeth A, Enney, Lori A, Cramer, Steven C
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container_end_page 2384
container_issue 8
container_start_page 2379
container_title Stroke (1970)
container_volume 45
creator Burke, Erin
Dobkin, Bruce H
Noser, Elizabeth A
Enney, Lori A
Cramer, Steven C
description BACKGROUND AND PURPOSE—Behavioral measures are often used to distinguish subgroups of patients with stroke (eg, to predict treatment gains, stratify clinical trial enrollees, or select rehabilitation therapy). In studies of the upper extremity, measures of brain function using functional magnetic resonance imaging (fMRI) have also been found useful, but this approach has not been examined for the lower extremity. The current study hypothesized that an fMRI-based measure of cortical function would significantly improve prediction of treatment-induced lower extremity behavioral gains. Biomarkers of treatment gains were also explored. METHODS—Patients with hemiparesis 1 to 12 months after stroke were enrolled in a double-blind, placebo-controlled, randomized clinical trial of ropinirole+physical therapy versus placebo+physical therapy, results of which have previously been reported (NCT00221390). Primary end point was change in gait velocity. Enrollees underwent baseline multimodal assessment that included 19 measures spanning 5 assessment categories (medical history, impairment, disability, brain injury, and brain function), and also underwent reassessment 3 weeks after end of therapy. RESULTS—In bivariate analysis, 8 baseline measures belonging to 4 categories (medical history, impairment, disability, and brain function) significantly predicted change in gait velocity. Prediction was strongest, however, using a multivariate model containing 2 measures (leg Fugl–Meyer score and fMRI activation volume within ipsilesional foot sensorimotor cortex). Increased activation volume within bilateral foot primary sensorimotor cortex correlated positively with treatment-induced leg motor gains. CONCLUSIONS—A multimodal model incorporating behavioral and fMRI measures best predicted treatment-induced changes in gait velocity in a clinical trial setting. Results also suggest potential use of fMRI measures as biomarkers of treatment gains.
doi_str_mv 10.1161/STROKEAHA.114.005436
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In studies of the upper extremity, measures of brain function using functional magnetic resonance imaging (fMRI) have also been found useful, but this approach has not been examined for the lower extremity. The current study hypothesized that an fMRI-based measure of cortical function would significantly improve prediction of treatment-induced lower extremity behavioral gains. Biomarkers of treatment gains were also explored. METHODS—Patients with hemiparesis 1 to 12 months after stroke were enrolled in a double-blind, placebo-controlled, randomized clinical trial of ropinirole+physical therapy versus placebo+physical therapy, results of which have previously been reported (NCT00221390). Primary end point was change in gait velocity. Enrollees underwent baseline multimodal assessment that included 19 measures spanning 5 assessment categories (medical history, impairment, disability, brain injury, and brain function), and also underwent reassessment 3 weeks after end of therapy. RESULTS—In bivariate analysis, 8 baseline measures belonging to 4 categories (medical history, impairment, disability, and brain function) significantly predicted change in gait velocity. Prediction was strongest, however, using a multivariate model containing 2 measures (leg Fugl–Meyer score and fMRI activation volume within ipsilesional foot sensorimotor cortex). Increased activation volume within bilateral foot primary sensorimotor cortex correlated positively with treatment-induced leg motor gains. CONCLUSIONS—A multimodal model incorporating behavioral and fMRI measures best predicted treatment-induced changes in gait velocity in a clinical trial setting. Results also suggest potential use of fMRI measures as biomarkers of treatment gains.</description><identifier>ISSN: 0039-2499</identifier><identifier>EISSN: 1524-4628</identifier><identifier>DOI: 10.1161/STROKEAHA.114.005436</identifier><identifier>PMID: 25070961</identifier><identifier>CODEN: SJCCA7</identifier><language>eng</language><publisher>Hagerstown, MD: American Heart Association, Inc</publisher><subject>Adult ; Aged ; Biological and medical sciences ; Cardiovascular system ; Cerebral Cortex - physiopathology ; Combined Modality Therapy ; Double-Blind Method ; Female ; Gait - physiology ; Humans ; Indoles - therapeutic use ; Lower Extremity - physiopathology ; Magnetic Resonance Imaging ; Male ; Medical sciences ; Middle Aged ; Neurology ; Paresis - etiology ; Paresis - physiopathology ; Paresis - rehabilitation ; Pharmacology. Drug treatments ; Stroke - complications ; Stroke - physiopathology ; Stroke Rehabilitation ; Treatment Outcome ; Vascular diseases and vascular malformations of the nervous system ; Vasodilator agents. 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In studies of the upper extremity, measures of brain function using functional magnetic resonance imaging (fMRI) have also been found useful, but this approach has not been examined for the lower extremity. The current study hypothesized that an fMRI-based measure of cortical function would significantly improve prediction of treatment-induced lower extremity behavioral gains. Biomarkers of treatment gains were also explored. METHODS—Patients with hemiparesis 1 to 12 months after stroke were enrolled in a double-blind, placebo-controlled, randomized clinical trial of ropinirole+physical therapy versus placebo+physical therapy, results of which have previously been reported (NCT00221390). Primary end point was change in gait velocity. Enrollees underwent baseline multimodal assessment that included 19 measures spanning 5 assessment categories (medical history, impairment, disability, brain injury, and brain function), and also underwent reassessment 3 weeks after end of therapy. RESULTS—In bivariate analysis, 8 baseline measures belonging to 4 categories (medical history, impairment, disability, and brain function) significantly predicted change in gait velocity. Prediction was strongest, however, using a multivariate model containing 2 measures (leg Fugl–Meyer score and fMRI activation volume within ipsilesional foot sensorimotor cortex). Increased activation volume within bilateral foot primary sensorimotor cortex correlated positively with treatment-induced leg motor gains. CONCLUSIONS—A multimodal model incorporating behavioral and fMRI measures best predicted treatment-induced changes in gait velocity in a clinical trial setting. Results also suggest potential use of fMRI measures as biomarkers of treatment gains.</description><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Cardiovascular system</subject><subject>Cerebral Cortex - physiopathology</subject><subject>Combined Modality Therapy</subject><subject>Double-Blind Method</subject><subject>Female</subject><subject>Gait - physiology</subject><subject>Humans</subject><subject>Indoles - therapeutic use</subject><subject>Lower Extremity - physiopathology</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Neurology</subject><subject>Paresis - etiology</subject><subject>Paresis - physiopathology</subject><subject>Paresis - rehabilitation</subject><subject>Pharmacology. Drug treatments</subject><subject>Stroke - complications</subject><subject>Stroke - physiopathology</subject><subject>Stroke Rehabilitation</subject><subject>Treatment Outcome</subject><subject>Vascular diseases and vascular malformations of the nervous system</subject><subject>Vasodilator agents. 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Drug treatments</topic><topic>Stroke - complications</topic><topic>Stroke - physiopathology</topic><topic>Stroke Rehabilitation</topic><topic>Treatment Outcome</topic><topic>Vascular diseases and vascular malformations of the nervous system</topic><topic>Vasodilator agents. Cerebral vasodilators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Burke, Erin</creatorcontrib><creatorcontrib>Dobkin, Bruce H</creatorcontrib><creatorcontrib>Noser, Elizabeth A</creatorcontrib><creatorcontrib>Enney, Lori A</creatorcontrib><creatorcontrib>Cramer, Steven C</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Stroke (1970)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Burke, Erin</au><au>Dobkin, Bruce H</au><au>Noser, Elizabeth A</au><au>Enney, Lori A</au><au>Cramer, Steven C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors and Biomarkers of Treatment Gains in a Clinical Stroke Trial Targeting the Lower Extremity</atitle><jtitle>Stroke (1970)</jtitle><addtitle>Stroke</addtitle><date>2014-08</date><risdate>2014</risdate><volume>45</volume><issue>8</issue><spage>2379</spage><epage>2384</epage><pages>2379-2384</pages><issn>0039-2499</issn><eissn>1524-4628</eissn><coden>SJCCA7</coden><abstract>BACKGROUND AND PURPOSE—Behavioral measures are often used to distinguish subgroups of patients with stroke (eg, to predict treatment gains, stratify clinical trial enrollees, or select rehabilitation therapy). In studies of the upper extremity, measures of brain function using functional magnetic resonance imaging (fMRI) have also been found useful, but this approach has not been examined for the lower extremity. The current study hypothesized that an fMRI-based measure of cortical function would significantly improve prediction of treatment-induced lower extremity behavioral gains. Biomarkers of treatment gains were also explored. METHODS—Patients with hemiparesis 1 to 12 months after stroke were enrolled in a double-blind, placebo-controlled, randomized clinical trial of ropinirole+physical therapy versus placebo+physical therapy, results of which have previously been reported (NCT00221390). Primary end point was change in gait velocity. Enrollees underwent baseline multimodal assessment that included 19 measures spanning 5 assessment categories (medical history, impairment, disability, brain injury, and brain function), and also underwent reassessment 3 weeks after end of therapy. RESULTS—In bivariate analysis, 8 baseline measures belonging to 4 categories (medical history, impairment, disability, and brain function) significantly predicted change in gait velocity. Prediction was strongest, however, using a multivariate model containing 2 measures (leg Fugl–Meyer score and fMRI activation volume within ipsilesional foot sensorimotor cortex). Increased activation volume within bilateral foot primary sensorimotor cortex correlated positively with treatment-induced leg motor gains. CONCLUSIONS—A multimodal model incorporating behavioral and fMRI measures best predicted treatment-induced changes in gait velocity in a clinical trial setting. Results also suggest potential use of fMRI measures as biomarkers of treatment gains.</abstract><cop>Hagerstown, MD</cop><pub>American Heart Association, Inc</pub><pmid>25070961</pmid><doi>10.1161/STROKEAHA.114.005436</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; American Heart Association Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Journals@Ovid Complete; Alma/SFX Local Collection
subjects Adult
Aged
Biological and medical sciences
Cardiovascular system
Cerebral Cortex - physiopathology
Combined Modality Therapy
Double-Blind Method
Female
Gait - physiology
Humans
Indoles - therapeutic use
Lower Extremity - physiopathology
Magnetic Resonance Imaging
Male
Medical sciences
Middle Aged
Neurology
Paresis - etiology
Paresis - physiopathology
Paresis - rehabilitation
Pharmacology. Drug treatments
Stroke - complications
Stroke - physiopathology
Stroke Rehabilitation
Treatment Outcome
Vascular diseases and vascular malformations of the nervous system
Vasodilator agents. Cerebral vasodilators
title Predictors and Biomarkers of Treatment Gains in a Clinical Stroke Trial Targeting the Lower Extremity
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