Objective To investigate the structural changes and influencing factors of the average inpatient cost per admis-sion in public hospitals in Guangdong Province.Methods Grey relational analysis and structural variation degree analysis were used to analyze the correlation and changes between the average inpatient cost per admission and various cost components in public hospitals of Guangdong Province from 2017 to 2023.Results The average inpatient cost per admission in public hospitals of Guangdong Province showed an overall upward trend from 2017 to 2023,with an average annual growth rate of 3.84％.Among the components,laboratory test fees and examination fees grew at average annual rates of 6.17％and 6.68％,respectively.The top four cost components with the highest grey relational degree with the average inpatient cost were laboratory test fees(0.867),exam-ination fees(0.835),nursing fees(0.784),and treatment fees(0.728).The top four components with the largest structural vari-ation values were surgery fees(2.57％),medical material fees(1.77％),laboratory test fees(1.56％),and examination fees(1.45％).Conclusion The growth of the average inpatient cost per admission has slowed,and the cost structure has been opti-mized to some extent.However,the relatively rapid increase in laboratory test and examination fees has a significant impact on the cost structure.It is necessary to deepen the coordinated governance of healthcare,medical insurance,and medicine,strengthen the leveraging role of medical insurance payment,improve the external governance system and scientific compensation mechanism,and combine these with refined hospital management to promote reasonable cost control and high-quality development in public hospitals.

Objective To investigate the structural changes and influencing factors of the average inpatient cost per admis-sion in public hospitals in Guangdong Province.Methods Grey relational analysis and structural variation degree analysis were used to analyze the correlation and changes between the average inpatient cost per admission and various cost components in public hospitals of Guangdong Province from 2017 to 2023.Results The average inpatient cost per admission in public hospitals of Guangdong Province showed an overall upward trend from 2017 to 2023,with an average annual growth rate of 3.84％.Among the components,laboratory test fees and examination fees grew at average annual rates of 6.17％and 6.68％,respectively.The top four cost components with the highest grey relational degree with the average inpatient cost were laboratory test fees(0.867),exam-ination fees(0.835),nursing fees(0.784),and treatment fees(0.728).The top four components with the largest structural vari-ation values were surgery fees(2.57％),medical material fees(1.77％),laboratory test fees(1.56％),and examination fees(1.45％).Conclusion The growth of the average inpatient cost per admission has slowed,and the cost structure has been opti-mized to some extent.However,the relatively rapid increase in laboratory test and examination fees has a significant impact on the cost structure.It is necessary to deepen the coordinated governance of healthcare,medical insurance,and medicine,strengthen the leveraging role of medical insurance payment,improve the external governance system and scientific compensation mechanism,and combine these with refined hospital management to promote reasonable cost control and high-quality development in public hospitals.

Objective:To explore the therapeutic efficacy and prognostic factors of combined rituximab and intensive chemotherapy for sporadic adult Burkitt lymphoma (BL) .Methods:This retrospective study examined the clinical and survival data of 30 patients newly diagnosed with BL between July 2011 and February 2023 at the Blood Diseases Hospital. Kaplan-Meier method was used for survival analysis, and the log-rank test was used for univariate analysis of prognostic factors.Results:The median age of the 30 patients was 43 years (24 - 66 years), and the male to female ratio was 3: 2. Extranodal invasion was present in 80% of the patients, with involvement of the bone marrow in 53.3% and central nervous system in 10.0%. The Ann Arbor stage was Ⅲ and Ⅳ in 86.7%. According to the number of Burkitt Lymphoma International Prognostic Index (BL-IPI) risk factors, patients were classified as low risk (0) in 20.0%, intermediate risk (1) in 43.3%, and high risk (≥2) in 36.7%. All patients were treated with an induction regimen of rituximab combined with intensive chemotherapy, with objective and complete response rates of 80.0% and 76.7%, respectively. The median follow-up was 49 months (6-153 months), and the 5-year progression-free survival (PFS) and overall survival (OS) rates were both (76.7±7.7) %. All patients with limited stage ( n=4) achieved continuous complete remission (CCR). Patients who had high risk, advanced stage sensitive to induction therapy ( n=10) sequentially received first-line autologous hematopoietic stem cell transplantation (auto-HSCT) as consolidation therapy; 9 patients achieved CCR, whereas 1 patient with central nervous system invasion developed early disease progression and died. The BL-IPI low, intermediate, and high risk groups had respective 5-year PFS rates of (83.3±15.2) %, 100.0%, and (45.5±15.0) % ( P=0.0069) and OS rates of (83.3±15.2) %, 100.0%, and (45.5±15.0) % ( P=0.0075). The main adverse effects of induction therapy were myelosuppression and secondary infections, which were effectively managed by appropriate symptomatic treatment. Univariate analysis demonstrated that worse PFS was associated with BL-IPI score ≥2 ( HR=4.90, 95% CI 1.02-23.45, P=0.0329) ; extranodal invasion at ≥2 sites ( HR=12.62, 95% CI 2.59-61.62, P=0.0021) ; and failure to achieve first complete response (CR1) after induction therapy ( HR=31.86, 95% CI 4.19-242.20, P<0.0001) . Conclusions:Intensive immunochemotherapy regimens were effective and well-tolerated by adult patients with highly aggressive BL. Treatment efficacy was ideal in patients with limited-stage disease, whereas prognosis was unsatisfactory in patients with high-risk BL-IPI. Sequential first-line auto-HSCT consolidation therapy may further improve outcomes in patients with high-risk advanced-stage disease who are sensitive to induction therapy. BL-IPI score ≥2, extranodal invasion at ≥2 sites, and failure to achieve CR1 after induction therapy were adverse prognostic factors in adult patients with BL.

Objective:To explore the therapeutic efficacy and prognostic factors of combined rituximab and intensive chemotherapy for sporadic adult Burkitt lymphoma (BL) .Methods:This retrospective study examined the clinical and survival data of 30 patients newly diagnosed with BL between July 2011 and February 2023 at the Blood Diseases Hospital. Kaplan-Meier method was used for survival analysis, and the log-rank test was used for univariate analysis of prognostic factors.Results:The median age of the 30 patients was 43 years (24 - 66 years), and the male to female ratio was 3: 2. Extranodal invasion was present in 80% of the patients, with involvement of the bone marrow in 53.3% and central nervous system in 10.0%. The Ann Arbor stage was Ⅲ and Ⅳ in 86.7%. According to the number of Burkitt Lymphoma International Prognostic Index (BL-IPI) risk factors, patients were classified as low risk (0) in 20.0%, intermediate risk (1) in 43.3%, and high risk (≥2) in 36.7%. All patients were treated with an induction regimen of rituximab combined with intensive chemotherapy, with objective and complete response rates of 80.0% and 76.7%, respectively. The median follow-up was 49 months (6-153 months), and the 5-year progression-free survival (PFS) and overall survival (OS) rates were both (76.7±7.7) %. All patients with limited stage ( n=4) achieved continuous complete remission (CCR). Patients who had high risk, advanced stage sensitive to induction therapy ( n=10) sequentially received first-line autologous hematopoietic stem cell transplantation (auto-HSCT) as consolidation therapy; 9 patients achieved CCR, whereas 1 patient with central nervous system invasion developed early disease progression and died. The BL-IPI low, intermediate, and high risk groups had respective 5-year PFS rates of (83.3±15.2) %, 100.0%, and (45.5±15.0) % ( P=0.0069) and OS rates of (83.3±15.2) %, 100.0%, and (45.5±15.0) % ( P=0.0075). The main adverse effects of induction therapy were myelosuppression and secondary infections, which were effectively managed by appropriate symptomatic treatment. Univariate analysis demonstrated that worse PFS was associated with BL-IPI score ≥2 ( HR=4.90, 95% CI 1.02-23.45, P=0.0329) ; extranodal invasion at ≥2 sites ( HR=12.62, 95% CI 2.59-61.62, P=0.0021) ; and failure to achieve first complete response (CR1) after induction therapy ( HR=31.86, 95% CI 4.19-242.20, P<0.0001) . Conclusions:Intensive immunochemotherapy regimens were effective and well-tolerated by adult patients with highly aggressive BL. Treatment efficacy was ideal in patients with limited-stage disease, whereas prognosis was unsatisfactory in patients with high-risk BL-IPI. Sequential first-line auto-HSCT consolidation therapy may further improve outcomes in patients with high-risk advanced-stage disease who are sensitive to induction therapy. BL-IPI score ≥2, extranodal invasion at ≥2 sites, and failure to achieve CR1 after induction therapy were adverse prognostic factors in adult patients with BL.

OBJECTIVES: To construct a GA-BP neural network model based on the spectrum-effect relationship of Cassia seeds extract and test its performance for quality control of Cassia seeds using spectrum-effect score. METHODS: The HPLC fingerprints of Cassia seeds extract (0.1, 0.2, and 0.4 g/mL) were established. In a mouse model of 5-Fu-induced liver injury treated with 0.4, 0.8, and 1.6 g/kg of Cassia seeds extract, the pharmacodynamics parameters were measured to calculate the comprehensive efficacy using AHP-EWM. A GA-BP neural network model between the fingerprints and comprehensive efficacy was constructed, and the corresponding predicted comprehensive efficacy was obtained. The spectrum-effect relationship between the fingerprints and the measured and predicted comprehensive efficacy was established using grey correlation method followed by Gaussian fitting analysis. The spectral efficiency score was calculated using the relative peak area of the fingerprints and the correlation degree of the spectral efficiency. The reliability of the data was tested using the Z-ratio score method. The limit range of the spectral efficiency score was determined and the quality of the verification samples was evaluated. RESULTS: The error between the predicted value using the GA-BP neural network model and the measured value of the comprehensive efficacy was less than 0.2. Gaussian fitting analysis showed good fitting between the spectrum-effect relationship data of the measured and predicted comprehensive efficacy. The limit of the spectral efficiency score was 6.16-7.30. The prediction results for each verification group were consistent with the experimental results and within the limit of spectral efficiency score, and the results of Z-ratio score analysis demonstrated good data reliability. CONCLUSIONS The GA-BP neural network model can effectively predict the comprehensive efficacy of Cassia seeds extract, and the established spectrum-effect scoring method can be used for quality evaluation of samples.
Neural Networks, Computer ; Animals ; Seeds/chemistry* ; Mice ; Cassia/chemistry* ; Quality Control ; Drugs, Chinese Herbal/pharmacology* ; Plant Extracts/pharmacology* ; Male

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective To evaluate the efficiency of health resource allocation in 22 types of hospital institutions in Guangdong Province from 2018 to 2022,identify their strengths and shortcomings in resource utilization,and offer evidence-based recommendations for optimizing medical resource allocation and policymaking.Methods The efficiency of health resource allocation was assessed using the DEA-BCC model and the DEA-Malmquist index model across the 22 hospital categories.Results In 2022,the overall resource allocation efficiency of the 22 types of hospital institutions in Guangdong Province was suboptimal,with an average score of 0.657.From 2018 to 2022,the mean total factor productivity(TFP)change index for these hospitals was 0.968,with only 6 categories exhibiting a TFP index exceeding 1.Conclusion The efficiency of health resource allocation in Guangdong's hospitals remains inadequate.Government authorities should enhance macro-level planning for regional resource distribution,accelerate advancements in medical technology,and establish a real-time monitoring framework.Concurrently,policy interventions and incentive mechanisms should be reinforced to ensure both scientifically sound allocation and effective utilization of medical resources.

Objective To evaluate the efficiency of health resource allocation in 22 types of hospital institutions in Guangdong Province from 2018 to 2022,identify their strengths and shortcomings in resource utilization,and offer evidence-based recommendations for optimizing medical resource allocation and policymaking.Methods The efficiency of health resource allocation was assessed using the DEA-BCC model and the DEA-Malmquist index model across the 22 hospital categories.Results In 2022,the overall resource allocation efficiency of the 22 types of hospital institutions in Guangdong Province was suboptimal,with an average score of 0.657.From 2018 to 2022,the mean total factor productivity(TFP)change index for these hospitals was 0.968,with only 6 categories exhibiting a TFP index exceeding 1.Conclusion The efficiency of health resource allocation in Guangdong's hospitals remains inadequate.Government authorities should enhance macro-level planning for regional resource distribution,accelerate advancements in medical technology,and establish a real-time monitoring framework.Concurrently,policy interventions and incentive mechanisms should be reinforced to ensure both scientifically sound allocation and effective utilization of medical resources.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.