Prognostic factors in the recovery of the ability to walk after stroke

Pétrilli, S.; Duruflé, A.; Nicolas, B.; Pinel, J; Kerdoncuff, V.; Gallien, P.

doi:10.1053/jscd.2002.130124

Cited by 29 publications

(41 citation statements)

References 23 publications

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“…The cohorts may be obtained from registries [13,22,29] or may consist of consecutive patients admitted to hospitals with stroke [25,44,45,66,67,68]. However a large proportion of prognostic studies/models on walking and arm recovery have been developed on patients included in clinical trials [16,41,46,69,70,71,72,73] or referred for rehabilitation [14,17,18,19,23,24,26,27,28,33,40,51,74,75,76,77,78,79,80,81,82,83]. This is a problem because clinical trials often select participants using strict inclusion criteria that do not render the sample representative of the wider stroke population, and rehabilitation cohorts may have prognoses that are not typical of all patients.…”

Section: Critical Appraisal Of Development and Validation Studies mentioning

confidence: 99%

“…However these predictors were measured with 3D tracking systems or dynamometers which might not be available in routine clinical practice. Scales such as the Orpington Prognostic Score and the Orgogozo Score predict recovery in walking and upper limb function [44,77] but these scales are less commonly used than scales such as the National Institutes of Health Stroke Scale (NIHSS) [86] and so they may not be immediately available for making prognoses in many clinical settings.…”

Section: Critical Appraisal Of Development and Validation Studies mentioning

confidence: 99%

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Prediction of Walking and Arm Recovery after Stroke: A Critical Review

Kwah

Herbert

2016

Brain Sciences

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Clinicians often base their predictions of walking and arm recovery on multiple predictors. Multivariate prediction models may assist clinicians to make accurate predictions. Several reviews have been published on the prediction of motor recovery after stroke, but none have critically appraised development and validation studies of models for predicting walking and arm recovery. In this review, we highlight some common methodological limitations of models that have been developed and validated. Notable models include the proportional recovery model and the PREP algorithm. We also identify five other models based on clinical predictors that might be ready for further validation. It has been suggested that neurophysiological and neuroimaging data may be used to predict arm recovery. Current evidence suggests, but does not show conclusively, that the addition of neurophysiological and neuroimaging data to models containing clinical predictors yields clinically important increases in predictive accuracy.

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Section: Critical Appraisal Of Development and Validation Studies mentioning

confidence: 99%

Section: Critical Appraisal Of Development and Validation Studies mentioning

confidence: 99%

Prediction of Walking and Arm Recovery after Stroke: A Critical Review

Kwah

Herbert

2016

Brain Sciences

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“…In a series of 93 patients, a bad prognosis was linked to the presence of superficial sensory disorders, depressive syndrome, and urinary incontinence. Hemineglect syndrome was not linked to the prognosis 12 . Our descriptive casuistic is too small for considerations about the effects of either thrombolytic treatment or the risk factors.…”

Section: Discussionmentioning

confidence: 86%

A new clinical sign probably associated to left hemiplegia with left hemineglect syndrome: the crossed legs

Bazan¹,

Fernandes²,

Braga³

et al. 2014

Arq. Neuro-Psiquiatr.

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Objective : To describe a new clinical sign associated with left unilateral neglect syndrome (UNS) in patients with ischemic stroke. Method : Head computed tomography (CT) and National Institute of Health Stroke Scale were obtained in 150 patients with ischemic stroke. Those with right cerebral vascular lesions, left hemiplegia and right leg persistently crossed over the left were submitted to specific tests for UNS. The tests were also applied to 30 patients with right cerebral vascular lesions, left hemiplegia but without crossed legs. Results : From 9 patients with persistent tendency to cross the right leg over the left, UNS was detected in 8. One patient died before the clinical tests were applied. Of the 30 patients without the crossed legs, 20 had normal clinical tests for UNS and 10 had minimal alterations, not sufficient for the diagnosis of UNS. Conclusion : The right leg crossed over the left may represent a new neurological semiotic sign associated with left hemiplegia and left UNS.

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“…Кроме того, он блокирует потенциал-зависимые кальци-евые каналы нейронов гиппокампа, снижая патологиче-скую гиперактивность нейронов гиппокампа, в значи-тельной степени ответственных за регуляцию эмоцио-нальной сферы, когнитивных функций и подкорково-корковых взаимоотношений [25,26].…”

Section: эп к о т о р ы е п о л у ч а л и п а ц и е н т к и с э п иunclassified