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      Systematic Review on Kinematic Assessments of Upper Limb Movements After Stroke

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          Abstract

          Background and Purpose- Assessing upper limb movements poststroke is crucial to monitor and understand sensorimotor recovery. Kinematic assessments are expected to enable a sensitive quantification of movement quality and distinguish between restitution and compensation. The nature and practice of these assessments are highly variable and used without knowledge of their clinimetric properties. This presents a challenge when interpreting and comparing results. The purpose of this review was to summarize the state of the art regarding kinematic upper limb assessments poststroke with respect to the assessment task, measurement system, and performance metrics with their clinimetric properties. Subsequently, we aimed to provide evidence-based recommendations for future applications of upper limb kinematics in stroke recovery research. Methods- A systematic search was conducted in PubMed, Embase, CINAHL, and IEEE Xplore. Studies investigating clinimetric properties of applied metrics were assessed for risk of bias using the Consensus-Based Standards for the Selection of Health Measurement Instruments checklist. The quality of evidence for metrics was determined according to the Grading of Recommendations Assessment, Development, and Evaluation approach. Results- A total of 225 studies (N=6197) using 151 different kinematic metrics were identified and allocated to 5 task and 3 measurement system groups. Thirty studies investigated clinimetrics of 62 metrics: reliability (n=8), measurement error (n=5), convergent validity (n=22), and responsiveness (n=2). The metrics task/movement time, number of movement onsets, number of movement ends, path length ratio, peak velocity, number of velocity peaks, trunk displacement, and shoulder flexion/extension received a sufficient evaluation for one clinimetric property. Conclusions- Studies on kinematic assessments of upper limb sensorimotor function are poorly standardized and rarely investigate clinimetrics in an unbiased manner. Based on the available evidence, recommendations on the assessment task, measurement system, and performance metrics were made with the goal to increase standardization. Further high-quality studies evaluating clinimetric properties are needed to validate kinematic assessments, with the long-term goal to elucidate upper limb sensorimotor recovery poststroke. Clinical Trial Registration- URL: https://www.crd.york.ac.uk/prospero/ . Unique identifier: CRD42017064279.

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          Most cited references23

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          The Fugl-Meyer Assessment of Motor Recovery after Stroke: A Critical Review of Its Measurement Properties

          Measurement of recovery after stroke is becoming increasingly important with the advent of new treatment options under investigation in stroke rehabilitation research. The Fugl-Meyer scale was developed as the first quantitative evaluative instrument for measuring sensorimotor stroke recovery, based on Twitchell and Brunnstrom's concept of sequential stages of motor return in the hemiplegic stroke patient. The Fugl-Meyer is a well-designed, feasible and efficient clinical examination method that has been tested widely in the stroke population. Its primary value is the 100-point motor domain, which has received the most extensive evaluation. Excellent interrater and intrarater reliability and construct validity have been demonstrated, and preliminary evidence suggests that the Fugl-Meyer assessment is responsive to change. Limitations of the motor domain include a ceiling effect, omission of some potentially relevant items, and weighting of the arm more than the leg. Further study should test performance of this scale in specific subgroups of stroke patients and better define its criterion validity, sensitivity to change, and minimal clinically important difference. Based on the available evidence, the Fugl-Meyer motor scale is recommended highly as a clinical and research tool for evaluating changes in motor impairment following stroke.
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            Early prediction of outcome of activities of daily living after stroke: a systematic review.

            Knowledge about robust and unbiased factors that predict outcome of activities of daily living (ADL) is paramount in stroke management. This review investigates the methodological quality of prognostic studies in the early poststroke phase for final ADL to identify variables that are predictive or not predictive for outcome of ADL after stroke. PubMed, Ebsco/Cinahl and Embase were systematically searched for prognostic studies in which stroke patients were included ≤2 weeks after onset and final outcome of ADL was determined ≥3 months poststroke. Risk of bias scores were used to distinguish high- and low-quality studies and a qualitative synthesis was performed. Forty-eight of 8425 identified citations were included. The median risk of bias score was 17 out of 27 (range, 6-22) points. Most studies failed to report medical treatment applied, management of missing data, rationale for candidate determinants and outcome cut-offs, results of univariable analysis, and validation and performance of the model, making the predictive value of most determinants indistinct. Six high-quality studies showed strong evidence for baseline neurological status, upper limb paresis, and age as predictors for outcome of ADL. Gender and risk factors such as atrial fibrillation were unrelated to this outcome. Because of insufficient methodological quality of most prognostic studies, the predictive value of many clinical determinants for outcome of ADL remains unclear. Future cohort studies should focus on early prediction using simple models with good clinical performance to enhance application in stroke management and research.
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              Test-retest reproducibility and smallest real difference of 5 hand function tests in patients with stroke.

              To investigate the test-retest reproducibility and smallest real difference (SRD) of 3 hand strength tests (grip, palmar pinch, and lateral pinch) and 2 dexterity tests (the Box and Block test [BBT] and the Nine Hole Peg test [NHPT]) in patients with stroke. The 5 tests were administered on 62 stroke patients in 2 sessions, 3 to 7 days apart. The intraclass correlation coefficient (ICC) was used to determine the level of reproducibility between measurements on 2 sessions. The SRD was used to determine the extent of measurement error because of chance variation in individual patients. SRD percentage (SRD relative to mean score) was used to compare test-retest reliability across tests. We analyzed the group as a whole, then in 2 subgroups (hand spasticity vs none). The test-retest reproducibility of all 5 tests was high for all the patients, with ICCs ranging from 0.85 to 0.98. The SRDs for the more/less affected hand were: 2.9/4.7 kg for the grip test; 1.2/1.3 kg for the palmar pinch test; 1.4/1.0 kg for the lateral pinch test; 5.5/7.8 blocks/minute for the BBT; and 32.8/6.2 seconds for the NHPT. Unacceptably high SRD percentages (>30%) were found for the affected hand using the NHPT (54%), palmar pinch (35%), and lateral pinch (34%). When comparing these indices for participants with spasticity versus none for all 5 tests, the ICCs were lower and the SRD and SRD percentage were higher for the spasticity group. All 5 tests demonstrated satisfactory test-retest reproducibility for a diverse group of patients with stroke. However, all tests showed higher levels of measurement error when performed with the more affected hand and in patients with hypertonicity of that hand. Thus, baseline and postrehabilitation change scores using these common tests of strength and dexterity must be interpreted with some caution, especially in poorly controlled clinical trials. Repeated measures ought to be incorporated to examine reliability within a trial that includes participants with a hypertonic hand.

                Author and article information

                Journal
                Stroke
                Stroke
                Ovid Technologies (Wolters Kluwer Health)
                0039-2499
                1524-4628
                March 2019
                March 2019
                : 50
                : 3
                : 718-727
                Affiliations
                [1 ]From the Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (A.S., A.R.L., J.M.V.)
                [2 ]cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland (A.S., A.R.L., J.M.V.)
                [3 ]Biomedical Signals and Systems, Technical Medical Centre (TechMed Centre), University of Twente, Enschede, the Netherlands (A.S.)
                [4 ]Department of Health Sciences and Technology, Rehabilitation Engineering Laboratory, Institute of Robotics and Intelligent Systems, ETH Zurich, Switzerland (C.M.K., O.L.).
                Article
                10.1161/STROKEAHA.118.023531
                30776997
                234dac9e-bad6-441e-8987-8306614e7ef2
                © 2019
                History

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