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.

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.

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 pa-tient 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 scientifical-ly rational,multi-cancer screening approach offers several advantages:it optimizes the use of bio-logical samples,reduces time costs for participants,enhances the efficiency and comprehensive-ness 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 interna-tional 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 detec-tion rates,and provide a scientific foundation for national cancer prevention and control strategies.

Malignant tumors(commonly referred to as cancers)represent a major global public health challenge and contribute substan-tially to the global disease burden.Early screening plays a crucial role in improving detection rates,enabling timely intervention,and enhan-cing patient survival.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 the time burden for participants,enhances the efficiency and comprehensiveness of screening,and min-imizes overall expenses.Moreover,this approach facilitates rational allocation of healthcare resources,ultimately helping to reduce the soci-etal burden of cancer.To address gap,the Cancer Epidemiology Committee of the China Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers.This consensus integrates multidisciplinary expertise and synthesizes the latest do-mestic and international researches on cancer screening,early detection,and treatment of prevalent malignancies.Drawing upon China's unique demographic and healthcare context and 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 prin-ciples 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 The optimum formulation process was selected to prepare the ethosomes of Cortex Dictamni-Fructus Kochiae,and its prescription was verified and its properties were studied.Methods The formulation was optimized by single factor and response surface test.The appearance,particle size,Zeta potential and stability were investigated.The encapsulation rate was used as the evaluation index.Results The optimum preparation process of ethosomes of Cortex Dictamni-Fructus Kochiae is as follows:Using the dosage of lyophilized powder 409.06 mg,soybean lecithin 258.07 mg,cholesterol 90.87 mg,ethanol volume fraction 22.76％,stirred for 2 hours at 700 r·min-1 at 50 ℃ water bath temperature,The appearance of the prepared ethosomes suspension was light yellow,and the particles were nearly spherical in shape.The average particle size was(103.1±0.78)nm,the Zeta potential was(-36.0±3.65)mV,and the average encapsulation rates of Xibutanone,ash,and saponin Ⅰc were(89.25±0.91)％,(80.16±1.52)％,(86.59±0.58)％,respectively.After 14 days of storage at room temperature,the results showed that:The ethosomal suspension is still a light yellow,uniform,and stable liquid,and there is no stratified precipitation phenomenon.Conclusion The method of ethanol injection is easy to operate,high encapsulation rate and good stability,which lays a foundation for further study on the skin administration of this preparation.

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 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.

Objective To analyze and clarify the concept of family communication collective efficacy in hospitalized patients.Methods A systematic search was conducted in databases including China National Knowledge Infrastructure(CNKI),VIP Database,WanFang Database,PubMed Database and Web of Science(WOS)for studies related to family communication efficacy.The search timeframe spanned from the inception of each database to December 2024.Rodgers'evolutionary concept analysis method was applied to analyze the retrieved literature.Results A total of 40 articles were included.The analysis shows that the evolution process of the concept of family collective communication efficacy in hospitalized patients was introduced,encompassing the evolution of the family communication concept and the intersection and integration of family systems theory and collective efficacy theory.Family communication collective efficacy in hospitalized patients was characterized by four attributes:shared beliefs,emotional support,role allocation and coordination,and an integrated communication system.Its antecedents included factors such as sources of efficacy information,family member characteristics,and family team characteristics.The consequences were observed at three levels:individual,family,and healthcare system,including manifesting as bidirectional influences on individual health outcomes,family functioning,and healthcare quality improvement.Conclusions The core attributes of family communication collective efficacy in hospitalized patients were clarified through concept analysis.In the future,localized assessment tools should be developed based on these attributes to facilitate the implementation and evaluation of interventions aimed at enhancing family communication collective efficacy.

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.