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作 者:钱煜[1] 包磊[1] 陈明迪 QIAN Yu;BAO Lei;CHEM Ming-di(Department ofIntensiveCareUnit,Jingjiang People's Hospital,Jiang su,214500)
机构地区:[1]江苏省靖江市人民医院重症医学科,214500
出 处:《岭南急诊医学杂志》2021年第6期600-602,613,共4页Lingnan Journal of Emergency Medicine
摘 要:目的:根据临床及影像学指标建立一种自发性颅内出血的简易预后预测模型。方法:收集靖江市人民医院影像学及临床资料。应用发病后30天改良Rankin评分判断患者预后。运用单因素和多因素logistic回归分析判断神经系统不良预后的危险因素。结果:共95例患者纳入本研究,多因素logistic回归分析显示年龄,基础GCS评分,入院时出血量,CT混合征是自发性脑出血患者预后不良的独立危险因素。结论:该预测模型可以准确预测自发性颅内出血患者预后,具有广泛的临床应用前景。Objective:To establish a simple model for predicting the outcome according to the clinical and computed tomography(CT)image data of patients with spontaneous intracerebral hemorrhage(sICH).Methods:The clinical and CT image data of the patients with sICH in Jingjiang People’s Hospital were collected.The functional outcome was assessed by using the modified Rankin Scale(mRS)at 30 days.The risk factors related to the poor outcome of the patients were determined by univariate and multivariate logistic regression analysis.Results:A total of 95 patients were included in our study.The multivariate logistic regression analysis demonstrated that age,baseline Glasgow Coma Score(GCS),initial hematoma volume,and presence of blend sign on baseline CT scan to be independent predictors of poor outcome.Conclusion:This predictive model might accurately predict the outcome of patients with sICH.It might have a wide range of application prospects in clinical.
分 类 号:R743.34[医药卫生—神经病学与精神病学]
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