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. 2019 Dec 13;9:19054. doi: 10.1038/s41598-019-55610-z

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Kaplan-Meier curve and Cox regression analysis of different glycemic levels for survival. (A–C) Kaplan-Meier curve (log-rank test) demonstrated that there were significant differences among three survival curves of FBG (P < 0.001, HR (fair/perfect) = 3.01, HR (poor/perfect) = 6.81) and RBG (P < 0.001, HR (fair/perfect) = 2.56, HR (poor/perfect) = 5.66), but no significant difference among three survival curves of HbA1c (P = 0.893); (D–F). Cox regression analysis demonstrated that there were still significant differences among three survival curves of FBG (P = 0.042) and RBG (P < 0.001) when adjusted for gender, age, history of hypertension, diabetes mellitus, history of dyslipidemia, anticoagulant or antiplatelet therapy, smoking, drinking, BMI, baseline systolic blood pressure, GCS score, NIHSS score, baseline hematoma location and volume, intraventricular extension, surgical treatment, pre-stroke and post-stroke anti-hyperglycemic therapy.