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Published on: March 14, 2017
Red cell transfusion in orthopaedic surgery: a benchmark study performed combining data from different data sources.
Franco Verlicchi1, Fausto Desalvo, Gabriele Zanotti
1Transfusion Service Department of Clinical Pathology and Transfusion Medicine, Ravenna, Italy. f.verlicchi@ausl.ra.it
Integrating data from multiple sources reveals significant variations in blood transfusion practices among orthopaedic divisions. This approach helps optimize blood usage by understanding transfusion needs based on patient and procedure factors.
Area of Science:
- Medical Informatics
- Healthcare Management
- Transfusion Medicine
Background:
- Assessing blood transfusion appropriateness requires understanding the conditions leading to blood use.
- Previous research highlights the value of integrating diverse data sources to analyze transfusion practice variations.
Purpose of the Study:
- To combine blood transfusion data with patient information to analyze transfusion practices in orthopaedic surgery.
- To identify factors influencing red blood cell transfusion rates and variations between clinical divisions.
Main Methods:
- Data from Blood Bank and Hospital Discharge databases (ICD9) were integrated for 1,827 orthopaedic procedures (hip/knee replacements, femoral fracture operations).
- Patient demographics, surgical procedure type, and transfusion outcomes were analyzed.
- For a subset, data were further combined with laboratory hemoglobin values.
Main Results:
- Over half (56.8%) of the procedures resulted in red blood cell transfusion.
- Transfusion likelihood varied by patient sex, age, and surgical procedure, with higher rates for post-femoral fracture operations and hip revision surgeries (approx. 70%).
- Significant variability in transfusion rates was observed across seven divisions, even for similar procedures, indicating factors beyond surgical type.
Conclusions:
- Integrating data from disparate sources offers an efficient method for gaining insights into transfusion practices.
- This integrated approach can contribute to the optimization of blood resource utilization in healthcare settings.
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