Literature DB >> 21183748

Diagnostic accuracy of the Barthel Index for measuring activities of daily living outcome after ischemic hemispheric stroke: does early poststroke timing of assessment matter?

Gert Kwakkel1, Janne M Veerbeek, Barbara C Harmeling-van der Wel, Erwin van Wegen, Boudewijn J Kollen.   

Abstract

BACKGROUND AND
PURPOSE: This study investigated the diagnostic accuracy of the Barthel Index (BI) in 206 stroke patients, measured within 72 hours, for activities of daily living at 6 months and determined whether the timing of BI assessment during the first days affects the accuracy of predicting activities of daily living outcome at 6 months.
METHODS: Receiver operating characteristic curves were constructed to determine the area under the curve and optimal cutoff points for BI at Days 2, 5, and 9. OR, sensitivity, specificity, positive predictive value, and negative predictive value were calculated to predict BI ≥19.
RESULTS: The area under the curve ranged from 0.785 on Day 2 to 0.837 and 0.848 on Days 5 and 9. Comparison of the receiver operating characteristic curves showed that the area under the curve was significantly different between Days 2 and 5 (P<0.001) and between Days 2 and 9 (P<0.001). No significant difference was found between Days 5 and 9 (P=0.08). Using a BI cutoff score of 7, the positive predictive value gradually increased from 0.696 on Day 2 to 0.817 on Day 2 to 0.864 on Day 9, whereas negative predictive value declined from 0.778 on Day 2 to 0.613 on Day 9.
CONCLUSIONS: Assessment of the BI early poststroke showed good discriminative properties for final outcome of BI at 6 months. However, Day 5 proved to be the earliest time for making an optimal prediction of final outcome of activities of daily living. The BI should be measured at the end of the first week in hospital-based stroke units for early rehabilitation management.

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Year:  2010        PMID: 21183748     DOI: 10.1161/STROKEAHA.110.599035

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  17 in total

1.  Prediction of motor recovery after ischemic stroke using diffusion tensor imaging: A meta-analysis.

Authors:  Jing-Fen Jin; Zhi-Ting Guo; Yu-Ping Zhang; Yuan-Yuan Chen
Journal:  World J Emerg Med       Date:  2017

2.  Using convolutional neural network to analyze brain MRI images for predicting functional outcomes of stroke.

Authors:  Yu-Liang Lai; Yu-Dan Wu; Huan-Jui Yeh; Ya-Ting Wu; Hsin-Yu Tsai; Jung-Chih Chen
Journal:  Med Biol Eng Comput       Date:  2022-08-02       Impact factor: 3.079

Review 3.  Imaging for prediction of functional outcome and assessment of recovery in ischemic stroke.

Authors:  Wolf-Dieter Heiss; Chelsea S Kidwell
Journal:  Stroke       Date:  2014-03-04       Impact factor: 7.914

4.  Predictors of functional level and quality of life at 6 months after a first-ever stroke: the KOSCO study.

Authors:  Won Hyuk Chang; Min Kyun Sohn; Jongmin Lee; Deog Young Kim; Sam-Gyu Lee; Yong-Il Shin; Gyung-Jae Oh; Yang-Soo Lee; Min Cheol Joo; Eun Young Han; Chung Kang; Yun-Hee Kim
Journal:  J Neurol       Date:  2016-04-25       Impact factor: 4.849

Review 5.  Ischemic Stroke: Risk Stratification, Warfarin Teatment and Outcome Measure.

Authors:  Srikanth Kaithoju
Journal:  J Atr Fibrillation       Date:  2015-12-31

6.  An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model.

Authors:  Erin E Kaiser; J C Poythress; Kelly M Scheulin; Brian J Jurgielewicz; Nicole A Lazar; Cheolwoo Park; Steven L Stice; Jeongyoun Ahn; Franklin D West
Journal:  Neural Regen Res       Date:  2021-05       Impact factor: 5.135

7.  Comparative interrater reliability of Asian Stroke Disability Scale, modified Rankin Scale and Barthel Index in patients with brain infarction.

Authors:  Kavian Ghandehari; Kosar Ghandehari; Ghazaleh Saffarian-Toosi; Shahram Masoudinezhad; Siamak Yazdani; Ali Nooraddin; Saeed Ebrahimzadeh; Fahimeh Ahmadi; Fatemeh Abrishamchi
Journal:  ARYA Atheroscler       Date:  2012

Review 8.  Challenging comparison of stroke scales.

Authors:  Kavian Ghandehari
Journal:  J Res Med Sci       Date:  2013-10       Impact factor: 1.852

9.  Rehabilitation Profiles of Older Adult Stroke Survivors Admitted to Intermediate Care Units: A Multi-Centre Study.

Authors:  Laura M Pérez; Marco Inzitari; Terence J Quinn; Joan Montaner; Ricard Gavaldà; Esther Duarte; Laura Coll-Planas; Mercè Cerdà; Sebastià Santaeugenia; Conxita Closa; Miquel Gallofré
Journal:  PLoS One       Date:  2016-11-09       Impact factor: 3.240

Review 10.  Computational neurorehabilitation: modeling plasticity and learning to predict recovery.

Authors:  David J Reinkensmeyer; Etienne Burdet; Maura Casadio; John W Krakauer; Gert Kwakkel; Catherine E Lang; Stephan P Swinnen; Nick S Ward; Nicolas Schweighofer
Journal:  J Neuroeng Rehabil       Date:  2016-04-30       Impact factor: 5.208

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