By reconstructing the integrated Chinese and western medicine diagnostic and treatment system， the "Two Reconstructions" theoretical framework establishes a standardized pathway of "classification-staging-syndrome differentiation"， which improves the accuracy of disease identification and strengthens the capacity for full-course intervention； in addition， by reconstructing the modern materia medica system， it innovatively integrates the traditional properties and efficacy of Chinese herbal medicinals with modern pharmacological mechanisms， forming a "state-target co-regulation" precise medication model， and builds a dose-effect theoretical system for prescriptions and medicinals， thereby enhancing both the targeting accuracy and dosage precision of therapeutic interventions. The "Two Reconstructions" theorecitcal framework is a key strategy for enhancing clinical efficacy. It can precisely identify "states" and "targets" for directed intervention， shift the focus of prevention and treatment earlier to enable full-cycle management， establish standardized paradigms for reproducible and evaluable efficacy， and expand the scope of clinical practice to address conditions without typical syndromes and critical illnesses. As a systematic pathway for innovation in TCM， this theoretical framework provides valuable insights and references for promoting the high-quality development of integrative Chinese and western medicine.

Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of scarlet fever in Wenzhou City, Zhejiang Province from 2015 to 2024, so as to provide a basis for prevention and control for scarlet fever. Methods: The data of scarlet fever cases in Wenzhou City from 2015 to 2024 were collected from the Surveillance System of China Information System for Disease Control and Prevention. Descriptive epidemiological methods were used to analyze the temporal, demographic, and regional distribution characteristics of scarlet fever. Spatial autocorrelation and spatio-temporal scanning analyses were employed to examine the spatial-temporal clustering of scarlet fever. Results: A total of 1 731 cases of scarlet fever were reported in Wenzhou City from 2015 to 2024, with an average annual reported incidence of 2.08/100 000 , showing a declining trend (AAPC=-11.037%, P<0.05). Incidence peaks occurred from April to June and from November to January of the following year, with seasonal indices all exceeding 100%. The average annual reported incidence was higher in males than in females (2.43/100 000 vs. 1.70/100 000, P<0.05). The cases were mainly children aged ≤10 years, with 1 662 cases accounting for 96.01%. Lucheng District, Ouhai District and Taishun County had the top three average annual reported incidences of scarlet fever, at 7.17/100 000, 5.18/100 000 and 4.73/100 000, respectively. Spatial autocorrelation analysis showed that, spatial clustering of scarlet fever cases in the periods 2015 to 2019 and 2021 to 2024 (Moran's I>0, all P<0.05). Spatio-temporal scanning analysis identified a primary-type clustering and a secondary-type clustering of scarlet fever in Wenzhou City from 2015 to 2024. The primary-type clustering was centered on Wutian Subdistrict in Ouhai District, covering 19 townships / subdistricts, with a clustering period from January 2015 to December 2019. The secondary-type clustering was centered on Xiaocun Town in Taishun County, covering 42 townships / subdistricts, with a clustering period from April 2018 to June 2019. Conclusions The incidence of scarlet fever in Wenzhou City from 2015 to 2024 showed an overall declining trend, with a high incidence among school-aged children and distinct spatial-temporal clustering. Peaks in cases occurred from April to June and from November to January of the following year. Focused prevention and control efforts are recommended in Lucheng District, Ouhai District, and Taishun County.

ObjectiveTo investigate the distribution of traditional Chinese medicine （TCM） syndrome elements in type 2 diabetes mellitus （T2DM） patients based on maximum body mass index （maxBMI） and explore their association with complication risks. MethodsA retrospective cross-sectional study was used to collect clinical data from hospitalized T2DM patients， extracting age， gender， smoking history， alcohol consumption history， duration of disease， HbA1c level， complications， and TCM syndromes， and extracting the syndrome elements of disease location and disease nature based on their TCM syndromes. MaxBMI was calculated by telephone survey of patients' self-reported maximum body weight； patients with maxBMI ≥24 kg/m² were classified into spleen-heat syndrome group， and those with maxBMI ＜24 kg/m² were classified into consumptive-heat syndrome group. The distribution of TCM syndrome types and syndrome elements of patients in the two groups were analysed. Then the propensity score matching method was used to balance the baseline characteristics between the two groups and compare the differences in the distribution of syndrome types and syndrome elements and the risk of macrovascular and microvascular complications between the two groups. ResultsAmong the 1178 T2DM patients， syndrome elements in spleen-heat patients （1034 cases） were primarily located in the spleen （351 cases， 33.95%）， liver （240 cases， 23.21%）， and stomach （139 cases， 13.44%）， while in consumptive-heat patients （144 cases）， they were concentrated in the spleen （57 cases， 39.58%）， liver （34 cases， 23.61%）， and kidneys （17 cases， 11.81%）； regarding syndrome elements of disease nature， spleen-heat patients were predominantly characterized by qi deficiency （481 cases， 46.52%）， phlegm （353 cases， 22.73%）， and dampness （241 cases， 23.31%）， whereas consumptive-heat patients showed more qi deficiency （84 cases， 58.33%） and yin deficiency （44 cases， 30.56%）. After propensity score matching， 132 cases were included in each group， and no statistically significant differences were observed in the distribution of syndrome elements of disease location between the two groups （P＞0.05）， but the phlegm element was significantly more prevalent in spleen-heat patients than in consumptive-heat patients （P = 0.006）. Regarding the risk of complications， spleen-heat patients had a significantly higher risk of developing macrovascular complications compared to consumptive-heat patients （OR=2.04， P=0.010）， while no significant differences were found between groups in the occurrence of microvascular complications （P＞0.05）. ConclusionThe spleen-heat T2DM patients show a more frequent syndrome element of disease nature of phlegm， and a higher risk of developing macrovascular complications compared to consumptive-heat patients.

Objective:To investigate the efficacy of two types of micro-focused ultrasound devices combined with botulinum toxin type A (BoNT-A) injection for facial rejuvenation.Methods:A retrospective study was conducted, including 60 female patients aged 28-70 (41.3±7.9) years, who received facial rejuvenation treatment at the Department of Plastic and Reconstructive Surgery, Zhongnan Hospital of Wuhan University, from April 2023 to April 2024. Patients were divided into two groups based on the treatment method: the control group (received only micro-focused ultrasound treatment, n=30) and the combined group (received both micro-focused ultrasound and BoNT-A injection, n=30). Additionally, patients were further categorized into four subgroups based on the type of micro-focused ultrasound device used: Peninsula Microultra? (PM) device group ( n=15), Intelligent Ultrasound? (IU) device group ( n=15), PM device + BoNT-A injection group ( n=15), and IU device + BoNT-A injection group ( n=15). The severity of facial wrinkles was assessed using the wrinkle severity rating scale (WSRS), the Merz aesthetic scale (MAS), and the global aesthetic improvement scale (GAIS) at baseline and 6 months post-treatment. Adverse event rates were also recorded. Results:At 6 months post-treatment, the combined group showed significantly lower WSRS and MAS scores than the control group (both P<0.001). No significant differences were found between the PM and IU device groups, or between the PM + BoNT-A and IU + BoNT-A groups regarding WSRS and MAS scores (all P>0.05). Self-reported GAIS improvement was 56.7% (17/30) for the control group and 80.0% (24/30) for the combined group, with the combined group showing superior results ( P=0.015). The physician-assessed GAIS improvement was 70.0% (21/30) for the control group and 96.7% (29/30) for the combined group, again with the combined group showing superior results ( P=0.007). No significant differences were found in self-reported or physician-assessed GAIS improvement between the PM and IU device groups, or between the PM + BoNT-A and IU + BoNT-A groups (all P>0.05). No severe adverse reactions, such as blisters, scabbing, purpura, bruising, scarring, peripheral facial paralysis, allergies, muscle weakness, dysphagia, or dysphonia, were observed in any patient. Conclusion:The combination of micro-focused ultrasound and BoNT-A injection for facial rejuvenation is more effective than micro-focused ultrasound alone, while there are no significant differences in efficacy between the two micro-focused ultrasound devices.

Objective:To construct a predictive model of ≥ grade 2 radiation esophagitis (RE) in patients with esophageal cancer during concurrent radiochemotherapy (CRT) based on machine learning (ML) algorithm.Methods:A retrospective analysis was conducted on the clinical data of 276 patients with esophageal cancer who had received CRT at Lu'an Hospital of Anhui Medical University from January 2018 to January 2023. The occurrence of RE was evaluated according to grading criteria of RE developed by American Radiation Therapy Oncology Group, with ≥ grade 2 RE as the outcome event. After screening variables through the least absolute shrinkage and selection operator (LASSO) regression, the dataset was re-established. The dataset was then divided into training set ( n=193) and testing set ( n=83) in a 7∶3 ratio and included in four ML models: random forest (RF) , decision tree (DT) , extreme gradient boosting (XGBoost) , and support vector machine (SVM) . In the models, data training and model optimization were conducted in the training set, and model performance was evaluated in the testing set using the receiver operator characteristic (ROC) curve. The area under the curve (AUC) , accuracy, precision, sensitivity, and F1 score were calculated to assess the model. SHAP analysis was used to explain the optimal model. Results:By the end of follow-up, 91 cases (32.97%) of esophageal cancer patients had experienced ≥ grade 2 RE during CRT. There were statistically significant differences in tumor lesion length ( Z=-5.53, P<0.001) , Karnofsky performance status (KPS) score ( χ2=5.92, P=0.015) , the Eastern Cooperative Oncology Group (ECOG) score ( χ2=4.01, P=0.045) , hypertension ( χ2=15.35, P<0.001) , diabetes ( χ2=13.06, P<0.001) , white blood cell count ( Z=-6.59, P<0.001) , neutrophil count ( Z=-6.72, P<0.001) , and radiotherapy dose ( χ2=9.81, P=0.002) between ≥ grade 2 RE occurrence group ( n=91) and no occurrence group ( n=185) . After LASSO regression screening, 7 characteristic variables were ultimately selected, which were tumor lesion length, ECOG score, KPS score, neutrophil count, hypertension, diabetes, and radiotherapy dose. ROC curve analysis showed that the XGBoost model had better predictive performance, with an AUC of 0.90, accuracy of 0.82, precision of 0.80, sensitivity of 0.73, and F1 score of 0.76. The AUC, accuracy, precision, sensitivity, and F1 score of RF model were 0.89, 0.78, 0.76, 0.48, and 0.59, respectively. The AUC, accuracy, precision, sensitivity, and F1 score of DT model were 0.72, 0.72, 0.44, 0.60, and 0.52, respectively. The AUC of SVM model was 0.74, with an accuracy of 0.82, precision of 0.52, sensitivity of 0.88, and F1 score of 0.65. The XGBoost model was explained using SHAP analysis, which indicated that the tumor lesion length, neutrophil count, hypertension, diabetes, and radiotherapy dose had a strong predictive ability for the occurrence of ≥ grade 2 RE during CRT in esophageal cancer patients. Conclusions:The model established based on the XGBoost method has good predictive performance for the occurrence of ≥ grade 2 RE in esophageal cancer patients during CRT. Meanwhile, combined with SHAP analysis, it can provide an intuitive understanding of the impact of important features in the model on the outcome.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

OBJECTIVE To explore the effect of tracking methodology on investigation of contamination incidents of bronchoalveolar lavage fluid(BALF)specimens from the children.METHODS The onsite tracking was carried out for the contamination incidents of BALF specimens of the children through the tracking methodology,the quality control processes of cleaning and disinfection of bronchofiberscopes and the tracking routes were determined.The quality control process of cleaning and disinfection of bronchofiberscopes were evaluated,the existing risks were found out,and the specific improvement measures were formulated.RESULTS The onsite tracking was carried out for the incident of carbapenem-resistant Klebsiella pneumoniae(CRKP)that was caused by the contamination of 12 BALF specimens from pediatrics department wards before and after Nov.1,2021.No.2180014C bronchofiber-scope without biological surveillance was determined as the high-risk point of contamination of BALF specimens,the monitoring procedure of cleaning and disinfection of the bronchofiberscopes was revised.The BALF specimens that were submitted from Dec.1,2021 to Dec.31,2021 were tracked,and no CRKP was detected among the 23 submitted specimens.Totally 12 bronchofiberscope specimens were collected for biological surveillance,and the qualified rate was 100.00％.The treatment rooms of pediatrics department,hand disinfection effect of health care workers of cleaning and disinfection rooms and disinfection effect of object surfaces were monitored,and the quali-fied rate was increased from 98.39％to 100.00％.CONCLUSIONS The tracking methodology is an effective tool for quality management and can be used for evaluation of quality process of cleaning and disinfection of bronchofi-berscopes,which may find out the causes for adverse events in a timely manner and raise the medical safety.

Objective:To investigate the effectiveness of predictive nursing based on root cause analysis in patients undergoing cesarean section.Methods:A convenience sampling method was used to select 180 women who underwent cesarean section under combined spinal-epidural anesthesia in the Affiliated Hospital of Jining Medical University from September 2021 to October 2022. According to the random number table method, they were divided into a control group ( n=90) and an observation group ( n=90). The control group received routine nursing care, while the observation group received predictive nursing based on root cause analysis. Compared the pain intensity at 24 hours after cesarean section and the incidence of postoperative complications between the two groups of parturients. Results:The Visual Analog Scale scores at 24 hours post-cesarean section and the overall incidence of postoperative complications were lower in the observation group than those in the control group, and the differences were statistically significant ( P<0.05) . Conclusions:Predictive nursing based on root cause analysis can effectively relieve postoperative pain and reduce the incidence of complications in patients undergoing cesarean section with combined spinal-epidural anesthesia.

Objective To investigate the potential value of a deep learning(DL)model based on non-contrast CT images in predicting contrast medium extravasation in contrast-enhanced CT scans of tumor patients.Methods A total of 298 tumor patients were retrospectively selected,including 90 patients with extravasation and 208 without extravasation,and divided into training set(207 patients),validation set(46 patients),and external test set(45 patients)in a ratio of 7︰1.5︰1.5.U-Net was employed to segment the right common carotid artery/internal jugular vein and right subclavian artery/vein in non-contrast CT images,and ResNet50 was utilized to extract imaging features to construct the DL model,which was subsequently integrated with independent clinical predictors to establish the combined model.The segmentation performance of the DL model was evaluated using Dice similarity coefficient(DSC)and Intersection over Union(IoU),while the area under the curve(AUC),accuracy,sensitivity,and specificity of the model were calculated.Results The DL model demonstrated superior vascular segmentation(DSC 0.81-0.95,IoU 0.79-0.90).The combined model achieved optimal predictive performance,with AUC of 0.961[95%confidence interval(CI)0.924-0.983],0.949(95%CI 0.840-0.992),and 0.891(95%CI 0.762-0.964)in the training,validation,and external test sets,respectively.Its accuracy,sensitivity,and specificity were consistently higher than those of the standalone clinical model.Conclusion The DL model based on non-contrast CT images shows significant potential value in predicting contrast medium extravasation risk in tumor patients,providing an objective and intelligent tool for clinical risk assessment.

Objective:To explore healthcare professionals′knowledge and experience regarding trismus exercises following oral cancer treatment, aiming to provide reference for developing standardized exercise protocols.Methods:A phenomenological qualitative research approach was employed. Using purposive sampling, 16 healthcare professionals from the Oral and Maxillofacial-Head and Neck Oncology, Radiotherapy, and Rehabilitation Departments of the Ninth People′s Hospital, Shanghai Jiao Tong University School of Medicine, were selected between June and October 2023. Semi-structured interviews were conducted, and the data was analyzed using Colaizzi′s method.Results:Among the 16 research subjects, there were 7 males and 9 females, aged (43.63 ± 7.04) years. Four main themes emerged: methods for assessing trismus, including objective and subjective evaluations; types of trismus exercises, encompassing passive opening exercises, active opening exercises, and other oral movements; timing of trismus exercises, including when to start and when to end; factors influencing exercise effectiveness, including patient-specific factors and treatment-related factors.Conclusions:Rehabilitation for trismus following oral cancer treatment should combine objective and subjective assessments, primarily employing passive and active mouth opening exercises supplemented by other oral training methods. Exercises should begin as early as possible and be maintained long-term. When developing personalized exercise regimens, both individual patient characteristics and treatment factors should be considered.