ObjectiveTo construct and evaluate various machine learning models for predicting the risk of chronic obstructive pulmonary disease （COPD） in individuals， thereby providing data support for early screening and intervention. MethodsA total of 823 subjects were selected for this study， comprising 142 individuals in the high-risk group for COPD and 681 individuals in the low-risk group. Data collected included demographic characteristics， smoking history， symptoms （such as cough and shortness of breath）， and scores from the Chronic obstructive pulmonary disease screening questionnaire. Four machine learning algorithms—Logistic regression， random forest， support vector machine， and XGBoost—were utilized to construct risk prediction models. The performance of these models was assessed using 5-fold cross-validation， with evaluation metrics including accuracy， precision， recall， F1-score， area under the receiver operating characteristic curve （AUC）， and average precision （AP）. Furthermore， a feature importance analysis was performed. ResultsThe Logistic Regression model exhibited superior performance， achieving an AUC of 0.982 and an AP of 0.939. This was closely followed by the Random Forest model， which recorded an AUC of 0.975 and an AP of 0.890. Feature importance analysis revealed that smoking history， symptoms of shortness of breath， and body weight were significant predictors. All models demonstrated robust performance in identifying low-risk populations； however， variations were observed in their efficacy in identifying high-risk populations. ConclusionMachine learning models have proven effective in identifying individuals at high risk for COPD. Among these， the Logistic regression model exhibits the best overall performance， efficiently identifying high-risk populations and serving as a valuable clinical auxiliary screening tool. Various models， each with distinct performance characteristics， are suited to different clinical screening scenarios， thereby offering targeted decision-making support for the establishment of a hierarchical and intelligent COPD screening pathway.

Objective To introduce the calculation of the DISO index in multi-dimensional data ranking for disease surveillance, and evaluate its applicability. Methods Using the data from the quality supervision and inspection of infectious disease reporting in Jingzhou City in a certain year as an example, the DISO index was used to rank 16 investigated medical institutions and compared with the TOPSIS method. The consistency between the two evaluation results was analyzed using Spearman correlation. Then, The DISO index from different medical institutions was used to evaluate the ranking of 8 counties (cities, districts). The evaluation indicators for the supervision and inspection included six items: report rate, timely report rate, completeness of report card filling, accuracy of report card filling, consistency rate with network information report, and completeness of valid ID number filling. Results Among the 16 medical institutions, 8 institutions had all six evaluation indicators at 100%. Using the two methods to rank the 16 medical institutions, the two methods showed that the 8 medical institutions with all six evaluation indicators at 100% were ranked first. There was a strong correlation between the rankings of the 16 medical institutions using the two methods (r_s=0.992, P=0.000). The three counties (cities, districts) with all six evaluation indicators at 100% were all ranked first, while country G was ranked seventh and country E was ranked eighth. Conclusion The results of the DISO index and the TOPSIS method were similar in one-dimensional ranking. DISO can be used for multi-dimensional ranking of disease surveillance data and deserves to be promoted and applied.

This paper summarizes Professor LI Diangui's experience in treating vitiligo from the perspective of turbid toxins latent in the collaterals. Based on the theory of turbid-toxin， professor LI proposes that turbid toxins latent in the collaterals and qi-blood disharmony constitute the core pathogenesis of the onset and progression of the disease， and that resolving turbidity and removing toxins while harmonizing qi and blood should serve as the fundamental therapeutic principles. In clinical practice， treatment is tailored according to the evolution of the pathogenesis and syndrome differentiation. When stagnation of qi movement leads to the endogenous accumulation of turbid pathogens， treatment focuses on relieving constraint， dispersing turbidity， soothing the liver， and regulating qi， with a modified self-formulated Kaiyu Sanzhuo Decoction （开郁散浊汤）. When turbid pathogens overflow to the superficial tissues and obstruct the cutaneous collaterals， treatment aims to resolve blood stasis， disperse turbidity， regulate qi， and unblock the collaterals， using a modified self-formulated Tongluo Huazhuo Decoction （通络化浊汤）. When deficiency of healthy qi allows toxins to remain latent and the disease becomes prolonged， treatment emphasizes reinforcing healthy qi， eliminating turbidity， tonifying qi， and nourishing blood， with a modified self-formulated Fuzheng Quzhuo Decoction （扶正祛浊汤）.

The amino acid sequences of the OmpA protein isolated from Escherichia coli QML2206-1(E.coli QML2206-1)in our laboratory were analyzed for homology with different strains of OmpA proteins using bioinformatics software,and the OmpA protein was analyzed for its physicochemical properties,transmembrane structure and signal peptide prediction,B-cell anti-genic epitope prediction,secondary and tertiary structure prediction.The OmpA gene fragment was ligated with pET-32a vector to construct a prokaryotic expression vector,which was purified by a nickel column affinity purification system after prokaryotic expression and optimization of ex-pression conditions in BL21(DE3).The purified recombinant protein was fully mixed with Freund's adjuvant to immunize mice,and the levels of mouse-specific IgG antibody and the expression levels of cytokines CD4,CD8 and IL-4 in mouse serum were detected by ELISA,and the immuno-protective effect was evaluated by mouse attack protection test.OmpA protein is a hydrophilic protein with no transmembrane structural domains and a secondary structure consisting mainly of irregular coils(47.98％)and α-helices(29.77％),with 12 antigenic epitopes that can bind to anti-bodies produced by B cells.The recombinant protein OmpA with a relative molecular mass of a-bout 55 kDa was successfully obtained by prokaryotic expression,and the highest expression was induced by IPTG concentration of 0.000 4 mmol/L for 6 h at 37 ℃.The serum-specific IgG anti-body potency of recombinant protein immunized mice was up to 1∶32 000;the expression levels of CD4,CD8 and IL-4 in the serum of immunized mice were elevated compared with those of the con-trol group.The survival rate of mice was 80％and 40％after attack with minimum lethal dose(MLD)and 2 times minimum lethal dose(2MLD),respectively.OmpA recombinant protein has good antigenicity and certain immunoprotective effects,and this study provides a technical basis for the next step in the development of a genetically engineered subunit vaccine against yak-appli-cable E.coli based on OmpA protein.

Objective:To explore the assessment value of 3.0T magnetic resonance(MR)diffusion weighted imaging(DWI)-apparent diffusion coefficient(ADC)on disease severity in elderly patients with acute pancreatitis(AP).Methods:A total of 68 elderly AP patients who admitted to Weihai Hospital of Traditional Chinese Medicine from August 2023 to September 2024 were retrospectively selected,and they were enrolled in cases group,and 40 healthy persons were included in healthy control group.According to the disease severity,the cases group were divided further into mild-moderate group(n=35)and severe group(n=33).The ADC value and fast diffusion ADC(Ft ADC)fraction of all groups were compared,and receiver operating characteristic(ROC)curve was adopted to evaluate the predictive value of ADC value on the disease severity of AP patients.Results:There were significant differences in ADC values and Ft ADC values among healthy control group,mild-moderate group and severe group(F=30.821,23.145,P＜0.05).The orders of ADC values were as follows from high to low:severe group(0.92±0.24)＞mild-moderate group(0.86±0.23)＞control group(0.58±0.12).The orders of Ft ADC values were as follows from high to low:healthy control group(0.59±0.18)＞mild-moderate group(0.45±0.15)＞severe group(0.35±0.11).The accuracy,sensitivity and specificity of ADC value combined with Ft ADC value were respectively 93.33%,96.23%and 90.38%in diagnosing disease severity.The accuracy and sensitivity of the combined examination were respectively higher than 82.86%and 75.47%of single ADC value,and were respectively higher than 85.71%and 84.91%of single Ft ADC value.Conclusion:With the increasing of disease severity of acute pancreatitis,ADC value gradually decreased,while Ft ADC value gradually increased.The diagnostic efficiency of the combination of ADC value and Ft ADC value for the disease severity were significantly higher than that of single indicator.Therefore,the combined application of ADC value and Ft ADC can help to improve the assessment accuracy for the disease severity of elderly AP patients,which can provide important basis for clinical treatment and disease management.

Objective To analyze the molecular epidemiology and colistin-resistant genes of carbapenem-resistant Klebsiella pneumoniae(CRKP)by whole-genome sequencing,and to provide reference for clinical diagnosis and treatment.Methods 57 CRKP strains isolated from clinical specimens of hospitalized patients in a tertiary general first-class hospital in Anhui Province from 2021 to 2023 were collected and antimicrobial susceptibility testing was performed.Multilocus sequence typing,capsule serotype,resistance genes,and virulence genes of CRKP strains were analyzed by whole-genome sequencing technique,and single nucleotide polymorphism analysis was conducted on sequences of all strains.Colistin resistance-related genes were amplified by polymerase chain reaction(PCR).Results 57 CRKP strains exhibited resistance to 14 antimicrobial agents,with the exception of tigecycline.The se-quencing results showed that 93.0％(53/57)of CRKP carried blaKPC-2,and the ST11 type CRKP strain had the highest detection rate(51/57,89.5％).Single nucleotide polymorphism clustering analysis showed that the 57 CRKP strains were divided into 11 clone groups,of which 4 clone groups were all ST11-KL64 type CRKP.40(70.2％)CRKP strains carried multiple virulence genes.Five strains of CRKP were colistin-resistant strains,the resistance mechanism involved the insertion of ISKpn26 element at site 70 of the mgrB gene.Conclusion The CRKP strain is primarily characterized by the production of KPC-2 ST11-KL64,with disseminated transmission in intensive care unit.The insertion of ISKpn26 element leading to mgrB gene mutation is related to resistance of CRKP to colistin in this region.

Japanese encephalitis virus(JEV)belongs to the genus Flavivirus and the family Flavi-viridae,and is classified as a single-stranded,positive-sense RNA virus.The disease known as Japa-nese encephalitis(JE),which results from JEV infection,is a viral zoonosis that is prevalent worldwide and poses a significant public health concern.JEV infection activates a variety of signa-ling pathways,leading to a series of changes that are crucial to the virus's pathogenesis.Among these pathways,Toll-like receptors(TLRs)are particularly significant,and their diverse range and complex signal transduction mechanisms present substantial challenges for the prevention and con-trol of JEV.Currently,there is no specific treatment for JEV.Although some vaccines have been developed to prevent JE,eradicating JEV remains difficult due to its zoonotic transmission cycle and the limited efficacy of the available vaccines.This article reviews the alterations in various TLR signaling pathways induced by JEV infection in the host,aiming to provide insights into the patho-genic mechanisms of JEV and to identify potential new antiviral targets.

Porcine reproductive and respiratory syndrome virus(PRRSV)is the pathogen of porcine reproductive and respiratory syndrome(PRRS),and its infection mainly causes abortion,stillbirth in sows and piglet respiratory infections,which are widely prevalent in the world and seriously jeopardize the development of the world's animal husbandry industry.PRRSV infection of the host is capable of inducing significant immunosuppression,and in recent years,the study of the mecha-nism of PRRSV immunosuppression has become a hot topic,with studies showing that numerous PRRSV proteins are involved in the regulation of host innate immunity and elucidating the mecha-nism by which PRRSV proteins modulate host innate immunity.In this paper,we reviewed the progress of research on the interaction mechanism between PRRSV proteins and host innate im-munity to provide a theoretical basis for a comprehensive understanding of the pathogenesis of PRRSV and the prevention and control of PRRS.

Objective: To explore the relative importance of different food attributes and levels in food decision making of school aged children, and to understand their meal preferences, so as to provide the evidence for formulating precise intervention strategies for dietary behaviours of school aged children. Methods: From May to June 2024, a total of 854 children aged 11 to 15 years old were selected from 2 middle schools (each school in urban and rural areas) in both Hubei Province and Anhui Province by stratified cluster random sampling method to conduct a D-optimal discrete choice experiment. The mixed Logit model was used to analyze children s preference for meal attributes and different levels, and to calculate the relative importance (RI) of attributes and willingness to pay (WTP) in meal choices. Results: The included five food attributes had statistical significance on meal choice of school aged children ( P <0.05). The relative importance of food attributes affecting the meal choices of school aged children in descending order were dining mode ( RI =31.26%), food varieties ( RI =30.56%), cooking method( RI =23.84%), taste( RI =8.06%) and price ( RI =6.27%). Among them, school aged children preferred home cooked meals ( β =0.74) (WTP=86.3 yuan),varied foods(grain/tubers+vegetables+fish, meat, eggs and beans) ( β =0.61) (WTP=71.9 yuan), fried/roasted cooking ( β =0.51) and spicy taste ( β =0.33).Price was negatively correlated with meal choices( β =-0.01) ( P <0.05). Based on residential area and body mass index (BMI), the stratified analysis showed that dining mode was highest in the relative importance for rural children with overweight and obese children ( RI =31.28%,34.17%), both of whom preferred home cooked meals ( β =0.76, 0.91), and meals containing fish, meat, eggs and beans with grain/tubers or grain/tubers and vegetables in terms of food choice (area: β =0.53, 0.53 ; BMI: β =0.55, 0.56) ( P <0.05). Conclusions School aged children have different preferences for different attributes of meals. The quality of school meals should be improved,the cost of buying healthy meals should be reduced,targeted family health education should be carried out,and healthy cooking methods should be advocated.

Objective:To explore the assessment value of 3.0T magnetic resonance(MR)diffusion weighted imaging(DWI)-apparent diffusion coefficient(ADC)on disease severity in elderly patients with acute pancreatitis(AP).Methods:A total of 68 elderly AP patients who admitted to Weihai Hospital of Traditional Chinese Medicine from August 2023 to September 2024 were retrospectively selected,and they were enrolled in cases group,and 40 healthy persons were included in healthy control group.According to the disease severity,the cases group were divided further into mild-moderate group(n=35)and severe group(n=33).The ADC value and fast diffusion ADC(Ft ADC)fraction of all groups were compared,and receiver operating characteristic(ROC)curve was adopted to evaluate the predictive value of ADC value on the disease severity of AP patients.Results:There were significant differences in ADC values and Ft ADC values among healthy control group,mild-moderate group and severe group(F=30.821,23.145,P＜0.05).The orders of ADC values were as follows from high to low:severe group(0.92±0.24)＞mild-moderate group(0.86±0.23)＞control group(0.58±0.12).The orders of Ft ADC values were as follows from high to low:healthy control group(0.59±0.18)＞mild-moderate group(0.45±0.15)＞severe group(0.35±0.11).The accuracy,sensitivity and specificity of ADC value combined with Ft ADC value were respectively 93.33%,96.23%and 90.38%in diagnosing disease severity.The accuracy and sensitivity of the combined examination were respectively higher than 82.86%and 75.47%of single ADC value,and were respectively higher than 85.71%and 84.91%of single Ft ADC value.Conclusion:With the increasing of disease severity of acute pancreatitis,ADC value gradually decreased,while Ft ADC value gradually increased.The diagnostic efficiency of the combination of ADC value and Ft ADC value for the disease severity were significantly higher than that of single indicator.Therefore,the combined application of ADC value and Ft ADC can help to improve the assessment accuracy for the disease severity of elderly AP patients,which can provide important basis for clinical treatment and disease management.