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.A Study of Flow Sorting Lymphocyte Subsets to Detect Epstein-Barr Virus Reactivation in Patients with Hematological Malignancies.
Hui-Ying LI ; Shen-Hao LIU ; Fang-Tong LIU ; Kai-Wen TAN ; Zi-Hao WANG ; Han-Yu CAO ; Si-Man HUANG ; Chao-Ling WAN ; Hai-Ping DAI ; Sheng-Li XUE ; Lian BAI
Journal of Experimental Hematology 2025;33(5):1468-1475
OBJECTIVE:
To analyze the Epstein-Barr virus (EBV) load in different lymphocyte subsets, as well as clinical characteristics and outcomes in patients with hematologic malignancies experiencing EBV reactivation.
METHODS:
Peripheral blood samples from patients were collected. B, T, and NK cells were isolated sorting with magnetic beads by flow cytometry. The EBV load in each subset was quantitated by real-time quantitative polymerase chain reaction (RT-qPCR). Clinical data were colleted from electronic medical records. Survival status was followed up through outpatient visits and telephone calls. Statistical analyses were performed using SPSS 25.0.
RESULTS:
A total of 39 patients with hematologic malignancies were included, among whom 35 patients had undergone allogeneic hematopoietic stem cell transplantation (allo-HSCT). The median time to EBV reactivation was 4.8 months (range: 1.7-57.1 months) after allo-HSCT. EBV was detected in B, T, and NK cells in 20 patients, in B and T cells in 11 patients, and only in B cells in 4 patients. In the 35 patients, the median EBV load in B cells was 2.19×104 copies/ml, significantly higher than that in T cells (4.00×103 copies/ml, P <0.01) and NK cells (2.85×102 copies/ml, P <0.01). Rituximab (RTX) was administered for 32 patients, resulting in EBV negativity in 32 patients with a median time of 8 days (range: 2-39 days). Post-treatment analysis of 13 patients showed EBV were all negative in B, T, and NK cells. In the four non-transplant patients, the median time to EBV reactivation was 35 days (range: 1-328 days) after diagnosis of the primary disease. EBV was detected in one or two subsets of B, T, or NK cells, but not simultaneously in all three subsets. These patients received a combination chemotherapy targeting at the primary disease, with 3 patients achieving EBV negativity, and the median time to be negative was 40 days (range: 13-75 days).
CONCLUSION
In hematologic malignancy patients after allo-HSCT, EBV reactivation commonly involves B, T, and NK cells, with a significantly higher viral load in B cells compared to T and NK cells. Rituximab is effective for EBV clearance. In non-transplant patients, EBV reactivation is restricted to one or two lymphocyte subsets, and clearance is slower, highlighting the need for prompt anti-tumor therapy.
Humans
;
Hematologic Neoplasms/virology*
;
Herpesvirus 4, Human/physiology*
;
Epstein-Barr Virus Infections
;
Hematopoietic Stem Cell Transplantation
;
Virus Activation
;
Lymphocyte Subsets/virology*
;
Flow Cytometry
;
Killer Cells, Natural/virology*
;
Male
;
Female
;
B-Lymphocytes/virology*
;
Viral Load
;
Adult
;
T-Lymphocytes/virology*
;
Middle Aged
5.Two cases of female monozygotic twins with schizophrenia carrying a balanced translocation between 22q11.2 and 4p15.3
Xuyuan YIN ; Chuanwei LI ; Qing YANG ; Yuan CAI ; Wenlong HOU ; Lijuan MAN ; Nannan ZHUANG ; Jiaqi CAO ; Qi QI ; Zhenhua ZHU ; Li HUI
Chinese Journal of Psychiatry 2025;58(1):47-50
Schizophrenia is a common, severe, and complex psychiatric disorder worldwide. Genetic factors account for around 80% of the etiology of schizophrenia, yet objective diagnostic biomarkers remain lacking. This article reports two cases of female monozygotic twins diagnosed with schizophrenia, exhibiting a balanced translocation between 22q11.2 and 4p15.3. Reviewing the literature, we analyze and discuss the correlation between chromosomal balanced translocation regions and the pathogenesis of mental disorders. This aims to encourage psychiatrists to consider new perspectives on the diagnosis of schizophrenia.
6.Effect of Circadian Clock Genes on Circadian Rhythm of Allergic Rhinitis Based on Weiyang Theory
Xi CHEN ; Ran JING ; Yu LI ; Man YIN ; Hui ZHANG ; Jianfeng ZHANG ; Xinrong LI
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(2):431-436
Allergic rhinitis(AR)affects 10%-40%of the population in the world.Because CLOCK genes regulate the circadian rhythms of AR,the symptoms in parts of the patients are aggravated in the morning and evening and relieved at moon.Although lots of studies showed that traditional Chinese medicine is effective for AR,further explores are still needed to analyze the circadian rhythm of AR based on Chinese Chronological Medicine for controlling the circadian outbreak point of symptoms of AR in daily cycle.We supposed that Weiyang might play an important role for controlling the circadian rhythm of AR with closed similarities with the tidal variation of the expressions of CLOCK genes.Thus based on Weiyang theory,we tried to clarify the mechanism of circadian rhythm of AR and explore the relationship between Weiyang and the CLOCK genes so as to further expand the treatment methods of adjusting the circadian cycle of AR with TCM and improve the corresponding therapeutic efficacy.
7.The laboratory biomarkers of disease activity in ankylosing spondylitis
Siming Gao ; Wei Liu ; Siliang Man ; Hongchao Li ; Hui Song
Acta Universitatis Medicinalis Anhui 2025;60(3):552-557, 564
Objective :
To analyze the correlation between different laboratory biomarkers and disease activity in ankylosing spondylitis and to compare their specificity and sensitivity in assessing disease activity.
Methods :
Spearman correlation or Pearson correlation was used to analyze the correlation between disease activity and laboratory biomarkers. Receiver operating characteristic(ROC) was used to compare the sensitivity and specificity of each laboratory biomarker in evaluating disease activity.
Results :
Hypersensitive C-reactive protein, fibrinogen, D-dimer, erythrocyte sediment rate, C-reactive protein, immuno-inflammatory index(platelet count×neutrophil count/lymphocyte count), fibrinogen/albumin ratio, albumin and pro-albumin were correlated with disease activity. The ratio of fibrinogen to albumin, fibrinogen, erythrocyte sedimentation rate, immuno-inflammatory index, C-reactive protein and hypersensitive C-reactive protein had good values in determining the disease activity.
Conclusion
Different laboratory biomarkers are correlated with the disease activity of ankylosing spondylitis, and some of them have better discriminating values for the disease activity.
8.Two cases of female monozygotic twins with schizophrenia carrying a balanced translocation between 22q11.2 and 4p15.3
Xuyuan YIN ; Chuanwei LI ; Qing YANG ; Yuan CAI ; Wenlong HOU ; Lijuan MAN ; Nannan ZHUANG ; Jiaqi CAO ; Qi QI ; Zhenhua ZHU ; Li HUI
Chinese Journal of Psychiatry 2025;58(1):47-50
Schizophrenia is a common, severe, and complex psychiatric disorder worldwide. Genetic factors account for around 80% of the etiology of schizophrenia, yet objective diagnostic biomarkers remain lacking. This article reports two cases of female monozygotic twins diagnosed with schizophrenia, exhibiting a balanced translocation between 22q11.2 and 4p15.3. Reviewing the literature, we analyze and discuss the correlation between chromosomal balanced translocation regions and the pathogenesis of mental disorders. This aims to encourage psychiatrists to consider new perspectives on the diagnosis of schizophrenia.
9.Correlation between levels of sTim-3 and sST2 in peripheral blood and disease severity in patients with alcoholic liver disease
Shaoyang ZHENG ; Hui ZHI ; Man WANG ; Bing WU ; Qingge ZHANG ; Guanyang LI
Tianjin Medical Journal 2025;53(4):383-388
Objective To investigate levels of soluble T cell immunoglobulin mucin domain 3(sTim-3)and soluble growth stimulating gene expression protein 2(sST2)in peripheral blood of patients with alcoholic liver disease(ALD),and their correlation with disease severity.Methods A total of 112 ALD patients in our hospital from June 2021 to June 2023 were selected as the ALD group,including 47 patients with alcoholic fatty liver(AFL group),37 patients with alcoholic steatohepatitis(ASH group)and 28 patients with alcoholic liver cirrhosis(ALC group).Another 112 healthy subjects were used as the control group.Enzyme linked immunosorbent assay was applied to detect serum levels of sTim-3 and sST2.ROC curve was used to analyze the diagnostic value of sTim-3 and sST2 in different clinical types of ALD.The correlation between serum sTim-3,sST2 levels and clinical indicators in ALD patients was analyzed by Pearson correlation analysis.The factors influencing disease severity in ALD patients was analyzed by Logistic regression model.Results The serum levels of sTim-3 and sST2 were higher in the ALD group than those in the control group(P<0.05).The serum levels of sTim-3 and sST2 were increased successively in the AFL group,the ASH group and the ALC group(P<0.05).The area under the curve(AUC)of the combined diagnosis of ALC and ASH by sTim-3 and sST2 was significantly larger than that of AUC of the single diagnosis of sTim-3 and sST2(P<0.05).Levels of glutamic-pyruvic transaminase(ALT),glutamic oxalacetic transaminase(AST),total bilirubin(TBIL),alkaline phosphatase(ALP)and glutamyl transpeptidase(GGT)were increased successively in the AFL group,the ASH group and the ALC group(P<0.05).The serum levels of sTim-3 and sST2 were positively correlated with levels of ALT,AST,TBIL,ALP and GGT,respectively(P<0.05).Logistic regression analysis showed that high levels of sTim-3 and sST2 were independent risk factors for severe disease in ALD patients(P<0.05).Conclusion The serum levels of sTim-3 and sST2 increase in ALD patients,which are related to disease severity in ALD patients.
10.Correlation between levels of sTim-3 and sST2 in peripheral blood and disease severity in patients with alcoholic liver disease
Shaoyang ZHENG ; Hui ZHI ; Man WANG ; Bing WU ; Qingge ZHANG ; Guanyang LI
Tianjin Medical Journal 2025;53(4):383-388
Objective To investigate levels of soluble T cell immunoglobulin mucin domain 3(sTim-3)and soluble growth stimulating gene expression protein 2(sST2)in peripheral blood of patients with alcoholic liver disease(ALD),and their correlation with disease severity.Methods A total of 112 ALD patients in our hospital from June 2021 to June 2023 were selected as the ALD group,including 47 patients with alcoholic fatty liver(AFL group),37 patients with alcoholic steatohepatitis(ASH group)and 28 patients with alcoholic liver cirrhosis(ALC group).Another 112 healthy subjects were used as the control group.Enzyme linked immunosorbent assay was applied to detect serum levels of sTim-3 and sST2.ROC curve was used to analyze the diagnostic value of sTim-3 and sST2 in different clinical types of ALD.The correlation between serum sTim-3,sST2 levels and clinical indicators in ALD patients was analyzed by Pearson correlation analysis.The factors influencing disease severity in ALD patients was analyzed by Logistic regression model.Results The serum levels of sTim-3 and sST2 were higher in the ALD group than those in the control group(P<0.05).The serum levels of sTim-3 and sST2 were increased successively in the AFL group,the ASH group and the ALC group(P<0.05).The area under the curve(AUC)of the combined diagnosis of ALC and ASH by sTim-3 and sST2 was significantly larger than that of AUC of the single diagnosis of sTim-3 and sST2(P<0.05).Levels of glutamic-pyruvic transaminase(ALT),glutamic oxalacetic transaminase(AST),total bilirubin(TBIL),alkaline phosphatase(ALP)and glutamyl transpeptidase(GGT)were increased successively in the AFL group,the ASH group and the ALC group(P<0.05).The serum levels of sTim-3 and sST2 were positively correlated with levels of ALT,AST,TBIL,ALP and GGT,respectively(P<0.05).Logistic regression analysis showed that high levels of sTim-3 and sST2 were independent risk factors for severe disease in ALD patients(P<0.05).Conclusion The serum levels of sTim-3 and sST2 increase in ALD patients,which are related to disease severity in ALD patients.


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