Objective To analyze the distribution of occupational hazard factors (OHFs) in key enterprises in Foshan City. Methods A total of 373 enterprises from 11 key industries in Foshan City in 2022 were selected as the research subjects using the purposive sampling method. Monitoring data of OHFs in workplaces were obtained and analyzed from the "Workplace Occupational Hazards Monitoring Information System" under "China Disease Prevention and Control Information System". Results Among the 373 enterprises, small and micro-sized enterprises, and large and medium-sized enterprises accounted for 85.5% and 14.5% respectively. A total of 24 137 sampling points in the workplaces were monitored for OHFs, with the national standard compliance rate of 92.1%. Among different OHFs, the compliance rates ranked from highest to lowest were chemical agents, dust, and noise (98.0% vs 89.3% vs 52.0%, P<0.01). A total of 63 131 workers were employed in 373 enterprises, among whom 29 753 were exposed to OHFs, yielding an overall exposure rate of 47.1%. Exposure rates of OHFs by enterprise scale, from highest to lowest, were micro-sized, small-sized, medium-sized, and large-sized enterprises (69.2% vs 52.7% vs 47.3% vs 39.0%, P<0.01). The proportion of workers participated in occupational medical examination was 85.1%, with re-examination proportion of 62.5% and the abnormality detection rate of 2.1%. Conclusion In key enterprises in Foshan City, the risk of noise exposure is relatively high, and the exposure rate of OHFs is highest in micro-sized enterprises. The occupational health supervision and management department needs to strengthen the governance of noise hazards in a targeted manner and urge enterprises (especially micro-sized enterprises) to fulfill their primary responsibilities in occupational disease prevention and control.

OBJECTIVE To explore whether pachymic acid （Pac） regulates mitochondrial autophagy mediated by the PTEN- induced kinase 1 （PINK1）/Parkin RBR E3 ubiquitin-protein ligase （Parkin） signaling pathway to alleviate myocardial injury in coronary heart disease （CHD） rats. METHODS SD rats were divided into control （Con） group， CHD group， Pac low-dose group （Pac-L group）， Pac high-dose group （Pac-H group）， Pac-H+PINK1/Parkin signaling pathway inhibitor group （Pac-H+3-MA group）， with 10 rats in each group. Except for the Con group， CHD models were established in the remaining groups of rats. After successful modeling， the rats in each group were intraperitoneally injected with the corresponding drugs or normal saline. After continuous intervention for 4 weeks， the left ventricular ejection fraction （LVEF）， left ventricular end-diastolic volume （LVEDV）， left ventricular end-systolic volume （LVESV）， and mean arterial pressure （MAP） of the rats were detected. The levels of creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， cardiac troponin I （cTnI）， and cardiac troponin T （cTnT） in the serum， as well as the levels of tumor necrosis factor-α （TNF-α）， interleukin-10 （IL-10）， IL-1β， reactive oxygen species （ROS）， malondialdehyde （MDA） in the myocardial tissue， and the activities of catalase （CAT） and superoxide dismutase （SOD）， as well as the expression levels of p62， cleaved caspase-3， Parkin， PINK1 proteins and the ratio of microtubule-associated protein 1 light chain 3 Ⅱ （LC3Ⅱ）/LC3Ⅰ ratio were measured. The morphology of myocardial tissue and mitochondrial autophagic vesicles were observed， and the number of mitochondrial autophagic vesicles per unit area and the rate of cardiomyocyte apoptosis were counted. RESULTS Compared with CHD group， LVEF， MAP， IL-10 levels， CAT and SOD activities， p62， Parkin， PINK1 protein expressions， LC3Ⅱ/LC3Ⅰ ratio， the numbers of mitochondrial autophagic vesicles per unit area in the Pac-L and Pac-H E-mail：hzdpft@163.com groups were increased significantly （P＜0.05）； the levels of LVEDV， LVESV， CK-MB， LDH， cTnI， cTnT， TNF-α， IL-1β， ROS and MDA， cell apoptosis rates， and protein expression of cleaved caspase-3 were all decreased significantly （P＜0.05）； and the changes in various indicators were more pronounced in the Pac-H group （P＜0.05）； both groups showed varying degree of improvement in myocardial histopathological morphology. Compared with the Pac-H group， the aforementioned indicators in rats from the Pac-H+3-MA group were all significantly reversed （P＜0.05）. CONCLUSIONS Pac may promote mitochondrial autophagy in cardiomyocytes of CHD rats by activating the PINK1/ Parkin signaling pathway， thereby reducing inflammatory responses and oxidative stress and improving myocardial injury.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

The long-term efficacy and complications of implantable diaphragm pacer (IDP) in a child with cervical spinal cord injury (CSCI) in the Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center in September 2022 were retrospective analyzed.A male child had quadriplegia without an obvious cause at the age of 12 years, and he was then lived completely with the assistance of mechanical ventilation.At the age of 14 years, he could wean off the ventilator in unilateral diaphragmatic pacing mode.However, mechanical ventilation was re-given for months after 5 years due to pneumonia, and then the IDP was re-given with the self-felt decreased pacing effect.After hospitalization, the patient was examined with mild diaphragmatic atrophy, secondary flat chest, and mild scoliosis.After optimization of the transdiaphragmatic pacing threshold and rehabilitation, his respiratory function improved.IDP can be used in CSCI for long time, while flat chest and scoliosis that limited the expansion of the lungs should be considered.At the meantime, the increased abdominal spasm affected the abdominal compliance, leading to the decrease in the efficiency of the diaphragm.

BACKGROUND:MRI is important for the diagnosis of early knee osteoarthritis.MRI image recognition and intelligent segmentation of knee osteoarthritis using deep learning method is a hot topic in image diagnosis of artificial intelligence. OBJECTIVE:Through deep learning of MRI images of knee osteoarthritis,the segmentation of femur,tibia,patella,cartilage,meniscus,ligaments,muscles and effusion of knee can be automatically divided,and then volume of knee fluid and muscle content were measured. METHODS:100 normal knee joints and 100 knee osteoarthritis patients were selected and randomly divided into training dataset(n=160),validation dataset(n=20),and test dataset(n=20)according to the ratio of 8:1:1.The Coarse-to-Fine sequential training method was used to train the 3D-UNET network deep learning model.A Coarse MRI segmentation model of the knee sagittal plane was trained first,and the rough segmentation results were used as a mask,and then the fine segmentation model was trained.The T1WI and T2WI images of the sagittal surface of the knee joint and the marking files of each structure were input,and DeepLab v3 was used to segment bone,cartilage,ligament,meniscus,muscle,and effusion of knee,and 3D reconstruction was finally displayed and automatic measurement results(muscle content and volume of knee fluid)were displayed to complete the deep learning application program.The MRI data of 26 normal subjects and 38 patients with knee osteoarthritis were screened for validation. RESULTS AND CONCLUSION:(1)The 26 normal subjects were selected,including 13 females and 13 males,with a mean age of(34.88±11.75)years old.The mean muscle content of the knee joint was(1 051 322.94±2 007 249.00)mL,the mean median was 631 165.21 mL,and the mean volume of effusion was(291.85±559.59)mL.The mean median was 0 mL.(2)There were 38 patients with knee osteoarthritis,including 30 females and 8 males.The mean age was(68.53±9.87)years old.The mean muscle content was(782 409.18±331 392.56)mL,the mean median was 689 105.66 mL,and the mean volume of effusion was(1 625.23±5 014.03)mL.The mean median was 178.72 mL.(3)There was no significant difference in muscle content between normal people and knee osteoarthritis patients.The volume of effusion in patients with knee osteoarthritis was higher than that in normal subjects,and the difference was significant(P<0.05).(4)It is indicated that the intelligent segmentation of MRI images by deep learning can discard the defects of manual segmentation in the past.The more accuracy evaluation of knee osteoarthritis was necessary,and the image segmentation was processed more precisely in the future to improve the accuracy of the results.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To analyze the value of the modified 5-factor frailty index in assessing postoperative complications and mortality in elderly hip fracture patients.Methods:In this retrospective study, clinical data were collected of hip fracture patients aged 60 years and above surgically treated at Beijing Luhe Hospital affiliated to Capital Medical University between January 2015 and December 2019.Patients' group assignment was based on whether the modified frailty index score was ≤1 or ≥2, and a post-surgery follow-up was conducted for survival at 30 days, 1 year, 2 years, and 4 years, which was analyzed by the Kaplan-Meier method.Multivariate Cox regression analysis was used to identify factors affecting death in elderly patients.Results:A total of 1 208 patients were included, with 890 in the group with the index score ≤1 and 318 in the group with the index score ≥2.There was no difference in mortality at 30 days(1.6% or 14/890 vs.1.9% or 6/318, P=0.707), 1-year(11.3% or 99/874 vs.11.6% or 36/310, P=0.917), 2-years(19.7% or 168/852 vs.24.3% or 73/300, P=0.099)and 4-years(44.0% or 238/541 vs.51.5% or 106/206, P=0.071). The incidence of postoperative complications in the group with the score ≥2 was higher(14.8% or 47/318 vs.9.7% or 86/890, P=0.012), including the incidence of stroke(6.3% or 20/318 vs.1.8% or 16/890, P<0.001)and the incidence of postoperative pneumonia(6.0% or 19/318 vs.3.1% or 28/890, P=0.029), and the differences were statistically significant.Multivariate Cox regression analysis showed that age, being female, the Charlson comorbidity index score and low hemoglobin at admission were risk factors for 1-year, 2-year and 4-year mortality post-surgery(all P<0.05), while the modified frailty index score had no correlation with postoperative mortality. Conclusions:A modified frailty index ≥2 is predictive of increased risk of postoperative pneumonia and stroke in patients with hip fractures, but is not correlated with the risk of postoperative mortality.

Objective:To analyze the acupoint selection law in treating insomnia with warming-needle moxibustion using data mining technology.Methods:The clinical research literature on warming-needle moxibustion in treating insomnia was retrieved from the databases of CNKI, VIP, Wanfang Data, China Medical Journal Full-text Database, SinoMed, PubMed from the establishment of the databases to June 30, 2023. Acupuncture prescriptions were extracted and a database was established. Descriptive analysis was carried out on the intervention measures, the number of moxibustion numbers, the total effective rate, and the relevant information of acupoint selection. Clustering analysis and association rule analysis by using SPSS Statistics 26.0, SPSS Modeler 18.0 were performed on the high-frequency acupoints used in body acupuncture and warming acupuncture, respectively.Results:A total of 67 articles about warming-needle moxibustion for insomnia were included. The main intervention was single warming-needle moxibustion, followed by combined auricular acupuncture. Moxibustion with moxa sticks of 1 to 2 cm in length was often used. The total effective rate was mostly between 92% and 94%. A total of 85 prescriptions were obtained, involving 55 acupoints (569 times in frequency), among which Baihui (DU 20) (55 times), Shenmen (HT 7) (54 times) and Sanyinjiao (SP 6) (45 times) were widely used. The selected acupoints were mainly distributed on the head, face, back and waist, and the affiliated meridians were mainly bladder meridian, Governor Vessel and heart meridian. The specific acupoints were mainly crossing points, followed by back-shu acupoints. Clustering analysis of high-frequency acupoints obtained three effective groups, including "Xinshu (BL 15)- Pishu (BL 20) - Shenshu (BL 23) - Ganshu (BL 18)", etc. Baihui (DU 20) and Shenmen (HT 7) were the most relevant acupoint combinations. A total of 44 acupoints (frequency 272 times) were involved in the selection of warming acupuncture, among which Sanyinjiao (SP 6) (32 times), Xinshu (BL 15) (23 times) and Pishu (BL 20) (23 times) were more frequently used. Clustering analysis of high-frequency acupoints obtained three effective groups, including "Xinshu (BL 15)- Pishu (BL 20) - Shenshu (BL 23) - Ganshu (BL 18)", etc. Pishu (BL 20) and Xinshu (BL 15) were the most relevant acupoint combinations.Conclusions:Warming-needle moxibustion for the treatment of insomnia focuses on the application of acupoints on the bladder meridian on the back and waist, cooperates with the selection of acupoints on the head and face, and attaches importance to the application of intersection points in specific acupoints. The selection of acupoints by warming-needle moxibustion is mainly based on the back-shu acupoints of zang-fu organs, which plays the role of balancing yin and yang, regulating zang-fu organs, tonifying deficiency and tranquilizing mind to help sleep.

Endodontic diseases are a kind of chronic infectious oral disease.Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha.However,it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy(RCT).Recent research,encompassing bacterial etiology and advanced imaging techniques,contributes to our understanding of the root canal system's anatomy intricacies and the technique sensitivity of RCT.Success in RCT hinges on factors like patients,infection severity,root canal anatomy,and treatment techniques.Therefore,improving disease management is a key issue to combat endodontic diseases and cure periapical lesions.The clinical difficulty assessment system of RCT is established based on patient conditions,tooth conditions,root canal configuration,and root canal needing retreatment,and emphasizes pre-treatment risk assessment for optimal outcomes.The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT.These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics.