Literature DB >> 9684059

Can a clinical classification of stroke predict complications and treatments during hospitalization?

A N Pinto1, T P Melo, M E Lourenço, M J Leandro, A Brázio, L Carvalho, A S Franco, J M Ferro.   

Abstract

The predictive value of the Oxfordshire Community Stroke Project ischemic stroke classification for acute stroke complications, therapeutic interventions and disability at discharge was investigated in 297 consecutive first-ever acute stroke patients. More than one medical complication (odds ratio, OR = 2.2), fever (OR = 2.5) and dependency (Rankin grade > 2) at discharge (OR = 2.3) were more frequent in intracerebral hemorrhage patients. Fever and urinary tract infections were the most common complications among ischemic stroke patients. Both were more frequent in total anterior circulation infarct (TACI) patients (OR = 11.5 and OR = 3.7). Neurological deterioration was observed in about 10% of TACI and posterior circulation infarct (POCI) patients. Dependency at discharge was more frequent in TACI patients (OR = 10.3). Logistic regression analysis identified ischemic stroke subgroups (OR = 8.4) and medical complications (OR = 3.8) as predictors of poor outcome (Rankin score > or = 4). A clinical classification is useful to predict possible medical and neurological complications in the acute phase, death and dependency at discharge.

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Year:  1998        PMID: 9684059     DOI: 10.1159/000015852

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


  4 in total

1.  Pathophysiological approach to stroke therapy.

Authors:  G L Lenzi; M Altieri; G Bruti; S Di Legge; D Lenzi; I Pestalozza; D Tombari; E Vicenzini; V Di Piero
Journal:  Ital J Neurol Sci       Date:  1998-10

2.  Effect of thin-section diffusion-weighted MR imaging on stroke diagnosis.

Authors:  Hisao Nakamura; Kei Yamada; Osamu Kizu; Hirotoshi Ito; Sachiko Yuen; Takaaki Ito; Kenji Yoshikawa; Kensuke Shiga; Masanori Nakagawa; Tsunehiko Nishimura
Journal:  AJNR Am J Neuroradiol       Date:  2005-03       Impact factor: 3.825

3.  Frequency, Predictors, and Outcomes of Prehospital and Early Postarrival Neurological Deterioration in Acute Stroke: Exploratory Analysis of the FAST-MAG Randomized Clinical Trial.

Authors:  Kristina Shkirkova; Jeffrey L Saver; Sidney Starkman; Gregory Wong; Julius Weng; Scott Hamilton; David S Liebeskind; Marc Eckstein; Samuel Stratton; Frank Pratt; Robin Conwit; Nerses Sanossian
Journal:  JAMA Neurol       Date:  2018-11-01       Impact factor: 18.302

Review 4.  Post-stroke infection: a systematic review and meta-analysis.

Authors:  Willeke F Westendorp; Paul J Nederkoorn; Jan-Dirk Vermeij; Marcel G Dijkgraaf; Diederik van de Beek
Journal:  BMC Neurol       Date:  2011-09-20       Impact factor: 2.474

  4 in total

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