Background: This study quantifies the global burden of alopecia areata (AA) in young adults (15–49 years) from 1990 to 2021 using data from the Global Burden of Disease 2021 study. Objective: To analyze trends in AA incidence and disability-adjusted life years (DALYs) across demographic and geographic strata. Methods: We evaluated age-standardized incidence rates (ASIRs) and age-standardized DALYs rates, stratified by sex, age, and Socio-demographic Index (SDI). Estimated annual percentage changes (EAPCs) were calculated to assess trends. Results: Global ASIR (EAPC, −0.20) and DALY rates (EAPC, −0.19) for AA declined 1990–2021, with larger declines in women, peak rates in 30–34-year-olds, and most prominent declines in high-SDI regions. High-SDI regions accounted for 42% of global DALYs (18% of the population). East Asia (ASIR EAPC, 0.02) and Oman (ASIR EAPC, 0.46) had rising incidence; East Asia (DALY EAPC, 0.04) and Guatemala (DALY EAPC, 0.48) had rising burden. SDI correlated positively with AA burden (ASIR: r=0.68, p<0.01; DALYs: r=0.72, p<0.001). Conclusion Significant disparities exist in AA burden, with higher rates in females and a peak in young adulthood. The strong positive correlation with SDI highlights the disproportionate impact of AA on high-income nations.

As one of the common chronic bacterial infections, Helicobacter pylori (Hp) infection is a key pathogenic factor of chronic gastritis, peptic ulcer and gastric cancer. In the formation of gastric ulcer, Hp virulence factors directly damage the gastric mucosal barrier, induce the local inflammation and immune response, interfere with the regulation of gastric acid secretion, and ultimately destroy the mucosal stability. In the occurrence of gastric cancer, Hp-driven chronic inflammation is the basis of inflammation-cancer transformation, and it induces the genomic instability and epigenetic changes by interfering with key signaling pathways in host cells, thereby promoting malignant transformation. This paper systematically reviews the related mechanisms of Hp-induced gastric ulcer and gastric cancer in recent years, holding great significance for the development of new intervention strategies and the precise prevention and treatment of gastric cancer.

The use of wastewater analysis, or wastewater-based epidemiology, to assess and monitor the situation of drug abuse is now widely used at home and abroad. However, there is currently a lack of effective evaluation methods and effective ways of comparison, supervision and standardization, which is not conducive to the analysis and comparisons of data in different countries and regions. Quality control techniques can control the laboratory's analytical errors, safeguard the consistency and comparability of identification conclusions, and promote the further improvement of the level and capacity of urban drug governance, thus playing significant roles. This paper provides an overview of sample collection, sample preservation and transportation, laboratory analysis, back-calculation of drug use and external laboratory quality control in the process of wastewater analysis, with a view to exploring more comprehensive scientific and objective methods and approaches suitable for examining and evaluating qualitative and quantitative analysis of drugs in wastewater among laboratories.

Objective To analyze the correlation between the Patellotrochlear index at different knee flexion angles and recurrent patellar dislocation,and to find the optimal knee flexion angle and the best diagnostic cut-off value for predicting recurrent patellar dislocation.Methods A total of 35 patients clinically diagnosed with recurrent patellar dislocation(study group)were selected.The lengths of the central sagittal plane of the patellar cartilage and the corresponding femoral trochlear cartilage were measured at knee flexion angles ranging from 0° to 70°,in 10° increments.The Patellotrochlear index was calculated and compared with the MRI data from 55 healthy volunteers(control group).Results The Patellotrochlear index in the study group and the control group showed a positive correlation with the knee flexion angle(r=0.935 and 0.909,P＜0.001).Statistically significant differences were found between the two groups at knee flexion angles of 0°,10°,20°,30°,and 40°(t=7.480,5.742,5.200,3.558,4.271,P＜0.05).The predictive efficacy of the Patellotrochlear index for recurrent patellar dislocation varied at different knee flexion angles,with the area under the curve(AUC)and the best diagnostic cut-off values of 0.891,0.834,0.778,0.710,0.741 and 0.195,0.323,0.486,0.606,0.712,respectively.Conclusion There are significant differences in the Patellotrochlear index at different knee flexion angles.A knee flexion angle of 0° is the optimal knee flexion angle for the Patellotrochlear index to predict recurrent patellar dislocation,with a recommended best diagnostic cut-off value of 0.195.

Objective:To investigate the safety and efficacy of the artery-first approach pancreaticoduo-denectomy (PD) combined with portal vein/superior mesenteric vein (PV/SMV) resection and reconstruction for pancreatic head malignancies.Methods:A retrospective analysis was conducted on 322 patients who underwent PD with PV/SMV resection and reconstruction at the Hepatobiliary Pancreatic Surgery Department of the First Hospital Affiliated to Naval Medical University between January 2016 and December 2022. Patients were divided into the artery-first approach PD group (AFA-PD group, n=165) and standard PD group (SPD group, n=157) based on surgical approach. Baseline characteristics, surgical outcomes, postoperative outcomes, pathological results and survival data were compared between two groups. Results:Compared to the SPD group, the AFA-PD group exhibited significantly reduced intraoperative blood loss (500 ml vs 600 ml), lower rates of obvious intraoperative blood loss (≥1 000 ml: 25.45% vs 40.13%), and decreased transfusion requirements (26.67% vs 52.87%). Postoperatively, the AFA-PD group demonstrated lower incidence of grade B/C pancreatic fistula (10.30% vs 19.75%) and higher textbook outcome achievement (78.79% vs 66.24%). Pathologically, the AFA-PD group achieved superior lymph node yield (20 nodes vs 18 nodes) and higher R 0 resection rates (79.39% vs 64.33%), particularly at the posterior pancreatic margin (96.97% vs 91.72%, P=0.040), SMA margin (92.07% vs 82.17%), and SMV margin (88.48% vs 78.98%). Multivariate logistic regression identified arterial invasion >180°, venous invasion >180°, lymph node metastasis, and the artery-first approach as independent predictors of R 0 resection. The AFA-PD group showed prolonged median survival (19.17 month vs 15.73 month). All aforementioned differences were statistically significant (all P value <0.05). Conclusions:The artery-first approach PD combined with PV/SMV resection and reconstruction is safe and effective for pancreatic head malignancies, significantly improving R 0 resection rates and patients' survival outcomes.

Objective To investigate the perioperative outcomes and postoperative pregnancy outcomes of patients with intrauterine adhesions(IUA)treated by see-and-treat hysteroscopy and traditional hysteroscopy in transcervical resection of adhesions(TCRA).Methods A retrospective cohort study was performed on 485 patients with moderate-to-severe IUA who met the inclusion criteria and admitted in our hospital from January 2019 to December 2021.According to surgical approaches,the patients were assigned into a see-and-treat mode group and a traditional mode group.After clinical diagnosis(ultrasound and symptoms)of IUA,the patients from the former group received direct hysteroscopic adhesion separation surgery,and those of the latter group were diagnosed by outpatient hysteroscopy first and then hysteroscopic adhesion separation surgery.The perioperative indicators,postoperative three-dimensional transvaginal ultrasound(3D-TVUS)examination related characteristics,postoperative menstrual recovery,postoperative pregnancy outcomes,obstetric related complications,and neonatal outcomes were collected and compared between the 2 groups.Results Among the enrolled 485 patients,there were 277 in the see-and-treat group and 208 in the traditional group.The success rate of surgical treatment was 89.89%in the see-and-treat group and 92.79%in the traditional group,but no statistical difference was seen between them(Chi-square=1.234,P=0.267).3D-TVUS examination displayed that the see-and-treat mode group obtained better improvement of endometrial morphology,uterine morphology and menstruation after operation than the traditional group(P<0.001).The postoperative pregnancy rate was slightly higher in the see-and-treat group than the traditional mode group(58.84%vs 58.17%,P=0.882).However,the see-and-treat mode showed obvious advantage in the postoperative natural pregnancy rate,with a rate of 90.80%,obviously higher than that in the traditional mode group(81.82%,P=0.026).The live birth rate was 70.55%in the see-and-treat mode group,excluding 1 case with ongoing pregnancy in the second trimester and 1 case with ongoing pregnancy in the third trimester,and the rate was 74.38%in the traditional group,excluding 3 cases with ongoing pregnancy in the third trimester,but there was no statistical difference between the 2 groups(P=0.303).In terms of obstetric-related complications,there were 0 cases of blood transfusion during delivery hospitalization in the see-and-treat group,while there were 7 cases in the traditional group(P=0.003).In neonatal outcomes,the rate of transfer to the pediatric department was 10.43%in the see-and-treat mode group and 22.22%in the traditional mode group(P=0.021).For health economics,the see-and-treat hysteroscopy group demonstrated a significant advantage over the traditional hysteroscopy group(P<0.001).There was no significant difference in pain scores between the 2 groups.Conclusion The see-and-treat approach is a safe,feasible,and highly efficient strategy for integrating the diagnosis and treatment of IUA,enabling maximal minimization of surgical trauma while optimizing time and cost efficiency.

Thoracolumbar trauma, including fractures, dislocations and spinal cord injuries, often result from high-energy injuries such as traffic accidents and falls from heights. It not only causes severe pain and restricted movement for patients, but also leads to neurological damage and even permanent disability. Currently, the diagnosis and treatment of thoracolumbar trauma are faced with many problems, such as possible missed diagnosis and misdiagnosis, lack of individualized and standardized treatment plans, and lack of objective and quantitative metrics for postoperative assessment. Artificial intelligence (AI) technology offers innovative ideas to these problems. Among them, the core AI technology such as machine learning (ML), deep learning (DL), computer vision, and robotics has demonstrated outstanding capabilities in medical image analysis, clinical decision support, etc., which can significantly improve the diagnostic precision, surgical planning efficiency, and postoperative management level of thoracolumbar trauma. At present, application of AI technology in cross-modal data integration, clinical decision support, and long-term efficacy prediction in the field of thoracolumbar trauma remains to be systematically sorted out. To this end, the authors reviewed the research progress of AI technology in the diagnosis, treatment, and postoperative management of thoracolumbar trauma, providing a reference for a wide application of AI technology in the management of thoracolumbar trauma.

Objective:To construct a scientific and objective evaluation system for the popular science ability of pharmacists in traditional chinese medicine hospitals,accurately assess the popular science ability of pharmacists,and provide quantitative evaluation standards and improvement directions for the popular science work of hospital pharmacy.Methods:Based on the actual popular science activities of pharmacists in the Pharmacy Department of Wuxi Hospital of Traditional Chinese Medicine from June 2023 to June 2024,relevant literatures on the evaluation index system of popular science ability in multiple fields were reviewed,to construct an evaluation index system of pharmacy popular science ability,which includes four secondary dimensions:talent team,platform construction,popular science works and popular science activities,and 16 tertiary indicators.By using entropy weight method,the original data was first subjected to range standardization processing to eliminate dimensional differences,and the information entropy of each index was calculated to determine the weights and reduce the subjective judgment deviation.By using TOPSIS method,to construct a weighted standardized matrix,determine the ideal solution and the negative ideal solution,calculate the euclidean distance and relative proximity of each pharmacist to the ideal solution,and achieve the quantitative ranking of the popular science ability of pharmacists.Results:The evaluation system for the popular science ability of pharmacists in traditional chinese medicine hospitals was successfully constructed.The evaluation results show that,the pharmacy popular science ability of the pharmacist group as a whole shows an upward trend,but the individual differences were obvious.Some pharmacists perform outstandingly in terms of the update frequency of popular science content,the click-through rate of their works,and the satisfaction of the audience,while others have deficiencies in the scientific accuracy of popular science content and the number of audiences.Potential improvement factors include hospitals attaching greater importance to popular science in pharmacy,optimizing the allocation of popular science resources,and strengthening the cultivation of personal abilities of pharmacists,etc.Conclusion:This evaluation system is of great value in assessing the popular science ability of pharmacists in traditional Chinese medicine hospitals.It can provide a scientific basis for the improvement of pharmacists' personal abilities,the allocation of popular science resources in hospitals,personnel training and strategy formulation.At the same time,it also provides a reference for the popular science work of pharmacists in other medical institutions.

Objective To design a digital intelligence-driven critical treatment platform to implement integrated treatment procedure inside and outside the hospital and intelligent whole-course managment from pre-hospital emergency care to discharge for critically ill patients.Methods The platform was designed with 5G,IoT,big data and aritificial intelligence techniques and developed with Java language,which adopted Oracle database-based data management and front-end and back-end separation mode,with the front end realized by Vue.js framework and the back end by microservice architecture.There were five functional modules for pre-hospital emergency care,multidisciplinary joint diagnosis and treatment,critical care,quality control management and post-discharge follow-up involved in the platform.Results The platform developed simplified the treatment procedure,enhanced the timeliness of emergency care,decreased the workload of nursing staffs and improved medical service efficiency and working efficiency effectively.Conclusion The platform increases first aid quality and treatment efficiency and provides critically ill patients with high-quality medical experience.[Chinese Medical Equipment Journal,2025,46(1):38-43]

Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.