Background The quality of occupational health technical services is directly linked to the protection of workers' health rights and the efficacy of occupational disease prevention and control. However, the industry still faces critical challenges: sporadic instances of institutional non-compliance and persistent irregularities in professional practice continue to undermine overall service performance. Objective To assess the current quality status of occupational health technical services in Zhejiang Province and propose countermeasures for quality improvement, providing a scientific basis for policy optimization and service delivery quality enhancement. Methods A total of 69 occupational health technical service institutions in Zhejiang Province that obtained formal accreditation as of April 30, 2024, were sampled, including 3 public institutions and 66 private institutions (comprising 3 formerly Class-A, 28 formerly Class-B, 11 formerly Class-C, and 24 newly certified institutions). Following the Technical Protocol for Quality Monitoring of Occupational Health Technical Service in Zhejiang Province and the Technical Protocol for Proficiency Testing of Occupational Health Detection in Zhejiang Province, a quality assessment task force comprising national and provincial experts was established. Evaluation was conducted across four dimensions: qualification maintenance and compliance, standardization of technical services, authenticity of technical services, and proficiency testing, utilizing a combination of document review, on-site inspections, and technical skill assessments. Results The occupational health technical service institutions in Zhejiang Province were predominantly private entities (82.5%), with significant disparities in overall service quality. The pass rates for qualification maintenance and compliance, technical service standardization, technical service authenticity, and the excellence rate for laboratory proficiency testing were 81.5%, 80.7%, 97.3%, and 90.4%, respectively. Regarding qualification maintenance, the pass rates for "environmental conditions" (49.8%, 56.7%) and "instrumentation and equipment" (58.2%、65.6%) were significantly lower for formerly Class-C and newly certified institutions compared to other categories. In terms of technical standardization, "standardized on-site inspections" recorded the lowest pass rate (67.4%), with newly certified institutions at only 48.0%. Regarding technical service authenticity, formerly Class-C institutions exhibited issues such as missing raw chromatograms for blank samples (85.7% pass rate). In laboratory proficiency testing, public and formerly Class-A institutions achieved 100% excellence rates, but the performance of formerly Class-C and newly certified institutions was comparatively weak; specifically, the failure rate for organic analysis in formerly Class-C institutions reached 20%; the failure rate for dust testing items in newly certified institutions was 10.3%. Conclusion The overall quality of occupational health technical services in Zhejiang Province still requires significant improvement, particularly in basic institutional conditions, the standardization of on-site inspections, and laboratory proficiency in organic and dust analysis. Formerly Class-C and newly certified institutions should be the primary focus of quality management efforts. Differentiated regulatory strategies are recommended, alongside strengthening interim and ex-post supervision to gradually enhance the quality of occupational health technical services across all institutions.

The aim of this updated guideline is to provide comprehensive recommendations for the management of gout in patients with common comorbidities, such as chronic kidney disease(CKD), cardiovascular disease(CVD), diabetes, osteoarthritis(OA), and gastrointestinal disorders. This guideline was developed by a multidisciplinary expert panel consisting of specialists in endocrinology, rheumatology, nephrology, cardiology, gastroenterology, and methodology. The development process adhered to standard methodologies, including PICO(population, intervention, comparator, and outcomes) question deconstruction, systematic literature review, the Grading of Recommendations Assessment, Development and Evaluation(GRADE) for evidence and recommendation evaluation, Delphi voting, and expert consensus. The guideline presents 26 evidence-based recommendations addressing 7 clinical questions for patients with hyperuricemia and gout in the context of comorbidities. Key recommendations include the maintenance of strict serum urate targets, particularly for patients with CKD stage≥3, chronic gouty arthritis, and OA, in order to prevent disease progression. In patients with CVD or diabetes, intra-articular triamcinolone is preferred over systemic glucocorticoids. Prioritized anti-inflammatory treatments for patients with CKD, gastrointestinal diseases and OA are recommended. The guideline also introduces emerging therapies, such as interleukin-1 inhibitors and selective urate transport inhibitors, as potential treatment options for refractory cases. The update offers a comprehensive, patient-centered approach to managing gout, particularly in individuals with associated comorbidities. Multidisciplinary collaboration and emerging new treatments and evidence ensure the optimization of the recommendations.

In recent years,the prevalence of porcine infectious pleuropneumonia caused by Actinoba-cillus pleuropneumoniae(APP)has significantly increased in large-scale pig farms in China.The i-solation,identification,and biological characteristic testing of newly prevalent strains have impor-tant clinical significance.This study isolated four suspected APP strains(named XB2T-56,JMTLP-443,YD-THB-755,SYZJ-291)from lung samples of pig farms suspected of outbreaks of porcine infectious pleuropneumonia in Hubei Province.They were identified by PCR amplification,and multiplex PCR serological typing,the biological properties were tested by detecting the growth a-bility,hemolytic activity and biofilm forming ability.The drug resistance of the strains was ana-lyzed by drug sensitivity testing,and the virulence of one strain(XB2T-56)in mice and piglets was evaluated.The PCR identification result showed that all four clinical isolates were APP serotype 15 strains.These four strains grew slower than serotype 1 standard strains,had weaker hemolytic activity,but could form stronger biofilms.These strains are all less sensitive to cephalosporin,tylo-sin,sulfamethoxazole,and doxycycline,but sensitive to cefotaxime and enrofloxacin.The mice and piglet infection experiments showed that the isolated strain XB2T-56 has strong virulence.Artifi-cial intranasal infection causes acute death in piglets,with typical symptoms of pleuropneumonia in the lungs,and serotype 15 strains can be isolated from the lesion site.This study indicates that the APP serotype 15 strain has strong virulence,providing new date for the clinical epidemiological characteristics of APP.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

Objective To develop and validate a nomogram model for predicting recurrence after radiofre-quency catheter ablation(RFCA)in patients with atrial fibrillation and heart failure using body surface electrocar-diogram indicators and clinical indicators.Methods We retrospectively analyzed 305 patients with atrial fibrilla-tion complicated with heart failure who underwent RFCA from January 2019 to January 2024.Patients were random-ized into training set(213 cases)and validation set(92 cases)at a ratio of 7:3 and followed up for at least 1 year.Based on the recurrence status,the patients were divided into recurrence group and non-recurrence group,with body surface electrocardiogram indicators and clinical indicators collected.Multivariate logistic regression analysis identified for risk factors for post RFCA recurrence,which were used to construct a nomogram.Model performance was assessed using the area under the receiver operating characteristic curve(AUC),Hosmer-Lemeshow test,calibration curves,and decision curve analysis(DCA).Results Among the 305 patients,84(27.54％)experi-enced recurrence after treatment.In the training set,61 patients had recurrence and 152 did not.No statistical differences were observed between the training set and the validation set(all P>0.05).In the training set,the recurrence group exhibited a higher proportion of persistent atrial fibrillation and significantly higher CHA2DS2-VASc scores,larger left atrial diameter,longer PR interval,and higher levels of NLR and NT-proBNP compared to the non-recurrence group(all P<0.05).Multivariate stepwise regression analysis revealed that high CHA2DS2-VASc score,long left atrial diameter,prolonged PR interval,and high NLR were independent risk factors of recurrence after RFCA(P<0.05)A four-factor prediction model was established as:Ln(P/1-P)=-12.87+0.84*CHA2DS2-VASc score+0.11* left atrial diameter+0.03*PR interval+0.31*NLR.The training and validation models showed AUCs of 0.85(95％CI:0.80～0.91)and 0.85(95％CI:0.76～0.94),respectively,suggesting that the model had good predictive efficiency.Hosmer-Lemeshow test results(χ2=2.43,P=0.965 for the training set;χ2=5.30,P=0.725 for the validation set)confirmed model fit,indicating that the fitted probability value was consistent with the actual probability value.Calibration curves after 1 000 times of Bootstrap repeated sampling showed the bias calibration curves of the training set and the validation set had good consistency with the actual curves,both close to the ideal curve.DCA revealed clinical utility across a wide threshold probability range(0.02～1.0 for the training set;0.04～1.0 for the validation set).Conclusion This nomogram,based on body surface electrocardiogram indicators and clinical indicators,effectively predicts post-RFCA recurrence in atrial fibrillation and heart failure patients,offering a useful tool for early assessment of recurrence risk.

Objective To evaluate the effectiveness and feasibility of a remote medication treatment management model for elderly patients with chronic disease at home based on mobile technology.Methods A convenient and elderly-friendly mo-bile application(hereinafter referred to as Yaoshiyi APP)was developed,and a remote medication treatment management team consisting of clinical pharmacists from tertiary hospitals,community pharmacists,and community physicians was formed.Patients from communities were selected for practical research,led by pharmacists.Based on the Yaoshiyi APP,patients were subjected to 6 months of medication treatment management practice,and the effectiveness and feasibility of the practice were evaluated.Re-sults The Yaoshiyi APP can be integrated with a variety of medical-grade wearable devices to realize the functions of automati-cally uploading monitoring data,abnormal value reminding,medication reminding,medication consultation,and medication sci-ence popularization.A total of 302 elderly patients with chronic disease at home completed the study.The results showed that phar-macists have identified and intervened in 695 cases of medication-related problems.According to the classification of medication-related problems,the top three were 247 cases(35.5％)of additional treatment,97 cases(14.0％)of unnecessary drug treat-ment,and 93 cases(13.4％)of medication compliance problems.The patient's medication adherence score(Morisky medication adherence scale-8,MMAS-8)increased from(5.85±1.57)at enrollment to(6.74±1.23)6 months after enrollment(P＜0.01).After 6 months of enrollment,the patient's satisfaction with the pharmacist's work reached a score of(4.99±0.08)out of 5.The average reduction in drug costs for patients caused by pharmacists intervening in irrational medication is(20.9±18.0)％.At the end of follow-up,93.4％of patients were proficient in using the Yaoshiyi APP.Conclusion The remote medication treatment management model for elderly patients with chronic disease at home based on mobile technology constructed in this study can ef-fectively improve patient compliance with disease monitoring and medication,ensure rational drug use,reduce medical resource waste,and receive high patient acceptance.

Objective:This study aims to systematically review the current evaluation paradigms of conversational AI in healthcare and provide insights to facilitate the development of a comprehensive evaluation framework and methodological advancements in this field.Methods:A systematic review was conducted by searching the PubMed and Web of Science databases to analyze the existing evaluation paradigms of healthcare conversational AI,including evaluation subjects,assessment metrics,and evaluation methodologies.Results:A total of 60 studies were included in this review.The findings indicate that most evaluation subjects focus on general-purpose large language models.The assessment metrics cover five key dimensions:technical performance,information quality,clinical effectiveness,user experience,and ethics and safety.However,there were significant differences in the evaluation criteria used in existing studies.There were also issues such as a low degree of alignment between the evaluation questions and the application scenarios,as well as a lack of diversity in the roles of the evaluators.Conclusions:The current evaluation framework for healthcare conversational AI remains underdeveloped.Future improvements should focus on broadening model coverage,enhancing the comprehensiveness of evaluation indicators,standardizing evaluation methods,improving the operationalizability of test content,and expanding the scalability of evaluation languages.

Objective:To investigate the predictive value of endothelial activation and stress index(EASIX)for the prognosis of patients with mantle cell lymphoma(MCL).Methods:A retrospective analysis was conducted to assess prognosis and compare the clinical features of patients diagnosed with MCL who were admitted to the Affiliated Hospital of Xuzhou Medical University from January 2010 to June 2023,had therapeutic indications and received standard treatment.Results:A total of 66 patients were included and divided into high EASIX group and low EASIX group,according to a cutoff value of 0.97 determined by the receiver operating characteristic(ROC)curve.Multivariate Cox regression analysis showed that prealbumin＜0.2 g/L,high EASIX,and ECOG PS score ≥2 were independent risk factors influencing overall survival(OS)in MCL patients.The median OS of patients in the high and low EASIX group was 13.0 and 37.5 months,and the median progression-free survival was 8.8 and 26.0 months,respectively.The proportions of patients with ECOG PS score ≥2 and prealbumin＜0.2 g/L at onset significantly increased in the high EASIX group compared to those in the low EASIX group.Conclusion:At the time of initial diagnosis,EASIX can serve as an independent prognostic indicator impacting OS in patients with MCL.Furthermore,patients in the high EASIX group experience a poorer prognosis and shorter survival duration compared with those in the low EASIX group.

Objective:To study the effects and mechanisms of juglone on the proliferation and apoptosis of acute myeloid leukemia(AML)cells.Methods:Juglone and AML targets were collected from public databases,and the intersecting target clusters were taken for functional enrichment analysis to explore the potential mechanism of juglone in the treatment of AML.Then wet experiments were performed to verify.AML cell lines including KG-1a,MV-411,THP-1 and MOLM-13 were treated with different concentrations of juglone for 24 h.MTT assay was used to detect cell viability and determine the IC50,and the most sensitive cell line was screened for subsequent experiments.Flow cytometry was used to detect the apoptosis of cells treated with different concentrations of juglone.Western blot was performed to check the expression of relevant proteins.Results:Eleven targets were obtained as potential targets for juglone in the treatment of AML,and the top ten significantly enriched pathways were intrinsic pathway of apoptosis,programmed cell death,cytochrome c-mediated apoptotic response,apoptosis,apoptotic factor-mediated response,regulated necrosis,cytokine signaling in immune system,signaling by interleukins,oncogene induced senescence,and signal transduction.The cell viability of KG-1a,MV-411,THP-1 and MOLM-13 was decreased with increasing juglone concentration after 24 h of juglone treatment(r=-0.992,-0.886,-0.956,-0.910).Among them,MOLM-13 was the most sensitive to juglone.The results of flow cytometry showed that the apoptosis rate of MOLM-13 tended to significantly increase with the increasing concentration of juglone(r=0.99).At the same time point,p-RIPK1/RIPK1,p-RIPK3/RIPK3,and p-MLKL/MLK were decreased in each juglone concentration group compared with control group.Conclusion:Juglone inhibits the viability of KG-1a,MV-411,THP-1 and MOLM-13 cells,and induces apoptosis of MOLM-13 cells,the mechanism of which may be related to the inhibition of RIPK1/RIPK3/MLKL signaling pathway.

Objective:This article introduces a novel technique for totally laparoscopic, right thoracic approach, esophagojejunostomy for digestive tract reconstruction.Methods:A retrospective analysis was conducted on the clinical data of patients with adenocarcinoma of the esophagogastric junction who successfully underwent totally laparoscopic esophagojejunostomy via the right thoracic approach at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, between February 2022 and March 2022.The surgical procedure was performed as follows:(1)Following total laparoscopic resection of the gastric tumor and lymph node dissection, the specimen was transected distal to the tumor margin. The specimen was then placed into a retrieval bag and extracted through the umbilical observation port.(2)Dissection was continued through the esophageal hiatus to mobilize the esophagus. The tumor-bearing tissue, along with the esophagus, was delivered into the thoracic cavity via the esophageal hiatus.(3)The jejunum was transected 20 cm distal to the ligament of Treitz. The distal Jejunum was mobilized for 15-20 cm and subsequently delivered into the thoracic cavity through the esophageal hiatus.(4)A Roux-en-Y jejunojejunostomy was constructed 45-50 cm distal to the cut end of the distal jejunal limb; the mesenteric defect was closed, and the duodenal stump was reinforced.(5)The patient was repositioned into the left lateral decubitus position. Port placement was established as follows: the observation port at the 7th intercostal space (ICS) in the right midaxillary line, the main operating port at the 4th ICS in the anterior axillary line, and the assistant operating port at the 9th ICS in the scapular line.(6)The main operating port incision was enlarged. Using a purse-string instrument, the esophagus was clamped and transected at least 5 cm proximal to the upper tumor margin, and the specimen was removed. (7)The distal jejunum was delivered into the thoracic cavity via the esophageal hiatus. Under total laparoscopic visualization, esophagojejunostomy was completed.Results:Both patients who underwent totally laparoscopic esophagojejunostomy via the right thoracic cavity successfully completed the procedure without conversion to laparotomy, unplanned reoperation, or any intraoperative/postoperative complications. The patients recovered well postoperatively, with no evidence of abdominal or thoracic hemorrhage. Postoperative computed tomography (CT) scans of the chest and abdomen confirmed the absence of anastomotic leakage or other related complications.Conclusions:The esophagojejunostomy was performed totally laparoscopically via the right thoracic cavity. This approach overcomes the drawback of significant trauma associated with open surgery while ensuring safe esophageal resection margins and thorough lymph node dissection. This technique offers advantages including minimal invasiveness, accelerated postoperative recovery, and a reduced incidence of reflux esophagitis. To our knowledge, no similar method of digestive tract reconstruction has been reported in the literature. Its novelty and clinical potential may offer new therapeutic options for patients with Siewert type II adenocarcinoma of the esophagogastric junction (AEG).