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.

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.

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.

[This corrects the article DOI: 10.11909/j.issn.1671-5411.2017.08.005.].

With the rapid development of information technology,digitization of education has become an important driving force to promote education reform.In the education system of medical colleges,the construction and imple-mentation of professional curriculum courses play an important role in the cultivation of qualified medical talents.Emergence of education digitization has brought unprecedented opportunities but also some challenges to the curric-ulum construction by teachers in medical school.This paper aims to explore how to effectively promote construction of professional curriculums with information technology(IT)guided by education digitization strategy and to recom-mend a series of methods in terms of strategy implementation in medical schools.

Objective:To explore the role of combined detection of cell free BMPR1A and PLAC8 gene methylation in plasma in predicting postoperative recurrence of hepatocellular carcinoma.Methods:Case series study. Patients with stage Ⅰ-Ⅳ hepatocellular carcinoma who were treated at the Third Affiliated Hospital of Sun-Yat-sen University from January 2022 to July 2023 were selected. All enrolled patients underwent alpha fetoprotein (AFP) and imaging assessments 1 month, 3 months, 6 months, 9 months, and 12 months after treatment. Simultaneously, peripheral blood of patients was extracted for plasma circulating tumor DNA (ctDNA) methylation detection, and the results of free BMPR1A and PLAC8 gene methylation detection in patients′ plasma after treatment were compared with the positive rate of traditional tumor marker AFP detection. Draw the receiver operating characteristic curve (ROC) of the subjects to demonstrate the effectiveness of this method in predicting the recurrence of hepatocellular carcinoma. Based on the results of cell free DNA methylation and whether AFP is more than 7 μg/L, hepatocellular carcinoma patients were divided into high-risk methylation group (12 cases), low-risk methylation group (21 cases), high-risk AFP group (15 cases), and Kaplan Meier survival analysis was performed on them.Results:The sensitivity and specificity of combined detection of free BMPR1A PLAC8 gene methylation in plasma for predicting liver cancer recurrence were 66.7% and 88.9%, respectively. The area under curve (AUC) of BMPR1A PLAC8 gene methylation detection for liver cancer recurrence were 0.770 and 0.778, and the AFP was 0.522 in ROC curve analysis. Compared to imaging examinations, cell free DNA methylation detection can detect the recurrence of hepatocellular carcinoma on average by 58.3 days in advance(53.8 days vs 112.1 days). The progression free survival rate of the high-risk group based on free DNA methylation prediction at 400 days was 22.2%, significantly lower than the low-risk group (76.2%, P<0.001). Conclusion:Compared to AFP, detecting the methylation of BMPR1A and PLAC8 genes can predict the recurrence of hepatocellular carcinoma more accurately, making it a practical method for monitoring liver cancer recurrence.

Objective To explore the effect and mechanism of anti-mesangial cell-proliferation-peptide 2(AMPP2)on mesangial cell proliferation induced by transforming growth factor β1(TGF-β1).Methods Mesangial cells were cultured in vitro and treated with TGF-β1(10 μg/L)and AMPP2(10 ng/L).According to different intervention factors,mesangial cells were divided into four groups:the control group,the AMPP2 group,the TGF-β1 group and the TGF-β1+AMPP2 group.The proliferation activity of mesangial cells was detected by CCK-8.The relative protein expression of cyclin dependent kinase 4(CDK-4),cyclin dependent kinase 6(CDK-6),proliferating cell nuclear antigen(PCNA),α-smooth muscle actin(α-SMA),collagen-Ⅰ(COL-Ⅰ)and fibronectin(FN)were examined by Western blot assay.The relative mRNA expression of α-SMA,COL-Ⅰ and FN were detected by qPCR.Results Compared with the control group,proliferation activity of mesangial cells was significantly increased in the TGF-β1 group(P＜0.05).The proliferation activity of mesangial cells was markedly decreased in the TGF-β1+AMPP2 group compared with that of the TGF-β1 group(P＜0.05).Compared with the control group,protein levels of CDK-4,CDK-6,PCNA,α-SMA,COL-Ⅰand FN in cells were significantly increased in the TGF-β1 group(P＜0.05),as well as the mRNA levels of α-SMA,COL-Ⅰand FN(P＜0.05).In the TGF-β1+AMPP2 group,the protein and mRNA levels of α-SMA,COL-Ⅰand FN and the protein levels of CDK-4,CDK-6 and PCNA were markedly decreased compared with those of the TGF-β1 group(P＜0.05).Compared with the control group,levels of p-SMAD3/SMAD3 was remarkably upregulated in the TGF-β1 group(P＜0.05),while levels of p-SMAD3/SMAD3 was remarkably downregulated in the TGF-β1+AMPP2 group compared with those of the TGF-β1 group(P＜0.05).Conclusion AMPP2 may inhibit mesangial cell proliferation by regulating TGF-β1/SMAD3 pathway.

To sum up integrative nursing experience of a case with chronic refractory wound formation caused by drug extravasation.The essentials of integrative nursing are:structured nursing intervention of"assessment-management-treatment"based on the Triangle of Wound Assessment;determination of the timing for integrative nursing according to the theory of TCM sores and ulcers;implementation of copper board scraping method to promote circulation of qi and blood;use of Huo-long Comprehensive Moxibustion Therapy to promote muscle regeneration.With the help of the cooperation of the multidisciplinary specialist nursing team,the wound was completely healed after 59 days of integrated traditional Chinese and Western medicine nursing interventions.

Objective:To explore the relationship among sleep phenotypes, attention deficit and hyperactivity impulsivity (ADHD) symptoms and cognitive information processing in children with ADHD.Methods:A total of 244 children with ADHD aged 6-12 were selected from December 2021 to December 2022.Swanson, Nolan and Pelham rating scale Ⅳ(SNAP-Ⅳ) was used to evaluate the core symptoms of ADHD.Sleep disturbance scale for children (SDSC) was used to evaluate six sleep phenotypes((disorders in initiating and maintaining sleep (DIMS), sleep breathing disorders(SDB), sleep-wake transition disorders(SWTD), disorders of arousal(DA), disorders of excessive somnolence (DOES), and Nocturnal hyperhidrosis(SHY)). Das-Naglieri cognitive function assessment system (DN-CAS) was used to evaluate the cognitive information processing (planning, simultaneous processing, attention and successive processing). Descriptive statistical analysis, Spearman correlation analysis, and mediation analysis were conducted by SPSSAU 23.0 and Zstats software, respectively.Results:Correlation analysis showed that DIMS, SDB, SWTD, DA and DOES were significantly and positively correlated with attention deficit ( r=0.190-0.349, all P<0.01).DIMS(2.14(1.71, 2.57)), SWTD(1.67(1.33, 2.00)) and SHY(2.00(1.50, 3.00)) were significantly positively correlated with hyperactive impulsivity (1.44(1.00, 2.00))( r=0.193, 0.242, 0.133, P<0.05). Attention deficit(1.78(1.44, 2.33)) was significantly and negatively correlated with successive processing(105.00(96.00, 112.00)) ( r=-0.127, P<0.05). The results of multiple linear regression analysis showed that after controlling for sex, age, verbal IQ and operational IQ, DIMS ( β=0.152, P<0.05) and SWTD ( β=0.178, P<0.05) had significant positive predictive effects on hyperactive impulsivity symptoms. DOES ( β=0.259, P<0.01) had significant positive predictive effects on attention deficit symptoms. Attention deficit ( β=-0.183, P<0.05) had a significant negative predictive effect on successive processing. Mediation effect analysis showed that attention deficit played a complete mediating role between DOES and successive processing(effect=-0.179, Bootstrap 95% CI=-0.196--0.110). Conclusion:Different sleep phenotypes are associated with ADHD core symptoms and different dimensions of cognitive information processing processes. DOES indirectly affects successive processing capability by attention deficit symptoms.