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A summary of the Transfusion Transmitted Injuries Surveillance System: 2006 - 2012
A Mounchili1, S Leduc1, C Archibald1
1Centre for Communicable Diseases and Infection Control, Public Health Agency of Canada, Ottawa, ON.
The Transfusion Transmitted Injuries Surveillance System (TTISS) tracked 3,957 adverse transfusion reactions between 2006-2012. Most reactions had minor outcomes, highlighting the importance of surveillance for patient safety.
Area of Science:
- Public Health
- Hematology
- Patient Safety
Background:
- The Transfusion Transmitted Injuries Surveillance System (TTISS) is a Canadian system for monitoring adverse transfusion reactions.
- Established by the Public Health Agency of Canada in partnership with provinces and territories.
- Aims to enhance patient safety in transfusion services.
Purpose of the Study:
- To summarize transfusion-related adverse reactions reported to the TTISS from 2006 to 2012.
- Analyze the types and frequencies of adverse events associated with blood component and product transfusions.
- Assess the impact of these reactions on patient outcomes.
Main Methods:
- Data collected from hospitals across 10 provinces and two territories.
- Adverse transfusion reactions and injuries were submitted to provincial/territorial blood coordinating offices.
- Data was consolidated, cleaned, validated, and analyzed by reaction type and outcome, with rates calculated using transfusion volumes.
Main Results:
- 3,957 adverse reactions reported (excluding minor allergic reactions).
- Blood component transfusion reactions included circulatory overload (42.5%), severe allergic reactions (14.1%), and hypotensive reactions (10.2%).
- Blood product reactions included IVIG headache (28.5%) and delayed hemolytic reactions (16.9%); transfusion-related death was rare.
Conclusions:
- Most transfusion reactions resulted in minor or no long-term effects.
- Strengthening the TTISS is crucial for monitoring adverse reactions and improving patient safety.
- Initiatives include developing recognition algorithms and improving data denominators for accurate rate calculation.
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