Objective:To analyze the factors influencing the lung function of coal miners, identify the optimal combination of indicators for evaluating lung function, develop a risk assessment model using machine learning, and offer personalized risk assessment for workers.Methods:In June 2023, through cluster sampling, male underground workers who participated in occupational health examinations at a coal mine in North China from July to August 2018 were selected as the research subjects. Their health examination results and occupational environmental data were collected. A total of 3, 320 coal miners were included. Randomly divide the research subjects into a training set (2324 people) and a validation set (996 people) in a ratio of 7∶3, and the balance of the two sets was tested. Perform LASSO regression analysis using R 4.2.2 software to select relevant important variables, and determine the model's input variables by combining them with relevant literature. Utilize Python 3.8 to construct logistic regression, random forest, support vector machine, and XG Boost models, assess the models' discriminative ability using metrics like accuracy, sensitivity, specificity, F1 score, ROC curve, and AUC, evaluate the models' calibration using Brier score, Log loss score, and calibration curve, and further analyze the clinical performance of the developed models through DCA decision curve analysis.Results:Among the 3 320 coal miners, 856 had abnormal lung function (25.78%). The XG Boost model was identified as the optimal model, achieving a training set accuracy of 87.39%, sensitivity of 86.60%, specificity of 87.67%, F1 score of 0.779, AUC of 0.945, Brier score of 0.071, Log loss of 0.267 and demonstrated good calibration curve consistency.Conclusion:The XG Boost model exhibits superior predictive performance compared to other models, and the model has high application value. The Shapley Additive Explanation (SHAP) method is employed for interpretation, making it a reliable basis for preventing abnormal lung function in coal miners.

BACKGROUND:Gait analysis,as a radiation-free dynamic assessment method,may be able to assist imaging to evaluate patients with scoliosis,thereby reducing radiation exposure.OBJECTIVE:To analyze the correlation between gait parameters and imaging parameters in adolescent idiopathic scoliosis patients,and preliminarily explore the potential mechanism through OpenSim simulation modeling.METHODS:Twenty adolescent idiopathic scoliosis patients aged 10-18 years with Cobb angle of 10°-45° were selected as adolescent idiopathic scoliosisgroup. The control group was normal children of the same age and the same body mass index range,and a total of 40 subjects were included. The differences in spatiotemporal parameter,kinematic parameters,dynamic parameters,and gait deviation index of the two groups were compared to explore the correlation between pathological gait and coronal balance. The related mechanisms were preliminarily studied.RESULTS AND CONCLUSION:(1) The comparison of gait parameters between groups showed that the percentage of bilateral support phase and double support phase increased in adolescent idiopathic scoliosis patients,and the percentage of bilateral swing phase decreased (P<0.05). The maximum adduction angle of the left hip joint of patients in the adolescent idiopathic scoliosis group was greater than that of the control group,and the maximum abduction angle of the bilateral hip joints was significantly less than that of the control group (P<0.05). The ankle joints of the two groups when the bilateral heels initially touched the ground;the difference between angles was significant (P<0.05). The peak power of right hip flexor muscle group in adolescent idiopathic scoliosis patients was significantly decreased when they pushed off the ground (P<0.05). (2) The results of the correlation study showed that the maximum abductive angle of the right hip joint was significantly positively correlated with the Cobb angle (r=0.552,P=0.012),and the right peak power of right hip flexor muscle and C7 lateral offset were significantly negatively correlated (r=-0.475,P=0.034). There was a significant positive correlation between ankle angle and lateral pelvic tilt when left foot followed the ground (r=0.476,P=0.034). (3) The simulation results of muscle length showed that the change of muscle fiber length of gluteal medium muscle in adolescent idiopathic scoliosis patients was significantly reduced (P<0.05). The change of muscle fiber length of the bilateral internal oblique muscle was significantly reduced in adolescent idiopathic scoliosis patients (P<0.05). Comparing the muscle fiber length of the two groups when foot followed the ground,it was found that the muscle fiber length of the calf triceps of the adolescent idiopathic scoliosis patients was significantly shorter when foot followed the ground (P<0.05). (4) The results showed that the postural stability control of the trunk of adolescent idiopathic scoliosis patients was decreased,which was manifested as slow step frequency,increased percentage of double support phase and decreased percentage of swing phase. The common pattern of low foot striking pattern is caused by bilateral Achilles tendon tension. In adolescent idiopathic scoliosis patients,the ability of hip flexor muscle to do work is decreased,which may be related to joint angular velocity and main bend direction.

Objective:To investigate the occurrence of work-related musculoskeletal disorders (WMSDs) among underground coal mine workers, identify the risk factors for WMSDs, and provide a scientific evidence for the prevention and treatment of WMSDs.Methods:In March 2024, through cluster sampling, the on-the-job workers who underwent questionnaire surveys and health examinations at a certain coal mine from July to August 2018 were selected as the research subjects. Basic information of employees, ergonomics-related characteristics, and the occurrence status of WMSDs in each part were collected, and multivariate logistic regression was used for analysis.Results:The incidence rate of WMSDs in at least one site among underground coal mine workers within the past year was 62.22% (219/352). The top three sites in sequence were the lower back (44.32%, 156/352), neck (26.14%, 92/352), and knee (26.14%, 92/352). Multivariate logistic regression analysis showed that frequently exerting great force with arms or hands during work ( OR=2.223, 95% CI: 1.022-4.836), prolonged static forward bending ( OR=1.544, 95% CI: 1.305-1.972), and frequently exerting great effort to operate tools or machines ( OR=2.206, 95% CI: 1.011-4.813), absence of external support systems ( OR=1.589, 95% CI: 1.349-1.996), and repetitive full-body twisting ( OR=1.523, 95% CI: 1.298-1.916) were all risk factors for the occurrence of WMSDs in the lower back ( P<0.05). Both night shift work ( OR=1.564, 95% CI: 1.339-1.939) and frequent forward neck flexion ( OR=1.532, 95% CI: 1.312-1.907) were all risk factors for the occurrence of WMSDs in the neck ( P<0.05). Lifting heavy objects above the shoulder ( OR=1.333, 95% CI: 1.142-1.782), uncomfortable posture and inability to exert force ( OR=1.873, 95% CI: 1.104-2.712), the use of vibration tools ( OR=2.958, 95% CI: 1.255-6.972), and length of service >10 years ( OR=1.525, 95% CI: 1.105-1.967) were all risk factors for the occurrence of WMSDs in the knee ( P<0.05) . Conclusion:The incidence of WMSDs among underground coal miners is relatively high, mainly concentrated in the lower back, neck and knee, and is related to factors such as poor working postures, and work organization. Coal mining enterprises should strengthen work organization, provide appropriate working equipment, and ensure reasonable distribution of workloads.

Objective:To identify risk factors influencing the incidence of hypertension among steelworkers (Homo sapiens) and establish an effective and easily implementable hypertension prediction model.Methods:In September 2023, 2214 steelworkers (Homo sapiens) were selected as study subjects. Basic demographic information, lifestyle, and occupational exposure data were collected, along with physiological measurements such as height, weight, and blood pressure. Multivariate unconditional logistic regression analysis was employed based on relevant literature to determine influencing factors for hypertension among steelworkers (Homo sapiens). Python 3.9 software was used to construct and compare logistic regression, support vector machine (SVM), random forest, extreme gradient boosting tree (XGBoost), and LGBM models. Model performance was evaluated using metrics such as receiver operating characteristic (ROC) curves, accuracy, calibration curves, and F1 scores. The Shapley Additive Explanations (SHAP) model was introduced for feature importance analysis to enhance the interpretability of the prediction model.Results:A total of 432 cases of hypertension were detected among 2214 study subjects, with a detection rate of 19.51%. Age, smoking status, salt intake, use of cooling equipment, carbon monoxide exposure, family history of hypertension, fasting blood glucose, triglycerides, and hemoglobin were identified as independent risk factors for hypertension ( P<0.05). A comparison of the five models revealed the following performance metrics: logistic regression achieved an accuracy of 0.853, F1 score of 0.680, Brier score of 0.108, and AUC of 0.907; SVM demonstrated an accuracy of 0.863, F1 score of 0.687, Brier score of 0.081, and AUC of 0.910; random forest showed an accuracy of 0.857, F1 score of 0.603, Brier score of 0.105, and AUC of 0.861; XGBoost yielded an accuracy of 0.850, F1 score of 0.684, Brier score of 0.117, and AUC of 0.899; and the LGBM model exhibited an accuracy of 0.838, F1 score of 0.625, Brier score of 0.112, and AUC of 0.870. Conclusion:The SVM model demonstrated strong predictive performance, effectively assessing the risk of hypertension among steelworkers (Homo sapiens) and facilitating targeted health management interventions.

Objective:To evaluate the relationship between postoperative delirium (POD) and concentrations of phosphatidylethanolamine-binding protein 1 (PEBP1) in cerebrospinal fluid (CSF) of elderly patients undergoing total knee and hip arthroplasty.Methods:In this case-control study, 375 elderly patients of both sexes, aged ≥65 yr, of American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, scheduled for elective total knee and hip arthroplasty under combined spinal-epidural anesthesia at Haian Hospital Affiliated to Nantong University from November 2022 to June 2024, were selected. The perioperative clinical data were collected. CSF was drawn before anaesthesia for determination of the concentrations of PEBP1, Abeta 42 (Aβ 42), total tau (t-tau) and phosphorylated tau (p-tau) by enzyme-linked immunosorbent assay. The occurrence of postoperative delirium was evaluated using the Confusion Assessment Method at 1-7 days after operation. The severity of POD was assessed using a Memorial Delirium Assessment Scale. The patients were divided into POD group and non-POD group based on whether POD occurred. The influencing factors of POD were analyzed using multivariate logistic regression. Mediating effects were assessed to determine whether the levels of Aβ 42, p-tau and t-tau in CSF mediated PEBP1′s effect on POD. The accuracy of CSF PEBP1 concentration in predicting POD was evaluated using the receiver operating characteristic curve. Results:Decreased concentration of Aβ 42 in CSF, decreased ratios of Aβ 42/p-tau and Aβ 42/t-tau in CSF, and increased concentrations of PEBP1, p-tau and t-tau in CSF were independent risk factors for POD ( P<0.05). The results of mediation analysis showed that the relationship between PEBP1 and POD was partially mediated by CSF Aβ 42 (15.0%) and Aβ 42/t-tau ratio (14.9%). The receiver operating characteristic curve showed that the accuracy of CSF PEBP1 concentrations in predicting the occurrence of POD was high (AUC=0.846, P<0.001). Conclusions:Preoperative elevated CSF PEBP1 concentration is a risk factor for POD. CSF Aβ 42 concentration and Aβ 42/t-tau ratio serve as key mediators in the the association between PEBP1 and POD. PEBP1 concentration is more accurate in predicting POD.

Objective:To investigate the occurrence of work-related musculoskeletal disorders (WMSDs) among underground coal mine workers, identify the risk factors for WMSDs, and provide a scientific evidence for the prevention and treatment of WMSDs.Methods:In March 2024, through cluster sampling, the on-the-job workers who underwent questionnaire surveys and health examinations at a certain coal mine from July to August 2018 were selected as the research subjects. Basic information of employees, ergonomics-related characteristics, and the occurrence status of WMSDs in each part were collected, and multivariate logistic regression was used for analysis.Results:The incidence rate of WMSDs in at least one site among underground coal mine workers within the past year was 62.22% (219/352). The top three sites in sequence were the lower back (44.32%, 156/352), neck (26.14%, 92/352), and knee (26.14%, 92/352). Multivariate logistic regression analysis showed that frequently exerting great force with arms or hands during work ( OR=2.223, 95% CI: 1.022-4.836), prolonged static forward bending ( OR=1.544, 95% CI: 1.305-1.972), and frequently exerting great effort to operate tools or machines ( OR=2.206, 95% CI: 1.011-4.813), absence of external support systems ( OR=1.589, 95% CI: 1.349-1.996), and repetitive full-body twisting ( OR=1.523, 95% CI: 1.298-1.916) were all risk factors for the occurrence of WMSDs in the lower back ( P<0.05). Both night shift work ( OR=1.564, 95% CI: 1.339-1.939) and frequent forward neck flexion ( OR=1.532, 95% CI: 1.312-1.907) were all risk factors for the occurrence of WMSDs in the neck ( P<0.05). Lifting heavy objects above the shoulder ( OR=1.333, 95% CI: 1.142-1.782), uncomfortable posture and inability to exert force ( OR=1.873, 95% CI: 1.104-2.712), the use of vibration tools ( OR=2.958, 95% CI: 1.255-6.972), and length of service >10 years ( OR=1.525, 95% CI: 1.105-1.967) were all risk factors for the occurrence of WMSDs in the knee ( P<0.05) . Conclusion:The incidence of WMSDs among underground coal miners is relatively high, mainly concentrated in the lower back, neck and knee, and is related to factors such as poor working postures, and work organization. Coal mining enterprises should strengthen work organization, provide appropriate working equipment, and ensure reasonable distribution of workloads.

Objective:To identify risk factors influencing the incidence of hypertension among steelworkers (Homo sapiens) and establish an effective and easily implementable hypertension prediction model.Methods:In September 2023, 2214 steelworkers (Homo sapiens) were selected as study subjects. Basic demographic information, lifestyle, and occupational exposure data were collected, along with physiological measurements such as height, weight, and blood pressure. Multivariate unconditional logistic regression analysis was employed based on relevant literature to determine influencing factors for hypertension among steelworkers (Homo sapiens). Python 3.9 software was used to construct and compare logistic regression, support vector machine (SVM), random forest, extreme gradient boosting tree (XGBoost), and LGBM models. Model performance was evaluated using metrics such as receiver operating characteristic (ROC) curves, accuracy, calibration curves, and F1 scores. The Shapley Additive Explanations (SHAP) model was introduced for feature importance analysis to enhance the interpretability of the prediction model.Results:A total of 432 cases of hypertension were detected among 2214 study subjects, with a detection rate of 19.51%. Age, smoking status, salt intake, use of cooling equipment, carbon monoxide exposure, family history of hypertension, fasting blood glucose, triglycerides, and hemoglobin were identified as independent risk factors for hypertension ( P<0.05). A comparison of the five models revealed the following performance metrics: logistic regression achieved an accuracy of 0.853, F1 score of 0.680, Brier score of 0.108, and AUC of 0.907; SVM demonstrated an accuracy of 0.863, F1 score of 0.687, Brier score of 0.081, and AUC of 0.910; random forest showed an accuracy of 0.857, F1 score of 0.603, Brier score of 0.105, and AUC of 0.861; XGBoost yielded an accuracy of 0.850, F1 score of 0.684, Brier score of 0.117, and AUC of 0.899; and the LGBM model exhibited an accuracy of 0.838, F1 score of 0.625, Brier score of 0.112, and AUC of 0.870. Conclusion:The SVM model demonstrated strong predictive performance, effectively assessing the risk of hypertension among steelworkers (Homo sapiens) and facilitating targeted health management interventions.

Objective:To investigate the clinical manifestation, therapy, and prognosis of Susac syndrome and enhance the understanding of this disease.Methods:A case summary was made.The clinical data of two siblings with Susac syndrome treated at Children′s Medical Center, Peking University First Hospital in January 2024 were summarized.Reported cases of pediatric Susac syndrome were reviewed.Results:The onset of the disease in the two siblings was at the age of 3.00 and 6.75 years, with recurrent headaches, tinnitus, hearing loss and encephalopathy symptoms.Cranial magnetic resonance imaging showed multiple cerebral microbleeding and microinfarction lesions, " snowball like" in the corpus callosum and diffuse white matter edema in the brain.Audiometry revealed sensorineural hearing loss.In one case, ophthalmic fluorescein angiography revealed ischemic changes due to branch retinal artery occlusions.No pathogenic variants were detected in gene testing.This child was diagnosed with Susac syndrome, and the symptoms were improved after treatment with Corticosteroids and Rituximab.No relapse was observed during the 9-month follow-up.A total of 20 pediatric cases of Susac syndrome were retrieved, including 18 reported previously and 2 cases from this study.There were 2 boys and 18 girls, with the age of onset ranging from 2.5 to 17.0 years.The common initial symptoms included headache (19 cases), vertigo and tinnitus or hearing loss (9 cases), and vision impairment or visual field defect (4 cases). The symptoms were improved after immunotherapy.Conclusions:With a low incidence, Susac syndrome is rare in children and difficult to diagnose.There may be a genetic predisposition in such disease.Early diagnosis and immunotherapy can low the relapse and improve the prognosis.

Objective:To evaluate the relationship between postoperative delirium (POD) and concentrations of phosphatidylethanolamine-binding protein 1 (PEBP1) in cerebrospinal fluid (CSF) of elderly patients undergoing total knee and hip arthroplasty.Methods:In this case-control study, 375 elderly patients of both sexes, aged ≥65 yr, of American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, scheduled for elective total knee and hip arthroplasty under combined spinal-epidural anesthesia at Haian Hospital Affiliated to Nantong University from November 2022 to June 2024, were selected. The perioperative clinical data were collected. CSF was drawn before anaesthesia for determination of the concentrations of PEBP1, Abeta 42 (Aβ 42), total tau (t-tau) and phosphorylated tau (p-tau) by enzyme-linked immunosorbent assay. The occurrence of postoperative delirium was evaluated using the Confusion Assessment Method at 1-7 days after operation. The severity of POD was assessed using a Memorial Delirium Assessment Scale. The patients were divided into POD group and non-POD group based on whether POD occurred. The influencing factors of POD were analyzed using multivariate logistic regression. Mediating effects were assessed to determine whether the levels of Aβ 42, p-tau and t-tau in CSF mediated PEBP1′s effect on POD. The accuracy of CSF PEBP1 concentration in predicting POD was evaluated using the receiver operating characteristic curve. Results:Decreased concentration of Aβ 42 in CSF, decreased ratios of Aβ 42/p-tau and Aβ 42/t-tau in CSF, and increased concentrations of PEBP1, p-tau and t-tau in CSF were independent risk factors for POD ( P<0.05). The results of mediation analysis showed that the relationship between PEBP1 and POD was partially mediated by CSF Aβ 42 (15.0%) and Aβ 42/t-tau ratio (14.9%). The receiver operating characteristic curve showed that the accuracy of CSF PEBP1 concentrations in predicting the occurrence of POD was high (AUC=0.846, P<0.001). Conclusions:Preoperative elevated CSF PEBP1 concentration is a risk factor for POD. CSF Aβ 42 concentration and Aβ 42/t-tau ratio serve as key mediators in the the association between PEBP1 and POD. PEBP1 concentration is more accurate in predicting POD.