ObjectiveTaking Aurantii Fructus Immaturus juice（AFI）-processed Atractylodis Macrocephalae Rhizoma（AMR） as an example， this study aims to systematically compare the volatile and non-volatile components of AMR and its processed products， investigate the key differential components， evaluate their anti-inflammatory activities， and elucidate the synergistic mechanism of processing. MethodsThe chemical compositions of volatile and non-volatile components in AMR and AFI-processed AMR were systematically characterized using gas chromatography-mass spectrometry（GC-MS） and ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， with relative mass fractions and response values determined separately. Volatile components were identified through searches in the National Institute of Standards and Technology（NIST）17 database， comparison with retention index（RI） and fragmentation pattern matching. Non-volatile components were identified by searching Waters Traditional Chinese Medicine （TCM） spectral library， in conjunction with PubChem and MassBank， characteristic fragmentation patterns and response values were also used to support identification. Differential components were screened using principal component analysis（PCA）， orthogonal partial least squares-discriminant analysis（OPLS-DA）， with variable importance in the projection（VIP） value >1. Components with high log₂fold change（FC） among major differential groups were selected as those exhibiting significant changes before and after processing. The anti-inflammatory activity of the differential compounds was evaluated by assessing their effects on nitric oxide（NO） production in a lipopolysaccharide（LPS）-induced RAW264.7 macrophage model. Enzyme-linked immunosorbent assay（ELISA） was used to detect the effects of the differential components on tumor necrosis factor（TNF）-α， interleukin（IL）-1β， IL-6， and monocyte chemotactic protein（MCP）-1 levels， and immunofluorescence（IF） was employed to assess their effects on nuclear transcription factor（NF）-κB p65 translocation， thereby elucidating the underlying molecular mechanisms. ResultsA total of 36 compounds were identified in the volatile components of AMR and AFI-processed AMR， among which， sesquiterpenes and monoterpenes were significantly increased after processing. In the non-volatile components， 36 compounds were identified， and the main differential components were flavonoids， sesquiterpenoids， and triterpenoids. Flavonoids were the primary differential components distinguishing AMR from its processed products， representing compounds directly introduced during processing. Five compounds， including atractylenolide Ⅲ， tangeritin， nobiletin， hesperidin and narirutin， were selected as representatives of three classes based on their most prominent differential expression among different compound types for subsequent anti-inflammatory activity studies. The results showed that 100 μmol·L^-1 tangerine and narirutin could significantly inhibit LPS-induced NO production（P<0.01） in a concentration-dependent manner. Tangeritin was able to significantly inhibit the levels of TNF-α and MCP-1 secreted by RAW264.7（P<0.05）， while narirutin significantly inhibited the levels of TNF-α， IL-1β， MCP-1 and IL-6（P<0.01）. IF revealed that both tangeritin and narirutin significantly blocked the translocation of NF-κB p65 from the cytoplasm to the nucleus. ConclusionAFI-processed AMR significantly alters the chemical composition profile of AMR， and the newly introduced flavonoid components during processing may be key to its enhanced anti-inflammatory effects.

Patients with sudden deafness encounter greater psychological challenges and communication barriers after experiencing sudden hearing loss， and traditional medical models often fail to adequately address their unique needs. This paper analyzed the current situation of emotional and behavioral changes in patients with sudden deafness， and the gap between their expectations and the reality of medical care. From the perspective of narrative medicine， the theory and characteristics of the reconstruction of the doctor-patient relationships in patients with sudden deafness were explored. The results showed that narrative medicine can enhance patients’ emotional resonance and understanding， improve the efficiency and quality of doctor-patient communication， promote the formulation of personalized treatment plans， and enhance treatment adherence and satisfaction. Based on these results， strategies and pathways for the reconstruction of doctor-patient relationships for patients with sudden deafness were proposed， including building empathetic bridges and tapping into mechanisms of emotional resonance within narrative medicine； optimizing communication strategies and promoting the application of narrative techniques in doctor-patient dialogues； connecting narrative pathways and advocating the exploration of stories and strategies in personalized treatments； as well as facilitating treatment adherence and making full use of the psychodynamic effects of narrative medicine. Narrative medicine， as a patient-centered medical practice， can effectively promote the reconstruction of doctor-patient relationships， enhance treatment effectiveness， and offer a more humane treatment experience for patients.

Objective:Exploring the association rules of factors influencing high hospitalization costs for cancer patients, providing references for hospitals to optimize medical cost management measures.Methods:In the inpatient case information system of a tertiary general hospital, the medical record homepages of inpatients in the DRG groups of the oncology department in 2022 were obtained. The upper four scores of hospitalization costs was used as the threshold for patient grouping. Patients with hospitalization costs≥this threshold were the high-cost group, while other patients were control group; 12 factors, including age, gender, and admission condition, etc, were considered as potential influencing factors of high hospitalization costs. FP-Growth and Apriori algorithms were used to excavate the potential association rules between the influencing factors of high hospitalization costs. Logistic regression was used to analyze the independent influencing factors of high hospitalization costs.Results:A total of 5 512 hospitalized patients were included, including 1 378 patients in the high-cost group. Thirteen validated strong association rules for factors influencing high hospitalization costs were obtained, of which the rule antecedents included age (≥70 years), number of days in hospital (≥7 days), other diagnoses (≥5), surgery, planned readmission, use of antibiotics, admission (general/critical), living admission score (61~99), level of care (level 1/level 2), non-day ward, criticality during hospitalisation. Logistic regression results showed that all nine influencing factors except gender, use of antibiotics, and readmission plans were independent influences on high hospitalization costs ( P<0.05). Conclusions:The joint application of FP-Growth and Apriori algorithm could effectively explore the association rules of high hospitalization costs for oncology patients. The early warning information mainly included the number of hospitalization days, the number of other diagnoses, surgeries, and so on. It was suggested that medical institutions can reasonably control the high hospitalization costs through clinical pathway management, diagnosis and treatment process reengineering, admission risk assessment, and multidisciplinary collaborative diagnosis and treatment strategies.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Background: Acetaminophen (APAP)-induced hepatotoxicity has attracted considerable attention in clinical settings due to the limited treatment options available. Liensinine stands out as a key alkaloid known for its pharmaceutical activities. However, the role of liensinine in mitigating APAP-induced liver injury remains unclear. Objective: The aim of the study was to explore the protective effects of liensinine against APAP-induced liver injury. Methods: C57BL/6 male mice were treated with a dose of 200 mg/kg N-acetylcysteine or varying doses of liensinine (10 or 20 mg/kg) for seven consecutive days. APAP (400 mg/kg, i.g.) was then administered to induce liver damage for 12 hours. Blood samples and hepatic tissues were collected for further analysis. Liver enzyme levels and histopathological analysis were employed to assess liver injury. RNA-seq was conducted to evaluate the dynamic changes in gene expression. Biochemical assays were used to measure oxidative stress and inflammation, while the TUNEL assay was performed to assess hepatocyte apoptosis. Results: The results demonstrated that the administration of liensinine mitigated serum liver enzyme levels and tissue damage resulting from APAP overdose. Transcriptome analysis revealed significant and coordinated changes in genes related to the peroxisome proliferator-activated receptor signaling pathway, mitogen-activated protein kinase signaling pathway, and apoptosis pathway in response to APAP-induced hepatotoxicity. The expression alterations of key genes within these three pathways, associated with inflammation, oxidative stress, and cell apoptosis, were reversed by liensinine, indicating its potential in alleviating APAP-induced liver damage through multiple signaling pathways. This suggests the diverse therapeutic effects of liensinine, including inflammation suppression, oxidative stress reduction, and cell apoptosis inhibition. Indeed, pretreatment with liensinine effectively reduced inflammatory cytokines, oxidative stress indicators, and apoptotic cells induced by APAP. Conclusions: Liensinine mitigates APAP-induced hepatotoxicity in mice through multifaceted pathways, providing anti-inflammatory, antioxidant, and anti-apoptotic benefits.

Objective:To analyze the incidence, mortality, survival patterns, and distribution characteristics of modifiable risk factors for colorectal cancer in selected global regions.Methods:Secondary analysis was conducted using data from the GLOBOCAN database and previous literature. We described the number of cases and age-standardized rates (ASRs) of incidence and mortality for colorectal cancer in China, the United States, the United Kingdom, and globally in 2022 and 2020, with gender-stratified analysis. ASRs were calculated using Segi's world standard population. Temporal trends in 5-year net survival rates were compared across three periods (2000-2004, 2005-2009, 2010-2014) among countries. Regional distribution differences in colorectal cancer deaths attributable to modifiable risk factors by gender were assessed in China.Results:In 2022, global colorectal cancer incidence and mortality were estimated at 1.926 million new cases and 904 000 deaths. China accounted for 27% of both global incidence (517 000 cases) and mortality (240 000 deaths). China's age-standardized incidence rate (20.1 per 100 000) was lower than those of the United States (27.0 per 100 000) and the UK (30.9 per 100 000). However, China's mortality rate (8.6 per 100 000) exceeded that of the US (7.9 per 100 000) but was lower than the UK (11.8 per 100 000). Compared to 2020, China demonstrated significant mortality reductions in 2022: males declined from 14.8 to 10.9 per 100 000, females from 9.4 to 6.5 per 100 000. Five-year net survival rates in China improved across periods for colon cancer (51.4%, 55.6%, 57.6%) and rectal cancer (49.5%, 52.5%, 56.9%), yet remained consistently lower than US and UK rates. Modifiable risk factors contributed to 45.1% of male and 41.4% of female colorectal cancer deaths in China, with marked regional disparities.Conclusions:China exhibits higher colorectal cancer incidence and mortality than global averages, with survival gaps persisting compared to developed nations. Regionally tailored comprehensive prevention strategies are essential to reduce disease burden through risk factor modification and optimized clinical management.

Malignant tumors (commonly referred to as cancer) represent a major global public health challenge and contribute significantly to the worldwide disease burden. Early screening plays a critical role in improving detection rates, enabling timely intervention, and enhancing patient survival rates. However, current cancer screening guidelines primarily focus on site-specific screening, which may not fully address the need for comprehensive early detection. A scientifically rational, multi-cancer screening approach offers several advantages: it optimizes the use of biological samples, reduces time costs for participants, enhances the efficiency and comprehensiveness of screening, and minimizes overall expenses. Such an approach also facilitates the rational allocation of healthcare resources, ultimately helping to reduce the societal burden of cancer. To address this need, the Cancer Epidemiology Committee of the Chinese Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers in China. This consensus integrates multidisciplinary expertise and synthesizes the latest domestic and international researches on cancer screening, early detection, and treatment for prevalent malignancies. Drawing upon China's unique demographic and healthcare context, as well as practical screening experiences, the consensus provides evidence-based recommendations on target populations, screening technologies, and procedural workflows for multi-cancer screening. These guidelines align with the principles and methodologies established by the World Health Organization (WHO), aiming to enhance the effectiveness of combined cancer screening in China, improve early detection rates, and provide a scientific foundation for national cancer prevention and control strategies.

Objective To explore the clinical experience of Professor Wang Yan'gang in treating gastroesophageal reflux disease(GERD)using data mining methods.Methods SPSS 23.0 was used to statistically analyze the frequency,properties,flavors,and meridian tropism of Chinese herbal medicines in the prescriptions of effective GERD cases treated by Professor Wang Yan'gang in outpatient clinics from January 2020 to December 2022.Cluster analysis,factor analysis,and association rule analysis were performed on the relevant drugs.Results A total of 294 outpatient prescriptions for the treatment of GERD were collected,including 174 Chinese herbal medicines.The top 10 frequently-used drugs were Sepiae Endoconcha(Haipiaoxiao),Fritillariae Thunbergii Bulbus(Zhebeimu),Scutellariae Radix(Huangqin),Coptidis Rhizoma(Huanglian),Pinelliae Rhizoma Praeparatum Cum Alumine(Qingbanxia),Arecae Semen Tostum(Chaobinglang),Artemisiae Scopariae Herba(Yinchen),Gypsum Fibrosum(Shigao),Aurantii Fructus Immaturus(Zhishi),and Magnoliae Officinalis Cortex(Houpo).After cluster analysis,factor analysis,and association rule analysis,16 commonly-used herb pairs,such as Huangqin-Huanglian,Citri Reticulatae Pericarpium(Chenpi)-Zhuru(Bambusae Caulis in Taenia),Haipiaoxiao-Zhebeimu,Shichangpu(Acori Tatarinowii Rhizoma)-Yujin(Curcumae Radix),and Zhishi-Houpo were identified,and 9 herb groups such as"Huangqin,Huanglian,Yinchen"and"Chenpi,Zhuru,Qingbanxia"were obtained.Factor analysis was performed on 22 drugs with a usage frequency more than 110 times,and then 6 common factors were extracted after principal component analysis.Conclusion In differentiating and treating GERD,Professor Wang Yan'gang suggests that stagnated heat injuring yin should be taken as the core pathogenesis,and therapy of clearing heat and nourishing yin should be used as the core treatment method.Additionally,auxiliary methods such as soothing the throat,regulating the liver and stomach,and nourishing the heart and spirit can be adopted according to the accompanying symptoms during the disease progression.

Objective:To observe the application effect of nursing risk management based on PDCA (plan, do, check, action) cycle quality control concept on patients with diabetic ketoacidosis, and provide reference for improving the nursing quality of diabetic ketoacidosis.Methods:A historical control study was adopted. Using simple random sampling method, patients with diabetic ketoacidosis admitted to Emergency Intensive Care Unit of Lishui Central Hospital from January 2019 to March 2020 were selected as the research subjects, patients admitted from January to September 2019 were treated as the control group and received routine care, while patients admitted from October 2019 to March 2020 were treated as the experimental group and received nursing risk management based on PDCA cycle quality control concept. Blood glucose control time, urine ketone negative conversion time, acidosis correction time, hospital stay, occurrence of complications, depression and anxiety scores, nursing quality and nursing satisfaction were compared between the two groups after intervention.Results:A total of 89 patients were included. There were 43 patients in the control group, including 16 males and 27 females, aged (64.37 ± 15.85) years old; 46 patients in the experimental group, including 23 males and 23 females, aged (59.28 ± 13.66) years old. Before intervention, there were no significant differences in depression and anxiety scores between 2 groups (both P<0.05). After intervention, the blood glucose control time, urine ketone negative conversion time, acidosis correction time and hospital stay were (9.24 ± 1.26), (38.39 ± 3.28), (12.23 ± 1.39) h and (11.34 ± 2.28) d in the experimental group, shorter than (9.94 ± 1.40), (40.12 ± 3.67), (13.66 ± 2.47) h and (13.62 ± 3.40) d in the control group, the differences were statistically significant ( t values were 2.35-3.74, all P<0.05). The occurrence of complications, depression and anxiety scores in the experimental group were 13.04% (6/46), (3.18 ± 0.37) points, (4.69 ± 1.33) points, lower than 30.23% (13/43), (3.72 ± 0.96) points, (5.77 ± 1.60) points in the control group, the differences were statistically significant ( χ2=3.91, t=3.55, 3.47, all P<0.05). The total score of nursing quality and nursing satisfaction in the experimental group were (82.91 ± 4.22), (89.02 ± 4.95) points, higher than (76.86 ± 5.01), (81.14 ± 7.89) points in the control group, the differences were statistically significant ( t=6.18, 5.68, both P<0.05). Conclusions:Nursing risk management based on PDCA cycle quality control concept can shorten the treatment time of patients with diabetic ketoacidosis, reduce the risk of complications, ensure the nursing quality, relieve the negative emotions during hospitalization, and improve satisfaction of patients.