Nomogram to predict hemorrhagic transformation for acute ischemic stroke in Western China: a retrospective analysis

作者全名："Zhang, Keming; Luan, Jianfang; Li, Changqing; Chen, Mingli"

作者地址："[Zhang, Keming] Chongqing Med & Pharmaceut Coll, Sch Clin Med, Chongqing, Peoples R China; [Luan, Jianfang; Chen, Mingli] Chongqing Sanbo Changan Hosp, Dept Neurol, 65 Jianxin East Rd, Chongqing 400023, Peoples R China; [Li, Changqing] Chongqing Med Univ, Affiliated Hosp 2, Dept Neurol, Chongqing, Peoples R China"

通信作者："Chen, ML (通讯作者)，Chongqing Sanbo Changan Hosp, Dept Neurol, 65 Jianxin East Rd, Chongqing 400023, Peoples R China."

来源：BMC NEUROLOGY

ESI学科分类：NEUROSCIENCE & BEHAVIOR

WOS号：WOS:000787309400002

JCR分区：Q2

影响因子：2.6

年份：2022

卷号：22

期号：1

开始页：　

结束页：　

文献类型：Article

关键词：Hemorrhagic transformation; Acute ischemic stroke; Nomogram; NIHSS; Thrombolysis

摘要："Background and purpose Hemorrhagic transformation (HT) is the most alarming complication of acute ischemic stroke. We aimed to identify risk factors for HT in Chinese patients and attempted to develop a nomogram to predict individual cases. Methods A retrospective study was used to collect the demographic and clinical characteristics of ischemic stroke patients at the Second Affiliated Hospital of Chongqing Medical University (development cohort) and Chongqing Sanbo Changan Hospital (validation cohort) from October 2013 to August 2020. Univariate analysis and multivariate analysis were used to identify the risk factors of patients in the development cohort. The nomogram was generated, and internal validation was performed. We used the area under the receiver-operating characteristic curve (AUC-ROC) to assess the discrimination and used the Hosmer-Lemeshow test to calibrate the model. To further verify the predictability and accuracy of the model, we performed an external validation of the patients in the validation cohort. Results A total of 570 patients were used to generate the nomogram. After univariate analysis and multivariate logistic regression, the remaining 7 variables (diabetes mellitus, atrial fibrillation, total cholesterol, fibrous protein, cerebral infarction area, NIHSS score and onset-to-treatment) were independent predictors of HT and used to compose the nomogram. The area under the receiver-operating characteristic curve of the model was 0.889 (95% CI, 0.841-0.938), and the calibration was good (P = 0.487 for the Hosmer-Lemeshow test). The model was validated externally with an AUC-ROC value of 0.832 (95% CI, 0.727-0.938). Conclusions The nomogram prediction model in this study has good predictive ability, accuracy and discrimination, which can improve the diagnostic efficiency of HT in patients with acute ischemic stroke."

基金机构："Science Foundation of Chongqing Science and Technology Commission, China [cstc2020jcyj-msxmX0313]"

基金资助正文："This work was supported by a grant from Science Foundation of Chongqing Science and Technology Commission, China (Grant No. cstc2020jcyj-msxmX0313)."