Objective:To explore the influencing factors of dietary habits on the progression from prediabetes to type 2 diabetes mellitus(T2DM)in elderly individuals undergoing health check-ups.Methods:In the cross-sectional study, we enrolled individuals aged 60-70 years with fasting plasma glucose (FPG)≥6.0 mmol/L who underwent health examinations at the Health Management Medical Center of Wenjiang District People's Hospital in Chengdu from 2019 to 2022.Demographic characteristics, dietary habit questionnaires, and FPG values were collected.Unconditional binary logistic regression analysis was used to identify factors influencing the natural progression from prediabetes to T2DM.A nomogram prediction model was established based on logistic regression results, and its predictive performance was evaluated by calculating the C-statistics and drawing a calibration curve.Results:A total of 13 681 elderly participants with FPG ≥6.0 mmol/L were included, comprising 4 306(31.5%)prediabetes cases(FPG 6.0-7.0 mmol/L), aged(63.54±16.49)years and 9 375(68.5%)T2DM cases(FPG>7.0 mmol/L), aged(63.09±16.21)years.Unconditional binary logistic regression analysis showed that frequent breakfast( OR=0.777, 95% CI: 0.696-0.868, P<0.001), dietary preference for light diet( OR=0.781, 95% CI: 0.710-0.858, P<0.001), salty taste( OR=0.571, 95% CI: 0.504-0.648, P<0.001), raw food( OR=0.327, 95% CI: 0.224-0.478, P<0.001)and spicy taste( OR=0.124, 95% CI: 0.112-0.137, P<0.001)were the protective factors for the conversion of prediabetes to the T2DM stage in the elderly physical examination population.While fast eating rate( OR=4.327, 95% CI: 3.978-4.772, P<0.001), dietary preference for sweets( OR=5.168, 95% CI: 4.703-5.678, P<0.001), and high-fat diet( OR=1.401, 95% CI: 1.275-1.539, P<0.001)were risk factors for conversion of prediabetes to T2DM stage.C-statistic of the Nomogram prediction model was 0.781; the goodness-of-fit test of the calibration curve was χ2=11.258, P=0.188, and the model predicted well. Conclusions:Regular breakfast, light diet, and dietary preferences for salty, raw, and spicy foods were protective factors for the transition from prediabetes to T2DM stage, whereas rapid eating rate, preference for sweets, and high-fat diets were risk factors for the transition from prediabetes to T2DM stage in the medical examination population.The constructed risk prediction model helped to find out the magnitude of the risk of T2DM in an individual, which increases the evidence for the transition from prediabetes to T2DM stage prevention evidence.

Objective:To analyze the genetic characteristics of hemagglutinin（HA）and neuraminidase（NA）of influenza A（H1N1）pdm09 viruses in Kunming during the 2022-2023 influenza season.Methods:A total of 15 strains of A（H1N1）pdm09 influenza virus isolated from sentinel hospital surveillance and from outbreaks from April 2022 to March 2023 in Kunming were chosen for sequencing. The genetic analysis，which included sequence alignment，homology analysis，construction of phylogenetic tree and amino-acid mutations analysis，was carried out using MAFFT version 7，MegAlign and MEGA 11.Results:Fourteen strains isolated during the 2022-2023 influenza season in Kunming belong to clade 6B.1A.5a.2a，and A/Kunming/284/2023 belonged to clade 6B.1A.5a.2a.1. They all diverged from the northern hemisphere vaccine strain A/Wisconsin/588/2019 in clade 6B.1A.5a.2 recommended by WHO during the 2022-2023 influenza season. Comparing with the HA of the vaccine strain：A186T and Q189E，which might cause the reduction of vaccine protection，were identified in Sb of 14 strains；P137S，K142R in Ca and A186T，Q189E in Sb were identified in A/Kunming/284/2023 and two strains isolated from Thailand. The four mutations at tow antigenic sites identified immune escape at the molecular level. Q189E in the 190-helix and E224A in the 220-loop，which might change the pathogenicity of A（H1N1）pdm09 viruses，were identified in 15 strains. Comparing with NA of the vaccine strain：S200N in 14 strains and S339L in 1 strain were identified in antigenic sites. The two mutations might reduce the protection of antibodies induced by NA.Conclusion:Strengthening influenza surveillance and timely detecting new variants in Kunming contributes to preventing the importation of foreign strains and issuing early warnings for influenza outbreaks.

Objective To investigate the bidirectional causal relationship between circulating amino acid levels and the risk of myasthenia gravis(MG)using Mendelian randomization(MR).Methods A two-sample Mendelian randomization a-nalysis was conducted using publicly available genome-wide association study(GWAS)genetic data,with validation from GWAS data from different sources to assess the robustness of the results.Five models were used for the two-sample bidirectional MR anal-ysis,and odds ratios(OR)were calculated to evaluate the causal relationship between the levels of nine circulating amino acids and MG risk.Sensitivity analyses,heterogeneity tests,and pleiotropy tests were performed to assess the robustness of the results.The causal effect estimated by the inverse variance weighted(IVW)method was the primary result,and the IVW-estimated causal effects were further validated using data from different GWAS sources to assess robustness.Results Genetically predicted high-er circulating glutamine levels were significantly associated with a lower risk of MG[OR(95％CI)=0.696(0.524,0.926),P=0.012 7,IVW model].Validation analyses using GWAS data from various sources also demonstrated a significant negative associa-tion between genetically predicted higher circulating glutamine levels and MG risk[OR(95％CI)=0.321(0.178,0.581),P=1.67x10-1,IVW model].Moreover,genetically predicted higher MG risk was associated with lower levels of circulating glutamine and alanine(β=-0.178±0.009,P=0.049;β=-0.013±0.007,P=0.048,IVW model,respectively).Conclusion Genetic evidence reveals a potential bidirectional causal relationship between circulating amino acid levels and MG risk.Further studies are required to elucidate the mechanisms underlying this relationship.

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

Objective:To investigate the roles of simulated participants in the facilitation of medical scenarios simulation-based course and to provide a reference for the standardized construction of medical scenarios simulation-based course.Methods:Thirty scenario simulation-based teaching sessions on perioperative crisis events conducted during the 2022-2023 academic year were observed on-site. The performance of simulated participants in facilitating case execution and the skills used in facilitation were observed and recorded. At the end of the course, surveys regarding facilitation were administered to students, simulated participants, and instructors for analysis.Results:In the facilitation of 30 scenario simulation-based teaching sessions on perioperative crisis events, the roles of simulated participants included surgeon, anesthesia nurse, circuit nurse, and standardized patient. Two simulated participants accounted for 80.00% and three participants for 20.00% of the total sessions. The simulated participants performed excellently in helping the learners quickly integrate into the scenario and controlling the direction of the case, with an excellence rate of 90.00%-100.00%. However, they had some variations in driving the progress of the case and responding to unexpected situations, with an excellence rate of 50.00%-60.00%. The facilitation skills used by simulated participants included hinting, prompting, and instructing. The performance of facilitation was closely related to the use of skills by the simulated participants. Simulated participants with proficient skill usage significantly enhanced teaching effectiveness. Post-session surveys revealed that learners generally perceived simulated participants as having a positive impact on facilitation, and both simulated participants and instructors emphasized the need for strengthened communication prior to simulation-based teaching.Conclusions:The simulated participants played important roles in guiding learners, advancing case progression, and achieving teaching objectives. Instructors should not only consider the scripting of simulated participants during lesson planning but also prioritize their training and communication during course implementation.

Objective:To explore changes in brain activity in patients with post-traumatic stress disorder(PTSD).Methods:A total of 40 participants involved in car accidents were included,and functional magnetic reso-nance imaging(fMRI)scans were collected within one week.Anxiety,depression,and personality assessments were conducted with the Hamilton Anxiety Scale(HAMA),Hamilton Depression Scale(HAMD),and Eysenck Person-ality Scale for Adult(EPQ).After two months,a second fMRI scan was conducted,and a PTSD diagnosis was made.Participants were divided into a trauma-exposed group(n=23)and a PTSD group(n=17)based on wheth-er they developed PTSD.Changes in brain functional activity between the trauma-exposed group and the PTSD group were compared using the percentage of amplitude fluctuation(perAF)method.Results:Compared to the trauma-exposed group,the PTSD group showed a decreased perAF value in the left hippocampus at 1 week,and de-creased perAF values in the right mid-cingulate gyrus and left postcentral gyrus at 2 months(P＜0.05).When comparing the PTSD group at different times,the perAF values in the left middle temporal gyrus and left medial su-perior frontal gyrus decreased at 2 months(P＜0.05).Correlation analysis revealed that PCL-5 scores were posi-tively correlated with EPQ Psychoticism(r=0.32,P=0.041),HAMA(r=0.35,P＜0.05),and HAMD(r=0.34,P＜0.05).Regression analysis found that higher scores of EPQ psychoticism(OR=11.79)and HAMA(OR=1.62)were risk factors for post-accident PTSD,while higher scores of EPQ extraversion(OR=0.32)were pro-tective factors.Conclusion:It suggests that patients with post-traumatic stress disorder may show decreased activity in the right middle cingulate cortex,left postcentral gyrus,left middle temporal gyrus,and left medial superior fron-tal gyrus within two months after the traumatic event.

Objective:To explore changes in brain activity in patients with post-traumatic stress disorder(PTSD).Methods:A total of 40 participants involved in car accidents were included,and functional magnetic reso-nance imaging(fMRI)scans were collected within one week.Anxiety,depression,and personality assessments were conducted with the Hamilton Anxiety Scale(HAMA),Hamilton Depression Scale(HAMD),and Eysenck Person-ality Scale for Adult(EPQ).After two months,a second fMRI scan was conducted,and a PTSD diagnosis was made.Participants were divided into a trauma-exposed group(n=23)and a PTSD group(n=17)based on wheth-er they developed PTSD.Changes in brain functional activity between the trauma-exposed group and the PTSD group were compared using the percentage of amplitude fluctuation(perAF)method.Results:Compared to the trauma-exposed group,the PTSD group showed a decreased perAF value in the left hippocampus at 1 week,and de-creased perAF values in the right mid-cingulate gyrus and left postcentral gyrus at 2 months(P＜0.05).When comparing the PTSD group at different times,the perAF values in the left middle temporal gyrus and left medial su-perior frontal gyrus decreased at 2 months(P＜0.05).Correlation analysis revealed that PCL-5 scores were posi-tively correlated with EPQ Psychoticism(r=0.32,P=0.041),HAMA(r=0.35,P＜0.05),and HAMD(r=0.34,P＜0.05).Regression analysis found that higher scores of EPQ psychoticism(OR=11.79)and HAMA(OR=1.62)were risk factors for post-accident PTSD,while higher scores of EPQ extraversion(OR=0.32)were pro-tective factors.Conclusion:It suggests that patients with post-traumatic stress disorder may show decreased activity in the right middle cingulate cortex,left postcentral gyrus,left middle temporal gyrus,and left medial superior fron-tal gyrus within two months after the traumatic event.

Objective To investigate the bidirectional causal relationship between circulating amino acid levels and the risk of myasthenia gravis(MG)using Mendelian randomization(MR).Methods A two-sample Mendelian randomization a-nalysis was conducted using publicly available genome-wide association study(GWAS)genetic data,with validation from GWAS data from different sources to assess the robustness of the results.Five models were used for the two-sample bidirectional MR anal-ysis,and odds ratios(OR)were calculated to evaluate the causal relationship between the levels of nine circulating amino acids and MG risk.Sensitivity analyses,heterogeneity tests,and pleiotropy tests were performed to assess the robustness of the results.The causal effect estimated by the inverse variance weighted(IVW)method was the primary result,and the IVW-estimated causal effects were further validated using data from different GWAS sources to assess robustness.Results Genetically predicted high-er circulating glutamine levels were significantly associated with a lower risk of MG[OR(95％CI)=0.696(0.524,0.926),P=0.012 7,IVW model].Validation analyses using GWAS data from various sources also demonstrated a significant negative associa-tion between genetically predicted higher circulating glutamine levels and MG risk[OR(95％CI)=0.321(0.178,0.581),P=1.67x10-1,IVW model].Moreover,genetically predicted higher MG risk was associated with lower levels of circulating glutamine and alanine(β=-0.178±0.009,P=0.049;β=-0.013±0.007,P=0.048,IVW model,respectively).Conclusion Genetic evidence reveals a potential bidirectional causal relationship between circulating amino acid levels and MG risk.Further studies are required to elucidate the mechanisms underlying this relationship.

Objective:To investigate the roles of simulated participants in the facilitation of medical scenarios simulation-based course and to provide a reference for the standardized construction of medical scenarios simulation-based course.Methods:Thirty scenario simulation-based teaching sessions on perioperative crisis events conducted during the 2022-2023 academic year were observed on-site. The performance of simulated participants in facilitating case execution and the skills used in facilitation were observed and recorded. At the end of the course, surveys regarding facilitation were administered to students, simulated participants, and instructors for analysis.Results:In the facilitation of 30 scenario simulation-based teaching sessions on perioperative crisis events, the roles of simulated participants included surgeon, anesthesia nurse, circuit nurse, and standardized patient. Two simulated participants accounted for 80.00% and three participants for 20.00% of the total sessions. The simulated participants performed excellently in helping the learners quickly integrate into the scenario and controlling the direction of the case, with an excellence rate of 90.00%-100.00%. However, they had some variations in driving the progress of the case and responding to unexpected situations, with an excellence rate of 50.00%-60.00%. The facilitation skills used by simulated participants included hinting, prompting, and instructing. The performance of facilitation was closely related to the use of skills by the simulated participants. Simulated participants with proficient skill usage significantly enhanced teaching effectiveness. Post-session surveys revealed that learners generally perceived simulated participants as having a positive impact on facilitation, and both simulated participants and instructors emphasized the need for strengthened communication prior to simulation-based teaching.Conclusions:The simulated participants played important roles in guiding learners, advancing case progression, and achieving teaching objectives. Instructors should not only consider the scripting of simulated participants during lesson planning but also prioritize their training and communication during course implementation.

Objective:To explore the influencing factors of dietary habits on the progression from prediabetes to type 2 diabetes mellitus(T2DM)in elderly individuals undergoing health check-ups.Methods:In the cross-sectional study, we enrolled individuals aged 60-70 years with fasting plasma glucose (FPG)≥6.0 mmol/L who underwent health examinations at the Health Management Medical Center of Wenjiang District People's Hospital in Chengdu from 2019 to 2022.Demographic characteristics, dietary habit questionnaires, and FPG values were collected.Unconditional binary logistic regression analysis was used to identify factors influencing the natural progression from prediabetes to T2DM.A nomogram prediction model was established based on logistic regression results, and its predictive performance was evaluated by calculating the C-statistics and drawing a calibration curve.Results:A total of 13 681 elderly participants with FPG ≥6.0 mmol/L were included, comprising 4 306(31.5%)prediabetes cases(FPG 6.0-7.0 mmol/L), aged(63.54±16.49)years and 9 375(68.5%)T2DM cases(FPG>7.0 mmol/L), aged(63.09±16.21)years.Unconditional binary logistic regression analysis showed that frequent breakfast( OR=0.777, 95% CI: 0.696-0.868, P<0.001), dietary preference for light diet( OR=0.781, 95% CI: 0.710-0.858, P<0.001), salty taste( OR=0.571, 95% CI: 0.504-0.648, P<0.001), raw food( OR=0.327, 95% CI: 0.224-0.478, P<0.001)and spicy taste( OR=0.124, 95% CI: 0.112-0.137, P<0.001)were the protective factors for the conversion of prediabetes to the T2DM stage in the elderly physical examination population.While fast eating rate( OR=4.327, 95% CI: 3.978-4.772, P<0.001), dietary preference for sweets( OR=5.168, 95% CI: 4.703-5.678, P<0.001), and high-fat diet( OR=1.401, 95% CI: 1.275-1.539, P<0.001)were risk factors for conversion of prediabetes to T2DM stage.C-statistic of the Nomogram prediction model was 0.781; the goodness-of-fit test of the calibration curve was χ2=11.258, P=0.188, and the model predicted well. Conclusions:Regular breakfast, light diet, and dietary preferences for salty, raw, and spicy foods were protective factors for the transition from prediabetes to T2DM stage, whereas rapid eating rate, preference for sweets, and high-fat diets were risk factors for the transition from prediabetes to T2DM stage in the medical examination population.The constructed risk prediction model helped to find out the magnitude of the risk of T2DM in an individual, which increases the evidence for the transition from prediabetes to T2DM stage prevention evidence.