Background Light gradient boosting machine (LightGBM) has become a popular choice in prediction models due to its high efficiency and speed. However, the "black box" issues in machine learning models lead to poor model interpretability. At present, few studies have evaluated the severity of occupational injuries from the perspective of LightGBM model and model interpretability. Objective To evaluate the application value of LightGBM models and model interpretability methods in occupational injury prediction. Methods The Mine Safety and Health Administration (MSHA) occupational injury data set of mining industry workers from 1983 to 2022 was used. Injury severity (death/fatal occupational injury and permanent/partial disability) was used as the outcome variable, and the predictor variables included the month of occurrence, age, sex, time of accident, time since beginning of shift, accident time interval from shift start, total experience, total mining experience, experience at this mine, cause of injury, accident type, activity of injury, source of injury, body part of injury, work environment type, product category, and nature of injury. Feature sets were screened using least absolute shrinkage and selection operator (Lasso) regression. A LightGBM model was then employed to predict occupational injury, with area under curve (AUC) of the model serving as the primary evaluation metric; an AUC closer to 1 indicates better predictive performance of the model. The interpretability of the model was evaluated using Shapley additive explanations (SHAP). Results Through Lasso regression, 7 key influencing factors were identified, including accident time interval from shift start, experience at this mine, cause of injury, accident type, body part of injury, nature of injury, and work environment type. A LightGBM model, constructed based on feature selection via Lasso regression, demonstrated good predictive performance with an AUC value of 0.9941 (95%CI: 0.9917, 0.9966), accuracy of 0.9743, specificity of 0.9781, and sensitivity of 0.9640. The predicted probability of fatal occupational injuries showed high consistency with the actual probability of fatal occupational injuries. In the occupational injury prediction model, the importance of each indicator was analyzed through its SHAP value, and it was found that the body part of injury and the nature of injury were the two main features that affected the prediction results of the model, and the impacts of other features were relatively small. The distribution of SHAP values across body part of injury was broad, with significant impacts on the model's prediction of fatal risk, particularly for injuries to the head and neck, as well as multi-part injuries. The nature of injury also exerted influences on the model in different directions, with suffocation/drowning, crushing, and multi-part injuries having a greater impact on the risk of fatal occupational injuries. Conclusion LightGBM model is capable of efficiently processing large-scale data and providing high-precision prediction results. Research on model interpretability aids in more accurately exploring and analyzing various key risk factors for fatal occupational injuries among mining workers, and further reveals the complex interactions among these factors. This, in turn, enables better preventive intervention and protection measures, as well as optimal resource allocation for labor workers.

Objective:To evaluate the efficacy of individualized removal therapeutic regimen for donor-specific antibodies (DSA) and examine its related influencing factors.Method:From January 2016 to January 2021, 34 recipients of kidney transplant (KT) underwent regular DSA testing and the results were positive. DSA removal therapy based upon rituximab (RTX) plus intravenous immune globulin (IVIG) was offered. Correlation between DSA negative conversion rate and DSA types, time from start of treatment to transplantation, HLA loci targeted by DSA and DSA mean fluorescent intensity (MFI) were analyzed retrospectively. Changes of immunedominant DSA (iDSA) and serum creatinine in individuals with de novo DSA (dnDSA) before and after treatment were also examined.Results:At Month 3 post-treatment, antibodies turned negative in 17/34(50.0%) patients and DSA became negative in 19/34(55.9%) at the last follow-up. Then we identified 78 DSA from all patients. No significant difference existed in negative conversion rate of pfDSA and dnDSA at Month 3 post-treatment [62.9%(39/62) vs 37.5%(6/16)] and at the last follow-up [4.2%(46/62) vs 56.3%(9/16)]( P=0.067, 0.219). For pfDSA, negative conversion rate of pfDSA with different MFIs after 3-month treatment varied significantly [negative conversion rate of weak positive DSA was 78.6%(33/42) and positive and above DSA 30%(6/20), P<0.001]. It was an independent related factor of whether or not pfDSA could turn negative (48.6%, 95% CI: 22.3%-66.8%, P=0.001). At the last follow-up, negative conversion rate of pfDSA differed markedly at different timepoints from start of treatment to transplantation [treated within 30 days post-operation was 79.2%(42/53) and over 30 days post-operation was 44.4%(4/9), P=0.042] and among different DSA MFI [88.1%(37/42) of weakly positive DSA and 45%(9/20) of positive and above DSA, P<0.001] and they were independent related factors for negative conversion of pfDSA (34.8%, 95% CI: 3.2%-61.8%, P=0.008; 43.1%, 95% CI: 18.5%-63.4%, P=0.001). Mean decline rate in iDSA was 66.67% at Month 3 post-treatment and 77.90% at the last follow-up. The difference was statistically significant ( P=0.035). Serum level of creatinine of 9 patients with dnDSA was (110.2±26.9) μmol/L pre-treatment, (178.8±90.5) μmol/L during treatment, (153.9±72.8) μmol/L at Month 3 post-treatment and (213.6±185.8) μmol/L at the last follow-up. Serum creatinine rose during treatment ( t=-2.794, P=0.023), declined at Month 3 post-treatment ( t=3.430, P=0.009) and spiked again at the last follow-up ( P=0.028). Conclusion:After DSA removal therapy based upon RTX plus IVIG, negative conversion rate of pfDSA is correlated with its MFI and time from start of treatment to transplantation. There is no significant rebound in DSA MFI and graft function of dnDSA patients improves immediately after treatment.

China has made remarkable advances in the field of organ donation and transplantation. However, with surging demands for organ transplantation services, there is still a large gap. Thus the Chinese development of organ donation and transplantation has a lot of catch-ups. The new Regulations on Human Organ Donation and Transplantation accorded with domestic conditions, culture and ethics. It specified that organ donation and transplantation should adhere to the general principle of "People Foremost & Life Primary" and strengthen the top-level designs of five operating systems of organ donation, acquisition & distribution, transplant clinical services, transplant quality control and supervising & optimizing. Upholding the protection of the rights and interests of both donors and recipients, it strengthened the supervision of the whole process of organ donation & transplantation, emphasized the importance of publicity & education of organ donation, provided a more solid legal guarantees for standardizing and promoting organ donation & transplantation and ushered in new opportunities for further developments of human organ donation & transplantation.

Objective:To explore the application effect of the teaching method combining process-oriented-guided inquiry learning (POGIL) theory and micro-class in orthopedic clinical internship.Methods:The 118 interns who completed internship from January 2022 to December 2022 were randomly divided into a control group (58) and an experimental group (60). The control group received traditional teaching, while the experimental group received a teaching method combining POGIL theory and micro-class. After the internship, the two groups were compared for assessment scores (basic theoretical knowledge and professional theoretical knowledge), learning status (classroom performance and self-learning ability), clinical practice ability (Leicester Assessment Scale), and teaching satisfaction. The t-test and chi-square test were performed using SPSS 21.0. Results:After the internship, the assessment scores, classroom performance, self-directed learning ability scores, clinical skills, case writing scores, and teaching satisfaction of the experimental group were all higher than those of the control group ( t/ χ2=5.01, 3.72, 2.20, 6.57, 3.56, 4.52, P<0.05). Conclusions:The teaching method combining POGIL theory and micro-class can enhance the master of theoretical knowledge by orthopedic interns, optimize classroom performance, cultivate self-learning ability, and improve clinical practice ability and teaching satisfaction.

It is believed that retention due to deficient qi is an important pathogenesis of endometriosis （EMs）. Deficient qi is the root of the disease， mainly manifested as spleen deficiency， while retention is the branch pathogenesis of the disease， mainly with blood stasis， complicated with constraint， phlegm， heat， toxin and other pathological factors. Therefore， it is proposed to follow the treatment principle of supplementing deficiency and unblocking stagnation， and take the methods of replenishing qi and fortifying the spleen， removing stasis and eliminating concretions. Self-made Fuzheng Huayu Formula （扶正化瘀方） is taken as the basic formula， and can be modified with the symptoms in menstrual and non-menstrual periods. Additionally， the methods of moving qi， dispelling phlegm， clearing heat， relieving toxin and others can be combined， and it is recommended to treat the root and the branch simultaneously.

Humans ; COVID-19/genetics* ; SARS-CoV-2/genetics* ; Clustered Regularly Interspaced Short Palindromic Repeats/genetics* ; CRISPR-Cas Systems/genetics* ; RNA, Viral/genetics*

Humans ; SARS-CoV-2 ; COVID-19 ; Antibodies ; Antibodies, Viral/therapeutic use* ; Antibodies, Neutralizing/therapeutic use*

Background The severity of occupational injury in countries such as the United Kingdom, the United States, and Germany is usually analyzed using lost workdays, but in existing occupational injury surveillance research in China, the application of this index is rare. Objective To evaluate the application value of lost workdays in non-fatal occupational injury surveillance, and provide a reference for the construction of occupational injury surveillance index system. Methods The public data of European Statistics on Accidents at Work (ESAW) from 2010 to 2019 on non-fatal injury accidents in 27 member states of the European Union were used. Non-fatal occupational injury is defined as an injury event during occupational activities or at work resulting a victim's absence from work for ≥4 d. According to the European Statistics on Accidents at Work-Summary methodology, the lost workdays were divided into 8 categories (4-6 d, 7-13 d, 14-20 d, 21-30 d, 31-91 d, 92-182 d, 183 d and above, and unknown). Annual percentage change (APC) and the average annual percentage change (AAPC) were used to evaluate the overall trend changes in the incidence rate of non-fatal occupational injury accidents in different lost workdays from 2010 to 2019, and the non-fatal occupational injury accidents in key industries. The characteristics of the occurrence of non-fatal occupational injuries were analyzed in conjunction with the changes in non-fatal occupational injuries in different lost workdays in the industry. Results From 2010 to 2019, the overall incidence of non-fatal occupational injury accidents in the European Union showed a downward trend, and the AAPC was −1.0% (P<0.05). The accident rates of lost workdays of 4-6 d and 92-182 d showed an upward trend, and the AAPC were 7.9% and 5.8% respectively (P<0.05). The average annual accident rates of non-fatal occupational injuries (≥4 d) in Categories C (manufacturing industry), E (water supply, sewage treatment, waste management and remediation), and F (construction industry) showed a linear downward trend, and the AAPC were −3.0%, −2.5%, and −1.5%, respectively (P<0.05). However, among them, the rate of non-fatal occupational injury accidents with 92-182 d of lost workdays in the manufacturing industry showed a significant upward trend, with an AAPC of 3.7% (P<0.001). Conclusion Using lost workdays combined with APC and AAPC by Join-point linear regression analysis can measure the severity and trend changes of non-fatal occupational injury accidents in different industries and different lost workdays. This indicator has an important practical significance in evaluating the effectiveness of occupational injury prevention and control strategies adopted by countries and enterprises.

Background The United Kingdom (UK) adopts active surveillance and passive surveillance to jointly collect occupational injury data, and builds a relatively complete occupational injury surveillance system, which can provide reference for the construction of China's occupational injury surveillance system. Objective To compare the results of active surveillance and passive surveillance of occupational injuries in the UK, and to explore the joint application value of active and passive surveillance methods in the field of occupational injury prevention and control. Methods The non-fatal occupational injury active surveillance data from Labor Force Survey were used to calculate indicators such as number of reported cases, reporting rate, lost workdays per year, lost workdays per capita, and average lost workdays per case. The fatal passive surveillance data reported by the employers were used to calculate number of reported deaths, reported mortality, and other indicators. Join-point regression was used to estimate the reported trends of fatal and non-fatal occupational injuries from 2004 to 2020, and the annual percentage change (APC) and average annual percentage change (AAPC) were calculated. Results The active surveillance data showed that from 2004 to 2020, the number of reported cases of absenteeism ≥0 d due to occupational injury decreased from 89.7 (95%CI: 85.2, 94.2) per ten thousand to 44.1 (95%CI: 39.1, 49.2) per ten thousand, and the reporting rate of occupational injury decreased from 32100/100000 (95%CI: 3050/100000, 3370/100000) to 1410/100000 (95%CI: 1250/100000, 1570/100000), showing a linear downward trend (both APC and AAPC were −3.88%, P<0.05); the average lost workdays per case in 2019 was 9.1 (95%CI: 6.8, 11.5) d. The passive surveillance data showed that from 2004 to 2020, the number of reported deaths due to occupational injury decreased from 223 to 142, and the reporting rate of occupational injury decreased from 0.78/100000 to 0.44/100000, showing a linear downward trend (both APC and AAPC were −4.59%, P<0.05). Conclusion The reporting rates of fatal and non-fatal occupational injuries in the UK are showing a linear downward trend. The active surveillance method based on Labor Force Survey provides more surveillance indicators for non-fatal occupational injuries, and the passive surveillance method based on employer report has more advantages in assessment of fatal occupational injuries. Jointly applying the two surveillance modalities and the combination of trend analysis indicators, such as AAPC, provide a more comprehensive picture of the epidemiological characteristics of occupational injuries.

Objective:To explore the risk factors related to acute rejection (AR) after pediatric kidney transplantation (KT).Methods:Retrospective analysis was performed for 189 pediatric KT recipients from September 2011 to August 2022.They were divided into two groups of AR (n=33) and non-AR (n=156).Univariate and multivariate Logistic regression analyses were performed for identifying potential risk factors of AR.And the effects of AR on graft function and survival were also examined.Results:During follow-ups, a total of 33(17.5%) patients developed AR with a 1-year cumulative incidence of AR of 16.9%(32/189).Univariate analysis revealed that median time on dialysis was longer in AR group than that in non-AR group (19 vs. 11 months, P=0.034).Median age of donors (12 vs. 24 months, P=0.033), median weight of donors (9.5 vs. 12 kg, P=0.025) and median donor/recipient body weight ratio (0.36 vs. 0.50, P=0.005) were lower in AR group than those in non-AR group.And the proportion of subtherapeutic tacrolimus (TAC) trough level was higher in AR group than that in non-AR group (45.5% vs. 21.2%, P=0.004).Multivariate regression analysis indicated that subtherapeutic TAC trough level was an independent risk factor for AR ( OR=2.977, 95% CI: 1.314-6.743, P=0.009).At the last follow-up, serum creatinine and eGFR were (78.4±24.3) vs. (74.6±24.7) μmol/L and (85.3±26.3) vs. (89.5±24.2) ml·min -1·1.73 m -2 in AR and non-AR groups respectively.There were no significant differences.1/5-year patient survival rate was both 97% in AR group and both 99.4% in non-AR group; 1/5-year graft survival rate both 90.9% in AR group and was 98.1% and 97.4% in non-AR group.No significant inter-group differences existed in patient and graft survival. Conclusions:Although an occurrence of early AR does not negatively impact graft outcomes, the incidence of AR remains high after pediatric KT.Therefore prompt diagnosis and treatment of AR should be strengthened.