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Original Article

Prognosis of 908 patients with intracerebral hemorrhage in Chengdu, Southwest of China

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Pages 586-591 | Received 21 Mar 2016, Accepted 20 Jul 2016, Published online: 21 Aug 2016
 

Abstract

Background and purpose: Intracerebral hemorrhage (ICH) is the deadliest, most disable and least treatable form of acute cerebral accident. Prognostic risk factors of ICH are not yet fully identified. This study investigated the possible clinical factors leading to poor outcomes in patients with ICH, which can be used to guide clinical treatment and predict prognosis. Methods: We prospectively enrolled patients with ICH who were admitted within 7 d of stroke onset from January 2012 to April 2014. The prognostic factors of patients with ICH were analyzed in univariate analyses and logistic regression analyses. Results: A total of 908 consecutive patients with ICH (mean age, 57.87 ± 13.92 years) were finally included, of which 616 patients (67.8%) were male. 59.5%, 54.5% and 52.2% patients with ICH had poor outcomes (death/disability) at 3, 6 and 12 months, respectively. Stroke severity and stroke-related complications during hospitalization were independently associated with poor outcomes both at 3 and 12 months. In addition, hyperglycemia, hematocrit and blood urea nitrogen on admission were independently associated with poor outcomes at three months. Conclusion: This study found that severity of ICH and stroke-related complications were independent predictors of poor outcomes at three months and one year after ICH. Thereby, it highlights the importance of understanding the role of clinical features in ICH prognostic evaluation.

Acknowledgements

This research was supported by the National Key Technology R&D Programme for the 12th Five-year Plan of Peoples Republic of China [grant number 2011BAI08B05]; National Natural Science Foundation of China [grant number 81371282], [grant number 81400964].

Declaration of Interest

The authors report no conflicts of interest. The authors alone are responsible for content and writing of this paper.

Additional information

Funding

This research was supported by the National Key Technology R&D Programme for the 12th Five-year Plan of Peoples Republic of China [grant number 2011BAI08B05]; National Natural Science Foundation of China [grant number 81371282], [grant number 81400964].

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