ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine （TCM） syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital， Beijing University of Chinese Medicine. After standardized processing， 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique （SMOTE） was employed to balance the dataset. Four base models， logistic regression （LR）， decision tree （dt）， multilayer perceptron （MLP）， and Bagging， were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy， recall， precision， F1-score， receiver operating characteristic （ROC） curve， area under the curve （AUC）， and confusion matrix. ResultsAmong the 921 cases， six syndrome types had over 50 cases each， phlegm-heat obstructing the lung （294 cases）， wind pathogen latent in the lung （103 cases）， cold-phlegm obstructing the lung （102 cases）， damp-heat stagnating in the lung （64 cases）， lung yang deficiency （54 cases）， and phlegm-damp obstructing the lung （53 cases）， yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough， expectoration， odor-induced cough， throat itchiness， itch-induced cough， and cough triggered by cold wind. Among the four base models， the MLP model showed the best diagnostic performance （test accuracy： 0.9104； AUC： 0.9828）. Compared with the base models， the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set， showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC （0.9836） in the test set， outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung （AUC： 0.9984） and wind pathogen latent in the lung （AUC： 0.9970）. ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models， resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.

OBJECTIVE: To explore the clinical application of transurethral steam thermal ablation of the prostate as an ultra-minimally invasive treatment of benign prostatic hyperplasia (BPH). METHODS: We treated 18 BPH patients by transurethral steam thermal ablation of the prostate in our hospital, and followed them up for 6－12 months after operation. We obtained the IPSS, maximum urinary flow rate (Qmax), IIEF-5 scores, Male Sexual Health Questionnaire-Ejaculatory Dysfunction-Short Form (MSHQ-EjD-SF) scores and quality of life (QOL) scores from the patients and compared them before and after surgery. RESULTS: Operations were successfully completed in all the cases, with no intraoperative complications, and all the patients were discharged on the second day after surgery. At the 6-month follow-up after surgery, the Qmax increased from (10.08 ± 2.06) ml/s before surgery to (7.51 ± 3.21) ml/s, the IPSS decreased from 23.72 ± 1.87 to 8.06 ± 1.39, and the QOL score decreased from 5.11 ± 0.58 before surgery to 1.28 ± 0.46. The differences in these indicators were statistically significant (P<0.05). And these is no significant difference in the MSHQ-EjD-SF and IIEF-5 score(P>0.05). CONCLUSION Transurethral steam thermal ablation of the prostate is a safe, effective and almost non-invasive surgical strategy for the treatment of BPH, with a good prospect of clinical application.
Humans ; Male ; Prostatic Hyperplasia/surgery* ; Aged ; Middle Aged ; Treatment Outcome ; Steam ; Transurethral Resection of Prostate/methods* ; Quality of Life

Objective:This study aims to investigate the influence of microvessel density（MVD） and microlymphatic vessel density（MLVD） on the prognosis of patients with hypopharyngeal squamous cell carcinoma（HPSCC） and to develop a nomogram prediction model for prognosis based on pathological characteristics. Methods:A retrospective analysis was conducted on clinicopathological and follow-up data from HPSCC patients who underwent surgical treatment at our institution between June 2010 and June 2020. Immunohistochemical staining was performed on tumor tissues and adjacent normal margin tissues to evaluate MVD and MLVD. The associations among MVD, MLVD, and clinicopathological features were analyzed. Univariate and multivariate Cox regression analyses were conducted to identify independent risk factors affecting overall survival（OS）. Based on these findings, a nomogram model was constructed and its predictive accuracy was assessed using C-index, receiver operating characteristic（ROC） curve, and calibration curve. Results:Both MVD and MLVD were significantly higher in HPSCC tumor tissues compared to normal tissues. Patients in the high MVD and high MLVD groups exhibited significantly lower OS rates than those in the low MVD and low MLVD groups. Multivariate Cox regression analysis revealed that N stage, recurrence, nerve invasion, lymph node capsule invasion, MVD, and MLVD were independent prognostic factors of OS. Based on these factors, a nomogram prognosis model was successfully constructed. The nomograms demonstrated superior performance in terms of C-index, area under the ROC curve, and calibration, outperforming the AJCC TNM staging system. Conclusion:Elevated MVD and MLVD levels are associated with poorer prognosis in HPSCC patients. The nomogram model based on pathological features provides valuable insights for clinical assessment and decision-making.
Humans ; Hypopharyngeal Neoplasms/blood supply* ; Prognosis ; Retrospective Studies ; Microvascular Density ; Nomograms ; Lymphatic Vessels/pathology* ; Male ; Female ; Middle Aged ; Carcinoma, Squamous Cell/blood supply* ; Microvessels/pathology* ; Lymphatic Metastasis ; Survival Rate

The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans ; Malocclusion, Angle Class III/classification* ; Orthodontics, Corrective/methods* ; Consensus ; Child

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Objective:To analyze the mutant spectrum of clonal hematopoiesis of indeterminate potential(CHIP)related mutations and clinical characteristics and to explore the correlation and the possible mechanism between CHIP-related mutations and cardio-cerebrovasculars events(CCEs)in patients with myeloproliferative neoplasms(MPNs).Methods:The clinical data and next-generation sequencing results of 73 MPN patients in Beijing Anzhen Hospital from August 2019 to July 2022 were retrospectively analyzed.Statistical analyses were conducted by multivariate logistic regression for the effects of CHIP-related mutations and inflammatory cytokines on CCEs for MPNs patients.Results:Fifty-five cases of MPN(75.3％)showed positive in CHIP-related genes.There was no significant difference in variant allele frequency of CHIP-related gene between essential thrombocythemia(ET)and polycythemia vera(PV).CHIP-related gene mutations were mainly single gene mutations,with mutation rate from high to low as JAK2V617F(63.0％,46/73),ASXL1(16.4％,12/73),TET2(11.0％,8/73),DNMT3A(9.6％,7/73),SRSF2(6.9％,5/73),SF3B1(4.1％,3/73),TP53(1.4％,1/73)and PPM1D(1.4％,1/73).The mutation rate of CHIP-related genes in MPN patients＞60 years old was significantly higher than that in the patients ≤ 60 years old[91.7％(33/36)vs 59.5％(22/37)].CCEs occurred in 27 MPNs patients(37.0％,MPNs/CCEs),and 5 had recurrent CCEs,all of which were arterial events.Age(62.8±12.8 years vs 53.9±15.8 years,P=0.015),IL-1β level(17.7±26.0 vs 4.3±8.6,P=0.012),IL-8 level(360.7±598.6 vs 108.3±317.0,P=0.045),the proportion of the patients with thrombosis history(29.6％vs 2.2％,P=0.020),and the detection rate of CHIP-related mutations(88.9％vs 67.4％,P=0.040)in the group with CCEs were higher than those in the group without CCEs.Multivariate Logistic regression analysis showed that age(OR=0.917,95％CI:0.843-0.999,P=0.047),thrombosis history(OR=34.148,95％CI·2.392-487.535,P=0.009),any CHIP-related mutations(OR=16.065,95％CI·1.217-212.024,P=0.035),and elevated levelofIL-1β(OR=0.929,95％CI:0.870-0.992,P=0.027)were independent risk factors for MPNs/CCEs.CHIP-related gene mutations were not associated with CCEs in MPN patients,but DNMT3A(OR=88.717,95％CI:2.690-292.482,P=0.012)and ASXL1(OR=7.941,95％CI:1.045-60.353,P=0.045)were independent risk factors for CCEs in PV.Conclusion:There is a higher mutation rate of CHIP-related genes in MPN patients,especially those over 60 years old.Older age,thrombosis history,CHIP-related mutations and IL-1βelevated levels are independent risk factors for CCEs in MPN.DNMT3A and ASXL1 mutations are independent risk factors for CCEs in PV patients.CHIP-related gene mutations and inflammatory cytokine IL-1 β elevated levels may be the novel risk factors for CCEs in MPN.

Fatty acid synthase (FASN) is an essential molecule in lipid metabolic pathways, which are crucial for cancer-related studies. Recent studies have focused on a comprehensive understanding of the novel and important regulatory effects of FASN on malignant biological behavior and immune-cell infiltration, which are closely related to tumor occurrence and development, immune escape, and immune response. FASN-targeting antitumor treatment strategies are being developed. Therefore, in this review, we focused on the effects of FASN on tumor and immune-cell infiltration and reviewed the progress of related antitumor therapy development.

Although surgical resection remains to be the best treatment strategy for stageⅠnon-small cell lung cancer (NSCLC), percutaneous thermal ablation offers an important option for patients who are unable to undergo surgical resection. Currently, there are three main thermal ablation methods used in the treatment of lung cancer, including radiofrequency ablation (RFA), microwave ablation (MWA) and argon-helium cryoablation (AHC). With the improvement of technique and the accumulation of experience in the treatment of lung cancer, some limitations are disclosed in the initial application of RFA, such as heat sink effect, skin burns and rapid carbonization. These shortcomings have been overcome in the development of MWA and AHC. The feasibility and safety of thermal ablation for the treatment of lung cancer has been demonstrated and its efficacy has been significantly improved (especially for the tumour diameter≤3 cm). This article will focus on the application and recent research developments of these ablation techniques in the treatment of lung cancer.

AIM: To observe the effect of RBC preservation solution with sodium pyruvate on the morphology, structure and function of RBC stored in vitro in type 2 diabetes rats. METHODS: Thirty SPF male SD rats, were randomly divided into 3 groups (n=10): non-T2DM conventional RBC preservation solution (group A), T2DM conventional RBC preservation solution (group B) and T2DM sodium pyruvate RBC preservation solution (group C). The leukoreduced RBC from the tail vein and stored for 0 d (T0), 7 d (T1), 14 d (T2), 21 d (T3) and 28 d (T4) to detect the morphology, structure and the contents of 2, 3-DPG, reactive oxygen species (ROS), malondialdehyde (MDA) and lactic acid (LA) of RBC in group A, B and C. The RBC stored for 14 days in vitro were labeled with PKH26, and its survival rate were tested in vivo at 1, 4, 10 and 16 hours after intravenous infusion. RESULTS: At T0, the RBC morphology of group A was intact, which was better than that of group B and group C. With the extension of storage time, the morphology of RBC in each group gradually transformed into a spindle-spherical shape. Compared with group A, the incidence of acanthocytes in group B and group C was higher, and the incidence of acanthocytes in group C was lower than that in group B. Compared with group A, the content of 2, 3-DPG in group B and group C decreased, while ROS and MDA increased at different time points (P<0.05). The content of 2,3-DPG in group C was higher than that in group B (P<0.05), and the contents of ROS and MDA were lower than those in group B (P<0.05). LA content in group B was higher than that in group A and group C (P<0.05). At T2-T4, the LA content in group C was lower than that in group A (P<0.05). The survival rate of RBC in group A was higher than that in group B and C, and the survival rate of RBC in group B was lower than that in group C (P<0.05). CONCLUSION: Sodium pyruvate added RBC preservation solution has a certain protective effect on RBC stored in vitro in type 2 diabetic rats, and its mechanism may be related to its antioxidant effect.

Lung cancer is the leading cause of cancer-related deaths worldwide. Despite growing efforts for its early detection by screening populations at risk, the majority of lung cancer patients are still diagnosed in an advanced stage. In the last decade, the treatment of non-small cell lung cancer (NSCLC) has been improved significantly. Emerging options of targeted therapies and immunotherapies have shifted the management of lung cancer to a more personalized treatment approach, significantly influencing the clinical course and outcome of the disease. At present, molecular biomarkers are becoming a powerful tool for diagnosing cancer, predicting treatment response outcomes, and assessing prognosis. In this review, we summarized the biomarkers relevant to the diagnosis, prediction, and prognosis of NSCLC as well as promising novel predictive biomarkers in the future.