This article presents a case study of a patient who visited the Geriatric Department of Peking Union Medical College Hospital due to "palpitations, shortness of breath for more than 2 years, limb weakness for 6 months, edema, and nocturnal dyspnea for 2 months". The patient exhibited decreased muscle strength in the limbs and involvement of swallowing and respiratory muscles, alongside complications of heart failure and various arrhythmias which were predominantly atrial. Laboratory tests revealed the presence of multiple autoantibodies and notably anti-mitochondrial antibodies. Following a comprehensive multidisciplinary evaluation, the patient was diagnosed with anti-mitochondrial antibody-associated inflammatory myopathy. Treatment involved a combination of glucocorticoids and immunosuppressants, along with resistance exercises for muscle strength and rehabilitation training for lung function, resulting in significant improvement of clinical symptoms. The case underscores the importance of collaborative multidisciplinary approaches in diagnosing and treating rare diseases in elderly patients, where careful consideration of clinical manifestations and subtle abnormal clinical data can lead to effective interventions.

Objective To analyze a case of violations by an occupational medical examination (OME) institution and to explore the key control points for the supervision and management of OME institutions, as well as the core role of quality assessment in this context. Methods An OME institution suspected of illegal activities was used as the study subject. Retrospective analysis was conducted. Clues of suspected violations were identified by an on-site quality assessment. After investigation and verification by the local health authorities, legal action was taken against the institution for its violations. Results During an on-site quality assessment, the Guangdong Province OME quality control expert group discovered that the OME institution violated regulations, including unqualified personnel file, exceeding the scope of services category, issuing false reports, failing to report suspected occupational diseases on time, and failing to notify workers about suspected occupational diseases as required. The evidence was then submitted to the Guangdong Province OME Quality Control Center, which subsequently forwarded the case to local health administration department for filing and investigation. After the investigation, penalties were imposed on the OME institution for its illegal activities. Conclusion The key supervision and inspection points in the quality assessment of OME institutions include personnel file configuration, the quality control management system and its implementation, the quality of OME reports, and information reporting. Quality assessment plays a pivotal role in ensuring the legal and compliant practice of OME institutions, safeguarding the health rights and interests of workers, and enhancing the overall standard of the OME industry.

ObjectiveTo explore the mechanism by which Zuoguiwan improves the pancreas development in the gestational diabetes mellitus （GDM） model by observing the effects of Zuoguiwan on the expression of key regulatory factors in different stages of pancreas development. MethodsPregnant Wistar rats were randomly assigned into blank， model， insulin detemir （20 U·kg^-1） and Zuoguiwan （1.89 g·kg^-1） groups （n=18）. GDM was induced by peritoneal injection of streptozotocin on day 6.5 （E6.5d） in the embryonic stage， and the blank group was given an equal volume of sodium citrate buffer. The modeling performance was assessed by measuring the blood glucose of pregnant rats. Except the blank group and model group， pregnant rats in other groups were administrated with corresponding drugs from E9.5d to delivery. The random blood glucose of pregnant rats was monitored， and the embryos and offspring rats were measured for the length and weighed on E12.5d， E18.5d and day 21 after birth （B21d）. The Lee's index of rats on B21d was calculated. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the fasting insulin （FINS） levels of B22d rats and the Homeostasis Model Assessment for Insulin Resistance （HOMA-IR） was calculated. The serum levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， total bilirubin （TBIL）， total cholesterol （CHO）， triglyceride （TG）， high-density lipoprotein cholesterol （HDL）， and low-density lipoprotein cholesterol （LDL） in E18.5d pregnant rats and B22d offspring were determined. The pathological changes in the pancreas of E12.5d， E18.5d and B22d rats were observed by hematoxylin-eosin （HE） staining. Western blot was used to determine the protein levels of pancreatic duodenal homeobox 1 （Pdx1）， pancreas-specific transcription factor 1a （Ptf1a）， and sex-determining region Y-box protein 9 （Sox9） in the pancreas of E12.5d embryos， Pdx1， Nkx2 homeobox 2 （Nkx2.2）， and hairy and enhancer of split-1 （Hes1） in the pancreas of E18.5d embryos， and Pdx1， v-maf musculoaponeurotic fibrosarcoma oncogene homolog A （Mafa）， and NK transcription factor-related homeobox gene family 6 locus 1 （Nkx6.1） in the pancreas of B22d rats. ResultsCompared with the blank group， the model group showed elevated blood glucose levels in pregnant rats on B0d， E9.5d， E12.5d， E15.5d， and E18.5d （P<0.05， P<0.01）， decreased body weight and body length （P<0.01） and increased Lee's index in the offspring. In addition， the B22d offspring showed rising levels of FBG， FINS， HOMA-IR， AST， and TG （P<0.01）， a declined level of HDL （P<0.01）， and pancreatic acinous cells with edema and loose arrangement. The pregnant rats on E18.5d exhibited raised levels of ALT， AST， and TG （P<0.05， P<0.01） in the pancreas and a declined level of HDL （P<0.05）. The E12.5d embryos showed up-regulated protein levels of Pdx1， Sox9， and Ptf1a in the pancreas （P<0.01） and the E18.5d embryos exhibited down-regulated protein levels of Pdx1， Nkx2.2， and Hes1 in the pancreas （P<0.01）. The protein levels of Pdx1， Nkx6.1， and Mafa in the pancreas of B22d offspring were down-regulated （P<0.01）. Compared with the model group， the insulin group exhibited lowered blood glucose in pregnant rats on B0d， E15.5d， and E18.5d （P<0.05， P<0.01）. The offspring in all treatment groups showcased increased body weight and body length （P<0.01） and decreased Lee's index. The B22d offspring exhibited declined levels of FBG， FINS， and HOMA-IR in the insulin group （P<0.01） and lowered levels of FBG and HOMA-IR in the Zuoguiwan group （P<0.01）. The B22d offspring in all the treatment groups showed reduced levels of ALT， AST， TBIL， CHO， TG， and LDL， a raised level of HDL， and alleviated edema of pancreatic acinous cells. The pregnant rats on E18.5d demonstrated declined levels of TG and ALT （P<0.05， P<0.01） and an elevated level of HDL （P<0.05）. The pancreas of E12.5d embryos presented down-regulated protein levels of Pdx1 and Sox9 and an up-regulated protein level of Ptf1a in the insulin group （P<0.05）. The pancreas of E12.5d embryos in the Zuoguiwan group presented down-regulated protein levels of Pdx1， Sox9， and Ptf1a （P<0.01）. All the treatment groups showed up-regulated protein levels of Pdx1， Nkx2.2， and Hes1 in the pancreas of E18.5d embryos （P<0.01） and Pdx1， Nkx6.1， and Mafa in the pancreas of B22d embryos （P<0.05， P<0.01）. ConclusionZuoguiwan can promote the growth and development and ameliorate the pathological changes in the pancreas of the offspring of GDM model by regulating the expression of Pdx1 pathway-related regulatory factors in different stages of pancreas development.

OBJECTIVE: To quantitatively evaluate the accuracy of data obtained from liquid-interference surfaces using an intraoral 3D scanner (IOS) integrated with a compressed airflow system, so as to provide clinical proof of accuracy for the application of the compressed airflow system-based scanning head in improving data quality on liquid-interference surfaces. METHODS: The study selected a standard model as the scanning object, adhering to the "YY/T 1818-2022 Dental Science Intraoral Digital Impression Scanner" guidelines, a standard that defined parameters for intraoral scanning. To establish a baseline for accuracy, the ATOS Q 12M scanner, known for its high precision, was used to generate true reference values. These true values served as the benchmark for evaluating the IOS performance. Building on the design of an existing scanner, a new scanning head was developed to integrate with a compressed airflow system. This new design aimed to help the IOS capture high-precision data on surfaces where liquid-interference, such as saliva, might otherwise degrade scanning accuracy. The traditional scanning method, without airflow assistance, was employed as a control group for comparison. The study included five groups in total, one control group and four experimental groups, to investigate the effects of scanning lens obstruction, airflow presence, liquid media, and the use of the new scanning head on scanning process and accuracy. Each group underwent 15 scans, generating ample data for a robust statistical comparison. By evaluating trueness and precision in each group, the study assessed the impact of the compressed airflow system on the accuracy of IOS data collected from liquid-interference surfaces. Additionally, we selected Elite and Primescan scanners as references for numerical accuracy values. RESULTS: The scanning accuracy on liquid-interference surfaces was significantly reduced in terms of both trueness and precision [Trueness: 18.5 (6.5) vs. 38.0 (6.7), P < 0.05; Precision: 19.1 (8.5) vs. 31.7 (15.0), P < 0.05]. The use of the new scanning head assisted by the compressed airflow system significantly improved the scanning accuracy [Trueness: 22.3(7.6) vs. 38.0 (6.7), P < 0.05; Precision: 25.8 (9.6) vs. 31.7 (15.0), P < 0.05]. CONCLUSION The scanning head based on the compressed airflow system can assist in improving the accuracy of data obtained from liquid-interference surfaces by the IOS.
Imaging, Three-Dimensional/methods* ; Humans ; Dental Impression Technique/instrumentation*

Objective To investigate the relationship between upper limb joint angles and muscle fatigue in overhead tasks and develop a muscle fatigue prediction model based on residual neural networks(ResNet).Methods Through the simulation of drilling experiments performed with different working postures and on different operating surfaces,the maximum voluntary contraction,maximum endurance time,maximum residual muscle force,and subjective fatigue ratings were measured.The collected data were processed and used as input for the ResNet prediction model,which was constructed to predict muscle fatigue levels.Results The ResNet model exhibited outstanding predictive accuracy,with a root mean square error(RMSE)of 0.028.Compared with traditional backpropagation neural networks(RMSE=0.053)and multilayer perceptron neural networks(RMSE=0.059),they displayed smaller errors and better fitting.Conclusions The proposed residual neural network muscle fatigue prediction model can effectively and accurately predict muscle fatigue,providing strong support for improving work efficiency and reducing the risk of work-related musculoskeletal disorders.

Objective:To construct a new thrombus risk assessment model and evaluate its predictive ability for venous thromboembolism(VTE)in the patients with malignant tumors,and to provide the basis for the early predition of the malignant tumor patients with high risk for VTE.Methods:A total of 128 untreated malignant tumor patients were included,of which 40 were diagnosed with VTE within 2 months of malignant tumor diagnosis and categorized as VTE group.A total of 88 patients who did not develop VTE were categorized as non-VTE group.The clinical risk factors and laboratory indicators of the patients in two groups were compared and analyzed;the types of thrombotic events of the patients were analyzed;the diagnostic values of thrombin-antithrombin-complex(TAT),α2-plasmin inhibitor-plasmin complex(PIC),D-dimer(D-dimer),and fibrin degradation products(FDP)in malignant tumors complicated by VTE were assessed using receiver operating characteristic(ROC)curve analysis;Multivariate Logistic regression analysis was used to analyze the correlations of the clinical risk factors and biomarkers with the malignant tumors complicated with VTE.A new thrombus risk assessment model was constructed,consisting of TAT≥0.70 μg·L-1,poor differentiation,and cardiovascular risk factors.The predictive probability of the model for malignant tumors complicated by VTE was evaluated based on the significance,goodness of fit,calibration curve,and C value of the model.The clinical application value of the new thrombus risk assessment model,COMPASS-CAT risk score(CRS),and Khorana risk score(KRS)in assessing malignant tumor patients complicated by VTE was compared using the C value and decision curve analysis(DCA).Results:The plasma levels of TAT(P＜0.001),PIC(P＜0.001),D-dimer(P＜0.05),and FDP(P＜0.01)of the patients in VTE group were higher than those in non-VTE group.Compared with the patients without cardiovascular risk factors,poor differentiation,and lymphatic metastasis,the malignant tumor patients with cardiovascular risk factors(P＜0.001),poor differentiation(P＜0.001),and lymphatic metastasis(P＜0.05)were more likely to develop VTE.Most VTE events(65％)were isolated deep vein thromboembolism(DVT).The ROC curve analysis showed that the area under the curve(AUC),sensitivity,and specificity of TAT and PIC were higher than those of D-dimer and FDP.TAT≥0.70 μg·L-1(P＜0.05),poor differentiation(P＜0.01),and cardiovascular risk factors(P＜0.01)were the independent risk factors for VTE in the malignant tumor patients.A new thrombus risk assessment model consisting of TAT≥0.70 μg·L-1,poor differentiation,and cardiovascular risk factors was constructed.The new risk assessment model had a high goodness of fit(P=0.805)and good predictive ability during internal validation(x2=75.266,P＜0.001).The ROC curve analysis results showed that the C values for the new thrombus risk prediction model,CRS,and KRS were 0.908,0.676,and 0.541,respectively.The DCA curve analysis results showed that the new thrombus risk assessment model had a higher net benefit rate compared with CRS and KRS.Conclusion:TAT and PIC have greater diagnostic efficiency than D-dimer in the early prediction of the malignant tumor patients with high-risk VTE.For the patients included in this study,the new thrombus risk assessment model,constructed from TAT≥0.70 μg·L-1,poor differentiation,and cardiovascular risk factors,has superior diagnostic efficiency and clinical predictive value compared with CRS and KRS.

Ultrasound-stimulated microbubble cavitation(USMC)is a cavitation phenomenon triggered by oscillating microbubbles in ultrasound field,and this effect has led to breakthroughs in improving the permeability of cell membranes,enhancing the sensitivity of tumor cells to chemotherapy or immunotherapy,and increasing the penetration of thrombolytic drugs into blood clots and vascular recanalization.In recent years,the cross-fertilization of ultrasound medicine and materials science have given rise to the study of ultrasound-responsive multifunctional nanobubble to enhance USMC treatment.This article reviews the application and research progress of USMC in improving tissue perfusion in ischemic diseases,tumor chemotherapy and immunotherapy,ultrasonic thrombolysis,and other treatments.

AIM: To investigate the efficacy and safety of ZKY001 eye drops with different concentrations in the treatment of corneal epithelial defects(CED)after primary pterygium excision.METHODS: This was a multicenter, randomized, double-blinded, placebo-controlled phase II clinical trial. From March 15, 2022 to November 14, 2022, patients with primary pterygium who had undergone surgery were recruited from 12 tertiary hospitals across China. Using block randomization, 178 patients(178 eyes)were randomly assigned to 3 groups in a 1:1:1 ratio: 0.002% ZKY001 group(n=59), 0.004% ZKY001 group(n=59), and placebo group(n=60, receiving ZKY001 sham eye drops). Subjects in each group received 1 drop of the study drug 4 times per day for 4 d. The percentage of CED area recovery from baseline, the first complete healing time of CED area, the number of first complete healing cases of CED, and changes in visual analogue scale(VAS)scores for eye discomfort including eye pain, foreign body sensation, tearing and photophobia were observed.RESULTS: In terms of improvement in CED, there were no statistically significant differences among the three groups including the first healing time of CED, the percentage improvement in CED area compared to baseline, and the percentage of first healing cases at different follow-up visits(all P>0.05). Numerically, the first healing time of CED was shorter in the test groups compared to the placebo group(67.87±21.688 h for the 0.002% ZKY001 group, 61.48±22.091 h for the 0.004% ZKY001 group, and 68.85±20.851 h for the placebo group). On D1 morning, the percentage improvement in CED area compared to baseline was maximally different from the placebo group, and the numerical difference advantage was maintained at subsequent follow-up visits. The number of first healing cases in the CED area at different follow-up visits was higher in the test groups than the placebo group. In terms of improvement in ocular discomfort, the total VAS scores were lower in the test groups compared to the placebo group, mainly due to reductions in foreign body sensation and pain scores. At D3, the 0.004% ZKY001 group showed statistically significant improvement in foreign body sensation(P<0.017). In terms of safety, the overall incidence of adverse events was low(9.0%)and similar among groups.CONCLUSION: The use of ZKY001 eyedrops after primary pterygium surgery can safely improve the CED repair, and alleviate postoperative symptoms caused by CED.

Background The high-quality development of manufacturing in China has spurred industrial transformation and upgrading, placing higher demands on the skills of employees in the electronic manufacturing industry. This situation may induce psychological health problems such as job burnout and depressive symptoms in the employees, and also lead to insomnia, which has become a public health problem that urgently needs attention and solution. Objective To investigate the relationship between job burnout, depressive symptoms, and insomnia among employees in the electronic manufacturing industry. Methods A total of 3034 employees from four electronic manufacturing companies in Beijing City, Shanghai City, and Guangdong Province were selected using judgment sampling from September to November 2019. The Maslach Burnout Inventory-General Survey, Patient Health Questionnaire-9, and Self-Administered Sleep Questionnaire were used to collect data. The correlation between job burnout, depressive symptoms, and insomnia was evaluated by hierarchical regression. Results A total of 3034 survey questionnaires were distributed, and 2614 valid questionnaires were collected, with a response effectiveness rate of 86.2%. The reporting rates of job burnout, depressive symptoms, and insomnia among employees in the electronic manufacturing industry were 47.2%, 19.5%, and 29.1%, respectively. The reporting rates of insomnia of employees in the job burnout group and depressive symptoms group were higher than those in the non-job burnout group and non-depressive symptoms group (35.3% vs. 23.6%, 47.2% vs. 24.7%, P＜0.001). The results of hierarchical regression showed that job burnout explained 2.8% of the variation of insomnia (P<0.001), and the inclusion of depressive symptoms explained 1.2% of the variation of insomnia (P<0.001). Conclusion Job burnout and depressive symptoms could both affect insomnia of employees in the electronic manufacturing industry.