Literature DB >> 18511867

Quantification of the probability of reaching mobility independence at discharge from a rehabilitation hospital in nonwalking early ischemic stroke patients: a multivariate study.

Stefano Paolucci1, Maura Bragoni, Paola Coiro, Domenico De Angelis, Francesca Romana Fusco, Daniela Morelli, Vincenzo Venturiero, Luca Pratesi.   

Abstract

BACKGROUND: This study was designed to quantify the probability of recovery of mobility in admission nonwalking stroke survivors.
METHODS: We evaluated 437 of 500 consecutive patients admitted for sequelae of first ischemic stroke within the first month. We performed several logistic regressions using mobility status at discharge (independence in stair climbing; walking outside and inside, without aid or supervision; walking with cane or other aid, or need for wheelchair) as dependent variable, and several independent variables, including stratification of patients according to their Barthel Index (BI) score into 6 classes (< or =10; 11-20; 21-30; 31-40; 41-50; 51-60).
RESULTS: At discharge, 4.58% of patients were independent in stair climbing, 8.70% were able to walk outside, 14.41% to walk inside, and 27.46% to walk with cane or other aid, while 44.85% remained in wheelchair. Very low BI scores at admission were associated with a high risk of need for wheelchair, whereas patients with BI score 51-60 showed a high probability to reach independence in stair climbing (OR = 5.60). Age, severity of neurological impairment, global aphasia, unilateral spatial neglect, male gender and vocational status also played a prognostic role.
CONCLUSIONS: The probability of potential mobility recovery can be quantified at admission with better accuracy for independence in stair climbing and walking outside without any aid (percentages correctly predicted 95.4 and 91.8%, respectively). Stratification of BI score may be useful to better quantify the risk for each patient. (c) 2008 S. Karger AG, Basel

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Year:  2008        PMID: 18511867     DOI: 10.1159/000135648

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  18 in total

1.  [Pedestrians in Berlin after stroke. Recommendations for street and subway transit].

Authors:  S Hesse; A Welz; E Assmann; B Quentin; A Waldner
Journal:  Nervenarzt       Date:  2009-08       Impact factor: 1.214

2.  Post Soft Care: Italian implementation of a post-stroke checklist software for primary care and identification of unmet needs in community-dwelling patients.

Authors:  M Iosa; A Lupo; G Morone; A Baricich; A Picelli; G Panza; N Smania; C Cisari; G Sandrini; S Paolucci
Journal:  Neurol Sci       Date:  2017-10-30       Impact factor: 3.307

3.  Clinical features of fallers among inpatient subacute stroke: an observational cohort study.

Authors:  Giovanni Morone; Alex Martino Cinnera; Teresa Paolucci; Henson Dianne Reyes Beatriz; Stefano Paolucci; Marco Iosa
Journal:  Neurol Sci       Date:  2020-04-07       Impact factor: 3.307

4.  Innovative gait robot for the repetitive practice of floor walking and stair climbing up and down in stroke patients.

Authors:  Stefan Hesse; Andreas Waldner; Christopher Tomelleri
Journal:  J Neuroeng Rehabil       Date:  2010-06-28       Impact factor: 4.262

5.  Effects of walking endurance reduction on gait stability in patients with stroke.

Authors:  M Iosa; G Morone; A Fusco; L Pratesi; M Bragoni; P Coiro; M Multari; V Venturiero; D De Angelis; S Paolucci
Journal:  Stroke Res Treat       Date:  2011-09-28

6.  Clinical Reasoning of Physical Therapists regarding In-hospital Walking Independence of Patients with Hemiplegia.

Authors:  Junpei Takahashi; Akiyoshi Takami; Saichi Wakayama
Journal:  J Phys Ther Sci       Date:  2014-05-29

7.  Early imaging correlates of subsequent motor recovery after stroke.

Authors:  Randolph S Marshall; Eric Zarahn; Leeor Alon; Brandon Minzer; Ronald M Lazar; John W Krakauer
Journal:  Ann Neurol       Date:  2009-05       Impact factor: 10.422

8.  Decoding of Motor Coordination Imagery Involving the Lower Limbs by the EEG-Based Brain Network.

Authors:  Yunfa Fu; Zhouzhou Zhou; Anmin Gong; Qian Qian; Lei Su; Lei Zhao
Journal:  Comput Intell Neurosci       Date:  2021-06-23

9.  Seven capital devices for the future of stroke rehabilitation.

Authors:  M Iosa; G Morone; A Fusco; M Bragoni; P Coiro; M Multari; V Venturiero; D De Angelis; L Pratesi; S Paolucci
Journal:  Stroke Res Treat       Date:  2012-12-13

10.  New technologies for stroke rehabilitation.

Authors:  Marco Iosa; Stefan Hesse; Antonio Oliviero; Stefano Paolucci
Journal:  Stroke Res Treat       Date:  2013-01-20
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