医学
脑出血
格拉斯哥昏迷指数
脑室出血
改良兰金量表
血肿
接收机工作特性
自发性脑出血
内科学
麻醉
外科
缺血性中风
胎龄
怀孕
缺血
生物
遗传学
作者
Natasha Ironside,Ching‐Jen Chen,Victoria Dreyer,Brandon R. Christophe,Thomas J. Buell,E. Sander Connolly
标识
DOI:10.1177/1747493019830589
摘要
Background and objective Functional outcome after spontaneous intracerebral hemorrhage (ICH) may vary depending on hematoma volume and location. We assessed the interaction between hematoma volume and location, and modified the original ICH score to include such an interaction. Methods Consecutive ICH patients were enrolled in the Intracerebral Hemorrhage Outcomes Project from 2009 to 2017. Inclusion criteria were age≥18 years, baseline modified Rankin Scale (mRS) score 0–2, neuroimaging, and follow-up. Functional dependence and mortality were defined as 90-day mRS>2 and death, respectively. A location ICH score was developed using multivariable regression and area under the receiver operator characteristic curve (AUROC) analyses. Results The study cohort comprised 311 patients, and the derivation and validation cohorts comprised 209 and 102 patients, respectively. Interactions between hematoma volume and location predicted functional dependence ( p = 0.008) and mortality ( p = 0.025). The location ICH score comprised age≥80 years (1 point), Glasgow Coma Scale score (3–9 = 2 points; 10–13 = 1 point), volume–location (lobar:≥24 mL=2 points, 21–24 mL=1 point; deep:≥8 mL=2 points, 7–8 mL=1 point; brainstem:≥6 mL=2 points, 3–6 mL=1 point; cerebellum:≥24 mL=2 points, 12–24 mL=1 point), and intraventricular hemorrhage (1 point). AUROC of the location ICH score was higher in functional dependence (0.883 vs. 0.770, p = 0.002) but not mortality (0.838 vs. 0.841, p = 0.918) discrimination compared to the original ICH score. Conclusions The interaction between hematoma volume and location exerted an independent effect on outcomes. Excellent discrimination of functional dependence and mortality was observed with incorporation of location-specific volume thresholds into a prediction model. Therefore, the volume–location relationship plays an important role in ICH outcome prediction.
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