Comfortable supragingival scaling uses ultrasonic cleaning with sedation and minimally invasive techniques to minimize the negative emotions of patients and improve patient compliance. At present, there is still much room for optimization of the environment, equipment, and operation steps for the development of comfortable supragingival scaling. On this basis, the Department of Periodontology, College of Stomatology, Xi'an Jiaotong University proposed a 16-step new model of comfortable supragingival scaling. The new model incorporates adjustments to the previous model concerning the environment, equipment, operational procedures, process links and services, comprising 16 steps for optimization and innovation. Clinical practice has confirmed that the 16-step new model of comfortable supra-gingival scaling can significantly improve patient satisfaction and adherence to medical treatment, and it has good promotional value.
Humans ; Dental Scaling/instrumentation* ; Patient Satisfaction ; Patient Compliance ; Gingiva

The advancement of surgical techniques enables effective treatment for many patients with oral and maxillofacial tumors.How-ever,post-surgery problems such as chewing,swallowing and speech difficulty may arise due to the defects in speech organs and inade-quate compensatory function of tissue flap repair.Speech disorders,in particular,isolate patients by making it difficult for them to com-municate with others,not only impact their quality of life but also potentially lead to psychological problems and social interaction disor-ders.Although the decline in life quality and other related issues caused by speech dysfunction due to surgery and radiotherapy or chemo-therapy have been widely recognized,there is currently no standardized and universally applicable assessment method and standardized re-habilitation treatment management guideline or consensus for speech disorders following oral and maxillofacial tumor surgery at home and abroad.Based on previous clinical practice,combined with the characteristics of speech disorders in patients after oral and maxillofacial tumor surgery,the clinical experience of the experts in maxillofacial tumor surgery and rehabilitation and the relevant domestic and foreign literature,relevant experts organized discussions and modifications,reach a consensus on core content such as the assessment of speech disorders and the implementation plan for early rehabilitation treatment management,providing a reference for clinical practice,in order to improve patients'speech-related life quality and enhance the assessment and rehabilitation treatment techniques for speech disorders after oral and maxillofacial tumor surgery.

OBJECTIVE The non-volatile and volatile chemical components in Yin-Qiao-Qing-Re Tablets were analyzed sepa-rately using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS)and Gas Chromatography Mass Spectrometry(GC-MS).METHODS The non-volatile components were analyzed using a Waters ACQUITY UPLC BEH C18 column(2.1 mm×100 mm,1.7 μm),with a mobile phase consisting of 0.1％formic acid aqueous solution(A)and acetonitrile(B)for gradient elution,a flow rate of 0.35 mL·min-1,an injection volume of 5 μL,and a column temperature of 30 ℃;the volatile components were analyzed using an Agilent SH-I-5MS column(5％Phenyl Methyl Silox,30 m×250 μm,0.25 μm);the procedure was temperature-programmed,with an injection volume of 1 μL,a split ratio of 10∶1,a flow rate of 1.0 mL·min-1,and an inlet temperature of 200 ℃.RESULTS A total of 134 non-volatile chemical components and 23 volatile components were analyzed and identified from Yin-Qiao-Qing-Re Tablets,among which 49 compounds were confirmed through comparison with reference stand-ards.The non-volatile components mainly include 27 flavonoids,21 organic acids,15 lignans,14 iridoids,12 phenylethanoid glyco-sides,11 saponins,10 alkaloids,5 terpenes,4 amino acids,3 phenylpropanoids,3 nucleosides,3 xanthones,3 phenolic glycosides,2 chromones and 1 carbohydrate.The volatile components mainly include 11 monoterpenes,5 alcohols and phenols,3 alkenes,2 ke-tones,1 ester,and 1 hydrocarbon.CONCLUSION This study rapidly identifies the chemical components of Yin-Qiao-Qing-Re Tablets,laying a preliminary foundation for research on the pharmacodynamic substances of Yin-Qiao-Qing-Re Tablets and the im-provement of quality control standards.

ObjectiveTo establish consensus on Chinese Herbal Medicine (CHM) for rheumatoid arthritis (RA) among 21 Singaporean experts, this study addressed the lack of CHM clinical practice guidelines (CPGs) in Singapore. Despite advancements in RA therapies, the disease's progressive nature and high costs of novel treatments worsen disparities in management and outcomes. The initiative aimed to bridge this gap by developing expert-backed recommendations for CHM use in RA care.MethodsThe group of experts conducted two rounds of Delphi surveys containing 29 items identified from a literature review. Consensus was defined as ≥75% of votes in dichotomized ratings on a five-point ordinal scale for recognition. Items that did not reach consensus were discussed in a focus group with four selected experts.ResultsNineteen experts completed both rounds of Delphi surveys. A consensus was reached for 27 items, which encompassed Chinese medicine rationale, pattern differentiation, management, CHM prescription, and co-effectiveness with pharmacological therapy. Collective expert opinions were formed for the two remaining items. All items received a recognition score 3.5.ConclusionsThe consensus derived from this study provides a foundation for CHM CPGs for RA in Singapore. However, the findings are limited by the demographic composition of the experts and the representativeness of the patient pool.

The development of polysaccharide conjugate vaccines, which convert polysaccharide antigens into T-cell-dependent immunogens through covalent conjugation with protein carriers, represents a critical strategy for enhancing immune protection in infants and young children. Globally licensed conjugate vaccines currently employ carrier proteins including Tetanus Toxoid, Diphtheria Toxoid, and Cross-Reacting Material 197. Recent advances have focused on three key areas: novel carrier protein discovery, optimized conjugation strategies, and evaluation of immune interference during co-administration of multivalent formulations. These efforts aim to achieve broader serotype coverage, prolonged protective efficacy, and simplified immunization schedules. This review synthesizes recent progress in carrier protein development, encompassing vaccine design principles, manufacturing processes, safety profiles, and epidemiological effectiveness. Furthermore, it critically examines current selection criteria for carrier proteins, their clinical applications, and persistent challenges, providing strategic insights to inform future conjugate vaccine development and immunization policy optimization in China.

We reported a case with huge mass in the anterior neck region, which pathological diagnosis was thyroid metastasis from hepatocellular carcinoma(HCC). A tracheotomy was performed, and a tracheostomy tube was placed because of postoperative dyspnea. Thyroid metastasis from HCC is very rare. The causes include hematogenous metastasis, lymphatic metastasis and other factors. Furthermore, Hepatitis B virus (HBV) infection also plays an important role in tumor progression. Combined with the literature review, surgical resection of thyroid in the treatment of metastatic thyroid malignant tumors can prolong the survival. In clinical work, it is still necessary to develop a reasonable, standardized and comprehensive diagnosis and treatment strategy to improve the quality of life of patients and the therapeutic efficacy.

Objective To explore a deep learning-based automatic bone age estimation model for elbow joint X-ray images of Chinese Han adolescents and children and evaluate its performance.Methods A total of 943(517 males and 426 females)elbow joint frontal view X-ray images of Chinese Han ado-lescents and children aged 6.00 to<16.00 years were collected from East,South,Central and North-west China.Three experimental schemes were adopted for bone age estimation.Scheme 1:Directly in-put preprocessed images into the regression model;Scheme 2:Train a segmentation network using"key elbow joint bone annotations"as labels,then input segmented images into the regression model;Scheme 3:Train a segmentation network using"full elbow joint bone annotations"as labels,then in-put segmented images into the regression model.For segmentation,the optimal model was selected from U-Net,UNet++and TransUNet.For regression,VGG16,VGG19,InceptionV2,InceptionV3,ResNet34,ResNet50,ResNet101 and DenseNet121 models were selected for bone age estimation.The dataset was randomly split into 80%(754 samples)for training and validation for model fitting and hyperparameter tuning,and 20%(189 samples)as an internal test set to test the performance of the trained model.An additional 104 elbow joint X-ray images from the same demographic and age group were col-lected and used as an external test set.Model performance was evaluated by comparing the mean ab-solute error(MAE),root mean square error(RMSE),accuracies within±0.7 years(P±0.7 years)and±1.0 years(P±1.0 years)between the estimated age and the actual age,and by drawing radar charts,scat-ter plots,and heatmaps.Results When segmented with Scheme 3,the UNet++model achieved good segmentation performance with a segmentation loss of 0.000 4 and an accuracy of 93.8%at a learning rate of 0.000 1.In the internal test set,the DenseNet121 model with Scheme 3 yielded the best results with MAE,P±0.7 years and P±1.0 years being 0.83 years,70.03%,and 84.30%,respectively.In the external test set,the DenseNet121 model with Scheme 3 also performed best,with an average MAE of 0.89 years and an average RMSE of 1.00 years.Conclusion When performing automatic bone age estima-tion using elbow joint X-ray images in Chinese Han adolescents and children,it is recommended to use the UNet++model for segmentation.The DenseNet121 model with Scheme 3 achieves optimal per-formance.Using segmentation networks,especially that trained with annotation areas encompassing the full elbow joint including the distal humerus,proximal radius,and proximal ulna,can improve the ac-curacy of bone age estimation based on elbow joint X-ray images.

Objective To explore a deep learning network model suitable for bone age estimation using shoulder joint X-ray images in Chinese Han adolescents.Methods A retrospective collection of 1 286 shoulder joint X-ray images of Chinese Han adolescents aged 12.0 to<18.0 years(708 males and 578 females)was conducted.Using random sampling,approximately 80%of the samples(1 032 cases)were selected as the training and validation sets for model learning,selection and optimization,and the other 20%samples(254 cases)were used as the test set to evaluate the model's generalization ability.The original single-channel shoulder joint X-ray images and dual-channel inputs combining original images with segmentation labels(manually annotated shoulder joint regions multiplied pixel-by-pixel with original images,followed by segmentation via the U-Net++network to retain only key shoulder joint region information)were respectively input into four network models,namely VGG16,ResNet18,ResNet50 and DenseNet121 for bone age estimation.Additionally,manual bone age estimation was con-ducted on the test set data,and the results were compared with the four network models.The mean absolute error(MAE),root mean square error(RMSE),coefficient of determination(R2),and Pear-son correlation coefficient(PCC)were used as main evaluation indicators.Results In the test set,the bone age estimation results of the four models with dual-channel input of shoulder joint X-ray images outperformed those with single-channel input in all four evaluation indicators.Among them,DenseNet121 with dual-channel input achieved best results with MAE of 0.54 years,RMSE of 0.82 years,R2 of 0.76,and PCC(r)of 0.88.Manual estimation yielded an MAE of 0.82 years,ranking second only to dual-channel DenseNet121.Conclusion The DenseNet121 model with dual-channel input combined with original images and segmentation labels is superior to manual evaluation results,and can effectively estimate the bone age of Chinese Han adolescents.

Objective:To investigate the association between vitamin D deficiency, overweight and mild obstructive sleep apnea (OSA).Methods:The study was a cross-sectional study. A total of 82 mild OSA patients diagnosed in Pujin Community Health Service Center of Shanghai Minhang District and the medical consortium of Shanghai Fifth People′s Hospital from January to December 2022 were enrolled, and 82 non-OSA patients visiting outpatient clinics at the same period were selected as controls. All participants underwent polysomnography monitoring and AHI and LpO 2 were recorded. Venous blood was collected and serum vitamin D concentration was detected by ELISA method. The associated factors of mild OSA were determined with logistic regression analysis. Results:The prevalence of tonsillar hypertrophy (32.90%(27/82) vs. 18.29%(15/82)), smoking (52.4%(43/82) vs. 35.37%(29/82)) and allergic rhinitis (24.39% (20/82) vs. 12.20% (10/82) ) in mild OSA group was significantly higher than that in the control group ( χ2=4.609, 4.853 and 4.080, all P<0.05). The mild OSA group had a higher BMI ( (26.23±4.21) kg/m 2vs. (21.85±1.36) kg/m 2, t=2.517, P<0.05 ) and lower serum vitamin D level ( (12.36±7.98) pg/ml vs. (23.56±9.32) pg/ml, t=-11.818, P<0.05) compared with the non-OSA group. There were no significant differences in rates of alcohol consumption (39.02%(32/82) vs. 34.15%(28/82)) and family history of OSA (9.76%(8/82) vs. 6.10%(5/82), χ2=0.752) between the two groups. Multivariate logistic regression analysis showed that overweight ( OR=1.227, 95% CI: 1.045-1.441, P<0.05) was an independent risk factor for mild OSA, while vitamin D level ( OR=0.904, 95% CI: 0.832-0.981, P<0.05) was a protective factor for mild OSA. Interaction analysis revealed that the risk of combination of two factors for developing mild OSA was 5.638, which exceeded that of high BMI (1.375) or vitamin D deficiency alone (2.216) (all P<0.05). Conclusion:Vitamin D deficiency and overweight are risk factors for the development of mild OSA, and there is a positive interaction between these two factors.