Background China is a major coal producer and consumer country in the world. Coal workers' pneumoconiosis (CWP) is a primary factor endangering the occupational health of coal miners. Research on the disease burden of CWP and its changing trend is significant for disease prevention & control and associated policies. Objective To analyze the disease burden of CWP in China from 1990 to 2021 and its changing trend, and predict the disease burden from 2022 to 2035. Methods Using the Global Burden of Disease Study (GBD) database of 2021, numbers ofincident cases, prevalent cases, deaths, and disability-adjusted life years (DALYs) as well as crude and age-standardized rates of CWP in China were retrieved. Linear regression model was used to calculate the estimated annual percentage change (EAPC) of the age-standardized rates. Joinpoint regression model was used to analyze the temporal trend of disease burden and the disease burden of different sexes and age groups, and Bayesian age-period-cohort (BAPC) model was used to forecast the trend of CWP disease burden. Results In 1990, the incident, prevalent, and deaths cases of CWP in China were 3266, 18872, and 1561, respectively, and the DALYs of CWP were 44614.718 person-years. In 2021, the incident, prevalent, and deaths cases of CWP were 3446, 23975, and 1229, respectively, and the DALYs of CWP were 29610.754 person-years. From 1990 to 2021, the age-standardized incidence, prevalence, mortality, and DALYs rates of CWP in China all showed a downward trend, with the EAPCs of −3.121%, −2.532%, −4.018%, and −4.268%, respectively. The disease burden of CWP in China was mainly concentrated in the male population. The annual average percent change analysis indicated that each standardized rate showed a fluctuating downward trend in different periods. The BAPC model showed that from 2022 to 2035, the age-standardized rates of CWP in China would continue to decline steadily. In 2035, the age-standardized incidence, prevalence, mortality, and DALYs rates of CWP would be reduced to 0.10 per 100000, 0.74 per 100000, 0.03 per 100000, and 0.74 per 100000, respectively. Conclusion The disease burden contributed by CWP in China generally show a downward trend from 1990 to 2021, and it is expected that the age-standardized rates will continue to decline steadily from 2022 to 2035.

In recent years, with the rapid advancement of digital technologies, the application of intelligent medicine in the field of endocrine and metabolic diseases has been continuously expanding. This review focuses on the latest progress in intelligent medicine within this domain, aiming to provide valuable insights and references for promoting the integration of intelligent medicine with the diagnosis and treatment of endocrine and metabolic diseases.

Objective:To identify the risk factors for postoperative sleep disturbance (PSD) in patients undergoing spine surgery.Methods:In this case-control study, patients who underwent spine surgery from December 2023 to June 2024 at Beijing Tiantan Hospital of Capital Medical University, were selected as the subjects of the study. The quality of postoperative sleep was assessed using the Athens Insomnia Scale (AIS). The baseline characteristics and various perioperative indicators of the patients were collected. The patients were divided into PSD group and non-PSD group according to whether they had PSD. The variables with statistically significant differences from the univariate analysis were included in a multivariate logistic regression to identify the risk factors for PSD.Results:The results of the multivariate logistic regression analysis showed that preoperative sleep disturbance (odds ratio [ OR]=2.23, 95% confidence interval [ CI] 1.06-4.72, P=0.036), course of disease > 12 months ( OR=2.20, 95% CI 1.14-4.24, P=0.019) and AIS score > 2 on the night before surgery ( OR=2.06, 95% CI 1.02-4.16, P=0.045) were the independent risk factors for PSD in patients undergoing spine surgery. Conclusions:Preoperative sleep disturbance, course of disease > 12 months and AIS score > 2 on the night before surgery are independent risk factors for PSD in patients undergoing spine surgery.

Objective:To identify factors associated with depressive symptoms in maintenance hemodialysis patients and to examine the relationship between these symptoms and mortality.Methods:Between January and December 2019, patients who received maintenance hemodialysis in the Blood Purification Center of the Second Affiliated Hospital of Nanjing Medical University were enrolled in a prospective cohort study. Depressive symptoms were assessed using the internationally validated patient health questionnaire-8 (PHQ-8). Sleep quality and anxiety were measured with the Pittsburgh sleep quality index (PSQI) and the generalized anxiety disorder-7 (GAD-7) scale, respectively. Follow-up continued until December 31, 2022, with all-cause mortality as the primary outcome. Ordinal logistic regression was used to identify independent predictors of depression severity. Cox proportional hazards models evaluated the association between depressive symptoms and mortality.Results:A total of 532 maintenance hemodialysis (MHD) patients completed the study. Among them, 177 (33.3%) exhibited depressive symptoms. Compared with patients without depression, those with mild or moderate-to-severe depression were older [median age: 58 (50, 66) vs. 60 (55, 65) vs. 55 (46, 64)], more likely to smoke [35.9% (51/142) vs. 40.0% (14/35) vs.26.2% (93/355)], had poorer sleep quality [PSQI: 9 (6, 13) vs. 12 (9, 17) vs. 5 (3, 9)], and higher anxiety levels [GAD-7: 1 (0, 3) vs. 3 (1, 6) vs. 0 (0, 1)], the differences among the three groups were statistically significant (all P<0.05). Ordinal logistic regression identified smoking status, history of diabetes or cardiovascular disease, hemoglobin level, PSQI score, and GAD-7 score as independent predictors of depression severity ( OR=1.60, 1.80, 1.81, 0.98, 3.67, 8.67; all P<0.05). After a median follow-up of 40 (35, 44) months, 109 patients died, including 66 (60.6%) from cardio-cerebrovascular causes and 24 (22.0%) from infections. Kaplan-Meier analysis revealed significantly lower cumulative survival in the depression group compared to the non-depression group ( P<0.001). Cox regression analysis demonstrated that depressive symptoms remained independently associated with all-cause mortality after adjusting for confounders ( HR=1.06, 95% CI 1.00-1.13, P=0.048), with an even stronger association observed for patients with PHQ-8 scores≥2.9 ( HR=1.10, 95% CI 1.03-1.16, P=0.005). However, the associations between depression and cardio-cerebrovascular mortality ( P=0.111) or infection-related mortality ( P=0.509) were not statistically significant. Conclusions:Depressive symptoms are prevalent among maintenance hemodialysis patients and are independently associated with increased all-cause mortality. Smoking, comorbid diabetes or cardiovascular disease, low hemoglobin level, poor sleep quality, and anxiety are risk factors contributing to depression. Maintenance hemodialysis patients with PHQ-8 scores≥3 should be considered at heightened risk for mortality.

Objective:To analyze the non-motor symptom characteristics of patients with different subtypes of progressive supranuclear palsy (PSP).Methods:Demographic data were collected from patients diagnosed with probable or possible PSP in the PSP cohort at Qilu Hospital of Shandong University from June 2019 to June 2023. Motor symptoms were evaluated using the Progressive Supranuclear Palsy Rating Scale (PSPRS), Unified Parkinson′s Disease Rating Scale-Ⅲ , and the Freezing of Gait Questionnaire. Non-motor symptoms were assessed using the Non-Motor Symptoms Scale (NMSS), the Montreal Cognitive Assessment, the Hamilton Depression Rating Scale, and the Hamilton Anxiety Rating Scale. Patients were grouped into PSP with Richardson syndrome (PSP-RS), PSP with Parkinsonism (PSP-P), PSP with progressive gait freezing (PSP-PGF), and other subtypes (PSP-other) based on clinical classification. The study compared the non-motor symptom characteristics among the 4 groups and used linear regression models to evaluate the influencing factors of PSP non-motor symptoms.Results:A total of 153 PSP patients were included in this study, with a male-to-female ratio of 89∶64 and an age of (66.0±6.6) years. Among them, 83 were in the PSP-RS group (54.2%), 32 in the PSP-P group (20.9%), 27 in the PSP-PGF group (17.6%), and 11 in the PSP-other group (7.2%). The total NMSS score for non-motor symptoms in PSP patients was 62.6±38.5, with 8.8±4.7 non-motor symptoms per patient. The most common non-motor symptoms among all PSP patients were sleep/fatigue [130/153 (85.0%)], gastrointestinal symptoms [129/153 (84.3%)], urinary symptoms [113/153 (73.9%)], attention/memory impairment [112/153 (73.2%)], and mood symptoms [108/153 (70.6%)]. The total NMSS score of the PSP-RS group (70.8±36.0) was higher than that of the PSP-PGF group (49.4±40.3; t=2.561, P=0.011). The number of non-motor symptoms in the PSP-RS group (9.9±4.4) was greater than that in the PSP-P group (7.7±5.5; t=2.365, P=0.019) and the PSP-PGF group (6.9±4.3; t=2.978, P=0.003). The incidence of memory decline in the PSP-RS group [52/83 (62.7%)] was higher than that in the PSP-P group [10/32 (31.3%); χ 2=9.165, Bonferroni-corrected P=0.012], and the incidence of constipation in the PSP-RS group [49/83 (59.0%)] was higher than that in the PSP-PGF group [8/27 (29.6%); χ 2=7.056, Bonferroni-corrected P=0.048]. Multivariate regression analysis showed that the bulbar symptom score ( β=5.591, 95% CI 1.792-9.389, P=0.005), limb motor score ( β=1.786, 95% CI 0.398-3.174, P=0.013), and gait/axial score ( β=1.956, 95% CI 0.149-3.763, P=0.036) in PSPRS were all associated with non-motor symptom scores. Conclusions:Different PSP subtypes exhibit distinct non-motor symptom profiles. PSP-RS patients bear a heavier non-motor symptom burden, with higher incidences of memory decline and constipation than other subtypes. These findings may aid in the early recognition and clinical diagnosis of PSP.

Objective·To investigate the effects and molecular mechanisms of phosphatidylethanolamine(PE)on macrophage senescence and its senescence-associated secretory phenotype(SASP),as well as its pathophysiological role in liver injury.Methods·A macrophage senescence model was established using doxorubicin(DOX),followed by PE treatment.A mouse liver injury model was generated via intraperitoneal co-administration of PE and lipopolysaccharide(LPS)to investigate the effects of PE on liver injury.Senescence markers and SASP factors,including senescence-associated β-galactosidase(SA-β-gal),cell cycle inhibitor p21,tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6),were evaluated using SA-β-gal staining,quantitative real-time PCR,and Western blotting.RNA sequencing(RNA-seq)was performed,followed by Gene Ontology(GO)cellular component enrichment analysis,Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis,Gene Set Variation Analysis(GSVA),and Gene Set Enrichment Analysis(GSEA),to explore the molecular mechanisms and signaling pathways by which PE promotes macrophage senescence.The expression of endoplasmic reticulum(ER)stress-related proteins,including inositol-requiring enzyme 1 α(IRE1α),spliced X-box binding protein 1(XBP1s),activating transcription factor 6(ATF6),ATF4,and C/EBP homologous protein(CHOP),was analyzed through in vivo and in vitro experiments.Results·PE significantly promoted the expression of senescence markers SA-β-gal,p21,p16 and SASP factors.RNA-seq analysis revealed that ER stress was involved in PE-induced promotion of SASP.Further experiments demonstrated that PE activated the ER stress signaling pathway,promoting macrophage senescence and the expression of SASP factors.In vivo experiments further confirmed that PE exacerbated LPS-induced liver injury in mice through ER stress.Conclusion·PE promotes macrophage senescence and the expression of SASP factors by activating ER stress signaling pathway,thereby aggravating LPS-induced liver injury.

Objective:To analyze the influencing factors of low fall alertness in elderly inpatients,construct a risk prediction model and validate it,providing a reference for clinical medical staff to identify elderly inpatients with low fall alertness in the early stage.Methods:A total of 605 elderly inpatients treated in Yijishan Hospital affiliated to Wannan Medical College from Oct 2023 to Mar 2024 were enrolled and randomly divided into the training group(n=423)and validation group(n=182)at a ratio of 7∶3.The patients were evaluated using a general information questionnaire,the Social Frailty Screening Tool(HALFT),the Tilburg Frailty Indicator(TFI),and the Self-Awareness of Falls in Elderly scale(SAFE).Multivariate logistic analysis was used to determine the influencing factors of low fall alertness in elderly inpatients.RStudio was used to construct a risk prediction model of low fall alertness.The discrimination,calibration,and clinical net benefit of the model were verified using the receiver operating characteristic(ROC)curves,calibration plots,and decision curve analysis(DCA).Results:Multivariate logistic analysis showed that the history of falls,monthly income,previous physical activity time,social frailty score and TFI score were independent risk factors for low fall alertness in elderly inpatients.The Hosmer-Lemeshow χ2 test showed that χ2=8.863,P=0.354,indicating good calibration of the prediction model.The area under the ROC curve of the training group and the validation group were 0.860(95%CI:0.815-0.904)and 0.937(95%CI:0.888-0.986),respectively,and the maximum Youden indices of the model was 0.576 and 0.788,respectively,indicating good discrimination of the model.The DCA decision curve showed that the model had good clinical effectiveness.Conclusion:The constructed model has a good prediction effect and can help clinical medical staff quickly and effectively screen out elderly inpatients at risk of low fall alertness.

Circular RNA(circRNA),as a kind of non-coding RNA,regulates a variety of biological functions.To explore the effect of circRNA on PEDV replication in the host porcine intestinal epi-thelial cells,this study screened and analyzed the differentially expressed circRNAs by bioinforma-tic software in African Green Monkey renal cells(Vero-E6 cells)infected by porcine epidemic di-arrhea virus(PEDV),the differentially expressed circRNA ssc_circ_PIK3C2A was identified and the secondary structure was analyzed.PCR was used to identify the ssc_circ_PIK3C2A circRNA structure,the model of PEDV-infected IPEC-J2 cells was constructed,the TCID50 test was used to validate the viral titer of PEDV.The expression of circ_PIK3C2A was detected by qRT-PCR in IPEC-J2 infected by PEDV.circ_PIK3C2A qRT-PCR was performed to detect the expression of N gene of PEDV when ssc_circ_PIK3C2A was over-expressed in IPEC-J2 cells.The results showed that ssc_circ_PIK3C2 A is a porcine circular RNA with a typical circular structure,the virus titer of PEDV reached 10-6/mL after PEDV infected IPEC-J2 cells for 48 h,the expression of circ_PIK3C2A increased extremely(P＜0.01)at 6 h after PEDV-infection,with the extension of infec-tion time,its expression gradually decreased,and the expression was the lowest at 24 h,but there was no time-dependent trend.The expression of PEDV N gene decreased significantly when ssc_circ_PIK3C2A was over-expressed in IPEC-J2 cells.In conclusion,when PEDV infects IPEC-J2 cells,the expression of porcine circ_PIK3C2A decreases,and replication of PEDV increases signifi-cantly in IPEC-J2 cells.our result provides a basis for further study of the mechanism of circular RNA on PEDV replication and its physiological activities in host cells in the future.

OBJECTIVES: This study aimed to explore the clinical efficacy of severe early childhood caries (SECC) treatment combined with local anesthesia under general anesthesia. METHODS: A total of 108 children under 6 years old who underwent SECC dental treatment under general anesthesia at the Department of Pediatric Dentistry, Third Affiliated Hospital of Air Force Medical University from March to December 2023 were selected as the study subjects, with American Society of Anesthesiologists (ASA) classification of classⅠor Ⅱ. The study subjects were divided into a control group (n=54) and an experimental group (n=54) by retrieving intraoperative cases and postoperative follow-up records. The control group was given general anesthesia through inhalation combined with nasotracheal intubation, whereas the experimental group was given local anesthesia with 2% lidocaine on each treated tooth on the basis of general anesthesia. The basic information, preoperative anesthesia depth, hemodynamic changes during different surgical procedures, postoperative pain, and adverse reactions in the two groups were recorded and analyzed. RESULTS: No statistically significant difference was found in the basic information and preoperative anesthesia depth between the two groups (P>0.05). Among the three procedures (pulpotomy, root canal treatment, and tooth extraction), the three observed indicators in the experimental group were significantly lower than those in the control group (P<0.05). The proportion of patients in the experimental group who needed to take analgesic measures in accordance with the modified facial pain scale (FPS-R) score was significantly lower than that in the control group at postoperative wakefulness and 2 h after surgery (P<0.05). Meanwhile, no statistically significant difference was observed between the groups at 24 h after surgery (P>0.05). The proportion of patients in the experimental group who needed to take analgesic measures on the basis of the parent posto-perative pain measurement (PPPM) score was significantly lower than that in the control group when they were awake after surgery (P<0.05). No statistically significant difference was found between the groups at 2 and 24 h after surgery (P>0.05). Moreover, no statistically significant difference was observed in the incidence of adverse reactions between the two groups at 24 h after surgery (P>0.05). CONCLUSIONS The combination of local anesthesia during SECC dental treatment under general anesthesia results in minimal changes in intraoperative hemodynamics and mild postoperative pain response, hence worthy of clinical promotion.
Humans ; Anesthesia, General ; Child, Preschool ; Dental Caries/therapy* ; Pain, Postoperative/prevention & control* ; Anesthesia, Local/methods* ; Male ; Hemodynamics ; Female ; Lidocaine/administration & dosage* ; Child ; Anesthetics, Local/administration & dosage* ; Anesthesia, Dental/methods*

Objective: To review the current development of artificial intelligence (AI) technology in the field of transfusion medicine. Methods: A systematic search was conducted in the Clarivate Web of Science Database from inception to December 2024 for literature related to AI and transfusion. A total of 4 775 publications were identified. Based on inclusion and exclusion criteria, 133 original studies were ultimately included and analyzed using a narrative synthesis approach. Results: Research on AI in transfusion has surged since 2020 (accounting for 77% of all publications), with China ranking second globally in publication volume. Among the included studies, 69.2% focused on predicting individual transfusion needs, followed by inventory management (8.3%), diagnosis and prediction of adverse transfusion reactions (6.0%), factors influencing transfusion outcomes (5.3%), blood group identification (5.3%), blood quality testing (4.5%), and precise blood volume measurement (1.5%). Additionally, 4.5% of the studies were published in journals with an impact factor greater than 10; 19.5% developed software or applications; 31.5% were multi-center studies; 48.1% utilized decision tree methods, while 31.5% employed neural network approaches; and 14.2% conducted external validation of the algorithms. Conclusion: AI demonstrates significant potential in transfusion risk prediction, decision support, and blood management. However, challenges remain, including limited model generalizability, insufficient algorithm interpretability, and barriers to clinical translation. The deep integration of AI with transfusion medicine will accelerate the advent of precision transfusion era, maximizing blood resource utilization, reducing waste, and ensuring transfusion safety.