Background/Aims: Liver transplantation is the most effective treatment for the sickest patients with acute-on-chronic liver failure (ACLF). However, the influence of donor age on liver transplantation, especially in ACLF patients, is still unclear. Methods: In this study, we used the data of the Scientific Registry of Transplant Recipients. We included patients with ACLF who received liver transplantation from January 1, 2007, to December 31, 2017, and the total number was 13,857. We allocated the ACLF recipients by age intogroup I (donor age ≤17 years, n=647); group II (donor age 18–59 years, n=11,423); and group III (donor age ≥60 years, n=1,787). Overall survival (OS), graft survival, and mortality were com-pared among the three age groups and the four ACLF grades. Cox regression was also analyzed. Results: The 1-, 3-, and 5-year OS rates were 89.6%, 85.5%, and 82.0% in group I; 89.4%, 83.4%, and 78.2% in group II; and 86.8%, 78.4%, and 71.4% in group III, respectively (p<0.001).When we analyzed the different effects of donor age on OS with different ACLF grades, in groupsII and III, we observed statistical differences. Finally, the cubic spline curve told us that the relative death rate changed linearly with increasing donor age. Conclusions Donor age is related to OS and graft survival of ACLF patients after transplanta-tion, and poorer results were associated with elderly donors. In addition, different donor ages have different effects on recipients with different ACLF grades.

Background/Aims: Liver transplantation is the most effective treatment for the sickest patients with acute-on-chronic liver failure (ACLF). However, the influence of donor age on liver transplantation, especially in ACLF patients, is still unclear. Methods: In this study, we used the data of the Scientific Registry of Transplant Recipients. We included patients with ACLF who received liver transplantation from January 1, 2007, to December 31, 2017, and the total number was 13,857. We allocated the ACLF recipients by age intogroup I (donor age ≤17 years, n=647); group II (donor age 18–59 years, n=11,423); and group III (donor age ≥60 years, n=1,787). Overall survival (OS), graft survival, and mortality were com-pared among the three age groups and the four ACLF grades. Cox regression was also analyzed. Results: The 1-, 3-, and 5-year OS rates were 89.6%, 85.5%, and 82.0% in group I; 89.4%, 83.4%, and 78.2% in group II; and 86.8%, 78.4%, and 71.4% in group III, respectively (p<0.001).When we analyzed the different effects of donor age on OS with different ACLF grades, in groupsII and III, we observed statistical differences. Finally, the cubic spline curve told us that the relative death rate changed linearly with increasing donor age. Conclusions Donor age is related to OS and graft survival of ACLF patients after transplanta-tion, and poorer results were associated with elderly donors. In addition, different donor ages have different effects on recipients with different ACLF grades.

Background/Aims: Liver transplantation is the most effective treatment for the sickest patients with acute-on-chronic liver failure (ACLF). However, the influence of donor age on liver transplantation, especially in ACLF patients, is still unclear. Methods: In this study, we used the data of the Scientific Registry of Transplant Recipients. We included patients with ACLF who received liver transplantation from January 1, 2007, to December 31, 2017, and the total number was 13,857. We allocated the ACLF recipients by age intogroup I (donor age ≤17 years, n=647); group II (donor age 18–59 years, n=11,423); and group III (donor age ≥60 years, n=1,787). Overall survival (OS), graft survival, and mortality were com-pared among the three age groups and the four ACLF grades. Cox regression was also analyzed. Results: The 1-, 3-, and 5-year OS rates were 89.6%, 85.5%, and 82.0% in group I; 89.4%, 83.4%, and 78.2% in group II; and 86.8%, 78.4%, and 71.4% in group III, respectively (p<0.001).When we analyzed the different effects of donor age on OS with different ACLF grades, in groupsII and III, we observed statistical differences. Finally, the cubic spline curve told us that the relative death rate changed linearly with increasing donor age. Conclusions Donor age is related to OS and graft survival of ACLF patients after transplanta-tion, and poorer results were associated with elderly donors. In addition, different donor ages have different effects on recipients with different ACLF grades.

Background/Aims: Liver transplantation is the most effective treatment for the sickest patients with acute-on-chronic liver failure (ACLF). However, the influence of donor age on liver transplantation, especially in ACLF patients, is still unclear. Methods: In this study, we used the data of the Scientific Registry of Transplant Recipients. We included patients with ACLF who received liver transplantation from January 1, 2007, to December 31, 2017, and the total number was 13,857. We allocated the ACLF recipients by age intogroup I (donor age ≤17 years, n=647); group II (donor age 18–59 years, n=11,423); and group III (donor age ≥60 years, n=1,787). Overall survival (OS), graft survival, and mortality were com-pared among the three age groups and the four ACLF grades. Cox regression was also analyzed. Results: The 1-, 3-, and 5-year OS rates were 89.6%, 85.5%, and 82.0% in group I; 89.4%, 83.4%, and 78.2% in group II; and 86.8%, 78.4%, and 71.4% in group III, respectively (p<0.001).When we analyzed the different effects of donor age on OS with different ACLF grades, in groupsII and III, we observed statistical differences. Finally, the cubic spline curve told us that the relative death rate changed linearly with increasing donor age. Conclusions Donor age is related to OS and graft survival of ACLF patients after transplanta-tion, and poorer results were associated with elderly donors. In addition, different donor ages have different effects on recipients with different ACLF grades.

Objective To investigate the situation and influencing factors of preserved ratio impaired spirometry (PRISm) among dust-exposed workers in a wooden furniture manufacturing enterprise. Methods A total of 562 dust-exposed workers from a wooden furniture enterprise in Guangdong Province were selected as the study subjects using the convenience sampling method. The result of health-status questionnaire and occupational medical examinations among the participants were studied, and the influencing factors of PRISm were studied using the binary logistic regression analysis method. Results The detection rate of PRISm was 22.1% (124/562) among the study subjects. Binary logistic regression result showed that male workers had a higher risk of PRISm than female workers (P<0.01). Current smokers had a higher risk of PRISm than non-smokers (P<0.05). Workers with longer duration of exposure to occupational hazards had a higher risk of PRISm (P<0.05), those with higher grade of small-airway dysfunction had a higher risk of PRISm (P<0.01). In terms of body mass index, overweight or obese workers showed a higher detection rate of PRISm than those with normal weight (P<0.01). Greater amount of smoking pack per year had a higher risk of PRISm (P<0.01). Conclusion Dust-exposed workers in the wooden furniture manufacturing industry show a relatively high detection rate of PRISm. Male, current smoker, longer duration of exposure to occupational hazards, small airway dysfunction, overweight or obese, and smoking pack per year are influencing factors of PRISm among the dust-exposed workers in the wooden furniture manufacturing industry.

ObjectiveTo explore the relationship between self-assessed health and age-adjusted Charlson comorbidity index （AICC） in older adults， and to further analyze the differences in this relationship across gender groups. MethodsBased on the China health and retirement longitudinal study （CHARLS） database， this study selected data on basic characteristics， chronic disease status， depressive symptoms， and self-assessed health of older adults aged ≥60 years. Chi-square tests were used to perform a preliminary analysis of the association between these factors and AICC scores. A multifactorial ordered logistic regression model was constructed to assess the effects of each influencing factor on AICC， while multiple linear regression analysis was used to explore the linear relationship between self-rated health and AICC scores. Additionally. Stratified analysis by gender was performed to evaluate gender differences. ResultsA total of 10 911 participants were included， with a mean age of 67.40±5.94 years； 6 249 （57.3%） were male and 4 662（42.7%） were female. The distribution of AICC scores was categorized into low-risk， moderate-risk， higher-risk， and high-risk groups， accounting for 23.5%， 50.2%， 20.6%， and 5.7%， respectively. Multifactorial logistic regression analysis revealed that self-rated health was negatively associated with AICC in the total population and in the male geriatric group （OR=0.843， 95% CI： 0.776， 0.917， P=0.001）， （OR=0.886， 95% CI： 0.796 ， 0.987， P=0.028）， but did not reach statistical significance in the female geriatric group . Linear regression analysis further indicated a significant negative linear relationship between self-rated health and AICC （b=-0.485， 95% CI： -0.516，-0.455， P＜0.001）.This relationship was consistent in both male （b=-0.356， 95% CI： -0.406，-0.305， P＜0.001） and female （b=-0.373， 95% CI： -0.435，-0.310， P＜0.001） subgroups， with a stronger negative association in females. ConclusionSelf-rated health is significantly negatively associated with AICC， and attention should be given to self-rated health in the female geriatric population. Self-rated health can serve as an important tool for identifying elderly group at high risk of comorbidities providing a valuable basis for precise intervention.

As people's living standards improve， the development trend of diabetes has gradually become severe. Diabetes is a chronic inflammatory disease associated with abnormal expression of nuclear factor-kappa B （NF-κB） in patients. NF-κB exists in various tissue cells and participates in the regulation of a variety of genes related to immune function and inflammation. Varieties of factors can activate NF-κB when the body is stimulated by external factors， so as to produce inflammation and other reactions. Previous studies on NF-κB mainly focus on cancer， and the pathological mechanism of the treatment of diabetes by related signaling pathways and the progress of traditional Chinese medicine （TCM） treatment have not been systematically elaborated on. By referring to the relevant literature in China and abroad， it was found that NF-κB is not isolated in the development and progression of diabetes but is associated with signal molecules related to inflammation， oxidative stress， and energy metabolism， and it is involved in mediating inflammation， pancreatic β cell apoptosis， insulin signal transduction， and other physiological functions. Therefore， blocking the transmission of NF-κB signaling pathway is beneficial to the treatment of diabetes. At present， Western medicine for the treatment of diabetes mainly includes oral hypoglycemic drugs and insulin injections， but the adverse reactions are obvious. TCM has been characterized by multi-target， extensive action， and excellent curative effects in the treatment of diabetes. TCM and its compounds with functions of tonifying Qi and promoting blood circulation， regulating qi and eliminating phlegm， clearing heat and detoxifying， and nourishing Yin and moistening dryness can effectively intervene in the abnormal expression of NF-κB signaling pathway in vivo through anti-inflammatory effects. In this paper， the association between NF-κB signaling pathway and diabetes was summarized， and the modern research progress of TCM intervention of NF-κB signaling pathway in the treatment of diabetes in the past five years was reviewed， so as to lay a laboratory foundation for the study of a new pathological mechanism of diabetes based on NF-κB signaling pathway and provide new targets and research direction for the prevention and treatment of diabetes and development of related TCM.

Objective:To investigate the effect of immune checkpoint inhibitors on reducing residual lymph node metastasis in patients with gastric cancer.Methods:The cohort of this retrospective study comprised patients from Nanfang Hospital of Southern Medical University and the First Affiliated Hospital of Xiamen University who had undergone systemic treatment prior to gastrectomy with D2 lymphadenectomy and had achieved Grade 1 primary tumor regression (TRG1) from January 2014 to December 2023. After exclusion of patients who had undergone preoperative radiotherapy, data of 58 patients (Nanfang Hospital: 46; First Affiliated Hospital of Xiamen University: 12) were analyzed. These patients were allocated to preoperative chemotherapy (Chemotherapy group, N=36 cases) and preoperative immunotherapy plus chemotherapy groups (Immunotherapy group, N=22 cases). There were no significant differences between these groups in sex, age, body mass index, diabetes, tumor location, pathological type, Lauren classification, tumor differentiation, pretreatment depth of invasion by primary tumor, pretreatment lymph node stage, pretreatment clinical stage, mismatch repair protein status, number of preoperative treatment cycles, or duration of preoperative treatment (all P>0.05). The primary outcome measure was postoperative lymph node downstaging. Secondary outcomes included postoperative depth of invasion by tumor, number of lymph nodes examined, and factors affecting residual lymph node metastasis status. Results:Lymph node downstaging was achieved significantly more often in the Immunotherapy group than the Chemotherapy group (pN0: 90.9% [20/22] vs. 61.1% [22/36]; pN1: 4.5% [1/22] vs. 36.1% [13/36]; pN2: 4.5% [1/22) vs. 0; pN3: 0 vs. 2.8% [1/36], Z=-2.315, P=0.021). There were no significant difference between the two groups in number of lymph nodes examined (40.5±16.3 vs. 40.8±17.5, t=0.076, P=0.940) or postoperative depth of invasion by primary tumor (pT1a: 50.0% [11/22] vs. 30.6% [11/36]; pT1b: 13.6% [3/22] vs. 19.4% [7/36]; pT2: 13.6% [3/22] vs. 13.9% [5/36]; pT3: 13.6% [3/22] vs. 25.0% [9/36]; pT4a: 9.1% [2/22] vs. 11.1% [4/36], Z=-1.331, P=0.183). Univariate analysis revealed that both preoperative treatment regimens were associated with residual lymph node metastasis status in patients whose primary tumor regression was TRG1 (χ 2=6.070, P=0.014). Multivariate analysis incorporated the following factors: pretreatment depth of invasion by primary tumor, pretreatment lymph node stage, pretreatment clinical stage, number of preoperative treatment cycles, and preoperative treatment duration. We found that a combination of immunotherapy and chemotherapy administered preoperatively was an independent protective factor for reducing residual lymph node metastases in study patients whose primary tumor regression was TRG1 (OR=0.147, 95%CI: 0.026–0.828, P=0.030). Conclusion:Compared with preoperative chemotherapy alone, a combination of preoperative immunotherapy and chemotherapy achieved greater reduction of residual lymph node metastases in the study patients who achieved TRG1 tumor regression in their primary lesions.

Objective:To summarize the clinical, pathological and molecular characteristics of various types of pediatric glioma, and to explore the differences in the morphology and clinical significance among various types of pediatric glioma.Methods:Based on the fifth edition of the World Health Organization classification of central nervous system tumors, this study classified or reclassified 111 pediatric gliomas that were diagnosed at Guangzhou Medical University Affiliated Women and Children′s Medical Center from January 2020 to June 2023. The clinical manifestations, imaging findings, histopathology, and molecular characteristics of these tumors were analyzed. Relevant literature was also reviewed.Results:The 111 patients with pediatric glioma included 56 males and 55 females, with the age ranging from 10 days to 13 years (average age, 5.5 years). Clinically, manifestations presented from 5 days to 8 years before the diagnosis, including epilepsy in 16 cases, increased intracranial pressure in 48 cases and neurological impairment in 66 cases. MRI examinations revealed tumor locations as supratentorial in 43 cases, infratentorial in 65 cases, and spinal cord in 3 cases. There were 73 cases presented with a solid mass and 38 cases with cystic-solid lesions. The largest tumor diameter ranged from 1.4 to 10.6 cm. Among the 111 pediatric gliomas, there were 6 cases of pediatric diffuse low-grade glioma (pDLGG), 63 cases of circumscribed astrocytoma glioma (CAG), and 42 cases of pediatric diffuse high-grade glioma (pDHGG). Patients with pDLGG and CAG were younger than those with pDHGG. The incidence of pDLGG and CAG was significantly lower in the midline of the infratentorial region compared to that of pDHGG. They were more likely to be completely resected surgically. The pDLGG and CAG group included 4 cases of pleomorphic xanthoastrocytoma, showing histological features of high-grade gliomas. Among the high-grade gliomas, 13 cases were diffuse midline gliomas and also showed histological features of low-grade glioma. Immunohistochemical studies of H3K27M, H3K27ME3, p53, ATRX, BRAF V600E, and Ki-67 showed significant differences between the pDLGG and CAG group versus the pDHGG group ( P<0.01). Molecular testing revealed that common molecular variations in the pDLGG and CAG group were KIAA1549-BRAF fusion and BRAF V600E mutation, while the pDHGG group frequently exhibited mutations in HIST1H3B and H3F3A genes, 1q amplification, and TP53 gene mutations. With integrated molecular testing, 2 pathological diagnoses were revised, and the pathological subtypes of 35.3% (12/34) of the pediatric gliomas that could not be reliably classified by histology were successfully classified. Conclusions:There are significant differences in clinical manifestations, pathological characteristics, molecular variations, and prognosis between the pDLGG, CAG and pDHGG groups. The integrated diagnosis combining histology and molecular features is of great importance for the accurate diagnosis and treatment of pediatric gliomas.

【Objective】 To investigate the effect of clinical factors and inflammatory markers on platelet transfusion refractoriness (PTR) in children with chemotherapy- induced thrombocytopenia (CIT) and evaluate their predictive value, so as to provide reference for mechanism study of PTR caused by non-immune factors in children with cancer and provide clinical guidance for reasonable and effective platelet transfusion in children. 【Methods】 A total of 60 CIT pediatric cancer patients from Children’s Hospital, Zhejiang University School of Medicine between November 2022 and February 2024 were selected as the study subjects, and divided into the PTR group (n=30) and the non-PTR group (n=30) to collect the clinical data and laboratory markers before platelet transfusion (Plt). Univariate and multivariate logistic regression analysis was used to analyze the influencing factors of PTR. The predictive value influencing factors of PTR was analyzed by receiver operating characteristic (ROC) curve. 【Results】 Plasma IL-1β concentration in PTR group was significantly higher than that in non-PTR group[67.43 pg/mL (29.38, 222.40) vs 36.38 pg/mL (17.27, 68.06); P<0.05]; plasma IL-8 concentration in PTR group was significantly higher than that in non-PTR group[60.97 pg/mL (39.07, 112.00) vs 25.23 pg/mL (5.00, 71.38); P<0.01]; and the interval from initiation of chemotherapy to platelet transfusion was significantly higher in the PTR group than in the non-PTR group[9.5 d (8.0, 12.0) vs 12.0 d (9.8, 13.2); P<0.05]. Multivariate logistic regression analysis showed that IL-8 concentration (OR=1.05, P<0.05) had a statistically significant effect on the occurrence of PTR. ROC curve analysis showed that plasma IL-1β concentration (Cut-off value: 64.88 pg/mL; AUC: 0.653[95% CI: 0.511-0.796]) and plasma IL-8 concentration (Cut-off value: 33.33 pg/mL; AUC: 0.754[95% CI: 0.631-0.878]) and the interval from initiation of chemotherapy to platelet transfusion (Cut-off value: 11.5 days; AUC: 0.669[95% CI: 0.529-0.810]) were statistically significant in predicting PTR. 【Conclusion】 Plasma IL-8 concentration is an independent risk factor for PTR, and plasma IL-1β, IL-8 concentration and interval from initiation of chemotherapy to platelet transfusion have predictive value for PTR.