1.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
Background:
and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking.
Methods:
This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance.
Results:
Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal.
Conclusions
The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.
2.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
Background:
and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking.
Methods:
This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance.
Results:
Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal.
Conclusions
The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.
3.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
Background:
and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking.
Methods:
This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance.
Results:
Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal.
Conclusions
The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.
4.Establishment of a standardized management model for postoperative anti-osteoporosis medication in patients with brittle fractures
Hao LIU ; Yinglin YANG ; Le CAI ; Shu LI ; Man ZHU ; Mengli CHEN
China Pharmacy 2025;36(15):1926-1930
OBJECTIVE To investigate the establishment and promotion of a new standardized management model for anti- osteoporosis medication after fragility fracture surgery by resident clinical pharmacists, and provide references for resident pharmacists to carry out clinical pharmaceutical services. METHODS From July 2023 to March 2024,595 post-brittle fracture surgery patients were enrolled. Using the PDCA (plan-do-check-act) cycle,resident clinical pharmacists identified issues and conducted investigations in clinical practice. Through integrating clinical pharmacist intervention services before, during and after treatment, a medication treatment pathway was developed, thereby establishing a standardized management model for anti- osteoporosis treatment following fragility fracture surgery. Leveraging the National Brittle Fracture Big Data Platform (under the National Clinical Research Center for Orthopedics and Sports Rehabilitation), a dedicated data module was constructed, providing big data support to evaluate the efficacy of this pharmaceutical care model. RESULTS Continuous PDCA cycle driven improvements significantly increased the proportion of osteoporosis diagnosis (from 9% before intervention to 81%) and proportion of drug treatment (from 4% to 75%).The proportions of bone density and bone metabolism testing also rose markedly,positively impacting long-term patient outcomes. CONCLUSIONS The establishment of a standardized management model for anti- osteoporosis treatment following fragility fracture surgery by resident clinical pharmacists has enhanced clinicians’ diagnostic and therapeutic capabilities for osteoporosis, ensures rational medication use in osteoporosis patients, and demonstrates significant potential for widespread adoption and application.
5.Reference ranges of cardiac size and morphology for low-risk fetuses at 28-39 gestational weeks based on two-dimensional speckle tracking technique
Chen ZHU ; Cheng-Jie XU ; Rui LIU ; Man LI ; Yu XIONG ; Jin-Lian XIANG ; Yun-Yun REN
Fudan University Journal of Medical Sciences 2024;51(1):41-49
Objective To construct reference ranges of cardiac size and morphologic parameters in low-risk fetuses at 28-39 gestational weeks using two-dimensional speckle tracking technique.Methods A prospective collection of 453 low-risk singleton pregnancies with echocardiography at Obstetrics and Gynecology Hospital,Fudan University was used to assess the size(length,width,and area)and morphology(sphericity index,i.e.,the ratio of length to width)of the fetal four-chamber view and two ventricles using two-dimensional speckle tracking technique.Repeated inter-and intra-observer agreement of measurements was assessed using the intraclass correlation coefficients(ICCs).Statistical analysis of cardiac measurement parameters was performed to establish reference ranges of values for cardiac size and morphology in low-risk fetuses.Results The inter-and intra-group ICCs for reproducibility tests of fetal cardiac parameters measurements were 0.691 to 0.980.Fetal four-chamber view and ventricular size increased with gestational week(all P<0.001),the end-diastolic length of the left ventricle was larger than that of the right ventricle,and the end-diastolic diameter was smaller than that of the right ventricle(both P<0.001),while there was no significant difference in the end-diastolic area of the two ventricles(P= 0.050).The spherical index of four-chamber view did not correlate with gestational week(P=0.811).The sphericity index of the basal and intermediate segments of the left ventricle was greater than that of the right ventricle,and the sphericity index of the apical segment was less than that of the right ventricle,the differences were statistically significant(all P<0.01).Conclusion The two-dimensional speckle tracking technique for measuring fetal cardiac parameters has good reproducibility.The reference ranges for cardiac size and morphology in low-risk fetuses developed in this study will be useful for prenatal evaluation of cardiac remodeling.
6.Establishment and validation of the Sprague-Dawley rat model of osteoarthritis with kidney deficiency and blood stagnation
Cheng YANG ; Yusheng LI ; Hongzhuo JIAO ; Man SHANG ; Qi LIU ; Linzhen LI ; Fangyang FAN ; Chenglong ZHANG ; Xiaoyu ZHANG ; Juntao ZHANG
Chinese Journal of Tissue Engineering Research 2024;28(27):4273-4280
BACKGROUND:Kidney deficiency and blood stasis syndrome are common traditional Chinese medicine syndromes observed in knee osteoarthritis,which serve as fundamental pathogenesis factors.There exists a significant connection between the two.Previous studies have demonstrated that kidney deficiency and blood stasis syndrome effectively contribute to knee joint cartilage degeneration and the progression of knee osteoarthritis.However,the mechanisms underlying the promotion of knee joint cartilage damage remain unclear and require further investigation. OBJECTIVE:To investigate the influence of kidney deficiency and blood stasis syndrome on the progression of knee osteoarthritis in Sprague-Dawley rats. METHODS:Sixteen Sprague-Dawley rats were randomly divided into two groups:a model observation group and a control group,with eight rats in each group.Animal models of kidney deficiency were induced by ovary removal in the model observation group,while the control group was given a sham procedure for ovarian removal.Two months after modeling,both groups underwent modified HULTH surgery to induce knee osteoarthritis.One week after modified HULTH surgery,the model observation group was subcutaneously given adrenaline hydrochloride to make blood stasis models,while the control group was subcutaneously given normal saline.At the 5th week after modified HULTH surgery,blood rheology,coagulation parameters,triiodothyronine,tetraiodothyronine,and estradiol levels were measured.Knee joint X-ray images were taken,and knee joint sections were stained with safranin O-fast green,hematoxylin-eosin,and immunohistochemistry. RESULTS AND CONCLUSION:Compared with the control group,the model observation group exhibited significant increases in whole blood viscosity at low,medium,and high shear rates,as well as increased plasma viscosity.Fibronectin levels in the coagulation parameters were significantly increased,while prothrombin time and activated partial thromboplastin time were significantly decreased.Triiodothyronine,tetraiodothyronine,and estradiol levels were all significantly decreased.Radiographic results showed that the model observation group exhibited more severe degree of knee joint space narrowing and surface roughness,with the appearance of high-density shadows.Hematoxylin-eosin and safranin O-fast green staining demonstrated more severe cartilage damage in the model observation group,with significantly higher OARSI and Mankin scores compared with the control group.Compared with the control group,immunohistochemistry results showed a significant reduction in the expression of extracellular matrix type II collagen and aggrecan protein in the cartilage of the model observation group rats.Moreover,there was a significant increase in the expression of matrix metalloproteinase 13 and aggrecanase 5,which are inflammatory factors.These results indicate that the Sprague-Dawley rat model of knee osteoarthritis with kidney deficiency and blood stasis was successfully established.Kidney deficiency and blood stasis syndrome further aggravate cartilage extracellular matrix degradation and cartilage degeneration by promoting the expression of inflammatory factors,thereby promoting the progression of knee osteoarthritis in rats.
7.Inflammatory and Immunomodulatory Effects of Tripterygium wilfordii Multiglycoside in Mouse Models of Psoriasis Keratinocytes.
Shuo ZHANG ; Hong-Jin LI ; Chun-Mei YANG ; Liu LIU ; Xiao-Ying SUN ; Jiao WANG ; Si-Ting CHEN ; Yi LU ; Man-Qi HU ; Ge YAN ; Ya-Qiong ZHOU ; Xiao MIAO ; Xin LI ; Bin LI
Chinese journal of integrative medicine 2024;30(3):222-229
OBJECTIVE:
To determine the role of Tripterygium wilfordii multiglycoside (TGW) in the treatment of psoriatic dermatitis from a cellular immunological perspective.
METHODS:
Mouse models of psoriatic dermatitis were established by imiquimod (IMQ). Twelve male BALB/c mice were assigned to IMQ or IMQ+TGW groups according to a random number table. Histopathological changes in vivo were assessed by hematoxylin and eosin staining. Ratios of immune cells and cytokines in mice, as well as PAM212 cell proliferation in vitro were assessed by flow cytometry. Pro-inflammatory cytokine expression was determined using reverse transcription quantitative polymerase chain reaction.
RESULTS:
TGW significantly ameliorated the severity of IMQ-induced psoriasis-like mouse skin lesions and restrained the activation of CD45+ cells, neutrophils and T lymphocytes (all P<0.01). Moreover, TGW significantly attenuated keratinocytes (KCs) proliferation and downregulated the mRNA levels of inflammatory cytokines including interleukin (IL)-17A, IL-23, tumor necrosis factor α, and chemokine (C-X-C motif) ligand 1 (P<0.01 or P<0.05). Furthermore, it reduced the number of γ δ T17 cells in skin lesion of mice and draining lymph nodes (P<0.01).
CONCLUSIONS
TGW improved psoriasis-like inflammation by inhibiting KCs proliferation, as well as the associated immune cells and cytokine expression. It inhibited IL-17 secretion from γ δ T cells, which improved the immune-inflammatory microenvironment of psoriasis.
Male
;
Animals
;
Mice
;
Tripterygium
;
Psoriasis/drug therapy*
;
Keratinocytes
;
Skin Diseases/metabolism*
;
Cytokines/metabolism*
;
Imiquimod/metabolism*
;
Dermatitis/pathology*
;
Disease Models, Animal
;
Mice, Inbred BALB C
;
Skin/metabolism*
8.Specific DNA barcodes screening, germplasm resource identification, and genetic diversity analysis of Platycodon grandiflorum
Xin WANG ; Yue SHI ; Jin-hui MAN ; Yu-ying HUANG ; Xiao-qin ZHANG ; Ke-lu AN ; Gao-jie HE ; Zi-qi LIU ; Fan-yuan GUAN ; Yu-yan ZHENG ; Xiao-hui WANG ; Sheng-li WEI
Acta Pharmaceutica Sinica 2024;59(1):243-252
Platycodonis Radix is the dry root of
9.Effects of miR-4531/CX3CL1 signaling pathway on the vascular injury in preeclampsia in vitro
Man WANG ; Jun LI ; Hang LI ; Qing SONG ; Yan LIU ; Haili WANG ; Xiao WANG ; Qunxian CHENG ; Zheng HU ; Ling XU
Chinese Journal of Clinical Medicine 2024;31(6):868-874
Objective To investigate the effects of miR-
10.Survival analysis and compliance nomogram model construction of patients with non-small cell lung cancer over 65 years old after chemotherapy
Man ZHANG ; Peng SHEN ; Chenglong LI ; Yan LIU
Shanghai Journal of Preventive Medicine 2024;36(5):475-481
ObjectiveTo explore the risk factors and survival analysis of chemotherapy compliance in ≥65 years old patients with non-small cell lung cancer. MethodsFrom December 2018 to August 2020, 110 patients with non-small cell lung cancer ≥65 years old in our hospital were selected for study. According to their chemotherapy compliance, the patients were divided into untreated (25 cases), partial chemotherapy (30 cases) and full chemotherapy (55 cases). Multivariate Cox regression was used to analyze the independent risk factors affecting the compliance of chemotherapy among the three groups, and constructed a column chart prediction model and evaluated the diagnostic effectiveness of the model using receiver operating characteristic (ROC) curves, calibration curves, and clinical decision curves. The patients were followed up until August 2023. Kaplan-Meyer survival curve and Log-rank test were used to compare the differences in survival time between the groups. ResultsThere were significant differences among the three groups in gender, long-term smoking history, education level, Charlson complication index, toxic and side effects of chemotherapy drugs and dosage, pathological type, operation mode, place of residence, payment mode, chemotherapy stage, white blood cell count and neutrophils (P<0.05). Multivariate Cox analysis showed that patients' education level, pathological TNM stage, toxic and side effects of chemotherapy drugs and dosage, operation mode, residence, payment mode and chemotherapy stage were independent risk factors affecting chemotherapy compliance of patients with non-small cell lung cancer (all P<0.05). There were significant differences in the survival rates between the non-chemotherapy group and the full chemotherapy group, and between the partial chemotherapy group and the full chemotherapy group (P<0.05), but there was no significant difference between the non-chemotherapy group and the partial chemotherapy group (P>0.05). And based on this, a prediction model was constructed, and the ROC curve was drawn to show that the AUC of the model was 0.758 (95%CI: 0.743‒0.855), the sensitivity was 0.788, and the specificity was 0.853, indicating that the model had high discrimination, the calibration curve indicated that the prediction model had good accuracy, the clinical decision curve indicated that the predictive model had strong clinical practicality. ConclusionNSCLC tends to occur in the elderly. We should focus on the patients with low educational level, late pathological TNM stage, severe toxicity and side effects, high dose of chemotherapy drugs, having undergone open chest surgery, living in rural areas, without medical insurance, and in the period of chemotherapy consolidation and refractory relapse, so as to improve their compliance with chemotherapy.

Result Analysis
Print
Save
E-mail