Non-fasting Glucose Level at Admission Associated with Outcomes in Cerebral Venous Thrombosis

Author:

Cheawprasit Passara1,Mitarnun Witoon1ORCID

Affiliation:

1. Department of Internal Medicine, Buriram Hospital, Buriram, Thailand

Abstract

Background and Purpose Cerebral venous thrombosis (CVT) is a rare form of stroke. The objective of this study was to investigate the characteristics, outcomes, and prognostic factors of CVT patients. Methods This is a five-year retrospective study of CVT patients admitted to our Hospital from April 2016 to April 2021. Medical records were accessed to confirm the diagnosis and obtain the clinical, imaging, laboratory, and treatment data. Further, outcomes of the patients at three months were collected. Binary logistic regression was used to analyse the prognostic factors. Results Seventy-three patients with CVT were analysed (35.6% male; mean age, 44.3 years). A poor outcome (modified Rankin scale score, 3–6) was 17.8% of patients, and mortality was 10.9%. Factors associated with poor outcomes in all patients with CVT included the duration of presenting symptoms <24 hours (OR: 3.95, 95% CI: 1.13–13.82), age ≥ 50 years (OR: 8.12, 95% CI: 2.16–30.71), a non-fasting glucose level of ≥ 200 mg/dL (OR: 9.58, 95% CI: 1.90–48.25), impaired consciousness (Glasgow coma scale score, 3–8) (OR: 5.63, 95% CI: 1.39–22.81), male sex (OR: 3.73, 95% CI: 1.07–12.98), and brain herniation (midline shift ≥ 5 mm) (OR: 8.75, 95% CI: 1.94–39.57). Headache and use of an oral contraceptive pill were associated with good outcomes in all of the patients. Conclusion The non-fasting glucose level, a modifiable prognostic factor, exhibited the highest correlation with poor outcomes in CVT patients.

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3