Pulmonary lymphangioleiomyomatosis is a rare disease characterized by the abnormal proliferation of pulmonary lymphatic smooth muscle cells. It is common in women and often accompanied by recurrent pneumothorax, chylothorax and progressive dyspnea, imaging characterized by diffuse cystic lesions in both lungs. Pulmonary lymphangioleiomyomatosis progresses aggressively and has a very poor prognosis, with a lack of effective medical treatment options in the advanced stages. Lung transplantation is a safe and effective method for the treatment of advanced pulmonary lymphangioleiomyomatosis, which may significantly improve the survival rate and quality of life of patients. The median survival period after surgery can reach 12 years. This article reviews the pathogenesis, diagnosis, treatment of pulmonary lymphangioleiomyomatosis, and the current status and existing problems of lung transplantation in pulmonary lymphangioleiomyomatosis, aiming to provide a reference for the clinical treatment and subsequent research of pulmonary lymphangioleiomyomatosis.

OBJECTIVE To construct a nomogram diagnosis model for Epstein-Barr virus(EBV)co-infection in children with Mycoplasma pneumoniae pneumonia(MPP).METHODS Clinical data of 427 children with MPP ad-mitted to the Children's Hospital of Nanjing Medical University from Jul.2020 to Jul.2024 were retrospectively analyzed.The children were divided into a modeling group(n=299)and a validation group(n=128).The model-ing group was further categorized into an MPP group(n=235)and an MPP co-infection group(n=64)based on EBV infection status.Multivariate logistic regression was used to identify risk factors for EBV co-infection in chil-dren with MPP,and a nomogram diagnosis model was constructed.The diagnostic value and clinical application value of the model were evaluated by receiver operating characteristic(ROC)curves,calibration curves and deci-sion curve analysis(DCA).RESULTS The white blood cell count(WBC)in the MPP co-infection group was(12.37±2.32)× 109/L,significantly higher than that in the MPP group(P＜0.05).Platelet count(PLT)and hemoglobin(Hb)levels were(197.95±32.85)× 109/L and(102.58±13.74)g/L,respectively,lower than those in the MPP group(P＜0.05).Additionally,the MPP co-infection group exhibited higher proportions of fe-ver duration ≥10 days,dyspnea and pleural effusion compared to the MPP group(P＜0.05).Multivariate logistic regression analysis revealed that WBC(OR=1.514),PLT(OR=0.970),Hb(OR=0.959),fever duration(OR=4.790),dyspnea(OR=3.777)and pleural effusion(OR=4.795)were significantly associated with EBV infection in children with MPP(P＜0.05).The nomogram demonstrated that when the total model score reached 219 points,the probability of EBV infection in children with MMP was 0.9.The areas under the ROC curve for the modeling group and validation group were 0.882(95％CI:0.836-0.927)and 0.943(95％CI:0.902-0.984),respectively,with sensitivities of 76.56％and 91.30％,respectively,and specificities of 82.55％and 85.71％,respectively.The Hosmer-Lemeshow goodness-of-fit test showed x2=4.124,P=0.846 for the modeling group and x2=4.203,P=0.838 for the validation group.DCA curve indicated high clinical applica-tion value of the model.CONCLUSIONS WBC,PLT,Hb levels,fever duration,dyspnea and pleural effusion have diagnostic values for EBV co-infection in children with MPP.The nomogram model constructed based on these six factors demonstrates excellent diagnostic performance.

OBJECTIVE To construct a nomogram diagnosis model for Epstein-Barr virus(EBV)co-infection in children with Mycoplasma pneumoniae pneumonia(MPP).METHODS Clinical data of 427 children with MPP ad-mitted to the Children's Hospital of Nanjing Medical University from Jul.2020 to Jul.2024 were retrospectively analyzed.The children were divided into a modeling group(n=299)and a validation group(n=128).The model-ing group was further categorized into an MPP group(n=235)and an MPP co-infection group(n=64)based on EBV infection status.Multivariate logistic regression was used to identify risk factors for EBV co-infection in chil-dren with MPP,and a nomogram diagnosis model was constructed.The diagnostic value and clinical application value of the model were evaluated by receiver operating characteristic(ROC)curves,calibration curves and deci-sion curve analysis(DCA).RESULTS The white blood cell count(WBC)in the MPP co-infection group was(12.37±2.32)× 109/L,significantly higher than that in the MPP group(P＜0.05).Platelet count(PLT)and hemoglobin(Hb)levels were(197.95±32.85)× 109/L and(102.58±13.74)g/L,respectively,lower than those in the MPP group(P＜0.05).Additionally,the MPP co-infection group exhibited higher proportions of fe-ver duration ≥10 days,dyspnea and pleural effusion compared to the MPP group(P＜0.05).Multivariate logistic regression analysis revealed that WBC(OR=1.514),PLT(OR=0.970),Hb(OR=0.959),fever duration(OR=4.790),dyspnea(OR=3.777)and pleural effusion(OR=4.795)were significantly associated with EBV infection in children with MPP(P＜0.05).The nomogram demonstrated that when the total model score reached 219 points,the probability of EBV infection in children with MMP was 0.9.The areas under the ROC curve for the modeling group and validation group were 0.882(95％CI:0.836-0.927)and 0.943(95％CI:0.902-0.984),respectively,with sensitivities of 76.56％and 91.30％,respectively,and specificities of 82.55％and 85.71％,respectively.The Hosmer-Lemeshow goodness-of-fit test showed x2=4.124,P=0.846 for the modeling group and x2=4.203,P=0.838 for the validation group.DCA curve indicated high clinical applica-tion value of the model.CONCLUSIONS WBC,PLT,Hb levels,fever duration,dyspnea and pleural effusion have diagnostic values for EBV co-infection in children with MPP.The nomogram model constructed based on these six factors demonstrates excellent diagnostic performance.

Objective To address the challenges of poor performance and lack of interpretability in existing models,the SHAP algorithm is used to develop an interpretable machine learning model that offers a novel approach to wound age estimation,Methods Based on the previous discovery of the expression of 35 wound age healing-related genes in contused skeletal muscle,the woun age estimaton model was constructed using four algorithms,namly,Multilayer Perceptron(MLP),Random Forest(RF),LightGBM(LGBM),and Support Vector Machine(SVM).The SHAP(Shapley Additive Explanation)algorithm was used to rank the importance of genetic features,eliminate redundant attributes,and optimize the model for accurate wound age estimation.the genetic features of the optimal model were analyzed using SHAP's local interpretation capabilities.Results The best results were obtained using model of MLP(area under the curve(AUC)=0.99)The wound ages were classified into four categories:4～12 h,16～24 h,28～36 h,and 40～48 h,using only 15 gene features.According to SHAP analysis,Fam210a was identified as the most relevant gene.Local analysis revealed that high expression of Fam210a contributed to an increase in the predicted probability of 4 h～12 h,while high expression of Rae1 contributed to an increase in the predicted probability of 16 h～24 h.Additionally,low expression of Tbx18 contributed to an increase in the predicted probability of 28 h～36 h,whereas high expression of Tbx18 contributed to an increase in the predicted probability of 40 h～48 h.Conclusions The combined MLP and SHAP model can be used to predict wound age.Using the SHAP interpreter can better understand the degree of contribution of feature genes to the model prediction,and lay the foundation for further in-depth study of wound age estimation.

Objective:To evaluate the efficacy, adverse reactions and compliance of vonoprazan (VPZ) dual therapy and bismuth-containing quadruple therapy with low-resistance antibiotics in the initial treatment of primary Helicobacter pylori ( H. pylori) infection. Methods:From March 7, 2022 to August 25, 2023, a total of 200 patients with H. pylori infection who visited the Department of Gastroenterology and Hepatology of the University of Hong Kong-Shenzhen Hospital were selected. According to the random number table method, the patients were randomly divided into the VPZ combined with amoxicillin treatment group (hereinafter referred as VPZ dual therapy group) and the proton pump inhibitor (PPI), tetracycline, full-dose (1 600 mg/d) metronidazole and bismuth treatment group (hereinafter referred as PPI quadruple therapy group). The patients of VPZ dual therapy group were given VPZ 20 mg (twice a day) combined with amoxicillin 1 000 mg (3 times a day), and the patients of PPI quadruple therapy group were given esomeprazol 20 mg (2 times a day), bismuth 0.6 g (twice a day), metronidazole 400 mg (4 times a day), and tetracycline 500 mg (3 times a day). The patients of both groups were treated for 14 days. The H. pylori infection status was re-examined 4 weeks after drug withdrawal. The results were analyzed by intention-to-treat (ITT) analysis, modified ITT analysis and per-protocol analysis (PPA). One-sided μ test was used for non-inferiority evaluation, and two-sided 95% confidence interval (95% CI) was obtained. Chi-square test was used for statistical analysis. Results:In the ITT analysis, 92.0% (92/100) of patients in the VPZ dual therapy group and 77.0% (77/100) of patients in the PPI quadruple therapy group completed the 14-day treatment, and the difference was statistically significant ( χ2=8.59, P=0.003). In the ITT analysis, the H. pylori eradication rates in the VPZ dual therapy group and the PPI quadruple therapy group were 96.0% (96/100) and 92.0% (92/100), respectively, and the difference was statistically significant (difference=4.0%, 95% CI -2.9% to 11.5%, P<0.001). In the modified ITT analysis, the H. pylori eradication rates of the VPZ dual therapy group and the PPI quadruple therapy group were 97.0% (96/99) and 95.8% (92/96), respectively, and the difference was statistically significant (difference=1.1%, 95% CI -4.9% to 7.6%, P=0.002). In the PPA, the H. pylori eradication rates of the VPZ dual therapy group and the PPI quadruple therapy group were 96.7% (89/92) and 97.4% (75/77), respectively, and the difference was statistically significant (difference=-0.7%, 95% CI -6.9% to 6.1%, P=0.009). In the ITT analysis, the incidence of adverse reaction in the VPZ dual therapy group was lower than that in the PPI quadruple therapy group (39.0%, 39/100 vs. 71.0%, 71/100), and the difference was statistically significant ( χ2=20.69, P<0.001). Conclusion:In initial treatment of H. pylori infection, the eradication rate of VPZ dual therapy is non-inferior to that of PPI quadruple therapy, and VPZ dual therapy demonstrates higher safety.