Analyzing real world data of blood transfusion adverse events: Opportunities and challenges. Issue 5 (19th April 2022)

• Record Type: Journal Article
• Authors: Jhaveri, Perrin; Bozkurt, Selen; Moyal, Axel; Belov, Artur; Anderson, Steven; Shan, Hua; Whitaker, Barbee; Hernandez‐Boussard, Tina
• Is Part Of: Transfusion. Volume 62:Issue 5(2022)
• Page Start: 1019
• Page End: 1026
• Publication Date: 2022-04-19
• Subjects: blood transfusions -- electronic health records -- transfusion related adverse events; Hematology -- Periodicals; Blood -- Transfusion -- Periodicals; Blood Group Antigens -- Periodicals; Blood Preservation -- Periodicals; Blood Transfusion -- Periodicals; 615
• DOI: 10.1111/trf.16880
• Languages: English
• ISSNs: 0041-1132

Abstract

Abstract: Background: Blood transfusions are a vital component of modern healthcare, yet adverse reactions to blood product transfusions can cause morbidity, and rarely result in mortality. Therefore, accurate reporting of transfusion related adverse events (TRAEs) is paramount to improved transfusion practice. This study aims to investigate real‐world data (RWD) on TRAEs by evaluating differences between ICD 9/10‐based electronic health records (EHR) and blood bank‐specific reporting. Study Design and Methods: TRAE data were retrospectively collected from a blood bank‐specific database between Jan 2015 and June 2019 as the reference data source and compared it to ICD 9/10 diagnostic codes corresponding to various TRAEs. Seven reactions that have corresponding ICD 9/10 diagnostic codes were evaluated: Transfusion related circulatory overload (TACO), transfusion related acute lung injury (TRALI), febrile non‐hemolytic reaction (FNHTR), transfusion‐related anaphylactic reaction (TRA), acute hemolytic transfusion reaction (AHTR), delayed hemolytic transfusion reaction (DHTR), and delayed serologic reaction (DSTR). These accounted for 33% of the TRAEs at an academic institution during the study period. Results: Among 18637 adult blood transfusion recipients, there were 229 unique patients with 263 TRAE related ICD codes in the EHR, while there were 191 unique patients with 287 TRAEs identified in the blood bank database. None of the categories of reaction we investigated had perfect alignment between ICD 9/10 codes and blood bank specific diagnoses. Discussion: Multiple systemic challenges were identified that hinder effective reporting of TRAEs. Identifying factors causing inconsistent reporting between blood banks and EHRs is paramount to developing effective workability between these electronic systems, as well as across clinical and laboratory teams.