Background The prevalence of hyperuricemia (HUA) among Chinese residents has been increasing annually, with occupational populations facing a higher risk of HUA due to shift work or obesity. Objective To investigate the impact of shift work and obesity on HUA among coal miners, and to provide scientific data for the prevention of HUA in this occupational group. Methods A cross-sectional study was conducted with 25619 workers from a coal mining group in 2023 as the study population, using a questionnaire survey and occupational health check-ups. Workers who were retired or on medical leave, as well as those who provided incomplete responses to the questionnaire or did not complete anthropometric measurements or blood tests, were excluded. A total of 23173 participants were included in the study. An unconditional logistic regression model was used to analyze the association between HUA and selected factors such as shift work status, years of shift work, daily shift work hours, body mass index (BMI), waist-to-height ratio (WHtR), and visceral adiposity index (VAI), as well as the interaction between obesity and shift work on HUA. Restricted cubic spline functions were used to analyze the dose-response relationship between years of shift work, daily shift work hours, and HUA. Results The average age of the included workers was (42.38 ± 9.82) years. A total of 6735 workers reported positive HUA, with a positive rate of 29.1%, and the prevalence was higher in men compared to women (31.8% vs. 13.9%). After adjusting for confounding factors, the restricted cubic spline model revealed a nonlinear dose-response relationship between years of shift work, daily shift work duration, and HUA: ① When the years of shift work exceeded 3.25 years, the risk of HUA in workers gradually increased with longer work duration. At 20 years of shift work, the risk increase showed a "saturation effect," meaning that the risk of HUA no longer increased with additional years of shift work. ② When daily shift work duration was below 10 h, the risk of HUA increased with the length of shift work, but after exceeding 10 h, the risk stabilized. After adjusting for confounding factors, the logistic regression model showed that, compared to non-shift workers, shift workers, those with 10-20 years and over 20 years of shift work experience, as well as those working less than 8 h and more than 8 h per day, had a higher risk of HUA, with odds ratios (OR) of 1.14 (95%CI: 1.06, 1.22), 2.42 (95%CI: 2.20, 2.67), 2.23 (95%CI: 2.00, 2.48), 1.41 (95%CI: 1.29, 1.54), and 1.90 (95%CI: 1.75, 2.06), respectively. Additionally, compared to individuals with normal obesity indices, those with overweight and obesity based on BMI, high and very high VAI and excessive WHtR had a higher risk of HUA, with ORs of 2.01 (95%CI: 1.85, 2.17), 3.51 (95%CI: 3.20, 3.84), 1.42 (95%CI: 1.32, 1.54), 2.10 (95%CI: 1.91, 2.30), and 1.82 (95%CI: 1.69, 1.97), respectively. The interaction analysis showed no interaction between shift work and obesity index (both P_s < 0.001). Conclusion Shift work, longer shift work years, and longer daily shift work hours increase the risk of HUA among coal miners. Additionally, the role of obesity in the development of HUA cannot be ignored.

Background In recent years, the detection rate of thyroid nodules in China's occupational population has shown an upward trend. The prevalence of this disease needs to be taken seriously and targeted measures should be taken to address its influencing factors. Objective To analyze the detection and influencing factors of thyroid nodules among adult male workers in coal mining enterprises in Shanxi Province, and provide a theoretical basis for the prevention of thyroid nodules. Methods A total of 5195 adult male workers from coal mining enterprises who ordered physical examination provided by the Xishan Coal Electricity (Group) Corporation Occupational Disease Prevention and Control Institute in Taiyuan City, Shanxi Province from May 2023 to December 2023 were selected as research subjects. A questionnaire survey, physical examination, ultrasound examination, and biological sample collection and testing were conducted. Thyroid nodules were diagnosed based on ultrasound results, classified and evaluated according to the Chinese-Thyroid Imaging Reporting and Data System (C-TIRADS), and the crude detection rate and standardized detection rate of thyroid nodules in adult male coal mine workers in Shanxi Province wereestimated. Occupational history and occupational exposure information were retrieved from their annual occupational health examination reports provided by the employer. Logistic regression modeling was used to analyze the influencing factors of thyroid nodule. Results A total of 1688 cases of thyroid nodules were detected, with a crude detection rate of 32.49% and an age-standardized detection rate of 31.17%. The cases (constitution ratio) of thyroid nodules by category in the detected cases was as follows: 358 cases (21.21%) were classified as category 2, 1261 cases (74.70%) as category 3, 67 cases (3.97%) as category 4a, and 2 cases (0.12%) as category 4b. The results of logistic regression showed that the duration of exposure to occupational hazards for 11-20 years, 21-30 years, ≥31 years, average monthly working>26 days, and shift work were positively correlated with the detection of thyroid nodules (P<0.05), and the associated ORs (95%CIs) were 1.29 (1.01, 1.65), 1.55 (1.20, 1.99), 1.68 (1.26, 2.55), 1.19 (1.00, 1.40), and 1.15 (1.02, 1.29), respectively. Conclusion The duration of exposure to occupational hazards, average monthly working days, and shift work are influencing factors of thyroid nodules. Intervention measures should be developed based on these influencing factors to prevent the occurrence of thyroid nodules.

AIM:This study is aimed to investigate the impact of 3,5,6,7,8,3',4'-heptamethoxyflavone(HMF)on the proliferation,invasion,and migration of human colorectal cancer(CRC)cell lines(SW480 and HCT116)and preliminarily explore the underlying molecular mechanisms.METHODS:Human colorectal cancer cells(SW480 and HCT116)cultured in vitro were subjected to various concentrations of HMF(0,12.5,25 and 50 μmol/L)for 48 h.Proliferation levels were assessed using the CCK-8 assay,invasion abilities were examined via the Transwell assay,migra-tion rates were measured using the scratch assay,and oxidative stress levels were determined by the DCF-DA reactive oxy-genation assay.The mRNA expression levels of heme oxygenase-1(HO-1)mRNA and NAD(P)H:quinone oxidoreduc-tase-1(NQO-1)were quantified using RT-qPCR.RESULTS:Treatment with varying concentrations of HMF resulted in a significant reduction in the proliferative capacity of SW480 and HCT116 cancer cells,as was indicated by CCK-8 experi-ments(P<0.05).Transwell assays demonstrated a pronounced attenuation in the invasive potential of SW480 and HCT116 following HMF treatment(P<0.05).Scratch assays highlighted a notable constraint on the migratory capabilities of SW480 and HCT116 after HMF treatment(P<0.05).DCF-DA staining revealed a substantial increase in reactive oxy-gen species(ROS)levels within SW480 and HCT116 cells after HMF treatment(P<0.05).Furthermore,RT-qPCR ex-periments elucidated that HMF markedly suppressed the mRNA expression of antioxidant genes HO-1 and NQO-1.CON-CLUSION:HMF induces oxidative stress response in SW480 and HCT116 cells,consequently inhibiting their prolifera-tion,invasion and migration.

Objective:This study aims to explore the survival advantages of different maintenance strategies for MCL.Methods:Clinical data of 693 newly diagnosed MCL patients in multi-centers admitted from April 1999 to December 2019 were collected. 309 cases received maintenance treatment. The characteristics of patients in different maintenance treatment groups were summarized and Kaplan-Meier survival and prognosis analysis were conducted.Results:The overall 3-year and 5-year progression-free survival (PFS) rates were (73.5±2.9) % and (53.6±4.3) %, respectively. The 3-year and 5-year overall survival (OS) rates were (94.2±1.5) % and (82.7±3.2) %, respectively. The clinical features of different maintenance treatment groups were generally consistent. The 3-year PFS rates of rituximab maintenance, lenalidomide maintenance, BTK inhibitor maintenance and dual-drug maintenance were (70.4±4.1) %, (69.1±7.6) %, (86.9±5.0) %, and (80.4±5.1) %, respectively. Corresponding 3-year OS rates were (92.9±2.4) %, (97.3±2.7) %, (97.9±2.1) %, and (95.3±2.7) %, respectively. There were no significant difference in different groups ( P=0.632, 0.313). Survival analysis identified the MCL International Prognostic Index (MIPI) high-risk group and achieving complete remission before maintenance treatment as independent risk factors for PFS. The MIPI high-risk group, high-dose cytarabine application, treatment lines, and early disease progression (POD24) emerged as independent risk factors for OS. Conclusion:Comparing the different maintenance strategies of MCL, the result showed that BTK inhibitors (BTKi) maintenance demonstrated preliminary advantages in survival. Meanwhile, high-risk group according to MIPI and incomplete remission before maintenance treatment were significant factors related to disease progression.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

Objective:To conduct periodic revalidation of the 15 items and 43 terms autoverification rules of blood analysis after 1 year of application, analyze the application suitability and make the rules improved.Methods:Track the results of 528 010 blood analysis samples of our hospital from August 1, 2019 to January 31, 2020, and analyze the pass rate and interception rate of autoverification; 600 specimens in total were selected randomly for microscope examination, including 300 specimens which touched autoverification rules (1 012 items of autoverification rules) and were intercepted by autoverification and 300 specimens which untouched autoverification rules and were released by autoverification. The abnormal characteristics and unacceptable Delta check of the specimens also need to be concerned at the same time.The false negative rate and false positive rate, true negative rate, true positive rate and pass correct rate of autoverification were verified and compared with the rate of the second phase verification when the autoverification rule was established. The false negative rate, false positive rate, true negative rate and true positive rate of the Delta check rule which 54 716 specimens touched were calculated and compared with the second phase verification rate when the autoverification rule was established.The results of microscopic examination were used as the gold standard for the calculation of the rates, and P<0.05 was considered as a significant difference. The false positive and true positive of 1 012 autoverification rules were analyzed item by item.The false positive and true positive of 108 specimens which touched blast cell autoverification rule were analyzed terms by terms. The mean TAT and median TAT of 528 010 specimens and 193 750 outpatient specimens were calculated respectively, and the report percentages of 528 010 samples that TAT<30, 30-60　and>60 min were calculated respectively. Analyze and evaluate the application suitability of autoverification rules to juge whether they meet the needs of doctors and laboratory. The design process and the rules and application process of autoverification were optimized and improved.Results:The autoverification pass rate was 63.06% (332 971/528 010), the interception rate was 36.94% (195 039/528 010). The false negative rate was 1.00% (1/600), the false positive rate was 12.67% (76/600), the true negative rate was 49% (294/600), the true positive rate was 37.33% (224/600), and the correct rate was 98% (294/300). The pass rate, true negative rate, true positive rate and correct rate of the periodic reverification group were higher than the second phase verification group, the false negative rate and false positive rate were lower than that the second phase verification group. The false negative rate and true positive rate of the Delta check of periodic verification group were lower than that the second phase verification group, the false positive rate and true negative rate were higher than the second phase verification group, there were significant differences in the comparition results. The mean TAT of 528 010 specimens was25 min, and the median TAT was 22 min. The mean TAT of 193 750 outpatient specimens was 23 min, and the median TAT was 20 min. The report percentages of 528 010 samples that TAT<30 min, 30 min-60 min and>60 min were 83.30% (439 819/528 010), 8.00% (42 250/528 010) and 8.70% (45 941/528 010), respectively.Conclusion:The results of periodic revalidation of autoverification after 1 years application show that the 15 items and 43 terms autoverification rules of blood analysis could meet requirements about the accuracy and efficiency of the laboratory, and have a good suitability for application.

Pharmacometabolomics has been already successfully used in toxicity prediction for one specific adverse effect. However in clinical practice, two or more different toxicities are always accompanied with each other, which puts forward new challenges for pharmacometabolomics. Gastrointestinal toxicity and myelosuppression are two major adverse effects induced by Irinotecan (CPT-11), and often show large individual differences. In the current study, a pharmacometabolomic study was performed to screen the exclusive biomarkers in predose serums which could predict late-onset diarrhea and myelosuppression of CPT-11 simultaneously. The severity and sensitivity differences in gastrointestinal toxicity and myelosuppression were judged by delayed-onset diarrhea symptoms, histopathology examination, relative cytokines and blood cell counts. Mass spectrometry-based non-targeted and targeted metabolomics were conducted in sequence to dissect metabolite signatures in predose serums. Eventually, two groups of metabolites were screened out as predictors for individual differences in late-onset diarrhea and myelosuppression using binary logistic regression, respectively. This result was compared with existing predictors and validated by another independent external validation set. Our study indicates the prediction of toxicity could be possible upon predose metabolic profile. Pharmacometabolomics can be a potentially useful tool for complicating toxicity prediction. Our findings also provide a new insight into CPT-11 precision medicine.

Objective To investigate the effects of video-assisted thoracoscopic surgery (VATS) teaching in clinical education of the five-year undergraduates.Methods 50 undergraduate clinical interns were divided randomly into the experimental group and control group.The experimental group was applied with traditional method combined with VATS,and the interns studied the radical operation of lung cancer under thoracoscopy,while the control group was applied with traditional method.After the course,all students accepted theory and clinical examination,and a questionnaire survey was conducted.SPSS 18.0 was used for statistical analysis,and t-test was adopted for theoretical and clinical examination results.Questionnaire survey was conducted by chi-square test.Results ①Theory test:compared with control group,the scores of case analysis [(38.92 ± 2.50) vs.(34.56 ± 3.10)] and total scores [(79.92 ± 4.04) vs.(74.64 ± 4.82)] were improved (P＜0.05).②Clinical test:compared with control group,the scores of experimental group [(82.86 ± 4.46) vs.(76.04± 4.78)] were improved (P＜0.05).③Questionnairesurvey:there was statistical difference between the two groups in promoting the interest in learning,improving the comprehension of knowledge and approving of the teaching method used (P＜0.05).Conclusion VATS teaching method has positive effect on clinical education of the five-year undergraduates,and it should be worthy of extending.

Objective: To investigate different Er:YAG laser power settings on the bonding properties of IPS e.max CAD ceramics. Methods : 96 IPS e.max CAD ceramics blocks (5 mm × 5 mm × 5 mm) were prepared and randomly divided into 8 groups (n = 12), the untreated blocks served as the control, while one of the experimental groups was treated with 4.5% HF for 20 seconds, six remaining test group (C、D、E、F、G、H) were treated with different Er: YAG laser power settings: 100 mJ、200 mJ、300 mJ、400 mJ、500 mJ and 600 mJ. Morphology of the ceramic surface was observed by atomic force microscopy and its shear bond strength (SBS) was tested. Results : Higher shear bond strength values were found in group C-H compared to group B, the highest is group F (24.12 ± 1.91) MPa. The difference was statistically significant. The atomic force microscope observation of the surface structure showed that the control group was smooth and flat, and the HF-like etching group formed a uniform needle-like convex structure. The laser group gradually formed a regularly arranged cylindrical convex structure, in which the surface of the G and H groups was damaged. Conclusion The Er: YAG laser power settings of 400 mJ can be used as an effective pretreatment method before bonding of IPS e.max CAD ceramic.

OBJECTIVE:To investigate off-label drug use of Ambroxol hydrochloride injection,and to provide reference for further evidence-based evaluation on rationality and standardized management of off-label drug use. METHODS:All medical orders for inpatients receiving Ambroxol hydrochloride injection were selected from 10 hospitals of Guangdong province during Apr. 2014 to Mar. 2015. Situation of drug use in different categories of departments was summarized,the incidence of off-label administation route and off-label dosage were analyzed;according to drug package inserts,prescription daily dose(PDD)and drug utilization in-dex(DUI)were calculated for each category of department,and the degree of off-label dosage was evaluated. RESULTS:A total of 761 821 person·day who used Ambroxol hydrochloride injection was included. Off-label drug use occurred in each category of departments,and the incidence of off-label drug use was 62.10%. The incidence of off-label administration route was 40.51%, mainly atomization inhalation;the incidence of it was the high-est in gynecology and obstetrics department(92.70%).The in-cidence of off-label dosage was 36.30%,and the incidence of it was the highest in cardiothoracic surgery department (85.36%). Departments whose PDDs were higher than the drug package inserts were cardiothoracic surgery department,ICU,surgical department,cardiovascular medicine department,emer-gency department,department of internal medicine and pediatrics department.CONCLUSIONS:Off-label drug use of Ambroxol hy-drochloride injection is common,and the effectiveness,safety and necessity remain controversial,which need to be proved by multi-center randomized controlled prospective trial.