Existence and significance of anti-HLA-C autoantibodies to primary and persistent platelet transfusion refractoriness in patients with hematologic disorders: a retrospective study from a single centre
2024

Anti-HLA-C Autoantibodies and Platelet Transfusion Refractoriness

Sample size: 114 publication 10 minutes Evidence: moderate

Author Information

Author(s): Xunhua Li, Qi Liu, Jingjie Dong, Yaonan Hong, Chuanao Xin, Junfeng Guo, Shan Liu, Peicheng Wang, Zexing Sun, Yingying Shen, Xiawan Yang, Hangchao Li, Yiping Shen, Jianping Shen, Baodong Ye, Yuhong Zhou, Tonglin Hu, Dijiong Wu

Primary Institution: The First Affiliated Hospital of Zhejiang Chinese Medical University

Hypothesis

This study aims to investigate the incidence and risk factors for primary and persistent platelet transfusion refractoriness (P/P PTR) in patients with hematologic disorders.

Conclusion

The study highlights the significance of anti-HLA-C autoantibodies as an independent risk factor for P/P PTR in hematological patients, suggesting that rituximab may be a useful treatment.

Supporting Evidence

  • 28.95% of patients experienced platelet transfusion refractoriness (PTR), with 63.63% classified as primary and persistent (P/P) PTR.
  • Anti-HLA-C autoantibody was identified as an independent risk factor for P/P PTR.
  • Application of rituximab may be practical in managing P/P PTR with HLA-C autoantibodies.

Takeaway

Some patients have trouble getting better after platelet transfusions because their bodies make antibodies against the platelets. This study found that a specific type of antibody, called anti-HLA-C, can make this problem worse.

Methodology

The study reviewed clinical data from patients with hematologic disorders who underwent HLA high-resolution genotyping and antibody testing between January 2019 and March 2023.

Potential Biases

The study may be biased due to the retrospective design and the limited number of patients with anti-HLA-C autoantibodies.

Limitations

The study is retrospective with a limited sample size of patients with anti-HLA-C autoantibodies and did not analyze the influence of the combination of anti-HLA antibodies.

Participant Demographics

{"median_age":40,"age_range":"14-80","gender_distribution":{"male":46,"female":68},"disease_distribution":{"aplasitic_anemia":75,"leukemia":25,"myelodysplastic_syndrome":10,"other":4}}

Statistical Information

P-Value

{"anti_HLA_I":0.019,"anti_HLA_C":0.039}

Confidence Interval

{"anti_HLA_I":"1.184–6.453","anti_HLA_C":"1.130–8.894"}

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1080/07853890.2024.2446689

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication