Takeda Ririko, Ogura Takeshi, Ooigawa Hidetoshi, Fushihara Goji, Yoshikawa Shin-ichiro, Okada Daisuke, Araki Ryuichiro, Kurita Hiroki
Department of Cerebrovascular Surgery, International Medical Center, Saitama Medical University, Hidaka, Japan.
Clin Neurol Neurosurg. 2013 Jul;115(7):1028-31. doi: 10.1016/j.clineuro.2012.10.016. Epub 2012 Dec 14.
Early hematoma expansion is a known cause of morbidity and mortality in patients with intracerebral hemorrhage (ICH). The goal of this study was to identify clinical predictors of ICH growth in the acute stage.
We studied 201 patients with acute (<6 h) deep ganglionic ICH. Patients underwent CT scan at baseline and hematoma expansion (>33% or >12.5 ml increase) was determined on the second scan performed within 24 h. Fourteen clinical and neuroimaging variables (age, gender, GCS at admission, hypertension, diabetes mellitus, kidney disease, stroke, hemorrhagic, antiplatelet use, anticoagulant use, hematoma density heterogeneity, hematoma shape irregularity, hematoma volume and presence of IVH) were registered. Additionally, blood pressure was registered at initial systolic BP (i-SBP) and systolic BP 1.5 h after admission (1.5 h-SBP). The discriminant value of the hematoma volume and 1.5 h-SBP for hematoma expansion were determined by the receiver operating characteristic (ROC) curves. Factors associated with hematoma expansion were analyzed with multiple logistic regression.
Early hematoma expansion occurred in 15 patients (7.0%). The cut-off value of hematoma volume and 1.5 h-SBP were determined to be 16 ml and 160 mmHg, respectively. Hematoma volume above 16 ml (HV>16) ([OR]=5.05, 95% CI 1.32-21.36, p=0.018), hematoma heterogeneity (HH) ([OR]=7.81, 95% CI 1.91-40.23, p=0.004) and 1.5 h-SBP above 160 mmHg (1.5 h-SBP>160) ([OR]=8.77, 95% CI 2.33-44.56, p=0.001) independently predicted ICH expansion. If those three factors were present, the probability was estimated to be 59%.
The presented model (HV>16, HH, 1.5 h-SBP>160) can be a practical tool for prediction of ICH growth in the acute stage. Further prospective studies are warranted to validate the ability of this model to predict clinical outcome.
早期血肿扩大是脑出血(ICH)患者发病和死亡的已知原因。本研究的目的是确定急性期脑出血增长的临床预测因素。
我们研究了201例急性(<6小时)深部神经节脑出血患者。患者在基线时接受CT扫描,并在24小时内进行的第二次扫描中确定血肿扩大情况(增加>33%或>12.5毫升)。记录了14个临床和神经影像学变量(年龄、性别、入院时格拉斯哥昏迷量表评分、高血压、糖尿病、肾病、中风、出血、使用抗血小板药物、使用抗凝剂、血肿密度异质性、血肿形状不规则性、血肿体积和脑室内出血情况)。此外,记录了初始收缩压(i-SBP)和入院后1.5小时的收缩压(1.5 h-SBP)。通过受试者操作特征(ROC)曲线确定血肿体积和1.5 h-SBP对血肿扩大的判别值。采用多因素logistic回归分析与血肿扩大相关的因素。
15例患者(7.0%)出现早期血肿扩大。血肿体积和1.5 h-SBP的截断值分别确定为16毫升和160毫米汞柱。血肿体积大于16毫升(HV>16)([比值比]=5.05,95%可信区间1.32-21.36,p=0.018)、血肿异质性(HH)([比值比]=7.81,95%可信区间1.91-40.23,p=0.004)和1.5 h-SBP大于160毫米汞柱(1.5 h-SBP>160)([比值比]=8.77,95%可信区间2.33-44.56,p=0.001)独立预测脑出血扩大。如果存在这三个因素,估计概率为59%。
所提出的模型(HV>16、HH、1.5 h-SBP>160)可作为预测急性期脑出血增长的实用工具。需要进一步的前瞻性研究来验证该模型预测临床结局的能力。