日本非手术脑出血患者的功能预后预测:FSR ICH评分。

IF 2.2 3区 医学 Q3 CLINICAL NEUROLOGY
Takuya Kiyohara, Ryu Matsuo, Fumi Irie, Kuniyuki Nakamura, Jun Hata, Yoshinobu Wakisaka, Takanari Kitazono, Masahiro Kamouchi, Tetsuro Ago
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引用次数: 0

摘要

导论:目前对非手术性脑出血(ICH)患者急性期功能预后的预测研究有限。本研究的目的是建立一种非手术脑出血患者自然病程的风险预测模型,并通过日本卒中患者的多中心医院前瞻性研究来评估其表现。方法:对1017例急性脑出血患者(平均年龄68岁)进行保守治疗,随访3个月。研究结果为脑出血发作后3个月的功能预后差(改良Rankin量表评分,4-6)。为了建立非手术脑出血患者自然病程的风险预测模型,我们在脑出血的日常临床实践中纳入了以下入院时评估的临床常见因素:年龄、性别、病史(高血压、糖尿病、血脂异常、卒中前痴呆、卒中史、冠状动脉疾病、吸烟、饮酒、口服抗凝、抗血小板药物)、入院情况(发病至入院时间、收缩压、舒张压、脉压、血糖水平、卒中严重程度)、神经影像学资料(脑出血部位、脑室内出血、血肿量)。采用logistic回归分析建立功能不良预后风险预测模型。此外,使用Framingham心脏研究中的方法将风险预测模型转化为基于点的简单风险评分(FSR ICH评分)。结果:脑出血发病3个月后,323例(31.8%)患者出现功能不良。风险预测模型包括年龄、糖尿病、卒中前痴呆、入院时NIHSS评分、脑室内出血和血肿体积。该模型具有很好的判别性(C统计量=0.884[95%置信区间,0.863-0.905];基于200个bootstrap样本的乐观校正C统计量=0.877)和校准(Hosmer-Lemeshow拟合优度检验:P=0.72)。FSR ICH评分,一种基于点的简单风险评分,也显示出很好的辨别能力,C统计量为0.882 (95% CI: 0.861-0.903)。结论:我们在日本开展了一项基于多中心医院的前瞻性研究,为非手术性脑出血患者3个月功能不良预后建立了一种新的风险预测模型。目前的风险预测模型有可能成为评估非手术脑出血患者自然病程的有用工具,有助于制定治疗决策,包括手术选择、早期制定康复计划和有效利用医疗资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional Outcome Prediction in Japanese Patients with Nonsurgical Intracerebral Hemorrhage: The FSR ICH Score.

Introduction: There has been limited research on predicting the functional prognosis of patients with nonsurgical intracerebral hemorrhage (ICH) from the acute stage. The aim of this study was to develop a risk prediction model for the natural course in patients with nonsurgical ICH and to evaluate its performance using a multicenter hospital-based prospective study of stroke patients in Japan.

Methods: We consecutively registered a total of 1,017 patients with acute ICH (mean age, 68 years) who underwent conservative treatment and followed them up for 3 months. The study outcome was a poor functional outcome (modified Rankin Scale score, 4-6) at 3 months after ICH onset. To develop the risk prediction model for natural course in patients with nonsurgical ICH, we included the following clinical common factors assessed on admission in daily clinical practice for ICH: age, sex, medical history (hypertension, diabetes mellitus, dyslipidemia, pre-stroke dementia, previous stroke, coronary artery disease, smoking status, alcohol drinking status, oral anticoagulation, and antiplatelet medication), admission status (time from onset to admission, systolic blood pressure, diastolic blood pressure, pulse pressure, plasma glucose levels, severity of the stroke), and neuroradiologic data (ICH location, intraventricular hemorrhage, and hematoma volume). The risk prediction model for poor functional outcome was developed using logistic regression analysis. In addition, the risk prediction model was translated into a point-based simple risk score (FSR ICH score) using the approach in the Framingham Heart Study.

Results: At 3 months after the ICH onset, 323 (31.8%) patients developed a poor functional outcome. Age, diabetes mellitus, pre-stroke dementia, NIHSS score on admission, intraventricular hemorrhage, and hematoma volume were included in the risk prediction model. This model demonstrated excellent discrimination (C statistic = 0.884 [95% confidence interval, 0.863-0.905]; optimism-corrected C statistic based on 200 bootstrap samples = 0.877) and calibration (Hosmer-Lemeshow goodness-of-fit test: p = 0.72). The FSR ICH score, a point-based simple risk score, also showed excellent discrimination, with a C statistic of 0.882 (95% CI: 0.861-0.903).

Conclusions: We developed a new risk prediction model for 3-month poor functional outcome in patients with nonsurgical ICH using a multicenter hospital-based prospective study in Japan. The current risk prediction model has the potential to be a useful tool for estimating the natural course in patients with nonsurgical ICH, aiding in making treatment decisions, including surgical options, early formulation of rehabilitation plans, and efficient utilization of medical resources.

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来源期刊
Cerebrovascular Diseases
Cerebrovascular Diseases 医学-临床神经学
CiteScore
4.50
自引率
0.00%
发文量
90
审稿时长
1 months
期刊介绍: A rapidly-growing field, stroke and cerebrovascular research is unique in that it involves a variety of specialties such as neurology, internal medicine, surgery, radiology, epidemiology, cardiology, hematology, psychology and rehabilitation. ''Cerebrovascular Diseases'' is an international forum which meets the growing need for sophisticated, up-to-date scientific information on clinical data, diagnostic testing, and therapeutic issues, dealing with all aspects of stroke and cerebrovascular diseases. It contains original contributions, reviews of selected topics and clinical investigative studies, recent meeting reports and work-in-progress as well as discussions on controversial issues. All aspects related to clinical advances are considered, while purely experimental work appears if directly relevant to clinical issues.
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