1.Artificial Neural Network Method for Quality Estimation of Traditional Chinese Medicine
Yudong CAI ; Jiawen GONG ; Zhaonian CHENG
Chinese Traditional and Herbal Drugs 1994;0(04):-
An artificial neural network method for quality estimation of traditional Chinese medicine was suggested, and quality of Hou-Po was estimated by the proposed method in comparison with the analytical results of gas-liquid chromatography. The successful rate reached 100%. The results showed that the neural network method is reliable, and therefore may be referred to as an effective technique for the quality estimation of traditional Chinese medicine.
3.Regulatory T cells and Kawasaki disease
Jiawen XU ; Yujia WANG ; Fangqi GONG
International Journal of Pediatrics 2022;49(10):663-667
Kawasaki disease is an acute, systemic vasculitis that easily injures coronary arteries and is the leading cause of acquired heart disease in children.Although the cause of Kawasaki disease remains unknown, it is widely believed that the pathogenesis of Kawasaki disease is an inflammatory cascade caused by a combination of infection and genetic predisposition.Regulatory T cells, which express Foxp3 + , CD4 + and CD25 + , are a T-cell subpopulation specialized in immune suppression.There are some correlations between regulatory T cells and Kawasaki disease in pathophysiology, treatment and prognosis.The dysfunction of regulatory T cells may be involved with the pathogenesis of Kawasaki disease, but there are few researches on it.This article reviews the progress of regulatory T cells in Kawasaki disease in recent years and summarizes the mechanism of regulatory T cells in the occurrence and repair of Kawasaki disease, prospecting the research future of targeted regulatory T cells therapy in the prevention of coronary artery lesions in Kawasaki disease.
4.Risk factors for unfavorable outcomes after recanalization of large vessel occlusion in patients with acute ischemic stroke
Jiawen YIN ; Yuhui CHEN ; Lei XU ; Kunpeng CHEN ; Jun LU ; Juan CHEN ; Jinyu QIAO ; Tao GONG
Chinese Journal of General Practitioners 2023;22(7):710-714
Objective:To analyze risk factors for unfavorable outcomes after recanalization of large vessel occlusion (LVO) in patients with acute ischemic stroke (AIS).Methods:Patients with AIS-LVO who underwent recanalization treatment (including intravenous thrombolysis and endovascular intervention) at the Stroke Unit of Beijing Hospital from August 2018 to January 2022 were consecutively enrolled. According to the modified Rankin Scale (mRS) at 90-day follow-up after recanalization treatment, participants were classified as unfavorable outcomes (mRS>2) and favorable outcomes (mRS≤2). Baseline clinical data of enrolled patients was collected, and step-wise multivariate logistic regression analysis was used to identify independent risk factors for unfavorable outcomes after recanalization in AIS-LVO patients.Results:A total of 212 AIS-LVO patients were enrolled, including 86 females (41.35%), with an average age of 72.9 years. There were 75 patients in the favorable outcome group and 137 patients in the unfavorable outcome group. Compared with the favorable outcome group, the unfavorable outcome group had a higher average age, a higher proportion of females and patients with atrial fibrillation, higher baseline NIHSS, higher systolic blood pressure, and higher blood creatinine and D-dimer levels (all P<0.05). After adjusting for age and atrial fibrillation as confounding factors, multivariate logistic regression analysis showed that female ( OR=2.859, 95% CI: 1.202-6.799, P=0.018), higher baseline NIHSS ( OR=14.417, 95% CI: 6.269-33.158, P<0.001), higher pre-treatment systolic blood pressure ( OR=1.034, 95% CI: 1.015-1.054, P=0.001), higher emergency blood creatinine level ( OR=1.378, 95% CI: 1.105-1.719, P=0.005), and higher D-dimer level ( OR=3.594, 95% CI: 1.290-10.014, P=0.014) were independent risk factors for unfavorable outcomes after recanalization treatment in patients with AIS-LVO. Conclusion:Female, higher NIHSS, higher systolic blood pressure, higher blood creatinine level and D-dimer level are independent risk factors for unfavorable functional outcomes at 90 days after recanalization treatment of large vessel occlusion in patients with acute ischemic stroke.
5.Predictive value of D-dimer for futile recanalization after mechanical thrombectomy in patients with acute ischemic stroke
Qianwen WANG ; Yuhui CHEN ; Jiawen YIN ; Jinyu QIAO ; Peng QI ; Juan CHEN ; Tao GONG
Chinese Journal of General Practitioners 2024;23(3):279-284
Objective:To investigate the predictive value of preoperative D-dimer level for futile recanalization (FR) after mechanical thrombectomy (MT) in patients with acute ischemic stroke (AIS).Methods:It was a nested case-control study. A total of 116 patients with large vessel occlusion (LVO) stroke, who underwent successful recanalization (modified Thrombolysis in Cerebral Infarction, mTICI≥2b) after MT at the Stroke Unit of Beijing Hospital from August 2018 to January 2022,were consecutively enrolled, including 72 males (62.1%) with the age of (72.8±13.1) years. According to the 3-month modified Rankin Scale (mRS) score after MT, patients were divided into the meaningful recanalization group (mRS 0-2, n=41) and the futile recanalization group (mRS 3-6, n=75). The baseline clinical data of enrolled patients was collected. Logistic regression analysis was used to identify the independent risk factors for FR after MT in patients with AIS. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of D-dimer for FR. Results:Multivariate logistic regression analysis showed that high baseline systolic blood pressure (SBP) ( OR=1.038, 95% CI: 1.012-1.065, P=0.004), baseline National Institutes of Health Stroke Scale (NIHSS) score≥12 ( OR=10.157, 95% CI: 3.624-28.470, P<0.001) and high preoperative D-dimer level ( OR=4.536, 95% CI: 1.379-14.922, P=0.013) were independent predictors of FR after MT in AIS patients with LVO. ROC curve analysis indicated a good predictive value of preoperative D-dimer for the occurrence of FR ( AUC=0.733, 95% CI: 0.638-0.829, P<0.05), the optimal cut-off value of D-dimer was 2.65 μg/L(Lg), with the Youden index, sensitivity, specificity and accuracy of 0.435, 53.3%, 90.2% and 66.4%, respectively. Conclusion:High preoperative D-dimer level is an independent predictor of futile recanalization after MT in AIS patients with LVO, which shows good predictive ability for futile recanalization.