Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Objective To explore the changes and influencing factors in patients' gastrointestinal symptoms and food tolerance before and after laparoscopic sleeve gastrectomy(LSG),and to provide a reference for the development of targeted gastrointestinal symptoms management program.Methods A convenience sampling method was used to select 125 patients who underwent LSG in the bariatric and metabolic surgery department of a tertiary-level hospital in Xuzhou City from June to November 2023 for a prospective observational study.The general information questionnaire,food tolerance questionnaire and Gastrointestinal Symptom Rating Scale(GSRS)were used to investigate at preoperative,3 months after surgery,and 6 months after surgery.Two-factor repeated measures variance analysis and generalized linear mixed model(GLMM)was used to analyze the influencing factors of gastrointestinal symptoms.Results 116 valid questionnaires were collected,and the GSRS scores of LSG patients at 3 time points were 21.67±5.80,23.28±4.33,and 21.22±3.18 respectively;the incidence rates of food intolerance were 0,32.75％,and 28.45％respectively.The patients' symptoms of bowel sounds,dysphagia,constipation,and dry stool were worse after surgery than before surgery(all P＜0.05),and the symptoms of bad breath,diarrhea,loose stools,and the need to defecate immediately were alleviated compared with symptoms before surgery(all P＜0.05).GLMM results showed that short meal times,poor food tolerance,and high school/technical secondary school education were risk factors for increasing gastrointestinal symptoms(all P＜0.05).Conclusion LSG could increase the prevalence of gastrointestinal symptoms such as dysphagia,dyspepsia,constipation and food intolerance.Medical staff should pay attention to the assessment of gastrointestinal symptoms in LSG patients,especially for patients with short meal time and poor food tolerance,strengthen postoperative follow-up,build targeted treatment and care plan,and prevent and reduce such uncomfortable symptoms.

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Objective:To evaluate the efficacy and feasibility of a domestically developed robotic surgical system based on fiber-optic dedicated line communication in cross-regional urological telesurgery.Methods:This was multicenter，single-arm，retrospective case series study. The data of patients who underwent urological telesurgeries using the telesurgical system between January 2023 and December 2024 were analyzed. The cohort included 59 patients from seven hospitals across China. Among the patients，47 were male（79.7%）and 12 were female（20.3%），with a median age of 63.0（56.0，68.0）years and a body mass index of（24.7 ± 3.0）kg/m 2. Surgical procedures included 32 radical prostatectomies，24 partial nephrectomies，one radical nephrectomy，one adrenalectomy，and one ureteral reconstruction. The perioperative indicators，pathological results and postoperative complications were analyzed. The network monitoring data were collected，and the perioperative data of patients，remote system monitoring data and costs were compared between the two communication modes of optical transport network（OTN）and cloud-connect network（CCN）. Results:All 59 remote surgeries were successfully completed，with a mean operative time of（138.0 ± 54.0）minutes，median intraoperative blood loss of 50.0（30.0，100.0）ml and a postoperative hospital stay of 5.0（4.0，6.0）days. No cases required reoperation，Clavien-Dindo grade ≥3 complications，or readmission. The geographical distance between the primary and remote surgical sites ranged from 450 to 2 800 km. Network monitoring revealed increased bidirectional latency with distance increasing：the shortest latency time（Hefei-Hangzhou，450 km）was（16.59 ± 0.80）ms，while the longest（Harbin-Hangzhou，2 200 km）latency time was（53.31 ± 0.31）ms. Average frame loss per procedure was 0?1.27 frames. The results of subgroup analysis comparing OTN and CCN communication modes showed no significant differences in operative time［（130.7 ± 70.5）minutes vs.（142.1 ± 42.9）minutes， P = 0.442］，postoperative hospitalization［6.0（4.0，8.0）d vs. 5.0（4.0，6.0）d， P = 0.581］，or readmission rates（0 vs. 0）. However，CCN demonstrated significant cost advantages with 500 RMB per operation vs. 3 000 RMB per operation for OTN. Conclusions:Urological telesurgery using fiber-optic communication is feasible. The CCN mode，with its cost-effectiveness，excellent usability，and multi-point interconnection flexibility，is currently the preferred communication model for telesurgical applications.

Bovine rotavirus(BRV)is an important pathogen causing diarrhea in calves.To understand the genomic charac-teristics and genetic variations in bovine rotavirus,and to further enrich data on the biological characteristics of rotavirus,we aimed to amplify 11 gene segments of the isolated and cultured G6P[1]bovine rotavirus BLL strain,perform whole genome se-quencing,and analyze the molecular characteristics.MEGA7.0 and DNAMAN software were used for homology and typing a-nalysis,and the whole genome phylogenetic tree was constructed to analyze genetic evolution relationships.The complete geno-type of the BLL strain was G6-P[1]-I2-R2-C2-M2-A3-N2-T6-E2-H3.Phylogenetic analysis of the VP7 and VP4 genes of the BLL strain showed that the VP7 gene had the highest homology with RVA/Cow-wt/HB01/China/2021,and the VP4 gene of the BLL strain was in the same branch as RVA/Human-tc/ISR/Ro8059/1995.From the sequence alignment of VP8*amino acids,the sialic acid domain of the BLL strain was found to be similar to that in other P[1]strains,but different from those in other types of strains,except for residue 189,which was the same as that in Ro8059 but different from that in other strains.The results suggested that the BLL strain might potentially infect humans.Therefore,continued monitoring and study of the biological characteristics of this strain are necessary to provide more information and evidence supporting further research on the cross-species transmission of group A rotavirus in China.

Nitrogen oxides(NOx=NO+NO2)are important precursors of ozone(O3),and NOx and its oxides together constitute reactive nitrogen oxides(NOy)in the atmosphere.A comprehensive understanding of the total NOy level in the atmosphere is of great significance for a deeper understanding of the atmospheric nitrogen cycle and oxidation,as well as for formulating strategies for air pollution prevention and control.In this work,a thermal decomposition-broadband cavity enhanced absorption spectroscopy(TD-BBCEAS)technique for online measurement of total NOy in the atmosphere was developed.With this method,the NOy was efficiently converted into NO2,and the total NOy concentration in the atmosphere was indirectly obtained by measuring NO2.Focusing on the key factors affecting the measurement of total NOy,the influence of NO titration efficiency and other NOy component TD efficiency on measurement accuracy was emphasized.By changing the oxygen(O2)flow rate through the mercury lamp to alter the O3 concentration for titrating NO,the conversion efficiency of NO was evaluated.At O2 flow rate of 6 mL/min,the conversion efficiency of NO was greater than 99%.TD efficiency testing and analysis on NO2,peroxyacetyl nitrate(PAN),nitric acid(HNO3),and nitrous acid(HONO),which account for a large proportion of atmospheric NOy components,was carried out using 680℃as the optimal TD temperature for efficient conversion of NOy.With NO and HONO sample gases as typical verification gases,the conversion efficiency of NOy and the accuracy of NOy measurement by TD-BBCEAS system were verified by switching the on and off modes of mercury lamp and TD device.At integration time of 60 s,the detection limit of the system for NOy was 2.83×1010 molecules/cm3(60 s,2σ).A comparative measurement of actual atmospheric NOy was conducted between the TD-BBCEAS system and the NOy analyzer.The observation results showed a correlation coefficient(R2)of 0.98 and a slope of 0.93,further verifying the feasibility and accuracy of applying the TD-BBCEAS system to measurement of total NOy.

A quantitative analytical method was established for 275 kinds of metabolites in plasma based on ultra-high performance liquid chromatography-triple quadrupole mass spectrometry/multiple reaction monitoring-selected ion monitoring(UHPLC-QQQ-MS/MRM-SIM)technique.Based on UHPLC-high resolution(HRMS)/full MS-parallel reaction monitoring(PRM)technique,165 kinds of lipid metabolites in plasma were qualitatively identified and quantitatively detected to address the analytical challenges of lipid isomers.This quantitative metabolomics approach was successfully applied to a rat myocardial infarction study,identifying and quantifying 372 kinds of metabolites in total.Comparative analysis with the sham-operated group revealed significant alterations in 59 kinds of plasma metabolites in myocardial infarction rats.Key metabolic pathways,which included amino acid metabolism(alanine,aspartate,and glutamate metabolism;glycine,serine,and threonine metabolism,etc.),one-carbon unit metabolism,and tricarboxylic acid cycle,were significantly disrupted.

Objective To evaluate and further optimize the quality control measures in the field of queue by comparing and analyzing the quality of physical data before and after optimization.Methods 17 420 physical data collected in 2020 and 12 762 physical data collected in 2021 were used in the natural population cohort study of West China Hospital of Sichuan University.The data in 2020(before optimization)and 2021(after optimization)were evaluated and compared from multiple dimensions such as normalization,completeness,logic,accuracy and consistency.Results Compared to 2020,data quality in 2021 showed a significant improvement.The proportion of abnormal data decreased significantly from 1978(11.35%)to 276(2.16%),and the difference was statistically significant(P<0.05).Specifically,the number of abnormal blood pressure data decreased from 143(0.82%)to 67(0.52%),and waist circumference data decreased significantly from 1777(10.20%)to 113(0.89%).In terms of data integrity and logical evaluation,the performance in 2021 was also generally better than that in 2020,and the difference was also statistically significant(P<0.05).Conclusion It is very important to optimize and adjust the collection process of physical data and realize integrated information system management for improving data quality.

Biosensors based on acetylcholinesterase (AChE) are crucial for early diagnosis, less invasive treatment, and drug evaluation of Alzheimer's disease (AD). However, existing technologies often suffer from enzyme conformational changes, leading to altered activity and loss and reduced sensor efficacy. To address this challenge, we developed a novel right-side-out-oriented red blood cell membrane-coated electrochemical biosensors (ROCMCBs) to evaluate AChE inhibitors from traditional Chinese medicines (TCMs) as potential anti-AD agents. The developed right-side-out-oriented coating based on immunoaffinity not only fully exposed the binding sites of AChE on the cell membrane but also ensured its conformation and stability as a peripheral membrane-anchoring protein, which was conducive to maintaining its biological activity and producing optimal interaction with drugs. At the same time, the biosensors exhibited a satisfactory sensitivity (limit of detection = 0.41 pmol/L). Ultimately, six potentially active compounds against AD (baicalin, geniposide, gastrodin, berberine, rhynchophylline, and senkyunolide A) were rapidly identified and evaluated from TCMs. This project provides a promising strategy for developing cell membrane-coated electrochemical biosensors. The application of cell membrane-coated electrochemical biosensors with well-defined cell membrane orientation further expands new perspectives and methods for AChE-targeted anti-AD research.

Objective:To analyze the epidemiological characteristics and influencing factors of single-cigarette use and dual cigarette-cigar use in China.Methods:This study was a cross-sectional study that selected 85 638 urban and rural residents who met the inclusion criteria from the 2018 China Health Literacy Survey as research subjects. An analysis was conducted on 21 849 users of cigarettes and cigars among them. Due to the small number of individuals who exclusively used cigars (247 cases), the research subjects were divided into two categories: exclusive cigarette users and dual users of cigarettes and cigars. The groups were categorized by age (18-34 years, 35-54 years, ≥55 years), gender (male, female), education level (primary school and below, junior high school and high school, university and above) and annual household income (<20 000 yuan, 20 000-<80 000 yuan, ≥80 000 yuan) to compare the tobacco usage rate and conduct subgroup analyses for each subgroup. Multivariate logistic regression analysis was employed, incorporating general demographic characteristic information to explore the influencing factors of exclusive cigarette use and dual use of cigarettes and cigars, respectively.Results:The rate of exclusive cigarette use in our country was 24.3%, while the dual use rate of cigarettes and cigars was 0.9%. The exclusive cigarette use rate and the dual use rate of cigarettes and cigars among males were significantly higher than those among females (48.25% vs 2.48%, and 1.84% vs 0.06%) (both P<0.001). For males, the high-risk factors for exclusive cigarette use included living in urban areas ( OR: 1.37, 95% CI: 1.23-1.54), being Han ethnicity ( OR: 1.73, 95% CI: 1.51-1.98), and having an annual household income ≥20 000 yuan ( OR: 1.54, 95% CI: 1.38-1.82) while having a junior high school education or higher was a protective factor ( OR: 0.68, 95% CI: 0.52-0.90). Age≥35 years ( OR: 3.36, 95% CI: 2.62-4.32) and having a junior high school education or higher ( OR: 1.30, 95% CI: 1.02-1.67) were risk factors for dual use of cigarettes and cigars in males. Among females, living in urban areas ( OR: 1.53, 95% CI: 1.19-1.97) and being Han ethnicity ( OR: 5.96, 95% CI: 4.47-7.96) were risk factors for exclusive cigarette use, while having a university education or higher was a protective factor ( OR: 0.28, 95% CI: 0.18-0.42). However, for female dual use of cigarettes and cigars, no significant effects were observed for any demographic characteristics. Conclusions:The use rate of cigarettes alone in China is significantly higher than that of cigarette-cigar dual use, and the rates of cigarette use alone and cigarette-cigar dual use in men are significantly higher than those in women. Tobacco use is being affected by sociodemographic factors, among which place of residence, ethnicity and education level are the main influencing factors of cigarette use alone, and gender, age and education level are the main influencing factors of cigarette-cigar dual use.