Value of Multimodal Ultrasonography Combined with Clinical Indicators in Predicting the Progression of Ischemic Stroke
10.12259/j.issn.2095-610X.S20240325
- VernacularTitle:多模态超声影像联合临床指标预测缺血性脑卒中进展价值
- Author:
Li DONG
1
;
Rongping NING
;
Qiongyi XIAO
Author Information
1. 云南省第三人民医院超声医学影像科,云南 昆明 650011
- Keywords:
Multimodal ultrasound image;
Clinical index;
Carotid artery plaque;
Ischemic stroke;
Neurological impairment;
Quantitative parameter
- From:
Journal of Kunming Medical University
2024;45(3):166-173
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the clinical value of multimodal ultrasonography combined with clinical indicators in predicting the progression of ischemic stroke(IS).Methods A total of 134 patients with IS admitted to Third People's Hospital of Yunnan Province from January 2020 to October 2022 were selected as study objects and were divided into progressive ischemic stroke(PIS)group(n=20)and non-progressive ischemic stroke(NPIS)group(n=114)according to the National Institutes of Health Stroke Scale(NIHSS)score.The clinical indicators,multi-modal ultrasonic image manifestations and related parameters of the two groups were counted,the influencing factors of PIS were screened by Logistics,the nomogram model was drawn,and the predictive efficiency of the nomogram model was evaluated by ROC curve and calibration curve.Results There were significant differences in age,baseline nutritional risk index(GNRI)score,baseline homocysteine(Hcy)and baseline uric acid(UA)between the two groups(P<0.05).The peak time(TTP),peak intensity(PI),the area under the curve(AUC),carotid plaque enhancement mode,the mean value of maximum elastic modulus(MEmax)and mean value of minimum elastic modulus(MEmin)were compared between the two groups,and the differences were statistically significant(P<0.05).Logistic analysis showed that baseline GNRI score,baseline UA,TTP,PI,AUCTC,carotid plaque enhancement pattern,MEmax and MEmin were the influencing factors of PIS(P<0.05).Based on the above factors,the nomogram model was drawn.ROC curve and calibration curve showed that the model had good prediction efficiency,and the prediction efficiency was in good agreement with the reality.Conclusion The influencing factors of PIS include baseline GNRI score,baseline UA,TTP,PI,AUCTC,carotid plaque enhancement pattern,MEmax,MEmin,and the neagram model based on the above factors has good differentiation and accuracy.
