Serum Levels of Myo-inositol Predicts Clinical Outcome 1 Year After Aneurysmal Subarachnoid Hemorrhage

医学 蛛网膜下腔出血 格拉斯哥结局量表 内科学 队列 人口 队列研究 接收机工作特性 观察研究 格拉斯哥昏迷指数 外科 环境卫生
作者
Conny Johansson,Lars‐Owe Koskinen,Rickard L. Sjöberg,Peter Lindvall
出处
期刊:Neurosurgery [Lippincott Williams & Wilkins]
卷期号:91 (5): 790-798 被引量:6
标识
DOI:10.1227/neu.0000000000002112
摘要

BACKGROUND: Early prognostication of long-term outcome in patients suffering from spontaneous subarachnoid hemorrhage (SAH) remains a challenge. No biomarkers are routinely used for prognostication. A previous study has indicated that the metabolite myo-inositol (MI) may be used to predict long-term outcome. OBJECTIVE: To investigate if MI measured in serum correlates with long-term clinical outcome in patients suffering from SAH. METHODS: We conducted an observational cohort study including 88 patients treated for SAH at Umeå University Hospital. Serum samples were collected in the hospital, and a gas chromatography/mass spectroscopy method was used to quantitatively measure MI. Patients were assessed after 1 year using the Glasgow Outcome Scale Extended and dichotomized to favorable or unfavorable outcome. Differences in MI levels between the 2 groups were analyzed. RESULTS: There was no difference in MI levels between the groups upon admission. Myo-inositol levels decreased over time in the entire study population. The decrease was significantly larger in the unfavorable outcome group. A receiver operating characteristics analysis yielded an area under the curve of 0.903 (CI 0.8-1.0, P < .001) for the MI value on day 7 to predict favorable outcome after 1 year. CONCLUSION: Myo-inositol measured in serum may aid prognostication of outcome in patients with SAH. The mechanism behind this remains unclear, although it can be theorized to reflect processes leading to delayed cerebral ischemia, which affects long-term outcome. This is the first study to quantitively measure MI in serum for prognostication of outcome in patients with SAH.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
缓慢如南完成签到,获得积分10
刚刚
90发布了新的文献求助20
1秒前
1秒前
优秀星星完成签到,获得积分10
2秒前
2秒前
2秒前
2秒前
3秒前
4秒前
负责书竹完成签到,获得积分10
4秒前
4秒前
打打的应助被HeyJocelyn采纳,获得10
4秒前
Chnp发布了新的文献求助10
4秒前
5秒前
tong完成签到 ,获得积分10
6秒前
赘婿的应助被临暮采纳,获得10
6秒前
6秒前
6秒前
Candice发布了新的文献求助10
6秒前
6秒前
窗子以外发布了新的文献求助10
7秒前
hengheng发布了新的文献求助10
7秒前
仝富贵发布了新的文献求助10
7秒前
xhd183发布了新的文献求助10
7秒前
大个的应助被CX330采纳,获得10
7秒前
wanci的应助被饱满南松采纳,获得10
7秒前
yang的应助被期待采纳,获得10
7秒前
上官若男的应助被yorkson境采纳,获得10
8秒前
8秒前
负责书竹发布了新的文献求助10
8秒前
冷傲的白卉完成签到,获得积分20
8秒前
M8OUT完成签到,获得积分10
8秒前
8秒前
8秒前
8秒前
搜集达人的应助被yishan101采纳,获得10
8秒前
9秒前
顾矜的应助被thchiang采纳,获得10
9秒前
9秒前
令序完成签到,获得积分10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
Atelier, 2nd edition 500
Study of structural arctic steel in a friction pair with ice 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7997588
求助须知:如何正确求助?哪些是违规求助? 9451404
关于积分的说明 21134491
捐赠科研通 7570545
什么是DOI,文献DOI怎么找? 3380173
关于科研通互助平台的介绍 2513416
邀请新用户注册赠送积分活动 2414101