Evidence map›Paper›PMID 42827707›Full record

ArticleFrontiers in medicine2026

Personalized management of platelet transfusion refractoriness: risk factors, cross-matching, and IVIG strategies.

Jixin Li, Linting Wang, Yi Qin, Yingyin Liang, Piao Lv, Yuan Yao, Xinxin Fan, Huayou Zhou

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jixin Li *Department of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Linting Wang *Department of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yi QinDepartment of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yingyin LiangDepartment of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Piao LvDepartment of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yuan YaoDepartment of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Xinxin FanDepartment of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Huayou ZhouDepartment of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Platelet transfusion refractoriness (PTR) is a major clinical challenge in hematologic patients, yet real-world evidence comparing transfusion strategies-particularly the role of cross-matched platelets and intravenous immunoglobulin (IVIG)-remains limited. Methods: We retrospectively analyzed 144 hematologic patients diagnosed with PTR at Nanfang Hospital (2019-2022), totalling 1,345 transfusion episodes. Patients were stratified by platelet antibody status. Four transfusion regimens were compared: random platelets, cross-matched platelets, random platelets + IVIG, and cross-matched platelets + IVIG. The primary endpoint was 24-h corrected count increment (CCI). Logistic regression identified factors associated with antibody development. The primary analysis was performed using linear mixed-effects models (LMMs) with a random intercept for patients to account for within-patient correlation. Fixed effects included transfusion strategy along with prespecified episode-level and patient-level covariates. Generalized estimating equations (GEE) were used as a sensitivity analysis to assess the robustness of the findings. Results: Female sex emerged as the strongest independent predictor for the development of platelet antibodies (OR: 4.18, 95% CI: 2.25-8.24). Other univariate risk factors included age, obstetric history, diagnosis, and chemotherapy cycles. Among antibody-positive patients, both cross-matched platelets and IVIG combined with random platelets were associated with improved 24 h CCI compared with random platelets alone (all Conclusion: Among patients with antibody-negative PTR, cross-matched platelets and IVIG demonstrated no additional benefit in this cohort. For antibody-positive PTR, cross-matched platelets showed the most favorable response in this cohort; when unavailable, high-dose IVIG with random platelets may be preferentially considered. These comparative treatment findings require prospective validation.

Indexed as

alloimmunizationcorrected count increment (CCI)hematologic disordersintravenous immunoglobulin (IVIG)platelet antibodiesplatelet cross-matchingplatelet transfusion refractorinessrisk factors

Identifiers

PMID42827707
PMCPMC13630665

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