目的:分析影响自发性脑出血患者血肿吸收速度相关因素,提出脑出血血肿吸收速度模型,协助临床医师进行脑出血患者住院时间的判断。方法回顾性分析178例脑出血患者的病史、入院时生命体征、影像学和实验室检查结果,根据血肿吸收的速度将患者分为两组:血肿吸收慢组(R〈0.67 ml/d)、血肿吸收快组(R≥0.67 ml/d),应用单因素分析及Logistic多元回归分析,探讨影响自发性脑出血血肿吸收速度的因素。结果单因素分析显示下列因素与血肿吸收速度显著相关:年龄、糖尿病病史、入院时空腹血糖水平、糖化血红蛋白及胆固醇水平、出血体积、出血部位、破入脑室、中线移位、Glasgow 昏迷指数、NIHSS评分。Logistic多元回归分析结果显示:出血体积、Glasgow昏迷指数、糖化血红蛋白与血肿吸收速度明显相关。进而,构建血肿吸收速度预测模型,该模型预测吸收慢(R〈0.67 ml/d)敏感性88.2%,特异性89.8%。结论出血体积、Glasgow昏迷指数、糖化血红蛋白可用于预测脑出血患者血肿吸收快慢,该预测模型对于急性脑出血血肿吸收速度具有一定的预测效能。
Objective To investigate the clinical characteristics affecting the hematoma absorption rate of spontaneous intracerebral hemorrhage (ICH) and develop a hematoma absorption rate prediction model to predict the hematoma absorption rate of ICH. Methods The clinical data of 178 patients were collected. All the patients were divided into two groups: fast absorption rate group (R〈0.67 ml/d) and low absorption rate group (R≥0.67 ml/d). The clinical characteristics of 178 cases with spontaneous intracerebral hemorrhage were analyzed with single factor and Logistic regression analyses. Results Age, diabetes, blood glucose levels, glycosylated hemoglobin levels, Serum cholesterol levels, amount of hemorrhage, bleeding site, with or without midline shift, Glasgow conla scale, NIHSS score were analyzed for the correlation with the hematoma absorption rate of patients. Logistic regression analysis showed that amount of hemorrhage, Glasgow conla scale, glycosylated hemoglobin levels were independent low absorption rate factors for cerebral hemorrhage. Hematoma absorption rate prediction model including this three factors above to predict the hematoma absorption rate of ICH. The sensitivity of this model was 88.2%, and the specificity was 89.8%. Conclusion Amount of hemorrhage, Glasgow conla scale and glycosylated hemoglobin levels may be used to predict the hematoma absorption rate of cerebral hemorrhage.