Literature DB >> 15808717

Factors influencing outcome in intracerebral hematoma: a simple, reliable, and accurate method to grade intracerebral hemorrhage.

Mark Shaya1, Arvind Dubey, Caglar Berk, Eduardo Gonzalez-Toledo, John Zhang, Gloria Caldito, Anil Nanda.   

Abstract

BACKGROUND: Intracerebral hemorrhage (ICH) is a major public health problem. This subset of stroke often coexists with other serious medical problems such as hypertension, diabetes, and obesity. Management of hemorrhagic stroke is controversial and there is no standardized system for assessing presentation and predicting outcome of this disease. We propose a new grading system based on clinical and radiologic factors important in influencing outcome in ICH that can be used by the entire health care team.
METHODS: We conducted a retrospective study of the last 50 patients who presented with hypertensive ICHs to Louisiana State University Health Sciences Center in Shreveport during 2001 to 2003. Significant predictors of outcome at 6 months as measured by the Glasgow outcome score (GOS) were determined and a grading system based on clot volume, hydrocephalus on initial computed tomographic scan, and focal neurologic deficit was formulated.
RESULTS: Three factors observed to have significant association with GOS were presence of a focal neurologic deficit on initial presentation (P = .003), presence of hydrocephalus on initial computed tomographic scan (P < .0001), and clot volume (P = .003). Patients were scored on these variables as follows: neurologically intact (0 point), any focal neurological deficit (1 point); absence of hydrocephalus (0 point), presence of hydrocephalus (1 point); and clot volume less than 20 mL (1 point), 20 to 50 mL (2 points), and greater than 50 mL (3 points) [corrected] The scores were summed to assign an ICH grade to each patient for predicting his GOS at 6 months. Given the nonsignificant difference between a patient's grade and his actual observed GOS (mean difference 0.04, P = .79), as well as their significant correlation (correlation coefficient = 0.76, P < .0001), we believe our grading system is useful for predicting a patient's GOS.
CONCLUSION: An accurate and reliable grading scale for ICH is helpful in standardizing the management of ICH, improving communication of patient presentation among health care workers, and predicting outcomes.

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Mesh:

Year:  2005        PMID: 15808717     DOI: 10.1016/j.surneu.2004.06.019

Source DB:  PubMed          Journal:  Surg Neurol        ISSN: 0090-3019


  7 in total

1.  Mortality and functional disability after spontaneous intracranial hemorrhage: the predictive impact of overall admission factors.

Authors:  Behnam Mansouri; Kamran Heidari; Shadi Asadollahi; Maryam Nazari; Farhad Assarzadegan; Afshin Amini
Journal:  Neurol Sci       Date:  2013-03-30       Impact factor: 3.307

2.  High S100B levels in cerebrospinal fluid and peripheral blood of patients with acute basal ganglial hemorrhage are associated with poor outcome.

Authors:  Man Huang; Xiao-Qiao Dong; Yue-Yu Hu; Wen-Hua Yu; Zu-Yong Zhang
Journal:  World J Emerg Med       Date:  2010

3.  New prognostic score for the prediction of 30-day outcome in spontaneous supratentorial cerebral haemorrhage.

Authors:  Rita Szepesi; Ibolya Katalin Széll; Tibor Hortobágyi; László Kardos; Katalin Nagy; Levente István Lánczi; Ervin Berényi; Dániel Bereczki; László Csiba
Journal:  Biomed Res Int       Date:  2015-01-08       Impact factor: 3.411

4.  Primary cCT Imaging Based Clinico-Neurological Assessment-Calling for Addition of Telestroke Video Consultation in Patients With Intracerebral Hemorrhage.

Authors:  Andrea Wagner; Karl-Michael Schebesch; Florian Zeman; Stefan Isenmann; Andreas Steinbrecher; Thomas Kapapa; Dobri Baldaranov; Roland Backhaus; Felix Schlachetzki
Journal:  Front Neurol       Date:  2018-07-26       Impact factor: 4.003

5.  Interdisciplinary Decision Making in Hemorrhagic Stroke Based on CT Imaging-Differences Between Neurologists and Neurosurgeons Regarding Estimation of Patients' Symptoms, Glasgow Coma Scale, and National Institutes of Health Stroke Scale.

Authors:  Andrea Wagner; Karl-Michael Schebesch; Stefan Isenmann; Andreas Steinbrecher; Thomas Kapapa; Florian Zeman; Dobri Baldaranov; Oliver Grauer; Roland Backhaus; Ralf A Linker; Felix Schlachetzki
Journal:  Front Neurol       Date:  2019-09-26       Impact factor: 4.003

6.  MRI-based analysis of intracerebral hemorrhage in mice reveals relationship between hematoma expansion and the severity of symptoms.

Authors:  Hideaki Matsushita; Masanori Hijioka; Akinori Hisatsune; Yoichiro Isohama; Shigeto Iwamoto; Hiroaki Terasawa; Hiroshi Katsuki
Journal:  PLoS One       Date:  2013-07-02       Impact factor: 3.240

7.  Prognostic models for intracerebral hemorrhage: systematic review and meta-analysis.

Authors:  Tiago Gregório; Sara Pipa; Pedro Cavaleiro; Gabriel Atanásio; Inês Albuquerque; Paulo Castro Chaves; Luís Azevedo
Journal:  BMC Med Res Methodol       Date:  2018-11-20       Impact factor: 4.615

  7 in total

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