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

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.

Objective To construct a nursing consultation information system based on consultation process and information interaction needs and explore its application effect.Methods The nursing consultation process and information interaction needs were analyzed;the information process,content modules and information interaction interface were designed;the structured records for nursing consultation were developed.The system was officially applied in January 2024.The application effect was evaluated by comparing the completion time of nursing consultations,nursing consultation record quality score,nursing consultation evaluation completion rate,and satisfaction rate before(August 2023 to October 2023)and after(January 2024 to March 2024)the application of the information system.Results After the application of the nursing consultation information system,the implementation rate of nursing consultation for inpatients increased from 1.27％ before the application of the system to 1.47％(P=0.019).The completion time of nursing consultation in the whole hospital reduced from 351(225,421)minutes before the application of the system to 310(156,402)minutes(P＜0.001),and there was a statistically significant difference in the completion time of nursing consultation among the 3 specialties of intravenous therapy,blood purification,and diabetes nursing(P＜0.05).The quality score of nursing consultation records increased from 90.5(82.0,100)points to 95.5(92.0,100)points(P＜0.001).The completion rate of nursing consultation evaluation was higher than those before the system application,with statistical significance(21.6％ vs 78.4％,P＜0.001).Conclusion Nursing consultation information system based on information interaction needs can improve the implementation of nursing consultation for inpatients,shorten the completion time of nursing consultations,improve the writing quality of nursing consultation records and the completion rate of nursing consultation evaluation,and it succeeded in real-time quality monitoring.

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.

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.

The aim of this study is to identify the cause of death of a South China tiger cub at the Meihuashan breeding institute of Fujian Province.Pathogenic bacteria were isolated and cultured from liver,spleen,lung and other tissue samples of the dead South China tiger aseptically.The iso-lated bacteria were identified through morphological observation,biochemical characterization,sequence analysis of housekeeping gene gyrB,virulence gene detection,animal pathogenicity test and drug sensitivity test.A pathogenic Aeromonas hydrophila strain,designated FJ/Tiger-201809 was successfully isolated from the trachea of dead South China tiger.The nucleotide sequence ho-mology between the isolate and 11 strains of Aeromonas gyrB ranged from 91.2％to 99.1％,with the highest homology of 99.1％observed with Aeromonas hydrophila(AF208251.1).Genetic evo-lution analysis showed that the isolated strain FJ/Tiger-201809 was in the same evolutionary branch as other reference strains of Aeromonas hydrophila and was closely related.The pathoge-nicity test in mice showed artificial infection of mice with the strain resulted in varying degrees of lesions in several organs of the mice,and the median lethal dose(LD50)was 1 × 107.8 CFU/mL.Virulence gene test results showed that the isolate FJ/Tiger-201809 carried two virulence genes,aer and act.The results of drug sensitivity test showed that FJ/Tiger-201809 was highly sensitive to enrofloxacin and ampicillin among 18 commonly used antibiotics,relatively sensitive to penicil-lin G and doxycycline,and resistant to the other 14 antibiotics.In conclusion,this study isolated and identified a strain of Aeromonas hydrophila from a dead South China tiger with multiple drug resistance and strong pathogenicity,which provided an important reference for the prevention and control of bacterial diseases in South China tiger.

The advanced platelet-rich fibrin(A-PRF)and concentrated growth factor(CGF)are platelet concentrates(PCs)obtained through the collection of venous blood from the patient and using different centrifugation procedures.Both are rich in growth factors,and the internal fibrin structure within them serves as a natural three-dimensional scaffold for the release of growth factors.They possess characteristics such as low cost,high safety and superior regenerative potential.Currently,they have gained wide-spread attention in the field of regeneration and repair of soft and hard tissues in oral implantation.This review provides the progress of A-PRF and CGF research,focusing on their preparation methods,application methods,potential regeneration mechanisms and a comparison of components and scaffold structures promoting alveolar bone defect repair between A-PRF and CGF.

The advanced platelet-rich fibrin(A-PRF)and concentrated growth factor(CGF)are platelet concentrates(PCs)obtained through the collection of venous blood from the patient and using different centrifugation procedures.Both are rich in growth factors,and the internal fibrin structure within them serves as a natural three-dimensional scaffold for the release of growth factors.They possess characteristics such as low cost,high safety and superior regenerative potential.Currently,they have gained wide-spread attention in the field of regeneration and repair of soft and hard tissues in oral implantation.This review provides the progress of A-PRF and CGF research,focusing on their preparation methods,application methods,potential regeneration mechanisms and a comparison of components and scaffold structures promoting alveolar bone defect repair between A-PRF and CGF.