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Total 456 results found since Jan 2013.

Redefining a minimal assessment protocol for stroke rehabilitation: the new "Protocollo di Minima per l'ICtus" - PMIC2020
CONCLUSIONS: The PMIC2020 provides an updated tool for the multidimensional rehabilitation assessment of the stroke patient, at any stage of the rehabilitation pathway; it aims to provide a shared minimum set of variables defining patient's needs and outcomes across different rehabilitation facilities and settings.CLINICAL REHABILITATION IMPACT: The PMIC2020 identifies patient's needs, outcomes, and predictors of response to specific interventions in Stroke rehabilitation and provide ground for a highly needed Stroke Registry.PMID:34042407 | DOI:10.23736/S1973-9087.21.06638-7
Source: European Journal of Physical and Rehabilitation Medicine - May 27, 2021 Category: Rehabilitation Authors: Francesca Cecchi Anna Cassio Susanna Lavezzi Federico Scarponi Giordano Gatta Andrea Montis Chiara Bernucci Marco Franceschini Stefano Bargellesi Stefano Paolucci Mariangela Taricco Source Type: research

Risk models to predict late-onset seizures after stroke: A systematic review
CONCLUSION: The SeLECT model was the only model developed in line with proposed guidelines for appropriate model development. The model, which was externally validated in a very similar and homogeneous population, may need to be tested in a more racially/ethnic diverse and younger population; testing the SeLECT model, accounting for overall brain health is likely to improve the identification of high-risk patients for late post stroke seizures.PMID:34029995 | DOI:10.1016/j.yebeh.2021.108003
Source: Epilepsy and Behaviour - May 24, 2021 Category: Neurology Authors: Alain Lekoubou Kunal Debroy Abena Kwegyir-Aggrey Leonardo Bonilha Andre Pascal Kengne Vernon M Chinchilli Source Type: research

SARS-CoV-2 infection and acute ischemic stroke in Lombardy, Italy
ConclusionsIschemic strokes in COVID-19 patients have distinctive risk factor profile and etiology, increased clinical severity and higher in-hospital mortality rate compared to non-COVID-19 patients. A simple model based on clinical and routine laboratory parameters may be useful in identifying ischemic stroke patients with SARS-CoV-2 infection who are unlikely to survive the acute phase.
Source: Journal of Neurology - May 24, 2021 Category: Neurology Source Type: research