Literature DB >> 14581680

Glucose levels and outcome after subarachnoid hemorrhage.

S M Dorhout Mees1, G W van Dijk, A Algra, D R J Kempink, G J E Rinkel.   

Abstract

In a cohort of 337 patients with subarachnoid hemorrhage (SAH), we investigated the relationship between blood glucose levels, baseline characteristics, and outcome by means of Student's t-test and multivariate logistic regression. The mean glucose levels on admission and from day 1 to 10 were significantly higher in patients with poor condition on admission and in patients with poor outcome. In a multivariate analysis, glucose level on admission was not an independent predictor of outcome. Hyperglycemia may be a link in the association between poor condition on admission and poor outcome.

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Year:  2003        PMID: 14581680     DOI: 10.1212/01.wnl.0000090466.68866.02

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  22 in total

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4.  Treatment of endocrine disorders in the neuroscience intensive care unit.

Authors:  Janice J Hwang; David Y Hwang
Journal:  Curr Treat Options Neurol       Date:  2014-02       Impact factor: 3.598

Review 5.  Spontaneous subarachnoid hemorrhage and glucose management.

Authors:  Erich Schmutzhard; Alejandro A Rabinstein
Journal:  Neurocrit Care       Date:  2011-09       Impact factor: 3.210

6.  Predictors of intraoperative intracranial aneurysm rupture in patients with subarachnoid hemorrhage: a retrospective analysis.

Authors:  Maciej J Frączek; Miłosz J Błoński; Kornelia M Kliś; Roger M Krzyżewski; Jarosław Polak; Krzysztof Stachura; Borys M Kwinta
Journal:  Acta Neurol Belg       Date:  2022-06-27       Impact factor: 2.396

7.  Diabetes mellitus increases risk of vasospasm following aneurysmal subarachnoid hemorrhage independent of glycemic control.

Authors:  Travis Dumont; Anand Rughani; Jeremy Silver; Bruce I Tranmer
Journal:  Neurocrit Care       Date:  2009-05-27       Impact factor: 3.210

8.  No-glucose strategy influences posterior cranial fossa tumors' postoperative course: introducing the Glycemic Stress Index.

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9.  Machine Learning to Predict Delayed Cerebral Ischemia and Outcomes in Subarachnoid Hemorrhage.

Authors:  Jude P J Savarraj; Georgene W Hergenroeder; Liang Zhu; Tiffany Chang; Soojin Park; Murad Megjhani; Farhaan S Vahidy; Zhongming Zhao; Ryan S Kitagawa; H Alex Choi
Journal:  Neurology       Date:  2020-11-12       Impact factor: 9.910

Review 10.  Optimal glycemic control in neurocritical care patients: a systematic review and meta-analysis.

Authors:  Andreas H Kramer; Derek J Roberts; David A Zygun
Journal:  Crit Care       Date:  2012-10-22       Impact factor: 9.097

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