1.Reporting Status of Clinical Practice Guideline Protocols: A Systematic Analysis
Huayu ZHANG ; Xufei LUO ; Hui LIU ; Qi ZHOU ; Yishan QIN ; Ye WANG ; Yuanyuan YAO ; Haodong LI ; Xiaohui WANG ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2026;17(1):255-262
To systematically analyzed the reporting status of core elements in publicly available clinical practice guideline(hereafter referred to as "guideline") protocols published domestically and internationally over the past decade, identified existing problems, and provided evidence to inform the standardized writing and publication of future guideline protocols. A systematic search was conducted in Chinese and English databases for clinical practice guideline protocols published during the past ten years. The basic characteristics and reporting of core elements—including registration information, conflict of interest management, evidence grading, development process and timeline planning, as well as dissemination and implementation—were extracted and analyzed. Chi-square tests were performed to explore associations between protocol characteristics and the reporting of core elements. A total of 94 guideline protocols were included, of which 67 were in Chinese(71.28%) and 27 were in English(28.72%). Overall, 82.98% of the guideline protocols were registered, 92.55% reported management of conflicts of interest, 97.87% reported evidence searching, 88.30% reported evidence grading, and 89.36% described dissemination and implementation strategies. However, only 55.32% reported the guideline development process, and merely 23.40% reported timeline planning. Further analysis indicated that the reporting of registration, evidence searching, development process, and timeline planning was associated with year of publication. Differences were observed between domestic and international guidelines in reporting registration, conflict of interest management, development process, time planning, and dissemination and implementation. Guidelines intended for development exhibited higher reporting rates for registration, development process, and dissemination and implementation compared to those planned for updating or adaptation. Although current guideline protocols demonstrate relatively adequate reporting of methodological elements, deficiencies remain in development process and timeline planning. Future efforts should focus on promoting the publication and standardized reporting of guideline protocols, enhancing the international recognition of registration platforms, and strengthening the development process and timeline planning to advance the scientific rigor and transparency of guideline development.
2.Analysis of undernutrition and associated factors among left behind and nonleftbehind primary and secondary school students in the Nutrition Improvement Program areas in central and western China
Chinese Journal of School Health 2026;47(3):327-331
Objective:
To investigate the prevalence of undernutrition and its associated factors among left behind and non left behind primary and secondary school students in the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) areas of central and western China, so as to provide evidence for improving the nutritional status of children and adolescents.
Methods:
A survey was conducted among 123 782 students selected by random cluster sampling method in grades 3-9 from NIPRCES in central (Hebei, Shanxi, Heilongjiang, Jilin, Anhui, Jiangxi, Henan, Hunan, Hubei, and Hainan) and western (Gansu, Guangxi, Inner Mongolia, Ningxia, Tibet, Shaanxi, Guizhou, Sichuan, Xinjiang, the Xinjiang Production and Construction Corps, Yunnan, Qinghai, and Chongqing) China in 2023. Anthropometric measurements and questionnaires were used to assess nutritional and dietary status. The prevalence of undernutrition was compared between left behind and non left behind students by Chi square test, and associated factors were analyzed by three level Logistic mixed effects model.
Results:
The prevalence of undernutrition was 8.5% (4 326) in left behind students and 8.1% (5 905) in non left behind students. Three level Logistic mixed effect model analysis showed that whether left behind or non left behind, the undernutrition rates of primary and secondary students in western regions were higher than those of students in central regions [ OR (95% CI )=1.72(1.57-1.87),2.25(2.07- 2.43 )]; the undernutrition risk was lower for those whose fathers had a cultural level of high school or above [ OR (95% CI )=0.69(0.62-0.77),0.90(0.82-0.98)] or junior high school [ OR (95% CI )=0.72(0.66-0.79),0.92(0.85-0.99)] compared to those with primary school or below; picky eating or selective eating increased the risk of undernutrition [ OR (95% CI )=2.36(2.07-2.68),2.28(2.04-2.55)], and primary and secondary school students without nutritional content in health education classes had higher rates of undernutrition [ OR (95% CI )=1.12(1.03-1.23),1.09(1.01-1.17)](all P <0.05).
Conclusion
The prevalence of undernutrition is slightly higher in left behind primary and secondary students than in non left behind primary and secondary students in central and western NIPRCES areas, with variations across different characteristics.
3.Spatiotemporal Electrical Impedance Tomography for Speech Respiratory Assessment in Cleft Palate: an Interpretable Machine Learning Study
Yang WU ; Xiao-Jing ZHANG ; Hao YU ; Cheng-Hui JIANG ; Bo SUN ; Jia-Feng YAO
Progress in Biochemistry and Biophysics 2026;53(2):485-500
ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.
4.Spatiotemporal Electrical Impedance Tomography for Speech Respiratory Assessment in Cleft Palate: an Interpretable Machine Learning Study
Yang WU ; Xiao-Jing ZHANG ; Hao YU ; Cheng-Hui JIANG ; Bo SUN ; Jia-Feng YAO
Progress in Biochemistry and Biophysics 2026;53(2):485-500
ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.
5.Effect of community comprehensive management model intervention among patients with dyslipidemia
GAO Hui ; XIE Liang ; YAO Chunyang ; WANG Linhong ; JIN Liu ; HU Jie
Journal of Preventive Medicine 2026;38(1):15-19
Objective:
To evaluate the effect of community comprehensive management model intervention among patients with dyslipidemia, so as to provide the reference for optimizing community management strategies and improving the target achievement rate for blood lipids among this population.
Methods:
From May to June 2023, a multi-stage stratified random sampling method was employed to select patients with dyslipidemia from primary healthcare institutions in Jiaxing City, Zhejiang Province. Eligible participants were randomly assigned to either a control group or an intervention group. The control group received routine management, while the intervention group was subjected to a community comprehensive management model in addition to the routine care. Both groups were followed up for 24 months. Data on demographic characteristics, lifestyle behaviors, physical examination indices, and blood biochemical indicators were collected at baseline and after the intervention through questionnaires, physical examinations, and laboratory tests. Changes in obesity rate, central obesity rate, target achievement rates for blood lipids, blood pressure, and blood glucose, as well as lifestyle modifications, were analyzed. Differences between the two groups before and after the intervention were assessed using generalized estimating equations (GEE).
Results:
The control group consisted of 560 patients, including 303 females (54.11%) and 430 individuals aged ≥65 years (76.79%). The intervention group also included 560 patients, with 300 females (53.57%) and 431 individuals aged ≥65 years (76.96%). Before the intervention, no statistically significant differences were observed between the two groups in terms of gender, age, educational level, history of chronic diseases, and atherosclerotic cardiovascular disease risk stratification (all P>0.05). After 24 months of intervention, interaction effects between group and time were observed for obesity rate, central obesity rate, target achievement rate for blood lipids, target achievement rate for blood glucose, composite target achievement rate, physical activity rate, and medication adherence (all P<0.05). Specifically, the intervention group demonstrated lower rates of obesity and central obesity, and higher target achievement rate of blood lipids, target achievement rate of blood glucose, composite target achievement rate, physical activity rate, and medication adherence compared to the control group.
Conclusion
The community comprehensive management model contributed to improvements in multiple metabolic parameters (including body weight, waist circumference, blood lipids, and blood glucose) among patients with dyslipidemia, and was associated with increased physical activity rate and medication adherence.
6.Epidemiological characteristics and spatial-temporal clustering of varicella in Changchun City from 2020 to 2024
WU Hui ; XU Qiumin ; REN Zhixing ; YIN Yuan ; ZHAI Qianqian ; YAO Laishun
Journal of Preventive Medicine 2026;38(1):66-70,74
Objective:
To investigate the epidemiological characteristics and spatial-temporal clustering of varicella in Changchun City from 2020 to 2024, so as to provide the evidence for formulating local varicella prevention and control measures.
Methods:
The individual case data of varicella were collected through the Surveillance and Reporting Management System of the Chinese Disease Prevention and Control Information System in Changchun City from 2020 to 2024. Descriptive epidemiological methods were used to analyze the population ,regional, and temporal distribution. Spatial autocorrelation and spatio-temporal scanning analyses were used to identify the spatial-temporal clustering characteristics.
Results:
A total of 8 850 varicella cases were reported in Changchun City from 2020 to 2024, with an average annual incidence of 19.64/105. There were 4 929 male cases and 3 921 female cases, with a male-to-female ratio of 1.26∶1. The age was mainly 0-<20 years (6 649 cases, 75.13%), and students were the predominant occupation (6 036 cases, 68.20%). The top three counties (cities, districts) with the highest number of cases were Chaoyang District (1 944 cases), Gongzhuling City (1 054 cases) and Nanguan District (987 cases), accounting for 45.03%. The peak incidence periods were from April to June and from October to December, with 2 166 and 4 226 cases, accounting for 24.47% and 47.75%, respectively. Spatial autocorrelation analysis showed that spatial clustering existed from 2020 to 2024. The high-high clustering areas were mainly some townships (streets) in Chaoyang District, Nanguan District, Changchun New District and Jingyue District. Spatio-temporal scanning analysis identified 6 high-risk clustering areas. The class Ⅰ clustering area was Nanhu Street in Chaoyang District, with the clustering period from September 2020 to February 2022.
Conclusions
Varicella cases in Changchun City were mainly males and students aged 0-<20 years from 2020 to 2024. The peak incidence was mainly in winter. Chaoyang District was a high-risk area, with obvious spatial-temporal clustering.
7.Chinese Materia Medica by Regulating Nrf2 Signaling Pathway in Prevention and Treatment of Ulcerative Colitis: A Review
Yasheng DENG ; Lanhua XI ; Yanping FAN ; Wenyue LI ; Tianwei LIANG ; Hui HUANG ; Shan LI ; Xian HUANG ; Chun YAO ; Guochu HUANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):321-330
Ulcerative colitis(UC) is a chronic non-specific inflammatory bowel disease characterized by inflammation and ulceration of the colonic mucosa and submucosa, and its complex pathogenesis involves immune abnormality, oxidative stress and other factors. The nuclear transcription factor E2-related factor 2(Nrf2), encoded by the Nfe212 gene, plays a central role in antioxidant responses. It not only activates various antioxidant response elements such as heme oxygenase-1(HO-1) and quinone oxidoreductase 1(NQO1), but also enhances the activity of glutathione-S-transferase(GST) and superoxide dismutase 1(SOD1), effectively eliminating reactive oxygen species(ROS) accumulated in the body, and mitigating oxidative stress-induced damage to intestinal mucosa. In addition, Nrf2 can reduce the release of inflammatory factors and infiltration of immune cells by regulating immune response, cell apoptosis and autophagy pathways, thereby alleviating intestinal inflammation and promoting the repair and regeneration of damaged mucosa. Based on this, this paper reviews the research progress of Chinese materia medica in the prevention and treatment of UC by modulating the Nrf2 signaling pathway. It deeply explores the physiological role of Nrf2, the molecular mechanism of activation, the protective effect in the pathological process of UC, and how active ingredients in Chinese materia medica regulate the Nrf2 signaling pathway through multiple pathways to exert their potential mechanisms. These studies have revealed in depth that Chinese materia medica can effectively combat oxidative stress by regulating the Nrf2 signaling pathway. It can also play a role in anti-inflammatory, promoting autophagy, inhibiting apoptosis, protecting the intestinal mucosal barrier, and promoting intestinal mucosal repair, providing new ideas and methods for the multi-faceted treatment of UC.
8.Expert consensus on visualized tele-round and quality control management based on the improvement of clinical practice ability
Wanhong YIN ; Xiaoting WANG ; Ran ZHOU ; Dawei LIU ; Yan KANG ; Yaoqing TANG ; Xiaochun MA ; Jianguo LI ; Zhenjie HU ; Haitao ZHANG ; Wei HE ; Lixia LIU ; Wenjin CHEN ; Ran ZHU ; Jun WU ; Hongmin ZHANG ; Lina ZHANG ; Wenzhao CHAI ; Shihong ZHU ; Wangbin XU ; Rongqing SUN ; Xiangyou YU ; Tianjiao SONG ; Ying ZHU ; Hong REN ; Ai SHANMU ; Qing ZHANG ; Wei FANG ; Xiuling SHANG ; Liwen LYU ; Shuhan CAI ; Xin DING ; Heng ZHANG ; Guang FENG ; Lipeng ZHANG ; Bo HU ; Dong ZHANG ; Weidong WU ; Feng SHEN ; Xiaojun YANG ; Zhenguo ZENG ; Qibing HUANG ; Xueying ZENG ; Tongjuan ZOU ; Milin PENG ; Yulong YAO ; Mingming CHEN ; Hui LIAN ; Jingmei WANG ; Yong LI ; Feng QU ; Gang YE ; Rongli YANG ; Xiukai CHEN ; Suwei LI ; Juxiang WANG ; Yangong CHAO
Chinese Journal of Internal Medicine 2025;64(2):101-109
Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.
9.Preliminary study on the construction of an echocardiogram image quality control system based on artificial intelligence
Zhanru QI ; Hanlin CHENG ; Chunjie SHAN ; Ruiyang CHEN ; Hexiang WENG ; Yue DU ; Guanjun GUO ; Xiaoxian WANG ; Jing YAO ; Shouhua LUO ; Aijuan FANG ; Hui CHEN ; Zhongqing SHI
Chinese Journal of Ultrasonography 2025;34(2):107-113
Object:To explore the feasibility of using artificial intelligence for quality control of echocardiographic images.Methods:Retrospectively,5 000 two-dimensional echocardiographic video images within the period from 2021 to 2023 were randomly retrieved from the echocardiography database of Nanjing Drum Tower Hospital,Affiliated Hospital of Medical School,Nanjing University. Among these selected images,1 559 of them were apical views. The physician team formulated the scoring rules,which specifically included four scoring criteria:gain,scaling ratio,cardiac axis angle,and structure. Subsequently,the data were labeled with view classification and image quality scores. The labeled data were further partitioned into the training set( n = 643),the validation set( n = 276),and the test set( n = 640). The training and validation sets were utilized for constructing the models for view classification and quality assessment,while the test set was employed to verify the models' effectiveness. The view classification module was implemented using the SlowFast model,and the quality assessment module involved algorithms such as ResNet,Video Swin Transformer,SSD,and U-Net. Results:The average accuracy,precision,recall rate and F1 score of the classification model in identifying each apical view were 0.987 1,0.983 0,0.987 1 and 0.984 9 respectively,and the inference time was(333.4 ± 105.4)ms. The average accuracies of the quality assessment module in terms of gain,scaling ratio,cardiac axis angle and display of main structures were 0.915 1,0.928 2,0.938 7 and 0.965 6 respectively,and the overall scoring accuracy was 0.912 7.Conclusions:The echocardiogram quality control system developed in this research can effectively classify and evaluate the quality of two-dimensional images of the apical views in echocardiograms. Moreover,it guarantees the objectivity,timeliness and high-efficiency of quality control,which has reference value for the establishment of the echocardiogram quality control system.
10.Comparative Analysis of Posterior Nasal Nerve and Anterior Ethmoidal Nerve Ablation for Nasal Septal Deviation Complicated With Moderate to Severe Allergic Rhinitis
Yu SONG ; Hui MENG ; Baoshi FAN ; Haibo YAO ; Chunyan HUANG ; Junxiu LIU
Chinese Journal of Minimally Invasive Surgery 2025;25(10):606-610
Objective To investigate clinical therapeutic value of combined posterior nasal nerve and anterior ethmoidal nerve ablation in patients with nasal septal deviation and moderate to severe persistent allergic rhinitis.Methods A total of 47 patients diagnosed with nasal septal deviation and moderate to severe persistent allergic rhinitis from April to December 2024 were divided into two groups.The control group(n=22)underwent septoplasty and bilateral inferior turbinate out-fracture,with postoperative symptom control managed by budesonide nasal spray.The experimental group(n=25)received the same septoplasty and turbinate surgery,supplemented by bilateral posterior nasal nerve and anterior ethmoidal nerve ablation.Symptom improvement was compared between groups by using the Visual Analogue Scale(VAS)and Rhinoconjunctivitis Quality of Life Questionnaire(RQLQ)scores preoperatively and3 months postoperatively.Results The operation time of the control group was(36.3±5.9)min,significantly shorter than that of the experimental group[(59.4±6.6)min,t=12.496,P=0.000].Both groups of patients showed significant improvement in VAS and PQLQ scores for nasal symptoms such as nasal congestion,runny nose,sneezing,and itching at 3 months after surgery compared to preoperative levels(all P=0.000).The mean VAS score of the four symptoms in the control group was(4.6±0.9)points at3 months after surgery,which was significantly lower than that before surgery[(6.3±1.1)points,t=9.796,P=0.000].The mean VAS score of the four symptoms in the experimental group was1.0(0.3-4.3)points at3 months after surgery,which was significantly lower than that before surgery[7.0(4.5-9.0)points,Z=-4.376,P=0.000].The improvement rate of the VAS score in the experimental group was(82.4±14.2)%,significantly higher than that in the control group[(26.9±11.7)%,t=14.510,P=0.000].At3 months after surgery,the RQLQ score of the control group[(2.3±0.8)points]was significantly lower than that before surgery[(3.3±0.8)points,t=10.055,P=0.000].The RQLQ score of the experimental group after surgery was 1.4(0.8-3.5)points,which was significantly lower than the preoperative score[3.6(1.5-6.1)points,Z=-4.373,P=0.000].The improvement rate of RQLQ score in the experimental group was(53.0±14.6)%,significantly higher than that in the control group[(30.2±13.4)%,t=5.555,P=0.000].Conclusion Postnasal nerve and anterior ethmoidal nerve ablation combined with nasal septal deviation correction can significantly improve nasal symptoms and quality of life in patients with nasal septal deviation complicated with moderate to severe allergic rhinitis compared with simple nasal septal deviation correction,but the operation time is prolonged.


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