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.

The codon sequence of the S1 protein of the SARS-CoV-2 Beta variant was optimized ac-cording to the preference of CHO cells and cloned into pSN expression vector to construct the re-combinant plasmid pSN-Beta-sl.Recombinant protein was expressed in CHO cells,identified using SDS-PAGE and Western blot,and purified through affinity chromatography.BALB/c mice were immunized with purified recombinant protein Beta-S1 combined with aluminum hydroxide adju-vant.Specific IgG antibody and its subtypes in serum and the cross-neutralization antibody activity against SARS-CoV-2 variants were evaluated.The results showed that the recombinant plasmid pSN-Beta-S1 was successfully constructed,and the recombinant protein Beta-S1 was produced u-sing the CHO cell expression system.The purified recombinant protein had a single band of about 120 kDa with the purity exceeding 85％and can bind to RBD pAb and strep-tag mAb.The recom-binant S1 protein showed good immunogenicity in BALB/c mice.The titers of specific IgG antibodies against RBD protein and S1 protein reached 1∶66 260 and 1∶133 120 on average 21 d after the third immunization,the antibody subtypes were mainly inclined to IgG1.Serum neutrali-zing antibody titer was 1∶629 for wild type,1∶1 720 for Beta,1∶374 for Delta,1∶77 for Omi-cron BA1 and 1∶101 for Omicron BA2.In this study,S1 recombinant protein of SARS-CoV-2 Beta variant was successfully expressed in CHO cell expression system and produced good immunoge-nicity and cross-neutralizing activity in BALB/c mice.These results provide a reference for the fur-ther development of broad-spectrum SARS-CoV-2 vaccine.

Objective To propose a sperm classification model based on convolutional neural network to enhance the accuracy of sperm morphological classification.Methods A FT-EfficientNet model was constructed using EfficientNetB0 as the base model,which was fine-tuned by data preprocessing enhancement,transfer learning and cosine decay.Classification experi-ments were performed on the sperm public datasets SCIAN-Morpho and HuSHeM,and the datasets were segmented and vali-dated using 5-fold cross-validation.The classification results by the FT-EfficientNet model were compared with those by the cascade ensemble of support vector machines(CE-SVM)model,the adaptive patch-based dictionary learning(APDL)model,fine tuning of visual geometry group(FT-VGG)model,morphological classification of human sperm heads(MH-HSH)model and transfer learning(TL)model.Ablation experiments were performed in the SCIAN-Morpho dataset to verify the effect of different fine-tuning methods on the model.Results The FT-EfficientNet model proposed had the accuracy,precision and F1 score on the SCIAN-Morpho validation set being 64.1％,63.8％and 64.8％,respectively,which were better than CE-SVM,APDL,FT-VGG and MC-HSH models.The recall rate of the model proposed(65.2％)was slightly lower than that of MC-HSH model(68.0％).The accuracy,precision,F1 score and recall rate on the HuSHeM validation set was 95.4％,95.8％,95.4％and 96.0％,respectively,which were slightly lower than those of TL model while better than those of CE-SVM,APDL,FT-VGG and MC-HSH models.Ablation experiments showed the FT-EfficientNet model behaved the best in fine-tuning.Conclusion The sperm classification model based on convolutional neural network facilitates sperm morphology classification with high accuracy and performance.[Chinese Medical Equipment Journal,2024,45(10):7-13]

Objective To investigate the values of systemic inflammatory response index(SIRI),systemic immunoinflammatory index(SII),neutrophil count/lymphocyte count(NLR),platelet count/lymphocyte count(PLR)and lymphocyte count/monocyte count(LMR)in prediction of the severity of acute pancreatitis(AP)at early stage.Methods The clinical data on 666 AP patients admitted to the department of hepatobiliary surgery,the First Affiliated Hospital of Anhui University of Science and Technology,from January 2020 to November 2023 were retrospectively analyzed.The patients were divided into a mild group(MAP group,mild acute pancreatitis)and a non-mild group(non-MAP group,including moderate to severe acute pancreatitis).Blood routine and biochemical indicators were collected at admission and 24 hours after admission.The differences in SIRI,SII,NLR,PLR and LMR between the two groups were compared,so were the values of these five indexes in prediction of non-MAP.Results Of the 666 AP patients,507 were in the MAP group and 159 in the non-MAP group.In the non-MAP group,C-reactive protein(CRP),SIRI,SII,and NLR were higher than those in the MAP group 24 hours after admission,while LMR was lower than that in the MAP group,and the differences were statistically significant(P<0.05).CRP(HR=1.008,95%CI:1.004～1.012,P<0.05)and SIRI(HR=1.216,95%CI:1.029～1.436,P<0.05)were identified as the risk factors for the severity of AP.The ROC curve showed that the AUC and sensitivity of SIRI for predicting non-MAP 24 hours after admission were 0.718 and 75.00%,respectively,higher than those of SII,CRP,NLR,and LMR.Both SIRI and CRP had AUC values greater than 0.7,and the combined AUC was 0.788(0.738～0.837),the sensitivity was 86.00%and the specificity was 81.44%.Conclusions SIRI can be used as a predictor of disease severity in early AP patients,and combined with CRP can improve the predictive value.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To investigate the clinical characteristics of carbapenem-resistant Pseudomonas aeruginosa (CRPA) infection in children and the risk factors for such infection. Methods A retrospective analysis was conducted among 60 children with CRPA infection (CRPA group) who were hospitalized in Shenzhen Children's Hospital,China Medical University,from January 2018 to September 2023,and 82 children with carbapenem-sensitive Pseudomonas aeruginosa infection during the same period were randomly selected as the control group. A multivariate logistic regression analysis was used to investigate the risk factors for CRPA infection. Results Among the 60 children with CRPA infection,31 (52％) were admitted to the intensive care unit (ICU),and the lower respiratory tract was the main detection site in 32 children (53％). The univariate analysis showed that sex,history of invasive treatment within 1 year,antibiotic use before admission,presence of underlying condition,ICU admission,invasive procedure after admission,antibiotic use for>14 days,and the type of antibiotics used of ≥3 were associated with CRPA infection (P<0.05). The multivariate logistic regression analysis showed that the history of invasive treatment within 1 year (OR=3.228,P<0.05),antibiotic use before admission (OR=4.052,P<0.05),antibiotic use for>14 days (OR=4.961,P<0.05),and the type of antibiotics used of ≥3 (OR=3.687,P<0.05) were independent risk factors for CRPA infection in children. Conclusions CRPA infection in children may be associated with a history of invasive treatment within the past year,antibiotic use before admission,duration of antibiotic use after admission,and the diversity of antibiotic types used.

Twelve compounds were isolated from the ethyl acetate fraction of the 80% aqueous ethanol extract of the roots and stems of Dalbergia rimosa Roxb. by silica gel, MCI, Sephadex LH-20 column chromatography, and semi-preparative HPLC. Their structures were identified by spectral analysis such as UV, IR, MS, 1D/2D NMR and by comparison with literature information as dalbergiquinol A (1), dalbergiquinol B (2), R-(-)-3′-hydroxy-2,4,5-trimethoxydalbergiquinol (3), neokhriol A (4), mucronulatol (5), (3R)-7,2′,3′-trihydroxy-4′-methoxy-isoflavane (6), isomucronulatol (7), (3S)-violanone (8), 3′-O-methylviolanone (9), eryvarin M (10), (±)-α,3,4,2′,4′-pentahydroxydihydrochalcone (11) and (-)-butin (12). Compound 1 and 2 are new compounds, and compounds 3-12 were isolated from this plant for the first time. Compounds 1, 2, 4, 6, 8, 11, 12 showed good scavenging effect on DPPH free radical.

The National Medical Products Administration have become an official applicant of the Pharmaceutical Inspection Co-operation Scheme(PIC/S)in 2023,and the good manufacturing practice appendix and inspection memorandum are key documents of PIC/S.Based on the analysis of the history,framework and main contents of the appendix and inspection memorandum of PIC/S investigational medicinal products,this paper discusses the key contents of the appendix and inspection memorandum of PIC/S clinical trial drugs,and provides reference for the inspection work.