Literature DB >> 23139424

Accuracy of physical therapists' early predictions of upper-limb function in hospital stroke units: the EPOS Study.

Rinske H M Nijland1, Erwin E H van Wegen, Barbara C Harmeling-van der Wel, Gert Kwakkel.   

Abstract

BACKGROUND: Early prediction of outcome after stroke is becoming increasingly important, as most patients are discharged from hospital stroke units within several days after stroke.
OBJECTIVES: The primary purposes of this study were: (1) to determine the accuracy of physical therapists' predictions at hospital stroke units regarding upper-limb (UL) function, (2) to develop a computational prediction model (CPM), and (3) to compare the accuracy of physical therapists' and the CPM's predictions. Secondary objectives were to explore the impact of timing on the accuracy of the physical therapists' and CPM's predictions and to investigate the direction of the difference between predicted and observed outcomes. Finally, this study investigated whether the accuracy of physical therapists' predictions was affected by their experience in stroke rehabilitation.
DESIGN: A prospective cohort study was conducted.
METHODS: Physical therapists made predictions at 2 time points-within 72 hours after stroke onset (T(72h)) and at discharge from the hospital stroke unit (Tdischarge)-about UL function after 6 months in 3 categories, derived from the action research arm test. At the same time, clinical variables were measured to derive a CPM. The accuracy of the physical therapists' and CPM's predictions was evaluated by calculating Spearman rank correlation coefficients (r(s)) between predicted and observed outcomes.
RESULTS: One hundred thirty-one patients and 20 physical therapists participated in the study. For the T(72h) assessment, the rs value between predicted and observed outcomes was .63 for the physical therapists' predictions and .75 for the CPM's predictions. For the Tdischarge assessment, the rs value for the physical therapists' predictions improved to .75, and the rs value for the CPM's predictions improved slightly to .76. LIMITATIONS: Physical therapists administered a test battery every 3 days, which may have enhanced the accuracy of prediction.
CONCLUSIONS: The accuracy of the physical therapists' predictions at T(72h) was lower than that of the CPM's predictions. At Tdischarge, the physical therapists' and CPM's predictions are about equally accurate.

Entities:  

Mesh:

Year:  2012        PMID: 23139424     DOI: 10.2522/ptj.20120112

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  10 in total

1.  Corticospinal Tract Injury Estimated From Acute Stroke Imaging Predicts Upper Extremity Motor Recovery After Stroke.

Authors:  David J Lin; Alison M Cloutier; Kimberly S Erler; Jessica M Cassidy; Samuel B Snider; Jessica Ranford; Kristin Parlman; Fabio Giatsidis; James F Burke; Lee H Schwamm; Seth P Finklestein; Leigh R Hochberg; Steven C Cramer
Journal:  Stroke       Date:  2019-10-25       Impact factor: 7.914

2.  Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry.

Authors:  Ching-Heng Lin; Kai-Cheng Hsu; Kory R Johnson; Yang C Fann; Chon-Haw Tsai; Yu Sun; Li-Ming Lien; Wei-Lun Chang; Po-Lin Chen; Cheng-Li Lin; Chung Y Hsu
Journal:  Comput Methods Programs Biomed       Date:  2020-02-01       Impact factor: 5.428

3.  Basal Ganglia versus Peripheral Infarcts: Predictive Value of Early Fiber Alterations.

Authors:  M T Berndt; D Pürner; C Maegerlein; S Wunderlich; B Friedrich; C Zimmer; D Sepp; J Kaesmacher; T Boeckh-Behrens
Journal:  AJNR Am J Neuroradiol       Date:  2020-12-10       Impact factor: 3.825

4.  Feasibility and preliminary efficacy of a combined virtual reality, robotics and electrical stimulation intervention in upper extremity stroke rehabilitation.

Authors:  Nahid Norouzi-Gheidari; Philippe S Archambault; Katia Monte-Silva; Dahlia Kairy; Heidi Sveistrup; Michael Trivino; Mindy F Levin; Marie-Hélène Milot
Journal:  J Neuroeng Rehabil       Date:  2021-04-14       Impact factor: 4.262

5.  Stroke impairment categories: A new way to classify the effects of stroke based on stroke-related impairments.

Authors:  Matthew Gittins; David Lugo-Palacios; Andy Vail; Audrey Bowen; Lizz Paley; Benjamin Bray; Sarah Tyson
Journal:  Clin Rehabil       Date:  2020-11-01       Impact factor: 3.477

6.  Exploring physiotherapists' and occupational therapists' perceptions of the upper limb prediction algorithm PREP2 after stroke in a rehabilitation setting: a qualitative study.

Authors:  Camilla Biering Lundquist; Hanne Pallesen; Tine Tjørnhøj-Thomsen; Iris Charlotte Brunner
Journal:  BMJ Open       Date:  2021-04-07       Impact factor: 2.692

7.  Utility of Transcranial Magnetic Stimulation and Diffusion Tensor Imaging for Prediction of Upper-Limb Motor Recovery in Acute Ischemic Stroke Patients.

Authors:  Pradeep Kumar; Manya Prasad; Animesh Das; Deepti Vibha; Ajay Garg; Vinay Goyal; Achal K Srivastava
Journal:  Ann Indian Acad Neurol       Date:  2021-09-27       Impact factor: 1.383

8.  Brain Function and Upper Limb Outcome in Stroke: A Cross-Sectional fMRI Study.

Authors:  Floor E Buma; Mathijs Raemaekers; Gert Kwakkel; Nick F Ramsey
Journal:  PLoS One       Date:  2015-10-06       Impact factor: 3.240

9.  PREP2: A biomarker-based algorithm for predicting upper limb function after stroke.

Authors:  Cathy M Stinear; Winston D Byblow; Suzanne J Ackerley; Marie-Claire Smith; Victor M Borges; P Alan Barber
Journal:  Ann Clin Transl Neurol       Date:  2017-10-24       Impact factor: 4.511

10.  International stroke genetics consortium recommendations for studies of genetics of stroke outcome and recovery.

Authors:  Arne G Lindgren; Robynne G Braun; Jennifer Juhl Majersik; Philip Clatworthy; Shraddha Mainali; Colin P Derdeyn; Jane Maguire; Christina Jern; Jonathan Rosand; John W Cole; Jin-Moo Lee; Pooja Khatri; Paul Nyquist; Stéphanie Debette; Loo Keat Wei; Tatjana Rundek; Dana Leifer; Vincent Thijs; Robin Lemmens; Laura Heitsch; Kameshwar Prasad; Jordi Jimenez Conde; Martin Dichgans; Natalia S Rost; Steven C Cramer; Julie Bernhardt; Bradford B Worrall; Israel Fernandez-Cadenas
Journal:  Int J Stroke       Date:  2021-04-26       Impact factor: 5.266

  10 in total

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