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 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.

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:To investigate the level of self-management and daily physical activity in patients with type 2 diabetes mellitus (T2DM) of Zang and Han nationalities in Tibetan, China, and to compare the difference in daily management between T2DM patients of Zang and Han nationalities, to develop reasonable and effective chronic disease management strategies for long-term out-of-hospital management of T2DM patients of Zang nationalities.Methods:A total of 265 T2DM patients with glycosylated hemoglobin (HbA1c) ≥ 7% who were admitted to the Endocrinology Ward of the Hospital of Chengdu Office of People's Government of Tibet Autonomous Region from November 2020 to April 2021 and who were from different regions of Tibet were included in this study according to inclusion and exclusion criteria. The general data of all included patients were collected. Glucose and lipid metabolism-related indicators were determined. The Generalized Diabetes Self-Management Efficacy Scale and International Physical Activity Questionnaires (IPAQ) were used to evaluate patients' levels of self-management and daily physical activity.Results:The hemoglobin level in T2DM patients of Zang nationality was (154.09 ± 24.11) g/L, which was significantly higher than that in T2DM patients of Han nationality ( P < 0.05). The total cholesterol, fasting blood glucose, and low-density lipoprotein in T2DM patients of Zang nationality were (4.63 ± 1.41) mmol/L, (7.94 ± 2.19) mmol/L, and (2.75 ± 1.11) mmol/L, respectively, which significantly higher compared with T2DM patients of Han nationality (all P < 0.05). Compared with T2DM patients of Han nationality, T2DM patients of Zang nationality had lower self-management scores (81.40 ± 15.44) points, diet control scores (17.26 ± 4.97) points, physical exercise scores (11.67 ± 4.42) points, prevention and treatment of high and low blood sugar score (12.21 ± 5.72) points. The differences were statistically significant (all P < 0.05). Moderate-intensity physical activity was a significant difference between T2DM patients of Zang and Han nationalities ( P < 0.05). Conclusion:Compared with T2DM patients of Han nationality, T2DM patients of Zang nationality have lower overall self-management levels, including diet control, physical exercise, prevention and management of high and low blood glucose, and moderate-intensity physical activity. Targeted individualized education should be carried out according to the Tibetan cultural characteristics, to further develop an intervention method and an out-of-hospital management strategy for chronic disease, which are suitable for T2DM patients of Zang nationality.