As a new type of production factor that can empower the development of new quality productivity, the data element is an important engine to promote the high quality development of the industry. Traditional Chinese medicine(TCM) dispensing is the most basic work of TCM clinical pharmacy, and its quality directly affects the clinical efficacy of TCM. The integration of data elements and TCM dispensing can stimulate the innovation and vitality of the TCM dispensing industry and promote the high-quality and sustainable development of the industry. A large-scale, detailed, and systematic study on TCM dispensing was conducted. The innovative practice path of data fusion construction in the whole process of TCM dispensing was investigated by integrating the digital resources "nine full activities" of TCM dispensing, creating the digital dictionary of "TCM clinical information data elements", and exploring innovative applications of TCM dispensing driven by data and technology, so as to promote the standardized, digital, and intelligent development of TCM dispensing in medical health services. The research content of this project was successfully selected as the second batch of "Data element×" typical cases of National Data Administration in 2024, which is the only selected case in the field of TCM.
Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal ; Humans

OBJECTIVE: To investigate the feasibility and prognostic implications of assessing volume status during early fluid resuscitation in septic patients based on estimated plasma volume status (ePVS). METHODS: A prospective study was conducted. Patients with sepsis admitted to intensive care unit (ICU) of the First Affiliated Hospital of Kunming Medical University from March to December in 2023 were enrolled. The general information and laboratory indicators at ICU admission were recorded, and ePVS, sequential organ failure assessment (SOFA) score, acute physiology and chronic health status evaluation II (APACHE II) score were calculated. The vital signs, arterial blood gas analysis and volume status related indicators before liquid resuscitation (T0h) and 3 hours (T3h) and 6 hours (T6h) of fluid resuscitation were recorded. The diameter and variability of the inferior vena cava (IVC) were measured by ultrasound, and ePVS, percentage change value of estimated plasma volume status (ΔePVS%), difference in central venous-to-arterial partial pressure of carbon dioxide (Pcv-aCO₂), and lactate clearance rate (LCR) were calculated. Patients were divided into sepsis group and septic shock group based on the diagnosis at ICU admission, and septic patients were subdivided into survival group and death group based on their 28-day survival status. The differences in clinical data between the groups were compared. The correlation between ePVS or ΔePVS% and volume status related indicators during early liquid resuscitation was analyzed by Spearman rank sum correlation test. The predictive value of each variable for 28-day survival in patients with sepsis was analyzed by receiver operator characteristic curve (ROC curve), and 28-day death risk factors were analyzed by Logistic regression method. RESULTS: Fifty-four septic patients were enrolled in the final analysis, including 17 with sepsis and 37 with septic shock; 34 survived at 28 days and 20 died, with a 28-day survival rate of 63.0%. Compared with the sepsis group, the septic shock group had a lower venous ePVS at ICU admission [dL/g: 4.96 (3.67, 7.15) vs. 7.55 (4.36, 10.07), P < 0.05]. Compared with the death group, the survival group had higher T6h arterial and venous ΔePVS%, and albumin [Alb; T6h arterial ΔePVS% (%): 11.57% (-1.82%, 31.35%) vs. 0.48% (-5.67%, 6.02%), T6h venous ΔePVS%: 9.62% (3.59%, 25.75%) vs. 1.52% (-9.65%, 7.72%), Alb (g/L): 27.57±4.15 vs. 23.77±6.97, all P < 0.05], lower SOFA score, APACHE II score, AST, T0h Lac, and T3h and T6h norepinephrine dosage [SOFA score: 9.00 (8.00, 10.00) vs. 11.50 (9.25, 14.50), APACHE II score: 18.00 (14.75, 21.25) vs. 25.50 (21.00, 30.00), AST (U/L): 34.09 (23.20, 56.64) vs. 79.24 (25.34, 196.59), T0h Lac (mmol/L): 1.75 (1.40, 2.93) vs. 3.25 (2.33, 5.30), norepinephrine dosage (mg): 0.98 (< 0.01, 3.10) vs. 4.60 (1.05, 8.55) at T3h, 1.82 (0.38, 5.30) vs. 8.20 (2.80, 17.73) at T6h, all P < 0.05]. While there were no significantly differences in other basic data and ePVS at all of the time points before and after resuscitation between the two groups. Correlation analysis showed that T6h venous ePVS was significantly positively correlated with T6h IVC variability in septic patients (r = 0.360, P < 0.05), T0h arterial ePVS was significantly negatively correlated with T3h and T6h liquid intake volume (r₁ = -0.367, r₂ = -0.280, both P < 0.05), and venous ePVS at ICU admission was significantly positively correlated with NT-proBNP at ICU admission (r = 0.409, P < 0.05). T6h venous ΔePVS% was significantly positively correlated with T3h liquid intake volume and T6h LCR (r₁ = 0.286, r₂ = 0.286, both P < 0.05), and significantly negatively correlated with T6h urine volume and T6h change value of Pcv-aCO₂ (ΔPcv-aCO₂; r₁ = -0.321, r₂ = -0.371, both P < 0.05). ROC curve analysis showed that the area under the ROC curve (AUC) of T6h venous ΔePVS% for predicting 28-day survival in septic patients was 0.726 [95% confidence interval (95%CI) was 0.578-0.875, P = 0.006], with a sensitivity of 82.4%, a specificity of 60.0%, and an optimal cut-off value of 3.09%. Binary multifactorial Logistic regression analysis showed that an increase in T6h venous ΔePVS% was a protective factor for 28-day death in patients with sepsis on early fluid resuscitation [odds ratio (OR) = 0.900, 95%CI was 0.834-0.972, P = 0.007]. CONCLUSIONS ePVS may have potential for assessing the volume status of septic patients during early fluid resuscitation. The ΔePVS% during early fluid resuscitation may help to identify septic patients with a poor prognosis.
Humans ; Prognosis ; Fluid Therapy ; Sepsis/physiopathology* ; Prospective Studies ; Plasma Volume ; Intensive Care Units ; Resuscitation ; Male ; Female ; Middle Aged ; Shock, Septic/therapy*

Objective:To explore the trend of Out-of-Pocket as a proportion of total health expenditure in Heilongjiang Province from 2013 to 2022,assessing the medical economic burden on residents and the equitable distribution of health resources.Methods:It employs statistical description and comparative research methods,collecting data on total health expenditure and Out-of-Pocketfor medical care in Heilongjiang Province from 2013 to 2022.A horizontal comparative analysis is conducted,comparing these trends with other provinces in the Northeast region and at the national level.Results:The Out-of-Pocket proportion in total health expenditure in Heilongjiang Province decreased from 41.56％in 2013 to 28.88％in 2022,indicating a downward trend;however,it remains higher than the national average during the same period.Additionally,the proportion of government health expenditure and social health expenditure has gradually increased,reflecting greater investment in the health sector by both the government and society.Conclusion:Although the Out-of-Pocket proportion in total health expenditure in Heilongjiang Province has decreased,the medical economic pressure on residents remains significant.It is recommended that the government continue to enhance health investment,optimize the health financing model,improve the efficiency of health services,reduce the burden of personal health expenditure,and achieve a more equitable distribution of health resources.

Aim To investigate the regulatory role and mechanism of resveratrol in inhibiting autophagy and promoting apoptosis in choroidal melanoma cells. Methods Choroidal melanoma cells (MUM2B) were divided into control and experimental groups, and treated with different concentrations of resveratrol (0, 10, 20,40,60,80 μmol ·L

Objective To investigate the correlation between intra-and peri-tumoral radiomics features and the response to con-current chemoradiotherapy(CCRT)in cervical squamous cell carcinoma,and to explore the difference of predictive performance between 2D and 3D radiomics models.Methods The imaging data of 132 patients were analyzed retrospectively and randomly divided into training set(n=92)and validation set(n=40).Radiomics features were extracted based on the dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI),the correlation analysis and least absolute shrinkage and selection operator(LASSO)algorithm were used for dimensionality reduction and screening,then the radiomics score was calculated and the logistic model was constructed.The receiver operating characteristic(ROC)curve,internal validation of Bootstrap and Brier score were used to evaluate the discrimina-tion and calibration of the model,and the improvement in predictive performance of 3D model compared with 2D model was evaluated by the integrated discrimination improvement(IDI).Results In the training set,the ROC curve showed that the area under the curve(AUC)of the models(2D-intratumoral,3D-intratumoral,3D-peritumoral,3D-combined)ranged from 0.774 to 0.893.The internal validation of Bootstrap showed the AUC were 0.772,0.860,0.847 and 0.888,respectively,while in the validation set,the AUC were 0.757,0.849,0.824 and 0.887,respectively.The Brier scores indicated that the models were well calibrated.In the training set and the validation set,the IDI values were 0.155 and 0.179,respectively,and the differences were statistically significant(P<0.05).Conclusion The radiomics analysis based on the tumor volume can fully explore the tumor heterogeneity.The intra-and peri-tumoral radiomics combined model shows the best predictive performance,which is important to assist clinicians in developing individualized therapies.

Objective:To explore the trend of Out-of-Pocket as a proportion of total health expenditure in Heilongjiang Province from 2013 to 2022,assessing the medical economic burden on residents and the equitable distribution of health resources.Methods:It employs statistical description and comparative research methods,collecting data on total health expenditure and Out-of-Pocketfor medical care in Heilongjiang Province from 2013 to 2022.A horizontal comparative analysis is conducted,comparing these trends with other provinces in the Northeast region and at the national level.Results:The Out-of-Pocket proportion in total health expenditure in Heilongjiang Province decreased from 41.56％in 2013 to 28.88％in 2022,indicating a downward trend;however,it remains higher than the national average during the same period.Additionally,the proportion of government health expenditure and social health expenditure has gradually increased,reflecting greater investment in the health sector by both the government and society.Conclusion:Although the Out-of-Pocket proportion in total health expenditure in Heilongjiang Province has decreased,the medical economic pressure on residents remains significant.It is recommended that the government continue to enhance health investment,optimize the health financing model,improve the efficiency of health services,reduce the burden of personal health expenditure,and achieve a more equitable distribution of health resources.

Objective:To explore the trend of Out-of-Pocket as a proportion of total health expenditure in Heilongjiang Province from 2013 to 2022,assessing the medical economic burden on residents and the equitable distribution of health resources.Methods:It employs statistical description and comparative research methods,collecting data on total health expenditure and Out-of-Pocketfor medical care in Heilongjiang Province from 2013 to 2022.A horizontal comparative analysis is conducted,comparing these trends with other provinces in the Northeast region and at the national level.Results:The Out-of-Pocket proportion in total health expenditure in Heilongjiang Province decreased from 41.56％in 2013 to 28.88％in 2022,indicating a downward trend;however,it remains higher than the national average during the same period.Additionally,the proportion of government health expenditure and social health expenditure has gradually increased,reflecting greater investment in the health sector by both the government and society.Conclusion:Although the Out-of-Pocket proportion in total health expenditure in Heilongjiang Province has decreased,the medical economic pressure on residents remains significant.It is recommended that the government continue to enhance health investment,optimize the health financing model,improve the efficiency of health services,reduce the burden of personal health expenditure,and achieve a more equitable distribution of health resources.

Objective:To explore the trend of Out-of-Pocket as a proportion of total health expenditure in Heilongjiang Province from 2013 to 2022,assessing the medical economic burden on residents and the equitable distribution of health resources.Methods:It employs statistical description and comparative research methods,collecting data on total health expenditure and Out-of-Pocketfor medical care in Heilongjiang Province from 2013 to 2022.A horizontal comparative analysis is conducted,comparing these trends with other provinces in the Northeast region and at the national level.Results:The Out-of-Pocket proportion in total health expenditure in Heilongjiang Province decreased from 41.56％in 2013 to 28.88％in 2022,indicating a downward trend;however,it remains higher than the national average during the same period.Additionally,the proportion of government health expenditure and social health expenditure has gradually increased,reflecting greater investment in the health sector by both the government and society.Conclusion:Although the Out-of-Pocket proportion in total health expenditure in Heilongjiang Province has decreased,the medical economic pressure on residents remains significant.It is recommended that the government continue to enhance health investment,optimize the health financing model,improve the efficiency of health services,reduce the burden of personal health expenditure,and achieve a more equitable distribution of health resources.

Objective:To explore the trend of Out-of-Pocket as a proportion of total health expenditure in Heilongjiang Province from 2013 to 2022,assessing the medical economic burden on residents and the equitable distribution of health resources.Methods:It employs statistical description and comparative research methods,collecting data on total health expenditure and Out-of-Pocketfor medical care in Heilongjiang Province from 2013 to 2022.A horizontal comparative analysis is conducted,comparing these trends with other provinces in the Northeast region and at the national level.Results:The Out-of-Pocket proportion in total health expenditure in Heilongjiang Province decreased from 41.56％in 2013 to 28.88％in 2022,indicating a downward trend;however,it remains higher than the national average during the same period.Additionally,the proportion of government health expenditure and social health expenditure has gradually increased,reflecting greater investment in the health sector by both the government and society.Conclusion:Although the Out-of-Pocket proportion in total health expenditure in Heilongjiang Province has decreased,the medical economic pressure on residents remains significant.It is recommended that the government continue to enhance health investment,optimize the health financing model,improve the efficiency of health services,reduce the burden of personal health expenditure,and achieve a more equitable distribution of health resources.

Objective:To explore the trend of Out-of-Pocket as a proportion of total health expenditure in Heilongjiang Province from 2013 to 2022,assessing the medical economic burden on residents and the equitable distribution of health resources.Methods:It employs statistical description and comparative research methods,collecting data on total health expenditure and Out-of-Pocketfor medical care in Heilongjiang Province from 2013 to 2022.A horizontal comparative analysis is conducted,comparing these trends with other provinces in the Northeast region and at the national level.Results:The Out-of-Pocket proportion in total health expenditure in Heilongjiang Province decreased from 41.56％in 2013 to 28.88％in 2022,indicating a downward trend;however,it remains higher than the national average during the same period.Additionally,the proportion of government health expenditure and social health expenditure has gradually increased,reflecting greater investment in the health sector by both the government and society.Conclusion:Although the Out-of-Pocket proportion in total health expenditure in Heilongjiang Province has decreased,the medical economic pressure on residents remains significant.It is recommended that the government continue to enhance health investment,optimize the health financing model,improve the efficiency of health services,reduce the burden of personal health expenditure,and achieve a more equitable distribution of health resources.