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Routine Screening Method for Microparticles in Platelet Transfusions
Published on: January 31, 2018
Influencing Factor Analysis and Predictive Model Development for Platelet Transfusion Refractoriness in Pediatric
Kelu Huang1, Zheng Luo1, Haiyan Peng1
1Department of Blood Transfusion, Changde First People's Hospital, No. 818, Renmin Road, Wuling District , Changde, Hunan Province 415000 China.
Summary
Platelet transfusion refractoriness (PTR) in pediatric oncology is predicted by platelet count, prothrombin time, APTT, and D-dimer. A validated nomogram model aids in stratifying PTR risk for better transfusion management.
Area of Science:
- Hematology
- Oncology
- Biostatistics
Background:
- Platelet transfusion refractoriness (PTR) complicates treatment for pediatric oncology patients.
- Optimizing platelet transfusion outcomes requires accurate risk prediction.
Purpose of the Study:
- To identify risk factors for PTR in pediatric oncology.
- To develop and validate a predictive model for PTR.
Main Methods:
- Retrospective cohort analysis of pediatric oncology patients receiving platelet transfusions.
- Multivariable logistic regression to identify independent PTR predictors (platelet count, PT, APTT, D-dimer).
- Development and validation of a nomogram integrating clinical parameters (PLT, Hb, PT, APTT, D-D).
Main Results:
- Elevated platelet count showed an inverse association with PTR risk (OR=1.396).
- Elevated PT, APTT, and D-dimer were directly associated with increased PTR risk (OR: 0.794, 0.943, <0.001).
- The developed nomogram demonstrated excellent discriminatory power (AUC=0.962) and high calibration accuracy.
Conclusions:
- Platelet count, PT, APTT, and D-dimer are key predictors of PTR in pediatric oncology.
- The validated nomogram provides a precise tool for PTR risk stratification.
- This model can guide targeted interventions to optimize platelet transfusion management.
