Objective: To assess the nutritional supply status of school meals for primary and secondary school students in Henan Province, so as to provide a basis for scientific guidance of school meals. Methods: During 2021-2023, 115 lunch and dinner samples were collected from 25 primary and secondary schools in Zhoukou, Anyang and Luoyang of Henan Province by a direct selection method, and 13 nutrients were determined for each sample. The nutrient supply was evaluated based on Nutrition Guidelines of School Meals and Reference Intake of Dietary Nutrients for Chinese Residents (2023 Edition). Mann-Whitney U test was used to compare the differences of nutritional supply between urban and rural schools. Results: The median values for energy (709.77 kcal,1 kcal=4.18 kJ), fat energy supply ratio (0.27) and carbohydrate energy supply ratio (0.55) in the 66 lunches and dinners from primary school were within the recommended range. The supply of protein (28.39 g) and sodium (1 464.59 mg) was excessive. The median values of zinc (2.62 mg) and dietary fiber (5.19 g) were lower than the reference values. No statistically significant differences were observed in the supply of 13 nutrients between urban and rural primary schools( U = 427.00 -633.00, P > 0.05 ). Among 49 samples from secondary schools, the median value of energy supply (930.02 kcal), carbohydrate energy ratio ( 0.54 ) and fat energy supply ratio(0.25) were within the recommended range; and the median values of protein (38.82 g) and sodium (2 556.80 mg) were higher than the standard; and the median values of calcium (250.32 mg) and vitamin B1 (0.16 mg) were lower than the standard. Additionally, the differences in the level of vitamin B2 ( U =372.00) and zinc ( U =375.00) between the urban and rural secondary schools were statistically significant ( P <0.05). Conclusion Nutrient supply of primary and secondary school meals in three cities of Henan Province is inadequate and imbalanced, and the recipe need to be further optimized and improved.

Objective We aimed to investigate the feasibility and method of constructing a traditional Chinese medicine(TCM)curative effect prediction model based on the data of Kechuanting acupoint plastering therapy in the treatment of bronchial asthma(asthma).Methods Data from the Chronic Disease Management Research Platform of 303 patients with asthma who were treated with Kechuanting acupoint plastering therapy for 6 weeks in the Department of Acupuncture and Rehabilitation of Jiangsu Hospital of Traditional Chinese Medicine from June to August 2018 to 2021 were selected.We used Phyton 3.10 for statistical analysis.After data preprocessing,the influencing factors were used to build models by Logistic regression,support vector machine,K-means clustering algorithm,Bayes algorithm,random forest method and Light gradient boosting machine(LightGBM)respectively,with the improvement of asthma control test score(ACT),forced expiratory volume in one second(FEV1)and exhaled nitric oxide(FeNO)as the outcome indicators.Then,the models were compared and analyzed.Subsequently,the superior model was used to establish the efficacy prediction model and verify its stability to obtain the accuracy rate and eliminate the relatively important factors.Results The accuracy rate of the Kechuanting acupoint plastering therapy curative effect prediction model established by the LightGBM model was more than 70%.Five important factors were selected,including allergic history,tabacco and alcohol abuse,plastering duration,ACT before treatment,and FeNO before treatment.According to the classification analysis and the relationship between the important factors and the outcome indicators,Kechuanting acupoint plastering therapy significantly improved the ACT of patients with no history of allergy,no tabacco and alcohol abuse,and poor ACT:5-15 points(P<0.05).Furthermore,Kechuanting acupoint plastering therapy improved FeNO more significantly in patients with more than 3 years of treatment than those with no more than 3 years(P<0.05).However,Kechuanting acupoint plastering therapy only improved FeNO in a few patients with poor asthma control levels(P<0.05)and severe airway inflammation(FeNO>50×10-9)(P>0.05).Conclusion Acupoint plastering application has a significant effect on improving the control level of asthma,but its effect on improving airway inflammation is limited.It is feasible to use data from the chronic disease management research platform to construct the prediction model.After optimization and testing,the predictive model established based on the data of this study may provide an effective evaluation tool for targeted clinical treatment.

The comparison between traditional Chinese medicine Jinzhen oral liquid (JZOL) and Western medicine in treating children with acute bronchitis (AB) showed encouraging outcomes. This trial evaluated the efficacy and safety of the JZOL for improving cough and expectoration in children with AB. 480 children were randomly assigned to take JZOL or ambroxol hydrochloride and clenbuterol hydrochloride oral solution for 7 days. The primary outcome was time-to-cough resolution. The median time-to-cough resolution in both groups was 5.0 days and the antitussive onset median time was only 1 day. This randomized controlled trial showed that JZOL was not inferior to cough suppressant and phlegm resolving western medicine in treating cough and sputum and could comprehensively treat respiratory and systemic discomfort symptoms. Combined with clinical trials, the mechanism of JZOL against AB was uncovered by network target analysis, it was found that the pathways in TRP channels like IL-1β/IL1R/TRPV1/TRPA1, NGF/TrkA/TRPV1/TRPA1, and PGE2/EP/PKA/TRPV1/TRPA1 might play important roles. Animal experiments further confirmed that inflammation and the immune regulatory effect of JZOL in the treatment of AB were of vital importance and TRP channels were the key mechanism of action.

The latest epidemiological data suggests that the situation of adult diabetes in China is severe, and metabolic diseases have become significant chronic illnesses that have a serious impact on public health and social development. After more than six years of practice, the National Metabolic Management Center(MMC) has developed distinctive approaches to manage metabolic patients and has achieved a series of positive outcomes, continuously advancing the standardized diagnosis and treatment model. In order to further improve the efficiency, based on the first edition, the second edition guideline was composed by incorporating experience of the past six years in conjunction with the latest international and domestic guidelines.

Objective : The differences of cognitive impairment between children with attention deficit hyperactivity disorder (ADHD) and normal children were compared , the influencing factors of cognitive impairment of children with ADHD were analyzed . Methods : A total of 133 children with ADHD were selected as the ADHD group , and 117 normal children were recruited as the control group . The severity of the subjects ′ clinical symptoms was assessed using the Swanson , Nolan , & Pelham Rating Scale⁃Fourth Edition ( SNAP⁃IV) and the Weiss Functional Impairment Rating Scale . The degree of cognitive functional impairment of subjects was assessed using the MATRICS cognitive suite (MCBB) , and the executive function impairment of the subjects was assessed by the Behavior Rating Inventory of Executive Function ( BRIEF) . The differences in cognitive functional impairment of the two groups were compared . The children with ADHD were further divided into three groups according to their clinical phenotype and age , respectively , and the differences of cognitive impairment among the three groups were compared . The influencing factors of the degree of cognitive impairment in children with ADHD were analyzed by multiple linear regression . The improvement of methylphenidate sustained⁃release tablets on cognitive and executive functional impairment in children with ADHD was observed . Results : The scores of SNAP⁃IV , Weiss Functional Impairment Rating Scale , connection test and BRIEF of ADHD patients were significantly higher than those of normal controls (P < 0. 05) . The scores of symbol coding test and maze test of ADHD patients were significantly lower than those of normal controls (P < 0. 05) . The score of symbol encoding test in children with ADHD⁃HI was significantly higher than that in ADHD⁃I and ADHD⁃C groups (P < 0. 05) , and the total BRIEF score of ADHD⁃C was significantly higher than that in ADHD⁃I and ADHD⁃HI groups (P < 0. 05) . With the increase of age , the score of connection test of ADHD children gradually decreased , while the scores of symbol coding test and maze test gradually increased (P < 0. 05) . The results of multiple linear regression analysis showed that age was the influencing factor of ADHD children ′s score in the connection test , symbol coding test and maze test (P < 0. 05) ; the scores of SNAP⁃IV and Weiss Functional Impairment Rating Scale were the influencing factors of BRIEF score of ADHD children (P < 0. 05) . After methylphenidate treatment , the scores of connection testand BRIEF significantly decreased (P < 0. 001) , while the scores of symbol coding test and maze test significantly increased (P < 0. 001) . Conclusion The younger the age and the more serious the clinical symptoms related to ADHD suggest that the cognitive impairment of children with ADHD is more serious . After methylphenidate treatment , the degree of cognitive and executive impairment in children with ADHD are improved .

Objective:To investigate the pathogen distribution and influencing factors for pulmonary infection after radical resection of esophageal cancer.Methods:The retrospective case-control study was conducted. The clinical data of 555 patients who underwent radical resection of esophageal cancer in Heping Hospital Affiliated to Changzhi Medical College from January 2021 to December 2022 were collected. There were 344 males and 211 females, aged (64±8)years. Obser-vation indicators: (1) incidence of postoperative pulmonary infection and pathogen distribution; (2) analysis of influencing factors for postoperative pulmonary infection. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. The comparisons of ordinal data were analyzed using the nonparametric test. Univariate analysis was performed using the corresponding statistical methods based on data type. Multivariate analysis was performed using the Logistic stepwise regre-ssion model advance method. Results:(1) Incidence of postoperative pulmonary infection and pathogen distribution. Among 555 patients, 91 cases had postoperative pulmonary infection, with the incidence as 16.40%(91/555). In 91 patients with postoperative pulmonary infection, 59 strains of bacteria were isolated and cultured. There were 53 strains of gram-negative bacteria, 3 strains of gram-positive bacteria and 3 strains of fungi, including 20 multidrug-resistant bacteria. Among the 53 strains of gram-negative bacteria, there were 18 strains of Acinetobacter baumannii (12 strains were multidrug resistant), 18 strains of Klebsiella pneumoniae (3 strains were multidrug resistant), 6 strains of Pseudomonas aeruginosa (2 strains were multidrug resistant), 2 strains of Escherichia coli, 2 strains of Enterobacter cloacae, and 2 strains of Haemophilus influenzae (2 strains of Escherichia coli and 1 strain of Enterobacter cloacae were multidrug resistant strains), 1 strain of Serratia marcescens, 1 strain of Citrobacter keri, 1 strain of Corynebacterium striatum, 1 strain of Proteus mirabilis and 1 strain of Klebsiella acidogenes. Among the 3 strains of Gram-positive bacteria, there were 2 strains of Staphylococcus aureus and 1 strain of Streptococcus pneumoniae. All the three strains of fungi were Candida albicans. Among the 18 strains of Acinetobacter baumannii, there were 12, 12, 11, 9, 8, 6 and 5 strains resistant to imipenem, ceftriaxone, ceftazidme, cefoperazone or sulbactam, ciprofloxacin, amicacin and levofloxacin, respectively. The above indexes of 18 strains of Klebsiella pneumoniae were 0, 1, 1, 1, 2, 0 and 2, respectively. (2) Analysis of influencing factors for postoperative pulmonary infection. Results of multivariate analysis showed that tumor pathological staging as stage Ⅱ and Ⅲ, duration of preoperative hospital stay ≥6 days, operation time ≥240 minutes, mode of operation as thoracotomy, type of antibiotics used in peri-operative period ≥3, and postoperative antibiotic use time ≥5 days were independent risk factors for postoperative pulmonary infection ( P<0.05). Conclusions:The main pathogenic bacteria of pulmonary infection after radical resection of esophageal cancer are Acinetobacter baumannii and Klebsiella pneumoniae. Tumor pathological staging as stage Ⅱ and Ⅲ, duration of preoperative hospital stay ≥6 days, operation time ≥240 minutes, mode of operation as thoracotomy, type of antibiotics used in perioperative period ≥3, and postoperative antibiotic use time ≥5 days are independent risk factors for pulmonary infection in patients with esophageal cancer after radical surgery.

OBJECTIVES: To reduce the dimension of characteristic information extracted from pelvic CT images by using principal component analysis (PCA) and partial least squares (PLS) methods. To establish a support vector machine (SVM) classification and identification model to identify if there is pelvic injury by the reduced dimension data and evaluate the feasibility of its application. METHODS: Eighty percent of 146 normal and injured pelvic CT images were randomly selected as training set for model fitting, and the remaining 20% was used as testing set to verify the accuracy of the test, respectively. Through CT image input, preprocessing, feature extraction, feature information dimension reduction, feature selection, parameter selection, model establishment and model comparison, a discriminative model of pelvic injury was established. RESULTS: The PLS dimension reduction method was better than the PCA method and the SVM model was better than the naive Bayesian classifier (NBC) model. The accuracy of the modeling set, leave-one-out cross validation and testing set of the SVM classification model based on 12 PLS factors was 100%, 100% and 93.33%, respectively. CONCLUSIONS In the evaluation of pelvic injury, the pelvic injury data mining model based on CT images reaches high accuracy, which lays a foundation for automatic and rapid identification of pelvic injuries.
Algorithms ; Bayes Theorem ; Data Mining ; Least-Squares Analysis ; Support Vector Machine

Objective:To analyze characteristics and trends of histopathological diagnosis of adult renal biopsy in Beijing from 2008 to 2020.Methods:A total of 4 652 cases of adult renal biopsy were collected from three hospitals in Beijing between 2008 and 2020. The patients were divided into three age groups: 18-40 years, 40-65 years and≥ 65 years; and also divided into three period: 2008-2011, 2012-2015, and 2016-2020. The pathological characteristics and changes of renal biopsy were analyzed in three age groups at different periods.Results:Among 4 652 cases primary glomerular disease accounted for 81.8%, the membranous nephropathy (MN, 32.4%, 1 509/4 652), IgA nephropathy (IgAN, 29.2%, 1 356/4 652) and minor glomerular abnormalities (MGA, 11.3%, 526/4 652) were the top three pathological types. The overall proportion of MN and diabetic nephropathy (DN) increased from 20.3% and 2.3% in 2008-2011 to 37.3% and 10.1% in 2016-2020) (χ2=99.9 and 96.1, both P<0.01), respectively. For age group 18-40 years, the MN and DN increased from 11.2% and 1.6% in 2008-2011 to 24.7% and 5.5% in 2016-2020 (χ2=32.7 and 20.7, both P<0.01), respectively. For age group 40-65 years the MN and DN increased from 26.6% and 3.2% in 2008-2011 to 41.5% and 13.1% in 2016-2020 (χ2=39.1 and 57.3, both P<0.01), respectively. For age group≥65 years the MN was the most common pathological type in the three periods, fluctuating between 41.3% and 55.0% (χ2=5.2, P=0.08); and DN increased from 0(0/63) in 2008-2011 to 7.5%(22/292) in 2016-2020 (χ2=8.1, P=0.02). Conclusion:The renal biopsy data show that membranous nephropathy and diabetic nephropathy are the most common primary and secondary adult glomerular diseases in Beijing recently.

OBJECTIVE: To analyze the dynamic changes of chest CT images of patients with corona virus disease-19 (COVID-19). METHODS: Fifty-two cases of COVID-19 were admitted in the First Affiliated Hospital of Zhejiang University School of Medicine. The consecutive chest CT scans were followed up for all patients with an average of 4 scans performed per patient during the hospitalization. The shortest interval between each scan was 2 days and the longest was 7 days. The shape, number and distribution of lung shadows, as well as the characteristics of the lesions on the CT images were reviewed. RESULTS: The obvious shadows infiltrating the lungs were shown on CT images in 50 cases, for other 2 cases there was no abnormal changes in the lungs during the first CT examination. Ground-glass opacities (GGO) were found in 48 cases (92.3%), and 19 cases (36.5%) had patchy consolidation and sub-consolidation, which were accompanied with air bronchi sign in 17 cases (32.7%). Forty one cases (78.8%) showed a thickened leaflet interval, 4 cases (7.6%) had a small number of fibrous stripes. During hospitalization, GGO lesions in COVID-19 patients gradually became rare, the fibrous strip shadows increased and it became the most common imaging manifestation. The lesions rapidly progressed in 39 cases (75.0%) within 6-9 days after admission. On days 10-14 of admission, the lesions distinctly resolved in 40 cases (76.9%). CONCLUSIONS The chest CT images of patients with COVID-19 have certain characteristics with dynamic changes, which are of value for monitoring disease progress and clinical treatment.

OBJECTIVE: To analyze the dynamic changes of chest CT images of patients with coronavirus disease 2019 (COVID-19). METHODS: Fifty-two cases of COVID-19 were admitted in the First Affiliated Hospital of Zhejiang University School of Medicine. The consecutive chest CT scans were followed up for all patients with an average of 4 scans performed per patient during the hospitalization. The shortest interval between each scan was 2 days and the longest was 7 days. The shape, number and distribution of lung shadows, as well as the characteristics of the lesions on the CT images were reviewed. RESULTS: The obvious shadows infiltrating the lungs were shown on CT images in 50 cases, for other 2 cases there was no abnormal changes in the lungs during the first CT examination. Ground-glass opacities (GGO) were found in 48 cases (92.3%), and 19 cases (36.5%) had patchy consolidation and sub-consolidation, which were accompanied with air bronchi sign in 17 cases (32.7%). Forty one cases (78.8%) showed a thickened leaflet interval, 4 cases (7.6%) had a small number of fibrous stripes. During hospitalization, GGO lesions in COVID-19 patients gradually became rare,the fibrous strip shadows increased and it became the most common imaging manifestation. The lesions rapidly progressed in 39 cases (75.0%) within 6-9 days after admission. On days 10-14 of admission, the lesions distinctly resolved in 40 cases (76.9%). CONCLUSIONS The chest CT images of patients with COVID-19 have certain characteristics with dynamic changes, which are of value for monitoring disease progress and clinical treatment.
Betacoronavirus ; isolation & purification ; China ; Coronavirus Infections ; diagnostic imaging ; pathology ; Disease Progression ; Humans ; Pandemics ; Pneumonia, Viral ; diagnostic imaging ; pathology ; Tomography, X-Ray Computed