Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

OBJECTIVE To explore the potential mechanism of ketamine-induced cognitive impairment in mice based on metabolomics. METHODS Male C57BL/6 mice were randomly divided into control group and ketamine group （25 mg/kg）， with 12 mice in each group. Each group of mice was intraperitoneally injected with normal saline or corresponding drugs， 4 times a day， for 10 consecutive days. On the last 2 days of drug administration， the cognitive behavior was evaluated by Y maze and novel object recognition test， and the histopathological changes in the prefrontal cortex （PFC） were observed. Ultra-high performance liquid chromatography-tandem mass spectrometry technology was used to analyze the changes of metabolites in PFC， screen for differential metabolites， and perform pathway enrichment analysis. RESULTS Compared with the control group， the morphology of PFC neurons in the ketamine group of mice was inconsistent. There were cavities around the nucleus， and the number of deeply stained cells increased. The mean optical density value of the Nissl staining positive area was significantly reduced， and the alternation rate and discrimination index were significantly reduced （P＜0.05 or P＜0.01）. In the PFC tissue samples of mice of the two groups， there were a total of 114 differential metabolites， including 73 up-regulated and 41 down-regulated metabolites， including glutamine， succinic acid， ketoglutarate， and choline， etc. The differential metabolites mentioned above were mainly enriched in metabolism of alanine， aspartate and glutamate， metabolism of arginine and proline， γ aminobutyric acid synapses， pyrimidine metabolism， cholinergic synapses pathways， etc. CONCLUSIONS Ketamine can induce cognitive impairment in mice. Its neurotoxicity is related to abnormal synaptic transmission and energy metabolism， and neuroimmune regulation disorders.

OBJECTIVE: To investigate short-term effectiveness of robot-assisted fracture reduction and fixation combined with arthroscopic exploration for posterolateral depressed tibial plateau fractures. METHODS: Between January 2022 and January 2024, 8 patients with posterolateral depressed tibial plateau fractures (Schatzker type Ⅲ) were treated using robot-assisted fracture reduction and fixation combined with arthroscopic exploration, with simultaneous treatment of concomitant ligament or meniscus tears. There were 3 males and 5 females with an average age of 54.1 years (range, 42-68 years). Injury mechanisms included traffic accidents (3 cases) and falls (5 cases). The time from injury to operation ranged from 2 to 4 days (mean, 3.1 days). Operation time, intraoperative blood loss, hospital stay duration, visual analogue scale (VAS) score for pain, and complications were recorded. Fracture healing and knee Rasmussen scores were assessed radiographically, while knee function was evaluated using range of motion and Hospital for Special Surgery (HSS) scores. RESULTS: All operations were successfully completed. The operation time was 108-129 minutes (mean, 120.1 minutes). The intraoperative blood loss was 10-100 mL (mean, 41.3 mL). The hospital stay duration was 4-7 days (mean, 5.6 days). All incisions healed by first intention without complication such as peroneal nerve injury, vascular damage, or infection. All patients were followed up 32-48 weeks (mean, 40 weeks). Radiographic follow-up confirmed that the knee Rasmussen scores rated as excellent in 8 patients and all fractures healed with the healing time of 12-16 weeks (mean, 13.5 weeks). The VAS score for pain was 2-4 (mean, 2.8) at discharge and improved to 0 at 1 month after operation. The knee range of motion was 80°-110° (mean, 96.1°) at discharge and increased to 135°-140° (mean, 137.9°) at 1 month after operation. At 3 months after operation, the HSS score was 91-94 (mean, 92.8), all graded as excellent. No severe complication, including implant failure, occurred during follow-up. CONCLUSION For posterolateral depressed tibial plateau fractures, the minimally invasive approach combining robot-assisted fracture reduction and fixation with arthroscopic exploration demonstrates multiple advantages, including shorter operation time, reduced intraoperative blood loss, excellent wound healing, fewer complications, and rapid recovery of knee function. This technique achieves satisfactory short-term effectiveness, while its long-term effectiveness requires further evaluation.
Humans ; Male ; Tibial Fractures/surgery* ; Female ; Middle Aged ; Adult ; Arthroscopy/methods* ; Minimally Invasive Surgical Procedures/methods* ; Fracture Fixation, Internal/methods* ; Aged ; Treatment Outcome ; Robotic Surgical Procedures/methods* ; Operative Time ; Range of Motion, Articular ; Fracture Healing ; Length of Stay ; Tibial Plateau Fractures

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

In recent years,with the continuous advancement of deep space exploration missions,astronauts have been increasingly exposed to complex and extreme environmental factors in space,such as microgravity,space radiation,circadian rhythm disruption,and confined isolation.These conditions can easily induce brain dysfunction in astronauts,manifesting as cognitive decline,emotional disturbances,sleep disorders,and neuroinflammatory responses.Traditional Chinese Medicine(TCM),characterized by its holistic regulation and syndrome differentiation-based treatment principles,exhibits multi-target regulation and systemic coordination,and has attracted growing attention in the field of brain function protection.This study systematically reviews the protective applications and research progress of TCM and related techniques in both actual spaceflight missions and simulated space environment models against brain functional disorders.The underlying mechanisms and future prospects are discussed,with the aim of providing insights for safeguarding astronauts'brain health and laying a theoretical foundation for the precise intervention and systematic protection strategies of TCM in future deep space missions.

Objective To develop a multiplex PCR assay for simultaneous detection of four intestinal parasites, including Giardia duodenalis, Cryptosporidium parvum, Enterocytozoon bieneusi and Moniezia, and to preliminarily evaluate its detection efficiency. Methods Four pairs of specific primers were designed based on the conserved sequences of the corresponding genes of G. duodenalis (GenBank accession number: XM_001710026.2), C. parvum (GenBank accession number: XM_626998.1), E. bieneusi (GenBank accession number: KJ719492.1) and Moniezia (GenBank accession number: OM296991.1) retrieved from the GenBank database, and a multiplex PCR assay for simultaneous detection of G. duodenalis, C. parvum, E. bieneusi and Moniezia was developed and optimized. A total of 116 fresh goat stool samples were collected from four goat farms in Zhanjiang City, Guangdong Province during the period from October to December 2022, including 96 samples used for evaluating the detection efficacy of the multiplex PCR assay, and 20 samples as baseline controls for sample testing. Genomic DNA extracted from 96 goat stool samples was tested using the single-target PCR assay and the developed multiplex PCR assay, and the sensitivity, specificity, positive predictive value, and negative predictive value of the multiplex PCR assay were evaluated for detection of G. duodenalis, C. parvum, E. bieneusi and Moniezia DNA in goat stool samples with the single-target PCR assay as the gold standard. Results The multiplex PCR assay developed in this study allowed simultaneous amplification of specific gene fragments of G. duodenalis, C. parvum, E. bieneusi and Moniezia, with 1 400, 755, 314 bp and 585 bp in sizes, respectively, and the detection limit was 10² and higher copies of parasite DNA clones, while the multiplex PCR assay was negative for gene amplification of Schistosoma japonicum, Fasciola hepatica, Echinococcus granulosus, Blastocystis hominis and Homalogaster paloniae. Single-target PCR assay and the developed multiplex PCR assay were employed to test DNA samples extracted from 96 goat stool samples, and single-target PCR assay tested positive in 40 goat stool samples (41.67%), including 39 positive samples tested with the multiplex PCR assay, with a mean coincidence rate of 97.50% (39/40). The multiplex PCR assay tested positive for G. duodenalis DNA in 26 goat stool samples (27.10%), C. parvum DNA in 22 samples (22.90%), E. bieneusi DNA in 24 samples (25.00%), and Moniezia in 9 samples (9.40%), which was consistent with the detection using the single-target PCR assay. The sensitivity, negative predictive value, and positive predictive value of the multiplex PCR assay were 96.15%, 95.83%, 100.00% and 100.00%, 98.90%, 98.92%, 100.00% and 100.00%, 100.00%, 100.00%, 100.00% and 100.00% for detection of G. duodenalis, C. parvum, E. bieneusi and Moniezia DNA in goat stool samples, respectively, if the single-target PCR assay served as the gold standard. Conclusion A highly sensitive and specific multiplex PCR assay has been developed for simultaneous detection of G. duodenalis, C. parvum, E. bieneusi and Moniezia in goats, which is suitable for rapid, large-scale screening of intestinal parasites in sheep stool samples.

Objective: To explore the association between dietary behaviors and sleep duration among middle school students in Shanghai, so as to provide reference for interventions targeting insufficient sleep. Methods: From May to June 2021, a stratified cluster random sampling method was employed to select a sample of 10-17yearold middle school students for monitoring their healthrisk behaviors. A total of 5 538 valid questionnaires were collected. The survey included items such as daily sleep duration, weekly consumption of sugary beverages, freshly squeezed fruit juice, fresh fruits, fresh vegetables, fried foods, milk and yogurt, breakfast habits, and frequency of eating outside. Statistical analysis was conducted using Chisquare test, Wilcoxon ranksum test, and multivariable Logistic regression model. Results: About 73.7% of middle school students reported insufficient sleep in Shanghai. There was a positive correlation between the average daily consumption of fresh fruits and breakfast consumption with sleep duration. In other words, a higher frequency of consuming fresh fruits (OR=1.29) and eating breakfast (OR=1.07) were associated with a higher likelihood of sufficient sleep. Conversely, there was a negative correlation between the frequency of consuming desserts (OR=0.78) and fried foods (OR=0.88) and sleep duration (P<0.05). Conclusions Increasing the consumption of fresh fruits and maintaining regular breakfast habits while reducing the intake of fried foods can contribute to achieving sufficient sleep among middle school students. When implementing interventions to improve sleep among middle school students, promoting healthy and balanced diets can be considered as one of the intervention strategies.

Objective: To explore the current status and associated factors of bullying behavior among middle school students in Shanghai, so as to provide a reference basis for carrying out bullying intervention work. Methods: From May to June 2021, a stratified cluster sampling method was used to select 19 000 middle school students from 63 schools in 16 districts of Shanghai, and the Shanghai Youth Health Risk Behavior Survey Questionnaire was used to conduct an anonymous questionnaire survey of enrolled students. Chi square test and binary Logistic regression analysis were employed to investigate the associated factors of bullying among middle school students. Results: The prevalence of bullying behaviors in Shanghai was 15.5%, with males and junior high school students exhibiting the higher reporting rate(19.5%,17.2%). And malicious teasing or name calling had the highest reported rate at 9.4%. The results of binary Logistic regression analysis showed that fighting ( OR =5.02), attempting to smoke ( OR =3.22), having a feeling of sadness and hopelessness ( OR =2.50) and getting drunk( OR =1.72) were positively associated with bullying behavior among middle school students. Fighting ( OR =3.83-8.97), attempting to smoke ( OR =2.92-5.52), having a feeling of sadness and hopelessness ( OR =2.40-4.34), and getting drunk ( OR =1.66-2.34) were positively correlated with 6 forms of bullying (malicious teasing or name calling, intentionally damaging someone else s belongings, deliberately excluding someone from activities or isolating someone, threatening or intimidating others, hitting, kicking, or pushing someone, and verbally harassing or attacking someone online) ( P <0.05). Conclusions Bullying behavior of middle school students in Shanghai primarily presents as verbal harassment. In the future, greater attention should be directed towards bullies, and it should recognize potential hazards promptly and implement precise intervention measures.

Cardiovascular disease is the leading cause of death among Chinese residents, and non-invasive imaging technology has important value in the diagnosis and treatment of cardiovascular disease. Cardiac magnetic resonance (CMR) can characterize cardiac pathophysiological information from multiple dimensions, including cardiac structure, function, tissue characteristics, and microstructure, through multi parameter and multi sequence " one-stop" imaging. This article will focus on new technologies such as CMRT1 mapping, feature tracking, and diffusion tensor imaging, and explain their applications and progress in the diagnosis, efficacy monitoring, and prognosis prediction of various myocardial lesions such as non ischemic heart disease and ischemic heart disease.