Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.

This study employed bioinformatics to screen the feature genes related to efferocytosis in diabetic kidney disease(DKD) and explores traditional Chinese medicine(TCM) regulating these feature genes. The GSE96804 and GSE30528 datasets were integrated as the training set, and the intersection of differentially expressed genes and efferocytosis-related genes(ERGs) was identified as DKD-ERGs. Subsequently, correlation analysis, protein-protein interaction(PPI) network construction, enrichment analysis, and immune infiltration analysis were performed. Consensus clustering was conducted on DKD patients based on the expression levels of DKD-ERGs, and the expression levels, immune infiltration characteristics, and gene set variations between different subtypes were explored. Eight machine learning models were constructed and their prediction performance was evaluated. The best-performing model was evaluated by nomograms, calibration curves, and external datasets, followed by the identification of efferocytosis-related feature genes associated with DKD. Finally, potential TCMs that can regulate these feature genes were predicted. The results showed that the training set contained 640 differentially expressed genes, and after intersecting with ERGs, 12 DKD-ERGs were obtained, which demonstrated mutual regulation and immune modulation effects. Consensus clustering divided DKD into two subtypes, C1 and C2. The support vector machine(SVM) model had the best performance, predicting that growth arrest-specific protein 6(GAS6), S100 calcium-binding protein A9(S100A9), C-X3-C motif chemokine ligand 1(CX3CL1), 5'-nucleotidase(NT5E), and interleukin 33(IL33) were the feature genes of DKD. Potential TCMs with therapeutic effects included Astragali Radix, Trionycis Carapax, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma, which mainly function to clear heat, replenish deficiency, activate blood, resolve stasis, and promote urination and drain dampness. Molecular docking revealed that the key components of these TCMs, including β-sitosterol, quercetin, and sitosterol, exhibited good binding activity with the five target genes. These results indicated that efferocytosis played a crucial role in the development and progression of DKD. The feature genes closely related to both DKD and efferocytosis, such as GAS6, S100A9, CX3CL1, NT5E, and IL33, were identified. TCMs such as Astragali Radix, Trionycis Carapa, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma may provide a new therapeutic strategy for DKD by regulating efferocytosis.
Humans ; Computational Biology ; Diabetic Nephropathies/physiopathology* ; Protein Interaction Maps ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Phagocytosis/genetics* ; Efferocytosis

OBJECTIVES: To evaluate the efficacy and safety of avatrombopag in promoting platelet engraftment after allogeneic hematopoietic stem cell transplantation (allo-HSCT) in children, compared with recombinant human thrombopoietin (rhTPO). METHODS: A retrospective analysis was conducted on 53 pediatric patients who underwent allo-HSCT at the Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences from April 2023 to August 2024. Based on medications used during the periengraftment period, patients were divided into two groups: the avatrombopag group (n=15) and the rhTPO group (n=38). RESULTS: At days 14, 30, and 60 post-transplant, platelet engraftment was achieved in 20% (3/15), 60% (9/15), and 93% (14/15) of patients in the avatrombopag group, and in 39% (15/38), 82% (31/38), and 97% (37/38) in the rhTPO group, respectively. There were no significant differences between the two groups in platelet engraftment rates at each time point, cumulative incidence of platelet engraftment, overall survival, and relapse-free survival (all P>0.05). Multivariable Cox proportional hazards analysis indicated that acute graft-versus-host disease was an independent risk factor for delayed platelet engraftment (P=0.043). CONCLUSIONS In children undergoing allo-HSCT, avatrombopag effectively promotes platelet engraftment, with efficacy and safety comparable to rhTPO, and represents a viable therapeutic option.
Humans ; Retrospective Studies ; Hematopoietic Stem Cell Transplantation/adverse effects* ; Male ; Female ; Child ; Child, Preschool ; Infant ; Adolescent ; Transplantation, Homologous ; Blood Platelets/drug effects* ; Thiazoles/therapeutic use* ; Thrombopoietin/therapeutic use* ; Thiophenes

OBJECTIVE: To investigate the effects of sarcopenia on therapeutic response and prognosis of newly diagnosed acute myeloid leukemia (AML) patients, and reveal its predictive value for the clinical outcomes of AML patients. METHODS: A total of 122 AML patients who were initially diagnosed and treated with induction chemotherapy at the Department of Hematology in the Affiliated Hospital of Nantong University from January 2017 to December 2020 were included in this study. The sarcopenia was diagnosed by measuring body composition parameters with multifrequency bioelectrical impedance analyzer, and all AML patients were divided into sarcopenia and non-sarcopenia groups. Kaplan-Meier curves and log-rank test were used to compare the survival difference between the two groups. The relationship between sarcopenia and overall survival (OS) of AML patients was further determined by the univariate and multivariate Cox regression analysis. RESULTS: Among 122 AML patients, 46 (37.7%) were diagnosed with sarcopenia before induction chemotherapy. The body mass index (BMI) of patients with sarcopenia was significantly lower than that of non-sarcopenia patients ( t =4.258, P <0.001), and the complete response (CR) and partial response (PR) rates of sarcopenia patients after induction chemotherapy were significantly lower than those of nonsarcopenia patients (χ²=6.348, P =0.042). Kaplan-Meier curves showed that sarcopenic patients had a shorter OS than non-sarcopenic patients, and the median OS of the two groups were 20.7 (95%CI : 12.6-27.8) months and 27.8 (95%CI : 22.3-31.9) months, respectively (χ²= 5.659, P =0.017). Subgroup analysis indicated that the median OS of sarcopenic and non-sarcopenic AML patients who received standard induction chemotherapy were 12.2 (95%CI : 5.4-24.7) months and 26.1 (95%CI : 16.7-35.4) months, respectively (χ²=3.949, P =0.047). The multivariate Cox regression analysis revealed that sarcopenia (HR=1.671, 95%CI : 1.034-2.701, P =0.036) was an independent predictor for poor prognosis in AML patients. CONCLUSION Sarcopenia is significantly associated with low response rate of induction chemotherapy and poor prognosis in AML patients, and it might be an useful tool for predicting the clinical outcome of AML patients.
Humans ; Sarcopenia/complications* ; Leukemia, Myeloid, Acute/diagnosis* ; Prognosis ; Male ; Female ; Induction Chemotherapy ; Middle Aged ; Body Mass Index ; Kaplan-Meier Estimate

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

Overtraining is a condition characterized by various functional disorders or pathological states caused by continuous fatigue, which occurs after a persisting imbalance between training-related load and physical function and recovery. Generally speaking, it’s a state of imbalance between training and recovery, exercise and exercise performance, and stress and stress tolerance. Overtraining can cause various phenotypic changes or pathological remodeling, such as decreased skeletal muscle strength and exhaustive exercise endurance, skeletal muscle fatigue damage and dysfunction, skeletal muscle atrophy and loss, skeletal muscle glycogen depletion, skeletal muscle soreness and stiffness, skeletal muscle glucose intolerance, inattention, memory decline, anxiety, depression, abnormal emotions and behaviors, sleep disorders, cognitive function impairment, poor appetite, weight loss, liver/heart fat deposition, compensatory increase of liver/heart insulin signaling and glycogen storage, cardiac pathological hypertrophy, exercise-induced arrhythmias, myocardial fibrosis, ectopic and visceral fat deposition, and increased risk of injury. Unfortunately, its underlying mechanism is largely unclear. Recently, the enrichment of molecular and cellular signal pathway theory offers us a new explanatory paradigm for revealing its internal mechanisms. Based on the traditional explanation mechanisms and molecular and cellular signal pathway theory, we thoroughly analyzed the key mechanisms of health damage caused by overtraining from the perspective of oxidative stress, mitochondrial quality control disorder, inflammatory response, endoplasmic reticulum stress, cell apoptosis, and so forth. Specifically, overtraining-induced excessive reactive oxygen species (ROS) leads to serious oxidative stress damage in organisms at least via depressing Kelch like ECH associated protein 1(Keap1)/nuclear factor erythroid-2-related factor (Nrf2)/antioxidant response element (ARE) antioxidant pathway and activating p38 mitogen-activated protein kinase (p38 MAPK) signaling pathway. Overtraining induces mitochondrial quality control disorder and mitochondrial dysfunction, and thus triggers health impairment through inhibiting mitochondrial biogenesis and fusion, stimulating mitochondrial fission, and over-activating autophagy/mitophagy. Overtraining can also produce muscle, skeletal and joint trauma, then circulating monocytes are abundantly activated by injury-related cytokines, and in turn generate large quantities of proinflammatory IL-1β, IL-6, TNF‑α, causing systemic inflammation and inflammatory health injury. Overtraining induces excessive pathological endoplasmic reticulum stress (ERS) and severe health damage via PERK-eIF2α, IRE1α-XBP1 and ATF6 pathways which activated by proinflammatory signals. Overtraining also induces excessive apoptosis and harmful health consequences via Bax/Bcl2-Caspase 3-mediated mitoptosis which activated by oxidative stress and inflammation or even CHOP and Caspase 12-dependent ERS apoptosis. Nonetheless, it should be importantly emphasized that oxidative stress and inflammation are the central and pre-emptive mechanisms of overtraining and its health damage. Although the efficient strategies for preventing and controlling overtraining are scientifically and reasonably arranging and planning training intensity, training volume, and recovery period, as well as accurately assessing and monitoring physical function status in the early stage, yet various anti-inflammatory, anti-oxidant, anti-apoptotic, or anti-aging drugs such as curcumin, astaxanthin, oligomeric proanthocyanidins, silibinin, hibiscus sabdariffa, dasatinib, quercetin, hydroxytyrosol, complex probiotics, astragalus polysaccharides, semaglutide and fasudil also have an irreplaceable positive effect on preventing overtraining and its relevant health damage via depressing oxidative stress, mitochondrial quality control disorder, proinflammatory signals, endoplasmic reticulum stress, apoptosis and so on. We hope that this review can help us further grasp the features, mechanisms and regularity of overtraining, and provide an important reference for athletes and sports fan to conduct scientific training, improve training effectiveness, extend exercise lifespan, and promote physical and mental health.

OBJECTIVE To explore the impact of placental polypeptide on the Runt-related transcription factor 3 （RUNX3）/ Notch signaling pathway in rats with cyclophosphamide-induced premature ovarian failure （POF）， and its effects on ovarian function and oxidative stress. METHODS A POF rat model was induced by intraperitoneal injection of cyclophosphamide. Sixty POF rats of the model were randomly assigned to model group， low-dose （1 mg/kg） and high-dose （2 mg/kg） placental polypeptide groups， placental polypeptide plus empty vector group [placental polypeptide （2 mg/kg）， empty vector （1 μg）]， and placental polypeptide plus RUNX3 silencing group [placental polypeptide （2 mg/kg）， RUNX3 small interfering RNA （1 μg）]， with 12 rats in each group. Additionally， 12 healthy rats were selected as a control group. The intervention lasted for 4 weeks for all groups. After the final administration， the levels of sex hormones [estradiol （E2）， anti-Müllerian hormone （AMH）， follicle- stimulating hormone （FSH）] in rat serum and oxidative stress indicators [malondialdehyde （MDA）， superoxide dismutase （SOD）， catalase （CAT）， reactive oxygen species （ROS）] in ovarian tissue were measured. The pathology of rat ovarian tissue and apoptosis of ovarian granulosa cells were examined； the expression of apoptosis-related proteins [caspase-3， cleaved-caspase-3， B-cell lymphoma-2 （Bcl-2）， Bcl-2 associated X protein （Bax）and RUNX3/Notch signaling pathway-related proteins in rat ovarian tissue were detected. RESULTS Compared with the model group， the low and high doses of placental polypeptide groups showed an increase in the number of normal follicles and a marked decrease in the number of atretic follicles， with significant increases in the serum levels of E2 and AMH， the ovarian tissue levels of SOD and CAT， as well as the expression levels of Bcl-2， RUNX3 and Notch1 proteins， and significant decreases in the serum FSH levels， the ovarian granulosa cell apoptosis rate， and the ovarian tissue levels of MDA and ROS， as well as the expression levels of cleaved-caspase-3， caspase-3 and Bax proteins （P＜0.05）； the changes in the high-dose group were significantly more pronounced （P＜0.05）. Compared with the high-dose placental polypeptide group and the placental polypeptide plus empty vector group， the placental polypeptide plus RUNX3 silencing group showed a decrease in the number of normal follicles and a significant reversal of the above indicators （P＜0.05）. CONCLUSIONS Placental polypeptide may alleviate the symptoms of rats with POF by upregulating the RUNX3/Notch signaling pathway， improving sex hormone secretion， oxidative stress， ovarian granulosa cell apoptosis and ovarian function.

Objective To analyze the incidence of venous thromboembolism(VTE)in pulmonary patients and explore the assessment and prevention of the risk of pneumonia accompanied VTE.Methods The patients with pneumonia were divided into control group(simple pneumonia)and treatment group(with VTE)according to the condition of VTE.Demographic data,blood routine,coagulation index,liver and kidney function index and blood gas index were collected.Statistical methods like chi square test,t-test and nonparametric rank sum test were applied to compare the differences between the two groups.Finally,the nomogram was established according to the logistic regression results and the receiver operating characteristic(ROC)curve was calculated.Results 106 cases in control group and 29 cases in treatment group.Univariate analysis showed that age,D-dimer,fibrinogen degradation products,white blood cell count,neutrophil count,albumin-globulin ratio were statistically significant(P＜0.05).Multivariate logistic regression analysis suggests that age[odds ratio(OR)=1.052],D-dimer(OR=2.339),and albumin/globulin(OR=0.042)are independent affecting factors for VTE in pneumonia patients.A nomogram was developed and ROC was calculated,the area under curve(AUC)was 0.754.Conclusion High age,elevated D-dimer and decreased albumin/globulin are independent risk factors for VTE in pneumonia patients.More over,the established prediction model has good accuracy.

Objective To explore growth velocity(GV)and analyze its influencing factors in children with idiopathic short stature(ISS)after treatment with polyethylene glycol recombinant human growth hormone(PEG-rhGH).Methods The clinical data of children with ISS were retrospectively analyzed.All children were given subcutaneous injection of PEG-rhGH(0.16-0.17 mg·kg-1 each week)at periumbilical,lateral upper arm and thigh sites for 1 year.The differences in growth parameters before and after treatment were observed,and GV after treatment was recorded.The influencing factors of GV at 1 year after treatment were analyzed by multivariate stepwise linear regression analysis.Results Before and after 1 year of treatment,height(Ht)was(109.51±12.59)and(123.16±13.07)cm,height standard deviation scores(HtSDS)were-2.24±0.25 and-1.71±0.21,GV levels were(3.81±0.52)and(9.88±1.04)cm·year-1,levels of 25-hydroxy-vitamin-D[25(OH)D]were(27.19±3.14)and(33.05±3.46)ng·mL-1,levels of propeptide of type I procollagen(PINP)were(490.29±54.30)and(598.45±57.18)μg·L-1,levels of insulin-like growth factor-1(IGF-1)were(114.86±19.14)and(213.73±20.03)ng·mL-1,levels of insulin-like growth factor binding protein-3(IGFBP-3)were(6 817.27±716.30)and(7 230.39±721.45)ng·mL-1,the differences were statistically significant(all P＜0.05).Before treatment,chronological age(CA),bone age(BA),bone age delay(BAD),bone age index(BAI)and mid-parental height(MPH)were(8.05±1.09)years,(7.14±1.01)years,(-0.98±0.18)years,0.86±0.12 and(167.31±5.73)cm,respectively.Pearson correlation analysis showed that GV level after treatment was negatively correlated with CA,BA and BAI before treatment,while positively correlated with BAD and MPH before treatment(P＜0.05).The results of multivariate stepwise linear regression analysis showed that high levels of CA,BA and BAI before treatment were risk factors of low GV level after PEG-rhGH treatment,while high levels of BAD and MPH before treatment were protective factors.Conclusion GV response is good in ISS children with low age at the beginning of PEG-rhGH treatment and bone age.Genetic targeted height can affect GV after treatment.