Objective To review the diagnostic information of 3368 viral hepatitis B inpatient cases reported by some healthcare institutions in Qinghai Province in the National Notifiable Disease Report System(NNDRS)in 2021,and to analyse the consistency of their reports and influence factor.Methods The study used the typical survey method to study 3368 hospitalized cases of hepatitis B reported by 32 medical institutions in Qinghai Province in 2021 from July 2022 to April 2023.The consistency between the reported classification and the reviewed classification was evaluated by reviewing diagnostic information of the cases,combined with the Kappa consistency test,and the consistency-influencing factors were analysed in a univariate and multivariate analysis.Results The consistency between acute,chronic,and unclassified reporting classifications and review classifications was poor(Kappa＜0.40);the consistency between acute and chronic review was poor(Kappa＜0.40).The main influence factor of the consistency of review included the level of medical institution,the patient's gender,occupation,past history,and the unit of diagnosis of initial onset of illness.Provincial medical institutions reported higher consistency,and male cases and herder cases had better consistency than female cases and other occupations.Review consistency of cases with past history was better than that of cases with unclear past history.Conclusion The consistency of diagnosis and reporting of hepatitis B cases in healthcare institutions in Qinghai Province in 2021 was low,with problems of inaccurate classification and duplicate reporting.It is recommended to strengthen the training and supervision of healthcare institutions,standardise the filling of'attached card'information,and promote the hepatitis B core antibody IgM test to improve the classification and diagnosis of acute and chronic hepatitis B,so as to comprehensively improve the accuracy of the diagnosis and reporting of hepatitis B cases.

In modern society, sugary foods have become an integral part of many people′s lives. However, excessive sugar consumption has adverse effects on both overall health and oral health, serving as a contributing factor to the global increasing incidence in oral diseases, cardiovascular diseases, cancers, obesity, and diabetes. In response to the health risks related to high-sugar diets, the World Health Organization (WHO) and World Dental Federation (FDI) have proposed initiatives and recommendations, with various governments implementing different policies and strategies to reduce sugar intake. Chinese government has also taken proactive measures. The "Healthy China Action (2019-2030)" initiative introduced by the State Council in 2019 established a crucial benchmark in limiting the average daily intake of added sugar to 25 g per person forward to 2030. Experts from Chinese Center for Disease Control and Prevention and the field of oral health have meticulously examined the impacts of sugar reduction on oral health, as well as strategies, methods, and practical considerations related to reducing sugar intake through several meeting and wrote the "Expert consensus: reducing free-sugar for caries prevention", which was subsequently reviewed and revised based on the feedback from multiple stakeholders. They have conducted thorough analyses of global trends in sugar reduction and best practices to provide valuable insights to China for crafting effective policies and strategies on sugar reduction. This consensus mainly includes the classification of free sugars, the latest scientific evidence on dental caries, recommendations from WHO on sugar-sweetened beverage taxes, nutrition labeling, advertising, food reform, adjusting supply systems, education, and promotion strategies, as well as sugar reduction actions taken by various governments around the world. Combining the actual situation in China, policy recommendations and authoritative popular science knowledge on sugar reduction for caries prevention to public are proposed to advocate for experts in multiple fields to focus on sugar reduction for caries prevention, promote the work process, and provide the scientific basis for oral health educators.

This consensus was developed by the Orthodontic Society of the Chinese Stomatological Association to provide a systematic, scientific, and practical guideline for informed consent in orthodontic care. Orthodontic treatment is typically lengthy, highly individualized, and involves multiple factors such as growth and development, occlusal function, and facial esthetics. Rapid technological advances and diverse risk profiles make the traditional reliance on orthodontist experience or institutional templates insufficient to ensure patients′ full understanding and autonomous decision-making. To address this, the expert panel conducted extensive reviews of domestic and international guidelines, analyzed representative dispute cases, and performed multicenter patient-clinician surveys. Using a multi-round Delphi method, the group established a standardized informed consent framework covering the initial consultation, treatment, and retention phases. The consensus emphasizes that informed consent is not only a fundamental legal and ethical requirement but also a key step in building trust, improving patient compliance, and enhancing treatment satisfaction. Orthodontists should clearly and comprehensively explain treatment plans, potential risks, uncertainties, and associated costs, while respecting the autonomy of patients or guardians, and maintain continuous communication and dynamic evaluation throughout the treatment process. The release of this consensus provides unified and authoritative guidance for clinical orthodontics, helping to standardize informed consent, enhance its transparency, safeguard patient rights, reduce medical risks, and promote high-quality, sustainable development of orthodontic practice.

Objective:To compare the accuracy of two-dimensional (2D) ultrasound with three-dimensional (3D) reconstruction and conventional 2D ultrasound in measuring bladder volume in pelvic tumor patients, using computed tomography (CT) as the reference.Methods:A set of bladder phantoms were constructed to compare CT and ultrasound measurements with actual injected volumes. Clinical data of 104 pelvic tumor patients who received radiotherapy at the Cancer Hospital, Chinese Academy of Medical Sciences between August and December 2023 were retrospectively analyzed. Portable transabdominal ultrasound was used to obtain the largest bladder cross-section, and the maximum diameters in the left-right (LR), anterior-posterior (AP), and superior-inferior (SI) directions (D LR, D AP, D SI) were measured. The 2D ultrasound volume was calculated as V=0.523 × D LR × D AP × D SI. Full-bladder transverse videos were recorded and processed in Matlab R2016a through frame extraction(60 images), followed by contrast enhancement, edge detection segmentation, cubic spline interpolation, and image smoothing to achieve 3D reconstruction. Paired t-tests, intraclass correlation coefficients (ICC), and Bland-Altman analyses were performed to assess systematic bias and consistency between ultrasound methods and CT. Multivariate linear regression was applied to evaluate the effects of slice thickness, posture, age, and other factors on CT measurements. Results:In the phantom study, deviations of 2D ultrasound and CT from actual injected volumes were (0.73±3.05) ml ( t=-0.48, P=0.667) and (1.52±11.27) ml ( t=0.17, P=0.875), with ICC values>0.999. In the clinical study, mean bladder volumes measured by 3D-reconstructed ultrasound, conventional 2D ultrasound, and CT were (373.5±153.31), (314.89±135.28), (382.82±157.57) ml, respectively. The 3D-reconstructed method showed excellent agreement with CT (ICC=0.98; Bland-Altman mean bias=-9.32 ml, P=0.096), while 2D ultrasound also showed good consistency (ICC=0.91), but significantly underestimated bladder volume (mean bias=-67.93 ml, P<0.001). Subgroup analysis revealed that 2D ultrasound had the best agreement with CT in the medium-volume group (200-500 ml, ICC=0.902), whereas agreement decreased in the small-volume (<200 ml, ICC=0.884) and large-volume (>500 ml, ICC=0.840) groups (all P<0.001). The 3D-reconstructed ultrasound maintained excellent consistency with CT across all subgroups (all ICC>0.95), and the measured bladder volume was not statistically significant. Multivariate regression showed that slice thickness, posture, age, sex, and surgical status had no significant effects on CT measurements. Conclusions:Ultrasound with 3D reconstruction enables accurate bladder volume monitoring through true 3D contour reconstruction, while conventional 2D ultrasound systematically underestimates bladder volume and requires correction.

Osteoarthritis (OA) causes chronic pain that significantly impairs quality of life, with current treatments often proving insufficient and accompanied by adverse effects. Recent research has identified the dorsal root ganglion (DRG) and its resident macrophages as crucial mediators of chronic OA pain through neuroinflammation driven by macrophage polarization. We present a novel injectable thermo-sensitive hydrogel system, KAF@PLEL, designed to deliver an anti-inflammatory peptide (KAF) specifically to the DRG. This biodegradable hydrogel enables sustained KAF release, promoting the reprogramming of DRG macrophages from pro-inflammatory to anti-inflammatory phenotypes. Through comprehensive in vitro and in vivo studies, we evaluated the hydrogel's biocompatibility, effects on macrophage polarization, and therapeutic efficacy in chronic OA pain management. The system demonstrated significant capabilities in preserving macrophage mitochondrial function, suppressing neuroinflammation, alleviating chronic OA pain, reducing cartilage degradation, and improving motor function in OA rat models. The sustained-release properties of KAF@PLEL enabled prolonged therapeutic effects while minimizing systemic exposure and side effects. These findings suggest that KAF@PLEL represents a promising therapeutic approach for improving outcomes in OA patients through targeted, sustained treatment.

Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans ; Consensus ; Dental Caries/etiology* ; Dental Enamel/pathology* ; Tooth Demineralization/etiology* ; Tooth Remineralization

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

Objective To investigate the characteristics of laryngeal diadochokinesis(LDDK)in children with functional articulation disorder(FAD)using different corpus.Methods A total of 23 children with FAD and 21 typically developing(TD)children,aged 4-6,from Shanghai's general kindergartens were recruited.Five types of acoustic parameters were collected:average rate and jitter(％)of LDDK(/?a/,/ha/,/??/,/h?/),the diadochoki-nesis rate(/pataka/),the jitter and shimmer of the vowel/a/,maximum phonation time(MPT).Differences across different corpora of the LDDK were analyzed between the two groups.Results ① Between-group compari-son:the rate of/?a/was significantly lower in FAD children than in TD children(P＜0.05).② Different corpora comparison:the LDDK speed of/?a/-/ha/was significantly different for both groups,/?a/-/??/was significantly different in TD children,and/ha/-/h?/was significantly different in FAD children.The LDDK jitter of/ha/-/h?/was significantly different among FAD children.Conclusion The LDDK of children with FAD is weaker than the TD children,and both groups exhibiting varying abilities across different corpora.

Objective To investigate the effect of percutaneous balloon compression on the ocular surface in the treatment of trigeminal neuralgia (TN). Methods A total of 30 patients (60 eyes) diagnosed with TN who underwent parallel balloon compression surgery from May 2023 to June 2024 were included in the study. Corneal sensation,Schirmer Ⅰ test results,tear film break-up time (TBUT),and corneal fluorescein staining scores were evaluated in both eyes one day before and one day after the surgery. Results The tear secretion values and TBUT in both eyes of TN patients were lower than normal. Preoperatively,there were no statistically significant differences in various ocular examinations between the two eyes (P=0.144,P=0.072,P=0.069,P=1.000). One day postop-eratively,the corneal sensitivity,tear secretion value,and TBUT of the affected eye were significantly lower com-pared to the contralateral eye (P<0.01,P<0.01,P<0.01),while the fluorescein staining score showed a slight increase but was not statistically significant (P=0.157). Compared to preoperative levels,the postoperative corneal sensitivity,tear secretion value,and TBUT of the affected side were significantly reduced (P<0.01,P<0.01,P<0.01),while the fluorescein staining score showed a slight increase but remained non-significant (P=0.157). Conclusions TN patients patients exhibit reduced bilateral tear secretion and compromised tear film stability. Following balloon compression surgery,the corneal sensitivity of the affected eye diminishes,leading to a further decline in tear secretion and tear film stability. Consequently,it is imperative that TN patients receive ophthalmic intervention,treatment,and regular follow-up,irrespective of whether they undergo surgery.

Objective To explore the application value of different deep learning models in predicting the lung cancer spread through air spaces(STAS).Methods A total of 203 patients with stage Ⅰ—Ⅱ primary lung cancer were included,of which 74 were STAS-positive and 129 were STAS-negative.Patients were randomly divided into training set(142 cases)and test set(61 cases)at a 7∶3 ratio.Region of interest(ROI)was outlined using ITK-SNAP software,facilitating the extraction of tumor and peritumoral images.The Resnet18,Inception_v3,and Vision Transformer(Vit)were employed for model training and feature extraction.Feature selection was performed by the least absolute shrinkage and selection operator(LASSO)algorithm and Spearman correlation coefficient,followed by the establishment of a predictive model using the Naive Bayes machine learning algorithm.The receiver operating characteristic(ROC)curve was drawn to compare the prediction performance of each model.The assessment of calibration was performed using calibration curves,and the evaluation of clinical application value was conducted using decision curve analysis(DCA).Results The area under the curve(AUC)for the training and test sets were as follows:the training set Resnet18 0.849-0.930,Inception_v3 0.848-0.888,Vit 0.747-0.842;and the test set Resnet18 0.796-0.846,Inception_v3 0.783-0.804,Vit 0.690-0.796.In tumor-peritumoral images,Resnet18 had a higher calibration and better clinical net benefit,while Vit showed superior calibration and clinical net benefit when only tumor tissue was considered.Conclusion Deep learning models can effectively predict lung cancer STAS,providing more decision support for the preoperative diagnosis and treatment of stages Ⅰ—Ⅱ lung cancer.