Removal of endogenic renal sinus tumors which are located at the renal hilum,is recognized as one of the most challenging surgeries in urology due to the complex anatomical structure.With the help of the high-definition field of vision and flexible robotic arms of the Da Vinci robot system,our team have carried out precision intra-sinus tumor enucleation based on preoperative interactive qualitative and Interactive Quantitative Quality Assurance for 3D Imaging(IQQA-3D)accurate reconstruction technology,as well as the clinical anatomical characteristics of patients with renal sinus tumors.During operation,the renal pedicle is fully dissected,the perihilar fat is cleared,and the tumor capsule is exposed.Subsequently,the blood supply to the kidney is blocked,and the tumor is precisely excised along the tumor capsule.The vascular stumps are sutured point-to-point,and the wound is closed and locked.After the blood supply restores,regional arterial occlusion is performed if necessary to ensure the safety of the surgery and maximize the preservation of renal function.This article discusses the definition of tumor boundaries during robot-assisted endogenic sinus tumor enucleation,the use of intraoperative cooling techniques,and the improvement of surgical safety.

Objective To investigate the risk factors for mortality and bleeding complications in extracorporeal membrane oxygenation(ECMO)treated patients and to evaluate the impact of thrombocytopenia severity on the prognosis of ECMO therapy.Methods A total of 153 patients who received ECMO treatment at Peking University Third Hospital between January 2013 and September 2024 were en-rolled in this study.The patients were divided into death group(n=97)and recovery group(n=56)based on their final outcomes.Additionally,the patients were categorized into bleeding group(n=104)and non-bleeding group(n=49)based on the occurrence of bleeding complications during ECMO.Clinical baseline characteristics and extreme laboratory values during ECMO were compared be-tween groups.Logistic regression was used to analyze the risk factors for mortality and bleeding.The patients were further divided,based on the initial platelet(PLT)values on the day of catheter placement and the lowest platelet count during ECMO,into normal group(PLT≥ 100× 109/L),moderate reduction group[PLT=(50～99)× 109/L],and severe reduction group(PLT＜50× 109/L).Kaplan-Meier analysis was used to compare survival rates among these groups.The patients in the moderate and severe reduction groups were further divided into a platelet transfusion group and a non-transfusion group,and the outcomes and complication rates were com-pared.Results The recovery group had a higher proportion of myocarditis,higher minimum values of PLT,Hb,and Fib,and higher initial PLT values,while the maximum values of lactic dehydrogenase(LDH),total bilirubin(T-Bil),prothrombin time(PT),and procalcitonin(PCT)were lower(all P＜0.05)with significant differences.Logistic regression showed that age and maximum PCT were independent risk factors for mortality(OR=1.025 and 1.015 respectively,all P＜0.05).The bleeding group had longer ECMO dura-tions,more plasma transfusions,lower minimum Hb values,and higher maximum values of WBC,neutrophils(Neu),and APTT(all P＜0.05)with statistical differences.The minimum PLT value,maximum WBC value,and maximum APTT value were independent risk factors for bleeding complications(OR=0.986,1.062,and 1.004 respectively,all P＜0.05).Kaplan-Meier analysis showed that the patients in the severe reduction group had lower survival rates,regardless of whether the grouping was based on initial or minimum platelet counts(all P＜0.05).Platelet transfusion improved the mortality in the severe reduction group(P＜0.05)but had no effect on the moderate reduction group.Conclusion Age and peak value of PCT are the risk factors for mortality in ECMO patients,while mini-mum PLT count,peak value of WBC and APTT are the risk factors for bleeding complications.Early intervention for infection and in-flammation during ECMO may improve the outcome of patients.Severe thrombocytopenia during ECMO therapy increased the risk of mortality,and targeted platelet transfusion may improve the survival of these patients.

Objective To investigate and compare the epidemiological characteristics of common respiratory viruses among influenza-like illness(ILI)and severe acute respiratory infection(SARI)cases in Huzhou,Zhejiang Province before and after the COVID-19 pandemic,so as to provide a basis for formulating and adjusting the prevention and control strategies for viral respiratory infectious diseases.Methods ILI and SARI cases at two influenza surveillance sentinel hospitals in Huzhou and had throat swab samples collected during Nov 2017 to Feb 2020(pre-COVID-19 pandemic period)and Dec 2022 to Apr 2024(post-COVID-19 mitigation phase)were selected as the participants.Seven common viral respiratory pathogens were tested,including influenza A virus(H1N1 and H3N2 subtypes),influenza B virus(Victoria lineage,FluB),respiratory syncytial virus(RSV),rhinovirus(HRV),adenovirus(ADV),and severe acute respiratory syndrome coronavirus-2(SARS-CoV-2).The positive rates of respiratory pathogens before and after the COVID-19 pandemic were compared across different age groups and different time.Results A total of 7 948 ILI samples and 2 294 SARI samples were included.The overall positive rate of ILI samples increased from 33.6%to 47.1%,primarily due to the increase in influenza and COVID-19 infections;the overall positive rate of SARI samples decreased from 31.4%to 24.8%,mainly due to the reduction in HRV and ADV infections.During the post-COVID-19 mitigation phase,SARS-CoV-2(22.1%),H3N2(12.7%),and FluB(6.0%)were the primary pathogens in ILI samples,while RSV(7.1%),H3N2(5.3%),and HRV(4.5%)dominated in SARI samples.During the post-COVID-19 mitigation phase,the influenza virus circulation period was shortened.Before the COVID-19 pandemic,RSV was mainly detected in autumn and winter,while during the post-COVID-19 mitigation phase,out-of-season RSV epidemics were observed in spring and summer.Co-infection rate in ILI cases increased significantly in the post-COVID-19 mitigation phase,predominantly consisting of co-infections of COVID-19 and influenza A virus,while co-infection rate in SARI cases showed a decline.Conclusion We found important epidemiological changes in respiratory viruses in Huzhou during the post-COVID-19 mitigation phase compared to pre-COVID-19 period,including increased positive rates of influenza and COVID-19,and disruptions to the seasonal patterns of influenza and RSV.The prevention and control strategies should be adjusted in a timely manner based on the monitoring data.

Objective:To explore the predictive value of changes in prealbumin for the prognosis of patients with hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF) after artificial liver treatment.Methods:From January 1, 2018 to December 31, 2021, the clinical data (including prealbumin, platelet count, lymphocyte count, alanine transaminase (ALT), etc.) of 87 patients with HBV-ACLF who received artificial liver treatment at the Department of Gastroenterology of the General Hospital of Western Theater Command PLA were retrospectively collected. The 90-day survival status of all the patients was followed up, and the patients were divided into the survival group and the mortality group according to the survival status. The clinical characteristics and the changes of prealbumin on day 1 to 3, day 3 to 7, and day 1 to 7 after artificial liver treatment were compared between the 2 groups. Multivariate logistic regression analysis was used to analyze the independent influencing factors of the 90-day prognosis of HBV-ACLF patients after artificial liver treatment, and the nomogram prediction model was established and the receiver operating characteristic curve (ROC) was drawn to assess the area under the curve (AUC). Hosmer-Lemeshow goodness-of-fit test, calibration curve and clinical decision curve were performed to evaluate the goodness of fit, consistency and clinical value of the prediction model. Paired t-test and Mann-Whitney U test were used for statistical analysis. Results:There were 69 cases enrolled into the survival group, and 18 cases enrolled into the mortality group. The levels of albumin, prealbumin, platelet count, lymphocyte count, and ALT before treatment, and the level of prealbumin at the 3rd day after treatment of the survival group were all higher than those of the mortality group (32.5 (30.6, 35.2) g/L vs. 29.4 (27.6, 32.3) g/L, 66.0 (52.5, 81.5) mg/L vs. 56.5 (39.2, 65.0) mg/L, 103.0 (72.5, 145.0)×10 9/L vs. 63.5 (40.0, 92.5)×10 9/L, 1.1 (0.8, 1.4)×10 9/L vs. 0.9 (0.5, 1.1)×10 9/L, (514.7±86.4) U/L vs. (328.2±93.4) U/L, 90.0 (69.5, 102.5) mg/L vs.68.5(60.0, 75.8) mg/L), and the age, the level of total bilirubin, international normalized ratio, and prothrombin time before treatment of the survival group were all lower than those of the mortality group (48.0 (42.0, 57.0) years old vs. 48.5 (47.0, 56.0) years old, 323.9 (261.2, 409.2) μmol/L vs. 452.2 (405.8, 510.8) μmol/L, 1.5 (1.3, 1.9) vs. 1.9 (1.4, 2.1), 17.3 (14.6, 20.8) s vs. 21.4 (16.6, 23.2) s), and the differences were statistically significant ( Z=-3.38, -2.87, -2.38 and -2.01, t=2.39, Z=-4.11, 3.00, 3.64, 2.18 and 2.37; all P<0.05). The change of prealbumin on day 1 to 3 after treatment in the mortality group was greater than that in the survival group (-0.182 (-0.321, -0.026) vs. -0.043 (-0.133, 0.093)), and the difference was statistically significant ( Z=-3.42, P=0.001). The results of multivariate logistic regression analysis showed that the age, total bilirubin before treatment, and the change of prealbumin on day 1 to 3 after treatment were independent influencing factors for the 90-day prognosis in HBV-ACLF patients after artificial liver treatment (all P<0.05), and the nomogram model was established based on the above 3 factors. The results of ROC analysis showed that the AUC of the prediction model was 0.933 (95% confidence interval: 0.866 to 1.000, P<0.001), with a sensitivity of 0.933 and a specificity of 0.825. The results of the Hosmer-Lemeshow goodness-of-fit test showed that the prediction model had a good fit( P=0.700). The results of calibration curve analysis indicated that the actual curve of the prediction model was close to the calibration curve, with an average absolute error of 0.034, the consistency between the predicted probability and the actual probability was good. The clinical decision curve analysis suggested that the prediction model had significant clinical benefits. Conclusions:The changes of prealbumin after artificial liver treatment in HBV-ACLF patients can reflect the recovery of liver function. The nomogram prediction model based on the change of prealbumin on day 1 to 3 after treatment, age, and total bilirubin before treatment can better predict the 90-day prognosis of HBV-ACLF patients after artificial liver treatment.

Objective To understand the current situation of nutrition literacy of primary and secondary school students in Shijingshan District of Beijing, and analyze its influencing factors, and to put forward targeted suggestions for improving the students’ nutrition literacy and promoting their healthy growth. Methods A multi-stage stratified cluster sampling method was used to select 2480 primary and secondary school students and their parents from 5 primary schools, 3 middle schools and 1 high school in Shijingshan District. The multivariate logistic regression model was used to analyze the factors influencing the attainment rate of nutrition literacy. Results The median score of nutrition literacy of 2480 primary and secondary school students from grades 1 to 12 was 77.86 (in hundred-mark system), the quartile range (IQR) was 16.96, and the attainment rate of nutrition literacy was 42.46%. The cognitive level (45.12%) was higher than the skill level (41.20%) among students from grades 3 to 12. In terms of skills, the attainment rate of food preparation was the lowest, at 30.38%. The scores of nutrition literacy of girls were higher than those of boys, and the scores of primary school students were higher than those of secondary school students. Students with different levels of caregiver’s education, family income, and family food environment had different scores of nutrition literacy, and the differences were statistically significant (P<0.05). Multivariate logistic regression analysis showed that the attainment rate of nutrition literacy was closely related to student’s gender and study stage, caregiver’s education level, and family food environment. Conclusion The nutrition literacy of primary and secondary school students in Shijingshan District still needs to be improved, especially in the aspect of skills. Targeted nutrition education should be carried out.

OBJECTIVE To provide standardized whole-process guidance on drug traceability codes for medical institutions in Sichuan province， ensuring medication safety and compliance with medical insurance supervision requirements. METHODS Based on evidence-based principles and expert consensus， Expert Consensus on Whole-process Management of Drug Traceability Codes in Medical Institutions of Sichuan Province （hereinafter referred to as the Consensus） was formulated through systematic literature review， field investigations， establishment of a multidisciplinary expert committee and multiple rounds of questionnare consultation via the modified Delphi method， and finalized through consensus meetings. RESULTS & CONCLUSIONS The Consensus clarifies key operating procedures for code verification， code assignment and code return， whole-process operational standards for drug warehouse acceptance and storage， drug warehouse outbound delivery and pharmacy acceptance check， drug distribution and dispensing in pharmacy and intravenous admixture center， medication administration in nursing units and examination departments， as well as drug return process. Key recommendations are proposed such as improving the core functions of the drug traceability system， unifying the hospital-wide traceability code database， strengthening the management of traceability codes for backup medications， establishing a management organization and institutional framework， and optimizing the architectural design and data governance requirements of the drug traceability system. The release of the Consensus will provide scientific， standardized and implementable practical guidelines for medical institutions of Sichuan province， helping to improve closed-loop management of the drug traceability system， strengthen medication safety and fulfil medical insurance fund supervision.

Objective To explore the effect of mangiferin(MF)on pyroptosis in an amyotrophic lateral sclerosis(ALS)cell model by regulating the nuclear factor erythroid 2-related factor 2/heme oxygenase-1(Nrf2/HO-1)signaling pathway.Methods(1)Mouse NSC-34 cell lines transfected with hSOD1WT and hSOD1G93A plasmids were randomly divided into blank group,model group,MF(100 μmol/L)group,MF(200 μmol/L)group.MF was added into the culture plate for 24 hours.Cell viability was assessed using CCK-8 kit.Lactate dehydrogenase(LDH)release was measured using LDH cytotoxicity detection kit.Levels of inflammatory factors interleukin(IL)-1β and IL-18 in cell supernatant were determined by enzyme-linked immunosorbent assay(ELISA).The expression of Nrf2,HO-1,NADPH quinone oxidoreductase-1(NQO-1),NOD-like receptor protein 3(NLRP3),gasdermin D(GSDMD)-N and caspase-1 was detected by Western blotting.(2)Mouse hSOD1G93A NSC-34 cells were randomly divided into model group,MF(200 μmol/L)group,Nrf2-siRNA group and Nrf2-siRNA+MF(200 μmol/L)group.The cells were transiently transfected with Nrf2-siRNA using LipofectamineTM 3000.Western blotting was used to detect the protein expression levels of Nrf2,HO-1,NQO-1,NLRP3,caspase-1 and GSDMD-N.Results(1)The results of the CCK-8 assay showed that after the hSOD1G93A NSC-34 cells were treated with MF at concentrations of 300 μmol/L and below for 24 hours,the changes in cell viability were not significant(P>0.05).Compared with blank group,the release of LDH,the contents of IL-1β and IL-18 in the cell culture supernatant of model group were increased(P<0.001);the protein expression levels of Nrf2,HO-1,and NQO-1 were decreased(P<0.05 or P<0.01);the protein expression levels of NLRP3,caspase-1,and GSDMD-N were increased(P<0.05 or P<0.01 or P<0.001).Compared with model group,the release of LDH,the contents of IL-18 and IL-1β in the culture supernatant in MF(100 μmol/L)and MF(200 μmol/L)groups were decreased(P<0.001);the protein expression levels of NLRP3,caspase-1 and GSDMD-N were decreased(P<0.05 or P<0.001),and the expression levels of Nrf2,HO-1 and NQO-1 were increased(P<0.05 or P<0.01).(2)Compared with model group,the protein expession levels of Nrf2,NO-1 and NQO-1 were increased(P<0.05 or P<0.001)in MF(200 μmol/L)group,while the protein expression levels of NLRP3,caspase-1 and GSDMD-N were decreased(P<0.001);the protein expression levels of Nrf2 and HO-1 were decreased in Nrf2-siRNA group(P<0.01 or P<0.001),while the protein expression levels of NLRP3,caspase-1 and GSDMD-N were increased(P<0.001).Compared with Nrf2-siRNA group,the protein expression levels of Nrf2,HO-1 and NQO-1 in Nrf2-siRNA+MF(200 μmol/L)group were increased(P<0.01 or P<0.001),and the protein expression levels of NLRP3,caspase-1 and GSDMD-N were decreased(P<0.001).Conclusion MF can inhibit pyroptosis in the ALS cell model through Nrf2/HO-1 signaling pathway,playing a protective role.

Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.

Objective To explore the biological functions of pyroptosis-related genes in pneumonic plague using bioinformatics methods,and to evaluate their potential applicability as diagnostic markers.Methods The pneumonic plague-related dataset GSE220123 was retrieved from the Gene Expression Omnibus(GEO)database and screened for differentially expressed pyroptosis-related genes(DE-PRGs).The functions of DE-PRGs were studied via Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses,and immune infiltration analysis.The hub genes were identified via protein-protein interaction(PPI)network analysis,and further screened for key genes with sustained high expression characteristics based on differential expression analysis.The relative expression levels of the key genes were verified using the reverse transcription real-time quantitative PCR(qPCR)method.Results A total of 17 DE-PRGs were screened,and PPI network analysis revealed 7 Hub genes.Among them,Casp4 continued to be up-regulated during the course of pneumonic plague.The results of reverse transcription qPCR were consistent with the those of bioinformatic analyses.Conclusion DE-PRGs play a crucial role in the immune response of pneumonic plague,especially Casp4,which has significant applications as a diagnostic biomarker and potential therapeutic target for pneumonic plague.

Objective:To evaluate the efficacy and safety of less invasive surfactant administration (LISA) combined with budesonide versus the intubation-surfactant-extubation (INSURE) technique in preterm infants (26–32 weeks’ gestation) with respiratory distress syndrome (RDS).Methods:This randomized controlled trial enrolled 136 premature infants with RDS admitted to our NICU between January 2021 and December 2023. Participants were allocated to either the LISA+budesonide group ( n = 70) or the INSURE group ( n = 66). The LISA+budesonide group received surfactant mixed with budesonide via a laryngoscope-guided catheter during noninvasive continuous positive airway pressure (NCPAP) ventilation, while the INSURE group underwent endotracheal intubation for surfactant delivery followed by extubation to NCPAP. Outcomes included adverse events during administration, blood gas parameters (PaO 2/FiO 2 [P/F ratio] and PaCO 2 at 1 h and 6 h post-administration), respiratory support duration, oxygen dependency, intubation rates within 72 h, apnea episodes, budesonide-related complications, and incidence of bronchopulmonary dysplasia (BPD). Results:The LISA+budesonide group exhibited significantly lower rates of adverse events during administration compared to the INSURE group: regurgitation (10.0% vs. 24.2%; P < 0.05), bradycardia (8.6% vs. 24.2%; P < 0.05), and oxygen desaturation (15.7% vs. 30.3%; P < 0.05). Intubation time did not differ between groups ( P > 0.05).At 1 h and 6 h post-administration, the LISA+budesonide group demonstrated higher P/F ratios ( P < 0.05), with no significant differences in PaCO 2 ( P > 0.05).The LISA+budesonide group required shorter durations of noninvasive respiratory support [(10.4 ± 4.4) d vs. (13.9 ± 5.2) d; P < 0.05] and total oxygen therapy [(15.7 ± 6.2) d vs. (19.2 ± 8.2) d; P < 0.05]. Rates of intubation within 72 h, PS re-administration, apnea episodes, weaning failure, and hospitalization length were comparable ( P > 0.05).BPD incidence was significantly lower in the LISA+budesonide group (10.0% vs. 22.7%; P < 0.05), with no increase in glucocorticoid-related complications ( P > 0.05). Conclusions:In preterm infants (26–32 weeks) with RDS, LISA with budesonide reduces adverse events during surfactant delivery, improves oxygenation, shortens respiratory support duration, and lowers BPD incidence without additional complications compared to INSURE.