Objective To explore the risk factors for platelet transfusion refractoriness(PTR)in patients with hemato-logical disorders,construct a prediction model and validate the model efficacy.Methods Patients with hematological disor-ders who received platelet transfusion therapy in the Chengdu Second People's Hospital from December 2021 to December 2022 were retrospectively included to judge the effectiveness of platelet transfusion and screened for risk factors by univariate and multivariate logistic regression.A prediction model for PTR was constructed using receiver operating characteristic(ROC)curve,calibration curve and decision curve(DCA)to assess the differentiation,calibration and clinical value of the model,respectively.Results A total of 334 hematological patients were included,including 168 males and 176 females,with a PTR incidence of 40.4%.Univariate and multivariate logistic regression analysis showed that platelet transfusion vol-ume,erythrocyte transfusion volume,and neutrophil ratio were risk factors for PTR(P<0.05).A prediction model for PTR in hematological patients was established based on these risk factors.The area under the model's curve was 0.8377(95%CI:0.723-0.772),the sensitivity was 58.52%,and the specificity was 89.95%.The calibration curve showed that the S∶P was 0.964,the maximum absolute difference Emax was 0.032,and the average absolute difference Eavg was 0.009.The DCA a-nalysis showed that the model had clinical application value when the risk threshold ranged from 0.2 to 0.9.Conclusion The PTR prediction model based on platelet transfusion volume,erythrocyte transfusion volume and neutrophil ratio can pro-vide a basis for effective platelet transfusion in hematological patients.

【Objective】 To observe the effect of platelet transfusion in inpatients with haematological diseases, analyze the possible causes of platelet transfusion refractoriness (PTR), in order to further improve the efficacy of platelet transfusion. 【Methods】 A total of 310 patients with blood disease in our hospital from August 2020 to November 2021 who received platelet transfusion were retrospectively analyzed. Possible influencing factors of platelet transfusion, including gender, age, platelet preservation time, number of platelet transfusions, complication and red blood cell product transfusion were analyzed. 【Results】 Patients were divided into effective group and refractory group according to percentage platelet recovery (PPR) and corrected count increment (CCI). PTR was defined as PPR <20% or CCI <5 000 after two consecutive transfusions in 24 h or clinical bleeding symptoms or tendency not significantly controlled. Statistical differences were noticed between the two groups in terms of gender, pretransfusion white blood cell count, anemia, and whether antibiotics were used (P<0.05). The type of disease, gender, anemia and number of comorbidities were associated with PTR. The incidence of PTR was the highest in patients with myelodysplastic syndrome, and the incidence of PTR was higher in men than in women. Transfusion units of suspended red blood cells and the number of comorbidities were negatively correlated with the transfusion efficacy (P<0.05). 【Conclusion】 Possible influencing factors of platelet transfusion included the level of white blood cells before transfusion, use of antibiotics, anemia and transfusion of red blood cells, number of comorbidities, and type of disease, while no significant differences were found in age, hemolysis, hypersplenism, platelet preservation time, and number of platelet transfusions on transfusion efficacy.

【Objective】 To explore the effectiveness of PDCA (Plan-Do-Check-Act Cycle Management) in clinical emergency blood management. 【Methods】 The data of emergency blood-using cases from January 2021 to June 2022 in each clinical department of our hospital were collected to observe the blood matching time, blood retrieving time, and emergency bloodusing rate. They were divided into PDCA experimental group (Experimental group, July to December 2021, n=287), pre-PDCA experimental group (Control group 1, January to June 2021, n=516) and post-PDCA experimental cessation group (Control group 2, January to June 2022, n=277). Subgroup analysis was performed according to different departments, which were Internal Medicine Department, Surgery Depatment, and ICU. The situation of non-emergency blood use occupying emergency lanes in the pre-implementation period was continuously improved using PDCA, and the differences in blood matching time, blood retrieving time, and emergency blood-using rate among the three groups were compared and analyzed by Kruskal-Wallis test and chi-square test. 【Results】 The blood matching time and blood retrieving time (M, min) in the experimental group, control group 1 and control group 2 were 19.00 vs 45.50 vs 23.00 and 22.00 vs 44.00 vs 25.00, respectively (P< 0.05), and were 19.00 vs 47.00 vs 24.00 and 23.00 vs 56.00 vs 30. 50 in Internal Medicine Department, 18.00 vs 57.50 vs 14.00 and 32.00 vs 41.00 vs 24.00 in Surgery Department, 20.00 vs 42.00 vs 23.00 and 16.50 vs 34.00 vs 12.50 in ICU (P<0.05). The rate of emergency blood use in the experimental group, control group 1, and control group 2 were 6.9%(287/4 141) vs 11.0%(516/4 689) vs 6.8%(277/4 089), respectively (P< 0.05), and were 6.3%(175/2 769) vs 11.8% (297/2 512) vs 6.7% (186/2 789) in Internal Medicine Department, 5.9%(24/405) vs 3.6 %(44/1 213) vs 7.4% (37/501) in Surgery Department, and 9.1% (88/967) vs 18% (175/973) vs 6.8%(54/799) in ICU (P<0.05). 【Conclusion】 The adoption of PDCA in Blood Transfusion Department can effectively shorten the blood matching time and blood retrieving time for clinical emergencies and improve the success rate of emergency blood transfusion.