Objective: To investigate the efficacy and incidence of adverse reactions of therapeutic erythrocytapheresis in high altitude polycythemia (HAPC) population. Methods: A retrospective study was conducted on 243 HAPC patients who were either native residents or long-term workers in Xizang and underwent therapeutic erythrocytapheresis in the Chengdu Office Hospital of the People's Government of Xizang Autonomous Region from 2021 to 2023. A comparative study was carried out on the changes in blood routine, vital signs, skin color, serum iron metabolism data, and the incidence of adverse reactions before and after the procedure. Results: After erythrocytapheresis, significant decreases were observed in red blood cell (RBC) count (7.06±0.89×10 vs 6.08±0.93×10 /L, P<0.001], hemoglobin (HGB, 211.59±17.99 vs 182.76±19.83 g/L, P<0.001), hematocrit (Hct) [(65.30±6.45)% vs (55.56±8.12)%, P<0.001], serum iron (14.46±4.38 vs 11.77±3.78 μmol/L, P=0.003), total iron-binding capacity (126.62±4.47 vs 123.73±3.77 μmol/L, P=0.002), transferrin (1.88±0.41 vs 1.77±0.12 g/L, P=0.023), transferrin saturation [(11.32±3.11)% vs (9.43±2.78)%, P=0.004], serum ferritin (832.4±295.6 vs 665.3±249.2 ng/mL, P<0.001), systolic blood pressure (123.86±14.43 vs 118.51±13.68 mmHg, P<0.001) and diastolic blood pressure (81.68±9.54 vs 74.28±7.61 mmHg, P<0.001). In contrast, platelet count (Plt, 137.21±46.21 ×10 vs 147.94±50.66 ×10 /L, P<0.001) and oxygen saturation [(93.97±3.29)% vs (95.84±2.27)%, P<0.001] increased. No significant differences were found in white blood cell (WBC) count [5.35 (4.59, 6.44)×10 /L vs 5.43 (4.54, 6.53) ×10 /L, P=0.690], unsaturated iron-binding capacity (112.15±0.50 vs 111.96±0.25 μmol/L, P=0.074) and pulse rate (73.42±11.28 vs 73.19±7.18 beats/min, P=0.750). Furthermore, skin color of the face (conjunctiva, lips) and palms mitigated after therapeutic erythrocytapheresis, changing from purplish-red to red. The total incidence of adverse reactions during erythrocytapheresis was 13.98% (34/243), including citrate toxicity 12.75% (31/243), puncture site hematoma 0.82% (2/243) and blood volume imbalance 0.41% (1/243). Conclusion: Therapeutic erythrocytapheresis could rapidly decrease HCT, Hb, serum iron, transferrin and transferrin saturation levels in HAPC patients, with a low incidence of adverse reactions. Therefore, therapeutic erythrocytapheresis has broad clinical application prospects in Xizang Autonomous Region.

Objective:To establish the UPLC fingerprint evaluation system of Viticis Fructus; To comprehensively evaluate the quality of Viticis Fructus and its processed products combining with multivariate statistical methods and compositional variance analysis.Methods:19 batches of Viticis Fructus from different regions were collected and processed by frying process into decoction pieces. The separation was operated on Waters CORTECS T3 C18 chromatographic column (100 mm × 2.1 mm, 1.6 μm). Acetonitrile and 0.1% phosphoric acid water were used as mobile phases for gradient elution, to establish the UPLC fingerprints of Viticis Fructus. The UPLC fingerprints of Viticis Fructus were analyzed using similarity evaluation, principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA). The contents of seven active components in the samples of Viticis Fructus and fried Viticis Fructus were determined.Results:A total of 26 common peaks were identified in the fingerprints of 38 batches of samples, and 7 components were identified. Similarity evaluation results demonstrated that the chemical components of Viticis Fructus from Jingdezhen City, Jiangxi Province, were significantly different from those of other regions. The results of PCA and PLS-DA analysis showed that the chemical components of Viticis Fructus and fried Viticis Fructus could be clearly distinguished, and the processing process had an impact on the components. The results of content determination showed that the contents of some components increased or decreased after frying. The analysis results of grey correlation method and TOPSIS method show that the medicinal materials in Jiujiang City, Jiangxi Province have a high score ranking and stable quality.Conclusion:This study successfully establishes the fingerprints of Viticis Fructus and its processed products, grey correlation method and TOPSIS method analysis revealed the quality differences of samples from different origins, which providing a scientific basis for the quality control and evaluation of Viticis Fructus and its processed products.

Objective:To establish a method for the identification of Qianghuo (Notopterygii Rhizoma et Radix) dispensing granules with PCR for the identification of dispensing granules.Methods:The collected samples were identified by DNA bar code, and the methods of extracting genomic DNA from Notopterygii Rhizoma et Radix, Qianghuo standard decoction and dispensing granules were established. Specific differential primers were designed based on ITS2 sequence, and the PCR amplification system and reaction conditions were optimized.Results:The PCR amplification system and reaction conditions were determined. The target bands of about 216 bp were obtained by amplification of Notopterygii Rhizoma et Radix, Qianghuo standard decoction and dispensing granules, and there was no interference from counterfeit products and blank.Conclusions:The specific PCR identification method of Qianghuo (Notopterygii Rhizoma et Radix) dispensing granules is established, which has good specificity. The detection limit of Notopterygii Rhizoma et Radix is 0.91 ng, and the detection limit of dispensing granules is 7.36 ng, which also provides a reference for the identification of other kinds of TCM dispensing granules.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.