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.

Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

The Consolidated Standards of Reporting Trials (CONSORT) statement aims to enhance the quality of reporting for randomized controlled trial (RCT) by providing a minimum item checklist. It was first published in 1996, and updated in 2001 and 2010, respectively. The latest version was released in April 2025, continuously reflecting new evidence, methodological advancements, and user feedback. CONSORT 2025 includes 30 essential checklist items and a template for a participant flow diagram. The main changes to the checklist include the addition of 7 items, revision of 3 items, and deletion of 1 item, as well as the integration of multiple key extensions. This article provides a comprehensive interpretation of the statement, aiming to help clinical trial staff, journal editors, and reviewers fully understand the essence of CONSORT 2025, correctly apply it in writing RCT reports and evaluating RCT quality, and provide guidance for conducting high-level RCT research in China.

Objective To analyze the correlation between inflammation,nutritional indicators and hy-poproteinemia in patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD).Meth-ods The clinical data of patients with AECOPD admitted to the Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xiamen University from January 2020 to September 2022 were ret-rospectively analyzed,and the patients were divided into the hypoproteinemia group(n=73)and the non-hy-poproteinemia group(n=141)according to whether the serum albumin(ALB)was lower than 35 g/L.The clinical data,inflammatory indicators and nutritional indicators of the two groups were compared,Spearman correlation analysis was performed,and binary logistic regression analysis was performed to analyze the influ-encing factors of patients with AECOPD complicated with hypoproteinemia.Results There were statistically significant differences in age,length of hospital stay,and body weight between the two groups(P＜0.05).There were no significant differences in gender,number of hospitalizations in the past 1 year,height,diabetes,hypertension and proportion of coronary heart disease(P＞0.05).Compared with the non-hypoproteinemia group,the hypoproteinemia group had longer hospital stays and higher levels of C-reactive protein,neutrophil/albumin ratio(NAR),neutrophil to lymphocyte ratio(NLR),platelet-lymphocyte ratio(PLR),and systemic immunoinflammatory index(SII).The prognostic nutritional index(PNI),body mass index(BMI),hemoglo-bin and total protein levels were lower,and the difference was statistically significant(P＜0.05).Body weight,BMI,hemoglobin,total protein,PNI and AECOPD patients with hypoproteinemia were negatively cor-related(P＜0.05),while age,length of hospital stay,C-reactive protein,NAR,NLR,PLR,SII and AECOPD patients with hypoproteinemia were positively correlated(P＜0.05).Binary logistic regression analysis showed that PNI,SII and NLR were the influencing factors of hypoproteinemia in AECOPD patients.Conclusion In clinical practice,attention should be paid to and timely correction of hypoproteinemia in pa-tients with AECOPD,improvement of inflammatory indicators and nutritional status of patients,and preven-tion of acute exacerbation.

In the field of dental aesthetics,digital aesthetic design plays a crucial role in helping dentists to predict treatment outcomes vis-ually,as well as in enhancing the consistency of knowledge and understanding of aesthetic goals between dentists and patients.It serves as the foundation for achieving ideal aesthetic effects.However,there is no clear standard for this digital process currently in China and abroad.Many dentists lack of systematic understanding of how to carry out digital aesthetic design for treatment.To establish standardized processes for dental aesthetic design and to improve the homogeneity of treatment outcomes,Chinese Society of Digital Dental Industry(CSD-DI)convened domestic experts in related field to compile this consensus.This article elaborates on the key aspects of digital aesthetic data collection,integration steps,and the digital aesthetic design process.It also formulates a decision tree for dental aesthetics at macro level and outlines corresponding workflows for various clinical scenarios,serving as a reference for clinicians.

Objective To explore the clinical value of methylation at promoter sites of urine protein kinase Y-linked(PRKY)gene in the early diagnosis of prostate cancer(PCa).Methods Urine samples were collected from 50 suspected PCa patients.After extracting DNA,the methylation levels of the PRKY gene promoter sites cg05163709,cg08045599,and cg05618150 were detected using quantitative methylation-specific PCR(qMSP).Simultaneously,the patients were divided into the benign prostatic hyperplasia(BPH)group and the PCa group.The differences in clinical indicators between the two groups were analyzed,as well as the methylation status of the PRKY gene promoter sites in the urine of the two groups of patients.The receiver operating charac-teristic(ROC)curve of PRKY promoter sites methylation was established,and the area under the curve(AUC)was calculated to analyze the diagnostic value of PRKY promoter sites methylation in PCa,and to perform com-bined diagnosis with clinical indicators.Results The methylation rates of cg05163709 and cg05618150 in urine specimens of PCa patients were significantly higher than those of BPH patients.The AUC for cg05163709 methyla-tion in diagnosing PCa was 0.762,with a sensitivity of 86.70%.It showed better performance in early screening for PCa compared to total prostate specific antigen(tPSA),percentage free prostate specific antigen(f/tPSA)and prostate specific antigen density(PSAD)index.We found that the AUC for cg05618150 methylation in conjunc-tion with PSAD in diagnosing PCa was 0.787,with a sensitivity of 86.70%.The AUC of cg05163709 methylation and PSAD in the joint diagnosis of PCa was 0.855,and the specificity could reach 95.00%.Conclusion The methylation of urine PRKY gene promoter sites cg05163709 and cg05618150 shows high sensitivity and specificity in diagnosing PCa,making them promising biomarkers for early detection of PCa.

Objective To determine the correlation between single-nucleotide polymorphisms of IL-17 with type 2 diabetes in Han population in southeastern Shanxi Provincein.Methods The basic information and related clinical data of the subjects were collected of normal healthy controls and T2DM.Whole blood DNA was extracted,and IL-17 polymorphisms(rs2275913,rs3819024,rs4711998 and rs8193036)were analyzed by using a polymerase chain reaction-high temperature ligase reaction.Results There was no significant difference in the genotype and allele frequency distribution of the four SNP loci of IL-17 gene between the two groups(P>0.05).IL-17 polymorphism was not linked with T2DM in multiple genetic models after controlling for age,BMI,WC,and dyslipidemia(P>0.05).Further analysis showed that the levels of AA genotype was substantially lower of FPG and HOMA-IR levels when compared with the AG and GG genotypes,and the differences among the three groups were statistically significant(P<0.05).However,BMI,FINS,HbA1c and HOMA-βwas no statistical significance among the three groups(P>0.05).Besides,WC and HOMA-IR of AA genotype(rs3819024)were notable higher than those of GG genotype in T2DM group(P<0.05).Conclusions The IL-17 gene polymorphisms rs2275913,rs3819024,rs4711998,and rs8193036 in the Han population of southeast Shanxi Province may not be associated with T2DM.In this region Han T2DM patients,AA genotype at rs2275913 of the IL-17 gene is associ-ated to FPG and HOMA-IR,while GG genotype at rs3819024 is related to WC and HOMA-IR,which could be the potential genotype of IL-17 impacting glucose metabolism.

BACKGROUND:Some patients with cervical spondylosis have not been fully corrected sagittal position balance after cervical surgery,and this continuous sagittal position imbalance may be an important reason for the poor long-term clinical outcome of patients. OBJECTIVE:To analyze the correlation between the cervical sagittal position balance parameters and their changes and the clinical efficacy of patients in the unbalanced state after anterior cervical decompression and fusion and to explore the necessity of surgical correction of sagittal balance in order to improve the clinical effect in the later stage. METHODS:A retrospective analysis was performed on 125 patients with cervical spondylosis who underwent anterior cervical decompression and fusion in the Department of Spinal Surgery of Affiliated Hospital of Southwest Medical University from July 2019 to July 2022.Follow-up patients had good postoperative recovery(neck disability index score less than 10%one week after surgery)and had complete follow-up data.According to the axial vertical distance(C2-7 SVA)in sagittal position one week after surgery,patients were divided into type I imbalance group(C2-7 SVA loss≤5 mm,n=27),type Ⅱ imbalance group(C2-7 SVA loss>5 mm,and≤10 mm,n=19),and type Ⅲ imbalance group(C2-7 SVA loss>10 mm,n=12),and non-unbalanced group(C2-7 SVA in the normal range,n=67).The changes of visual analog scale score and neck disability index were compared among groups postoperatively and the last follow-up,as well as the changes of imaging sagittal balance parameters C2-7 cobb angle,C2-7 SVA value,neck inclination angle,T1 inclination angle,and thoracic entrance angle.The correlation between the late clinical effect and postoperative cervical sagittal disequilibrium was explored. RESULTS AND CONCLUSION:(1)There was no statistical difference in general data among the four groups(P>0.05).All patients underwent successful surgery without serious complications and postoperative wound infection.The follow-up time was more than 1 year.(2)There was no significant difference in preoperative symptom score and clinical efficacy one week after surgery(P>0.05).At the last follow-up,pain visual analog scale score,neck disability index and C2-7 SVA were lower than those before surgery but higher than those one week after surgery(P<0.05).C2-7 cobb angle was increased compared with those before operation(P<0.05).T1 inclination angle was decreased compared with those before operation(P<0.05).(3)Pearson correlation test showed that the change of neck disability index was positively correlated with the change of C2-7 SVA(P<0.05).(4)It is indicated that anterior cervical decompression and fusion is effective in the treatment of cervical spondylosis,and can effectively relieve the symptoms of patients.Patients with more severe cervical sagittal disequilibrium after surgery had worse curative effect in the later period.Continuous sagittal disequilibrium in patients with cervical spondylosis after surgery is an important cause of poor curative effect in the later stage.Clinicians should pay more attention to the correction of cervical sagittal balance before and during surgery,formulate surgical strategies and plans according to sagittal balance parameters before surgery,and correct C2-7 SVA intraoperatively to the normal range.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.