中外医学研究2026，Vol.24Issue(10)：25-29,5.DOI:10.14033/j.cnki.cfmr.2026.10.006
基于CT诺模图预测高血压脑出血血肿增大的研究
Study on CT-Based Nomogram for Predicting Hematoma Expansion in Hypertensive Intracerebral Hemorrhage
摘要
Abstract
Objective:To investigate the value of a nomogram based on clinical features and non-contrast computed tomography(NCCT)imaging features for hematoma expansion(HE)prediction in hypertensive intracerebral hemorrhage.Method:A retrospective analysis was conducted on the clinical data and non-contrast computed tomography(NCCT)scans of 248 patients with acute early-stage hypertensive intracerebral hemorrhage admitted to Shaoguan First People's Hospital from December 2018 to June 2024.All underwent initial cranial NCCT within 24 hours and follow-up NCCT within 24 hours of symptom onset,and were divided into HE group(n=84)and non-HE group(n=164).Univariate plus multivariate logistic regression tests were performed to screen out various risk factors,and a nomogram prediction model was established accordingly.The predictive performance of the model was estimated from ROC curves and area under curve(AUC).Calibration curves were plotted in order to obtain the agreement between predicted probabilities and actual probabilities to measure predictions.Result:Alcohol consumption history,irregular hematoma shape,island sign and mixed density sign were independent risk factors for HE(P<0.05).The nomogram had good discrimination(AUC=0.858,95%CI:0.802-0.914)and satisfactory calibration/stability(Hosmer-Lemeshow test:字2=4.263,P=0.898).Conclusion:The individualized nomogram based on clinical and NCCT features can effectively predict HE risk in hypertensive intracerebral hemorrhage.关键词
高血压脑出血/血肿增大/计算机体层摄影术/诺模图Key words
Hypertensive intracerebral hemorrhage/Hematoma expansion/Computed tomography imaging/Nomograph引用本文复制引用
陈龙,郭强,王康,林文聪,陈文坚,何宁波..基于CT诺模图预测高血压脑出血血肿增大的研究[J].中外医学研究,2026,24(10):25-29,5.基金项目
韶关市科技局高水平医院建设科研项目(220527084530221) （220527084530221）
