The Analysis of Influence Factors on Platelet Antibody Production and Clinical Transfusion Effects

Huaxiang CHAI; Ziyu LUO; Aizhi DUAN; Deying LI; Weiqun DONG

doi:10.12259/j.issn.2095-610X.S20230901

Volume 44 Issue 9

Sep. 2023

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Article Navigation > Journal of Kunming Medical University > 2023 > 44(9): 62-68

Huaxiang CHAI, Ziyu LUO, Aizhi DUAN, Deying LI, Weiqun DONG. The Analysis of Influence Factors on Platelet Antibody Production and Clinical Transfusion Effects[J]. Journal of Kunming Medical University, 2023, 44(9): 62-68. doi: 10.12259/j.issn.2095-610X.S20230901

Citation:

Huaxiang CHAI, Ziyu LUO, Aizhi DUAN, Deying LI, Weiqun DONG. The Analysis of Influence Factors on Platelet Antibody Production and Clinical Transfusion Effects[J]. Journal of Kunming Medical University, 2023, 44(9): 62-68. doi: 10.12259/j.issn.2095-610X.S20230901

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The Analysis of Influence Factors on Platelet Antibody Production and Clinical Transfusion Effects

doi: 10.12259/j.issn.2095-610X.S20230901

Dept. of Blood Transfusion，The 1st Affiliated Hospital of Kunming Medical University， Kunming Yunnan 650032，China

Received Date: 2023-05-22
Available Online: 2023-09-23
Publish Date: 2023-09-30

Abstract

Abstract

Objective To analyze the platelet antibody detection results and the influence factors of 937 patients in our hospital, explore the impact of platelet antibodies on clinical transfusion effects, provide basis for the application value of platelet antibody detection, and ensure that platelet transfusion is more effective and safe. Methods From June 2019 to April 2021, samples from 937 patients were randomly collected from inpatients who applied for blood preparation or blood transfusion, and platelet antibodies were detected. The patients’ general clinical data were collected through the electronic medical record system and LIS system. Results 1. The positive rate of platelet antibody in patients with multiple transfusions was 13.23% , and the positive rate of platelet antibody correlated with the number of transfusions with statistically significant differences; 2. The positive rate of platelet antibody test was higher in women than in men （15.95% vs 10.57%, P < 0.05）; 3. The positive rate of platelet antibody test was higher in medical patient than in surgical patient （16.31% vs 3.88%, P < 0.05）, among which the top three department of medicine with positive platelet antibody test rates were the hematology department, the emergency department, and ICU （19.07% vs 18.42% vs 16.95%）; 4. For patients in the hematology department, the number of chemotherapy, the combined use of more than 2 types of chemotherapy drugs, and the number of previous transfusion of platelets were significantly correlated with the detection rate of platelet antibodies （P < 0.05）; 5. The positive rate of antibodies in the effective and ineffective groups of platelet transfusion was statistically different （P < 0.05）; 6. The detection rate of HLA antibodies among platelet antibodies in non-hemolytic febrile reactions was as high as 67.85% （19/28）. Conclusion 1. The production of platelet antibody is positively correlated with the number of blood transfusion, and the factors affecting the positive rate of platelet antibodies included: the number of platelet transfusions, female maternal history, the number of chemotherapy treatments in chemotherapy patients, and the use of chemotherapy drugs; 2. The investigation and study of platelet antibody detection has the enormous application value in the ineffectiveness of platelet transfusion, the assessment of transfusion efficacy in patients with hematologic diseases and chemotherapy, the establishment of transfusion strategy, and the diagnosis of non-hemolytic febrile transfusion adverse reactions; 3. The effect of Platelet transfusion can be significantly improved by coordinating platelets transfusion, and can effectively reduce the occurrence of ineffective platelets transfusion.
- Blood transfusion,
- Platelet antibodies,
- Ineffective platelet transfusion,
- Influence factors

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References(16)

References

[1]	中国医师协会输血科医师分会,中华医学会临床输血学分会. 血小板抗体检测专家共识[J]. 临床输血与检验,2020,22(1):1-5.
[2]	陆乐,李平,刘婷婷,等. 不同性别,临床科室患者血小板抗体筛查结果分析[J]. 国际检验医学杂志,2021,42(3):263-265,269.
[3]	刘科益,张媛媛,张珍丹. 宁波地区血小板抗体筛查结果的调查和分析[J]. 现代实用医学,2015,27(8):1101-1102.
[4]	袁慧铭,邓永乐,陈志龙,等. 血型、性别及输血次数与血小板抗体阳性率关系的探讨[J]. 中国输血杂志,2017,30(7):742-744.
[5]	胡维,何巍巍,胡志坚. 血小板抗体检测与患者血小板输注效果的分析[J]. 中国输血杂志,2011,24(5):427-428.
[6]	熊婷,周小玉,汪承亚. 血液病患者血小板抗体检测与血小板输注效果的临床分析[J]. 临床血液学杂志:输血与检验,2013,26(1):73-75.
[7]	胡立华,罗顺琼,曾淼. 血小板抗体检测对多次输血后血小板输注无效患者的临床价值[J]. 临床医学工程,2020,27(4):433-434.
[8]	谢作听,洪俊英,陈钦宏,等. 血小板输注患者血小板抗体筛检及血小板交叉配型情况调查分析[J]. 中国输血杂志,2011,24(4):343-344.
[9]	陈曦,王文江,刘娟,等. 联合检测PAIg与CD41+淋巴样小巨核对ITP及MDS鉴别诊断的意义[J]. 现代生物医学进展,2010,10(14):2652-2655.
[10]	王涓冬,潘祥林,尹哲,等. 血小板糖蛋白特异性抗体在骨髓增生异常综合征患者中的表达及其意义[J]. 中国实验血液学杂志,2007,15(1):95-98.
[11]	谢仁伟,王明泉,李丽群,等. 孕晚期孕妇2038例血小板抗体筛查分析[J]. 福建医药杂志,2016,38(2):98-99.
[12]	冯红梅,蔡祥胜,杨兆收,等. 血小板抗体产生的影响因素分析[J]. 广东药科大学学报,2019,35(5):674-678.
[13]	聂锋,练正秋,李玲. 血小板抗体检测分析与探讨[J]. 中国实验诊断学,2019,23(12):2052-2054.
[14]	李志静. 反复输注血小板的血液病患者输血疗效的分析[J]. 中国输血杂志,2018,31(3):255-257.
[15]	Abraham A S,Chacko M P,Fouzia N A,et al. Antibodies to human platelet antigens form a significant proportion of platelet antibodies detected in Indian patients with refractoriness to platelet transfusions[J]. Transfusion Medicine,2018,28(5):392-397. doi: 10.1111/tme.12516
[16]	Vassallo R R. Recognition and management of antibodies to human platelet antigens in platelet transfusion-refractory patients.[J]. Immunohematology,2009,25(3):119-124. doi: 10.21307/immunohematology-2019-244

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