Background Workers in printing jobs are exposed to a variety of organic solvents at low levels for a long period of time. Previous studies have focused on the main components in Material Safety Data Sheet or high-risk occupational hazardous agents, but have not been able to comprehensively and accurately identify the volatile organic compounds (VOCs) in printing jobs. Objective To qualitatively analyze the VOCs in ink, detergent, varnish, fountain solution, and other raw and auxiliary materials by headspace gas chromatography-mass spectrometry, and to accurately identify the occupational hazardous agents in printing jobs. Methods Raw and auxiliary materials used in printing jobs in 6 printing enterprises in Shanghai were sampled by headspace sampling, analyzed by gas chromatography-mass spectrometry, identified by National Institute of Standards & Technology ( NIST) Standard Library and retention time, and quantified by peak area percentage. Results A total of 181 VOCs were reported in the headspace of 25 organic solvent samples, with a total detection frequency of 337 items and 13.2±12.3 VOCs per sample. The most frequently detected VOCs category was naphthene, with a total of 69 items detected (22.5%), dominated by cyclohexane. The characteristics of VOCs components in the headspace of different types of samples were different. The largest number of VOCs was detected in the headspace of detergent samples, with an average of 31.5 VOCs detected. The characteristic components in detergent were aromatic hydrocarbons and ester compounds; alcohols were the characteristic components in varnish; and ester compounds were the characteristic components in ink. The results of cluster analysis showed that ethanol, toluene, ethyl acetate, cyclohexane, and acetone were occupational hazardous agents with high levels of exposure in printing jobs. Conclusion Many kinds of organic solvents used in printing process are difficult to identify by traditional methods. Headspace gas chromatography-mass spectrometry can help to accurately identify VOCs in the workplace, so as to more accurately assess the occupational hazards, and to provide a technical basis for guiding occupational health monitoring and implementing corresponding occupational health risk management and control.

Objective To analyze the accuracy of the new generation intraocular lens(IOL)formula and the Wang-Koch(WK)adjustment in individuals with severe myopia undergoing combined anterior-posterior surgery.Methods A total of 100 patients(100 eyes)with axial length(AL)＞26 mm undergoing combined anterior and posterior segment surgery in our department from June 2015 to June 2021 were enrolled in this study.Totally 13 IOL calculation formulas,such as Barrett Universal Ⅱ(BU Ⅱ),Emmetropia Verifying Optical(EVO),Kane,Haigis,Hoffer Q,Holladay,and SRK/T as well as the first generation linear WK eye axis optimization formula(Haigis-WK1,SRK/T-WK1,Hoffer Q-WK1,Holladay 1-WK1)and the second generation linear WK eye axis optimization formula(SRK/T-WK2,Holladay 1-WK2),were utilized to determine IOL diopter.The mean prediction error(ME),mean absolute error(MAE),median absolute error(MedAE),and percentage of prediction error within different refractive thresholds were calculated to assess the accuracy of each formula.In order to investigate the impact of AL on accuracy of IOL calculation,the patients were categorized into group A(38 eyes,26.00 mm＜AL≤28.00 mm),group B(28 eyes,28.00 mm＜AL≤30.00 mm),and group C(34 eyes,AL＞30.00 mm).Additionally,the patients were also divided into silicone oil(63 eyes)and non-silicone oil(37 eyes)groups based on preoperative intraocular filling to determine the effect of intraocular filling on IOL calculation.Results The MedAE values of the new-generation IOL formulas(BU Ⅱ,EVO,and Kane)were significantly lower(0.34D,0.31D,0.35D)than those of traditional formulas(P＜0.05).Additionally,the percentage of prediction errors within±0.25 D,±0.50 D,±0.75 D,and±1.00 D were significantly higher with the new formulas when compared to traditional ones(P＜0.05).Traditional formulas exhibited a hyperopic deviation(0.35D～0.65 D),which could be corrected using the WK eye axis adjustment.WK2 was effective in improving the accuracy of calculation in SRK/T and Holladay 1 formulas,and there was no statistical difference in the MedAE values of SRK/T-WK2 and Holladay 1-WK2 formulas with the new-generation IOL formulas.When comparing the formulas across different axial eye length groups in terms of MedAE,the new IOL formulas(BU Ⅱ,kane and EVO)and WK-corrected formulas(Haigis-WK1,SRK/T-WK 1,SRK/T-WK2,Hoffer Q-WK1,Holladay 1-WK1,Holladay 1-WK2)showed no significant differences among the different AL groups.However,there were significant differences in the MedAE values of traditional formulas among the different AL groups(P＜0.01),with group C displaying the largest MedAE values(Haigis:0.84D,SRK/T:1.10D,Hoffer Q:1.23D,Holladay 1:1.20D).Comparing the MedAE values of different formulas in various preoperative intraocular filling groups,it was observed that the MedAE values of the new-generation IOL formulas(BU Ⅱ,kane and EVO),Haigis,and SRK/T formulas were significantly higher in the silicone oil-filled eye group than the non-silicone oil-filled eye group(P＜0.05).Conclusion In patients with high myopia undergoing combined anterior and posterior segment surgery,the precision and consistency of the new-generation IOL formulas and the second-generation linear WK axis correction formula exhibit significant improvements when compared to traditional formulas.

Objective To design a wearable cardiopulmonary monitoring system and validate its performance through preliminary human trials.Methods The wearable cardiopulmonary monitoring system was composed of a data collector,a wearing vest and an information management platform.The data collector used an EFM32GG330 SCM as the main microcon-troller unit(MCU),which included a respiratory modulation module,an ECG modulation module,a body position modulation module,a wireless communication module(involving in a Bluetooth module and a Wi-Fi module),a storage module and a power management module.The wearable vest had a cardigan-type structure,and was equipped with ECG sensors and respiratory motion sensors at its inner side.The information management platform was developed with Client/Server(C/S)architecture and Java/JavaScript.The system developed was compared with Mindray's IPM10 Patient Monitor routinely used in hospitals through preliminary human trials to verify its effectiveness in monitoring human heart rate and respiratory rate.Results The system developed could continuously monitor the human heart rate and respiratory rate for a long time,and the monitoring results had high consistency with those of Mindray's IPM10 Patient Monitor.Conclusion The system can be used for medical monitoring of cardiopulmonary indicators during training or exercise,providing accurate physiological information for health management.[Chinese Medical Equipment Journal,2024,45(4):51-55]

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

Background/Aims: Low educational attainment is a well-established risk factor for nonalcoholic fatty liver disease (NAFLD) in developed areas. However, the association between educational attainment and the risk of NAFLD is less clear in China. Methods: A cross-sectional study including over 200,000 Chinese adults across mainland China was conducted. Information on education level and lifestyle factors were obtained through standard questionnaires, while NAFLD and advanced fibrosis were diagnosed using validated formulas. Outcomes included the risk of NAFLD in the general population and high probability of fibrosis among patients with NAFLD. Logistic regression analysis was employed to estimate the risk of NAFLD and fibrosis across education levels. A causal mediation model was used to explore the potential mediators. Results: Comparing with those receiving primary school education, the multi-adjusted odds ratios (95% confidence intervals) for NAFLD were 1.28 (1.16 to 1.41) for men and 0.94 (0.89 to 0.99) for women with college education after accounting for body mass index. When considering waist circumference, the odds ratios (95% CIs) were 0.94 (0.86 to 1.04) for men and 0.88 (0.80 to 0.97) for women, respectively. The proportions mediated by general and central obesity were 51.00% and 68.04% for men, while for women the proportions were 48.58% and 32.58%, respectively. Furthermore, NAFLD patients with lower educational attainment showed an incremental increased risk of advanced fibrosis in both genders. Conclusions In China, a low education level was associated with a higher risk of prevalent NAFLD in women, as well as high probability of fibrosis in both genders.

Breast cancer has become the most prevalent malignant tumor among women, putting the health of women at serious risk. Screening for lead compounds in the active ingredients of plant that are effective and less toxic continues to be an important strategy for treating breast cancer. Gerbeloid J, a coumarin isolated from Gerbera piloselloides (L.) Cass., showed significant anti-cancer activity. But there is no report on the effect and mechanism of gerbeloid J on cycle and apoptosis of breast cancer. By using the CCK-8, clone formation, and PI staining assays, the effects of gerbeloid J on the proliferation of MCF-7 and MDA-MB-231 cells were assessed in this study. The effects of gerbeloid J on the apoptosis and mitochondrial function of MCF-7 and MDA-MB-231 cells were assessed using DAPI, Annexin V/TO-PRO-3, Rhod-2 AM, TMRM, DCFDA staining assays, and Western blot. The results demonstrated that gerbeloid J regulated the P21/CDC25C/CDK-1/cyclin B1 pathway and arrested the cell cycle at G2/M phase to suppressed the proliferation of MCF-7 and MDA-MB-231 cells. Additionally, gerbeloid J induced apoptosis through the stimulation of mitochondrial calcium excess, reduction of mitochondrial membrane potential, and promotion of ROS generation, and its mechanism was related to the activation of mitochondrial apoptotic pathway. In conclusion, by regulating the P21/CDC25C/CDK-1/cyclin B1 pathway and activating the mitochondrial apoptosis pathway, gerbeloid J could cause breast cancer cell cycle arrest and apoptosis, which might offer a promising candidate for the creation of new drugs against breast cancer.

OBJECTIVES: To evaluate the clinical effectiveness of integrated management during the perinatal period for fetuses diagnosed with total anomalous pulmonary venous connection (TAPVC) by prenatal echocardiography. METHODS: Clinical data of 64 cases of TAPVC fetuses diagnosed by prenatal echocardiography and managed with integrated perinatal care in Qingdao Women and Children's Hospital from January 2017 to December 2021 were retrospectively analyzed. Integrated perinatal care included multidisciplinary collaboration among obstetrics, fetal medicine, ultrasound, pediatric cardiology, pediatric anesthesia, and neonatology. RESULTS: Among the 64 TAPVC fetuses, there were 29 cases of supracardiac type, 27 cases of intracardiac type, 2 cases of infracardiac type, and 6 cases of mixed type. Chromosomal analysis was performed in 42 cases, and no obvious abnormalities were found. Among the 64 TAPVC fetuses, 37 were induced labor, and 27 were followed up until term birth. Among the 27 TAPVC cases, 2 cases accepted palliative care, 2 cases were referred to another hospital for treatment and lost to follow-up, while the remaining 23 cases underwent primary repair surgery. One case died within 6 months after the operation due to low cardiac output syndrome, while the other 22 cases were followed up for (2.1±0.3) years with good outcomes (2 cases underwent a second surgery within 1 year after the first operation due to anastomotic stenosis or pulmonary vein stenosis). CONCLUSIONS TAPVC fetuses can achieve good outcomes with integrated management during the perinatal period.
Female ; Humans ; Pregnancy ; Echocardiography ; Heart Defects, Congenital/surgery* ; Pulmonary Veins/surgery* ; Retrospective Studies ; Scimitar Syndrome/surgery* ; Infant, Newborn

Bone development shows certain regularity with age. The regularity can be used to infer age and serve many fields such as justice, medicine, archaeology, etc. As a non-invasive evaluation method of the epiphyseal development stage, MRI is widely used in living age estimation. In recent years, the rapid development of machine learning has significantly improved the effectiveness and reliability of living age estimation, which is one of the main development directions of current research. This paper summarizes the analysis methods of age estimation by knee joint MRI, introduces the current research trends, and future application trend.
Epiphyses/diagnostic imaging* ; Age Determination by Skeleton/methods* ; Reproducibility of Results ; Magnetic Resonance Imaging/methods* ; Knee Joint/diagnostic imaging*