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

Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People

ObjectiveTo investigate and analyze the public health status of escape room-style venues in Yangpu District， Shanghai. MethodsReferring to the hygiene standards and testing methods for public places， an investigation of the current situation and environmental monitoring were conducted in 15 escape room-style venues in Yangpu District， which involved exploring the changes in physical， chemical， and microbial indicators before and after the game. ResultsThe hygiene condition of escape room-style venues in Yangpu District was generally good， with all 19 monitoring indicators not exceeding the indoor standards. The indoor carbon dioxide （CO₂） and formaldehyde concentrations increased significantly after the game but did not exceed the standards. ConclusionThe hygiene condition of escape room-style venues in Yangpu District is good. However， potential public health risks were identified in four aspects： site selection and design， length of the game， cross-contamination， and training and management.

Objective:To identify the risk factors and to construct a predictive model for early postnatal mortality (with the first 7 days of life) in extremely preterm infants.Methods:This retrospective study involved 244 extremely preterm infants with a gestational age of 22 to 27 weeks and 6 days, born at the Affiliated Hospital of Jining Medical College from January 2017 to December 2022. They were divided into an early survival group ( n=140) and an early mortality group ( n=84), based on survival for ≥7 days after birth. LASSO and logistic regression were used to select risk factors for early mortality. A nomogram predictive model was constructed using the R software program. The goodness-of-fit tests, area under the curve (AUC), calibration curves, and decision curves were used to evaluate its performance and clinical usefulness. Results:LASSO regression and multivariate logistic regression analyses showed that breech delivery ( OR=3.055, 95% CI: 1.125-8.296), intubation in the delivery room ( OR=4.320, 95% CI: 1.328-14.053), diagnosis of grade Ⅲ-Ⅳ neonatal respiratory distress syndrome within 6 h after birth ( OR=11.552, 95% CI: 3.056-43.677), and use of adrenaline in the delivery room ( OR=10.706, 95% CI: 1.454-78.816) were risk factors for early mortality in extremely preterm infants. Conversely, large gestation age ( OR=0.234, 95% CI: 0.125-0.436), antenatal administration of corticosteroids to promote fetal lung maturity ( OR=0.046, 95% CI: 0.014-0.145), and the use of pulmonary surfactant within 6 h after birth ( OR=0.021, 95% CI: 0.004-0.122) were protective factors against mortality. The goodness of fit test of the early death risk nomogram prediction model for extremely preterm infants indicates a good fit ( P=0.702). The AUC of the model was 0.963 (95% CI: 0.943-0.983), with a sensitivity of 0.904 (95% CI: 0.806-0.949), specificity of 0.892 (95% CI: 0.829-0.938), and accuracy of 0.880. Decision curve analysis indicated that a threshold probability>2% would yield a net benefit. Conclusions:Breech delivery, intubation in the delivery room, use of adrenaline in the delivery room, and the diagnosis of grade Ⅲ-Ⅳ neonatal respiratory distress syndrome within 6 h post-birth are independent risk factors for early mortality in extremely preterm infants. Large gestational age, antenatal administration of corticosteroids to promote fetal lung maturity and use of pulmonary surfactant within 6 h after birth are protective factors. The constructed prediction model based on the aforementioned factors can quantitatively, conveniently, and intuitively assess the risk of early mortality in extremely preterm infants.

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder that damages patients' memory and cognitive abilities. Therefore, the diagnosis of AD holds significant importance. The interactions between regions of interest (ROIs) in the brain often involve multiple areas collaborating in a nonlinear manner. Leveraging these nonlinear higher-order interaction features to their fullest potential contributes to enhancing the accuracy of AD diagnosis. To address this, a framework combining nonlinear higher-order feature extraction and three-dimensional (3D) hypergraph neural networks is proposed for computer-assisted diagnosis of AD. First, a support vector machine regression model based on the radial basis function kernel was trained on ROI data to obtain a base estimator. Then, a recursive feature elimination algorithm based on the base estimator was applied to extract nonlinear higher-order features from functional magnetic resonance imaging (fMRI) data. These features were subsequently constructed into a hypergraph, leveraging the complex interactions captured in the data. Finally, a four-dimensional (4D) spatiotemporal hypergraph convolutional neural network model was constructed based on the fMRI data for classification. Experimental results on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database demonstrated that the proposed framework outperformed the Hyper Graph Convolutional Network (HyperGCN) framework by 8% and traditional two-dimensional (2D) linear feature extraction methods by 12% in the AD/normal control (NC) classification task. In conclusion, this framework demonstrates an improvement in AD classification compared to mainstream deep learning methods, providing valuable evidence for computer-assisted diagnosis of AD.
Humans ; Alzheimer Disease/diagnostic imaging* ; Neural Networks, Computer ; Magnetic Resonance Imaging/methods* ; Neuroimaging/methods* ; Diagnosis, Computer-Assisted ; Brain ; Cognitive Dysfunction

Objective:To investigate the epidemiological characteristics and relevant factors among individuals characterized by their longevity in multiple regions of Guangxi Zhuang Autonomous Region, and provide a valuable scientific perspective for the research in health and longevity of the elderly in Guangxi.Methods:Registration and face-to-face questionnaire on a door-to-door basis were adopted to collect the demographic characteristics of the long-lived individuals (≥90 years old) in Bama of Hechi city, Yongfu of Guilin city, Dongxing of Fangchenggang city, Guangxi. Then, among the local general population, individuals within the age group between 40 and 85 years old were selected randomly as controls. Correlations were then analyzed between the relative health and longevity of the subjects and their gender, ethnicity, family history, disease history, marital status, the number of family generations, the number of children, smoking, drinking, outdoor activities, sleep and other health-related factors, then the result was subject to further analysis by comparing the long-lived population and the control population respectively.Results:Among 691 500 of the permanent residents of Bama, Yongfu and Dongxing city, 1 005 cases were 90 years old and over with a ratio of 145.34 out of 100 000 persons; within the 1 005 cases, 944 were aged between 90 and 100 (longevity rate: 136.51/100 000) with an average age of (93.28±2.57); 61 cases were aged 100 or over, arriving at a centenarian rate of 8.82/100 000 with an average age of (102.00±3.05) years. Significant differences were found just among three particular factors — regional distribution ( P=0.014), history of disease ( P=0.002), four generations of family ( P=0.008) between nonagenarians and centenarians ( P<0.05), while the other 15 indicators did not show anything noteworthy. The result indicated that longevity and centenarians might be the same group and then we combined both groups into one. By cross-comparison between the longevity-plus- centenarians and the control group in the region, factors listed below exhibited significant correlation with health and longevity: marital status ( OR=26.469, 95% CI: 13.208-53.045), number of generations within the family ( OR=5.419, 95% CI: 3.418-8.592), number of male offspring ( OR=2.013, 95% CI: 1.555-2.607), number of female offspring ( OR=1.380, 95% CI: 1.122-1.696), and the frequency of outdoor activities ( OR=10.226, 95% CI: 3.164-33.045). Conclusions:The longevity rate is higher in the general natural population in Bama, Yongfu and Dongxing of Guangxi. The phenomenon may owe to favorable family structure, atmosphere within or out of the family or other elements related with social surrounding. Among them all, mentality, inclination to physical exercise and regular rhythm of life may all exert tremendous contributory influence here.

Objective:To explore the epidemiologic characteristics of long-lived population and influencing factors in Shanglin county of Guangxi and provide scientific basis for the study of health and longevity in Guangxi.Methods:We collected and analyzed the general demographic cross-sectional data of the long-lived individuals (≥90 years old) in 11 villages and towns by multi-source registration and face-to-face interview. The age group control design was adopted to conduct a comparison among the longevity group (90-100 years old), centenarian group (≥100 years old), the longevity plus centenarian group and control group (local population aged 40-85 years), and identify the factors related to longevity.Results:Among the 496 007 people registered in Shanglin, 1 533 were aged ≥90 years, including 1 453 in the longevity group, with an average age of (92.84±2.46) years, and 80 in the centenarian group, with an average age of (102.67±2.60) years. The spatial distribution of long-lived individuals and centenarians was mainly in the north and central areas, and sparse in southwest area. Analysis on factors related to health and longevity indicated that old people with Zhuang ethnic ( OR=1.551,95% CI:1.308-1.838), married ( OR=55.507,95% CI:36.087-85.377) and moderately high waist-to-hip ratio ( OR=258.056,95% CI:27.775-2 397.569), and SBP ( OR=1.019,95% CI:1.013-1.026) tended to live longer. Conclusions:We found that the rate of longevity in Shanglin was higher than the average level in Guangxi and China. Longevity in Shanglin country had unique spatial and population distribution characterics of female longevity more than male longevity, mainly Zhuang ethnic and so on. Being women, married, family history of longevity, appropriate high waist-to-hip ratio, SBP and blood sugar level might be positive factors for longevity in Shanglin, but the impacts of other factors on longevity need further study.

The current document is based on a consensus reached by a panel of experts from the Chinese Society of Allergy and the Chinese Society of Otorhinolaryngology-Head and Neck Surgery, Rhinology Group. Chronic rhinosinusitis (CRS) affects approximately 8% of Chinese adults. The inflammatory and remodeling mechanisms of CRS in the Chinese population differ from those observed in the populations of European descent. Recently, precision medicine has been used to treat inflammation by targeting key biomarkers that are involved in the process. However, there are no CRS guidelines or a consensus available from China that can be shared with the international academia. The guidelines presented in this paper cover the epidemiology, economic burden, genetics and epigenetics, mechanisms, phenotypes and endotypes, diagnosis and differential diagnosis, management, and the current status of CRS in China. These guidelines—with a focus on China—will improve the abilities of clinical and medical staff during the treatment of CRS. Additionally, they will help international agencies in improving the verification of CRS endotypes, mapping of eosinophilic shifts, the identification of suitable biomarkers for endotyping, and predicting responses to therapies. In conclusion, these guidelines will help select therapies, such as pharmacotherapy, surgical approaches and innovative biotherapeutics, which are tailored to each of the individual CRS endotypes.
Adult ; Asian Continental Ancestry Group ; Biomarkers ; China ; Consensus ; Diagnosis ; Diagnosis, Differential ; Drug Therapy ; Eosinophils ; Epidemiology ; Epigenomics ; Genetics ; Humans ; Hypersensitivity ; Inflammation ; International Agencies ; Medical Staff ; Neck ; Phenotype ; Precision Medicine

Virus infection induces the production of type I interferons (IFNs). IFNs bind to their heterodimeric receptors to initiate downstream cascade of signaling, leading to the up-regulation of interferon-stimulated genes (ISGs). ISGs play very important roles in innate immunity through a variety of mechanisms. Although hundreds of ISGs have been identified, it is commonly recognized that more ISGs await to be discovered. The aim of this study was to identify new ISGs and to probe their roles in regulating virus-induced type I IFN production. We used consensus interferon (Con-IFN), an artificial alpha IFN that was shown to be more potent than naturally existing type I IFN, to treat three human immune cell lines, CEM, U937 and Daudi cells. Microarray analysis was employed to identify those genes whose expressions were up-regulated. Six hundred and seventeen genes were up-regulated more than 3-fold. Out of these 617 genes, 138 were not previously reported as ISGs and thus were further pursued. Validation of these 138 genes using quantitative reverse transcription PCR (qRT-PCR) confirmed 91 genes. We screened 89 genes for those involved in Sendai virus (SeV)-induced IFN-β promoter activation, and PIM1 was identified as one whose expression inhibited SeV-mediated IFN-β activation. We provide evidence indicating that PIM1 specifically inhibits RIG-I- and MDA5-mediated IFN-β signaling. Our results expand the ISG library and identify PIM1 as an ISG that participates in the regulation of virus-induced type I interferon production.
Cells, Cultured ; Gene Library ; Humans ; Interferon Type I ; metabolism ; Interferon-beta ; genetics ; metabolism ; Proto-Oncogene Proteins c-pim-1 ; genetics ; Up-Regulation