Twelve compounds were isolated from the rice fermentation extracts of Penicillium expansum GY618 by silica column chromatography, Sephadex gel column chromatography, ODS column chromatography and semi preparative HPLC methods. They were determined as 11-hydroxyl-penicitrinone F (1), penicitrinone F (2), betulin (3), erythrodiol (4), ergosterol (5), ergost-5α,8α-epidioxy-6,22-dien-3β-ol (6), (5α,8α-epidioxy-(22E,24R)-ergosta-6,9(11),22-trien-3β-ol) (7), 5α,8α-epidioxy-(22E,24R)-23-methylergosta-6,22-dien-3β-ol (8), 5α,8α-epidioxy- 23,24(R)-dimethylcholesta-6,9(11),22-trien-3β-ol (9), dankasterone A (10), (17R)-4-hydroxy-17-methylincisterol (11) and ergosta-4,6,8(14),22-tetraen-3-one (12), through mass spectrometer, nuclear magnetic resonance (NMR) and comparison with the literature. Compound 1 was a new compound and compounds 2-4, 6-12 were isolated from Penicillium expansum fungus for the first time. The tyrosinase inhibitory activity experiment showed that compounds 1, 3 and 12 showed certain inhibitory activity against tyrosinase with IC₅₀ values of (75 ± 9), (69 ± 8) and (64 ± 2) μmol·L^-1, respectively. The IC₅₀ of other compounds were all greater than 100 μmol·L^-1, while IC₅₀ of the positive control kojic acid was (46 ± 4) μmol·L^-1.

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.

Objective To assess the effectiveness of Healthcare Failure Mode and Effect Analysis(HFMEA)in the intravenous thrombolysis process for patients with Acute Ischemic Stroke(AIS).Methods The targeted and comprehensive emergency care plan was constructed using HFMEA methodology.This plan was then applied to optimize the intravenous thrombolysis process in the target hospitals.Key indicators were evaluated before and after the intervention using t-tests,chi-square tests,and non-parametric tests.Results After the implementation of HFMEA,the mean Risk Priority Number value for the intravenous thrombolysis process in AIS decreased compared to before implementation.Additionally,the rate of intravenous thrombolysis within 4.5 hours of onset increased to 54％.The HFMEA model management group showed an 8％improvement compared to the conventional management group.The median time between patient admission and the start of intravenous thrombolysis door to needle time(DNT)was shorter,hospitalisation costs were lower,and National Institutes of Health Stroke Scale scores were reduced at 1 and 2 weeks post-treatment,as well as at discharge.However,there was no significant difference in the number of hospital days between the two groups.Conclusion The use of HFMEA management tools can effectively improve the intravenous thrombolysis process in patients with AIS.This can increase the rate of reperfusion therapy in AIS,shorten the time to DNT,and improve early neurological function.Additionally,it can promote patient health and reduce the burden on families.

This paper summarized Professor LI Haisong's clinical experience in treating spermatorrhea based on the view of "spirit controlling essence and qi". It is emphasized that the heart spirit has the function of controlling the essence and qi of the human body， believing the frenetic stirring of heart spirit and the insecurity of essence gate are the core pathogenesis of spermatorrhea， LI advocates to regulate the heart spirit first and take into account of the zang-fu organs， essence and qi simultaneously for the treatment. Treatment should be performed according the clinical syndromes differentiatied. For those with heart spirit failing to nourish syndrome， it is recommended to supplement heart qi， nourish spirit and consolidate essence with self-made Yangxin Mijing Formula （养心秘精方）. In case of heart fire hyperactivity， the method of clearing heart heat and draining fire， calming spirit and consolidating essence should be used， and self-made Xiexin Gujing Formula （泻心固精方） is recommended. For heart-liver qi constraint， it is advised to soothe the liver and calm heart， calm the mind and regulate essence with self-made Jieyu Anshen Tiaojing Formula （解郁安神调精方） which is a modifcation to Chaihu Shugan Powder （柴胡疏肝散）. In terms of deficiency of both heart and liver， the treatment principle is supplementing spleen and nourishing heart， calming the mind and controlling essence， for which self-made Xinpi Tongtiao Shejing Formula （心脾同调摄精方） modified from Guipi Decoction （归脾汤） can be used. For deficiency of both heart and kidney， it is better to nourish the kidney and calm heart， calm the mind and consolidate essence with self-made Xinshen Liangzi Tianjing Formula （心肾两滋填精方） that modified from Shuilu Erxian Elixir （水陆二仙丹） and Wuzi Yanzong Pill （五子衍宗丸）. Prescriptions are used to treat the root by harmonizing the zang-fu organs， nourish the spirit by regulating qi and blood， and calm the mind by taking special medi-cinals， and they should be flexibly modified according to the disease.

Studies on chemical constituents in the rhizome of Dalbergia rimosa Roxb. The chemical constituents from the ethyl acetate part of D. rimosa were isolated and purified by silica gel, MCI gel, Sephadex LH-20 gel and semi-preparative HPLC, and the stuctures were identified by spectral method. Thirteen compounds were isolated from the ethyl acetate part of the rhizome of D. rimosa and identified as dalbergiaisoflavones A, B (1, 2), formononetin (3), 7,4′-dimethoxyisoflavone (4), 4′,6,7-trimethoxyisoflavone (5), biochanin A (6), prunetin (7), 7-O-methyltectorigenin (8), 3′-hydroxydaidzein (9), orobol 7,3′-dimethyl ether (10), 2′,7-dihydroxy-4′,5′- dimethoxyisoflavone (11), pruinosanone E (12), caviunin (13). Compounds 1 and 2 are new compounds, and compounds 3-13 were isolated from this plant for the first time. Compounds 9 and 11 had remarkable scavenging effect on DPPH free radicals.

Objective To assess the effectiveness of Healthcare Failure Mode and Effect Analysis(HFMEA)in the intravenous thrombolysis process for patients with Acute Ischemic Stroke(AIS).Methods The targeted and comprehensive emergency care plan was constructed using HFMEA methodology.This plan was then applied to optimize the intravenous thrombolysis process in the target hospitals.Key indicators were evaluated before and after the intervention using t-tests,chi-square tests,and non-parametric tests.Results After the implementation of HFMEA,the mean Risk Priority Number value for the intravenous thrombolysis process in AIS decreased compared to before implementation.Additionally,the rate of intravenous thrombolysis within 4.5 hours of onset increased to 54％.The HFMEA model management group showed an 8％improvement compared to the conventional management group.The median time between patient admission and the start of intravenous thrombolysis door to needle time(DNT)was shorter,hospitalisation costs were lower,and National Institutes of Health Stroke Scale scores were reduced at 1 and 2 weeks post-treatment,as well as at discharge.However,there was no significant difference in the number of hospital days between the two groups.Conclusion The use of HFMEA management tools can effectively improve the intravenous thrombolysis process in patients with AIS.This can increase the rate of reperfusion therapy in AIS,shorten the time to DNT,and improve early neurological function.Additionally,it can promote patient health and reduce the burden on families.

Objective To assess the effectiveness of Healthcare Failure Mode and Effect Analysis(HFMEA)in the intravenous thrombolysis process for patients with Acute Ischemic Stroke(AIS).Methods The targeted and comprehensive emergency care plan was constructed using HFMEA methodology.This plan was then applied to optimize the intravenous thrombolysis process in the target hospitals.Key indicators were evaluated before and after the intervention using t-tests,chi-square tests,and non-parametric tests.Results After the implementation of HFMEA,the mean Risk Priority Number value for the intravenous thrombolysis process in AIS decreased compared to before implementation.Additionally,the rate of intravenous thrombolysis within 4.5 hours of onset increased to 54％.The HFMEA model management group showed an 8％improvement compared to the conventional management group.The median time between patient admission and the start of intravenous thrombolysis door to needle time(DNT)was shorter,hospitalisation costs were lower,and National Institutes of Health Stroke Scale scores were reduced at 1 and 2 weeks post-treatment,as well as at discharge.However,there was no significant difference in the number of hospital days between the two groups.Conclusion The use of HFMEA management tools can effectively improve the intravenous thrombolysis process in patients with AIS.This can increase the rate of reperfusion therapy in AIS,shorten the time to DNT,and improve early neurological function.Additionally,it can promote patient health and reduce the burden on families.

Objective To assess the effectiveness of Healthcare Failure Mode and Effect Analysis(HFMEA)in the intravenous thrombolysis process for patients with Acute Ischemic Stroke(AIS).Methods The targeted and comprehensive emergency care plan was constructed using HFMEA methodology.This plan was then applied to optimize the intravenous thrombolysis process in the target hospitals.Key indicators were evaluated before and after the intervention using t-tests,chi-square tests,and non-parametric tests.Results After the implementation of HFMEA,the mean Risk Priority Number value for the intravenous thrombolysis process in AIS decreased compared to before implementation.Additionally,the rate of intravenous thrombolysis within 4.5 hours of onset increased to 54％.The HFMEA model management group showed an 8％improvement compared to the conventional management group.The median time between patient admission and the start of intravenous thrombolysis door to needle time(DNT)was shorter,hospitalisation costs were lower,and National Institutes of Health Stroke Scale scores were reduced at 1 and 2 weeks post-treatment,as well as at discharge.However,there was no significant difference in the number of hospital days between the two groups.Conclusion The use of HFMEA management tools can effectively improve the intravenous thrombolysis process in patients with AIS.This can increase the rate of reperfusion therapy in AIS,shorten the time to DNT,and improve early neurological function.Additionally,it can promote patient health and reduce the burden on families.