Accuracy of Adverse Event Ascertainment in Clinical Trials for Pediatric Acute Myeloid Leukemia

Author:

Miller Tamara P.1,Li Yimei1,Kavcic Marko1,Troxel Andrea B.1,Huang Yuan-Shun V.1,Sung Lillian1,Alonzo Todd A.1,Gerbing Robert1,Hall Matt1,Daves Marla H.1,Horton Terzah M.1,Pulsipher Michael A.1,Pollard Jessica A.1,Bagatell Rochelle1,Seif Alix E.1,Fisher Brian T.1,Luger Selina1,Gamis Alan S.1,Adamson Peter C.1,Aplenc Richard1

Affiliation:

1. Tamara P. Miller, Yimei Li, Marko Kavcic, Yuan-Shun V. Huang, Rochelle Bagatell, Alix E. Seif, Brian T. Fisher, Peter C. Adamson, and Richard Aplenc, The Children’s Hospital of Philadelphia; Yimei Li, Andrea B. Troxel, Rochelle Bagatell, Alix E. Seif, Brian T. Fisher, Selina Luger, Peter C. Adamson, and Richard Aplenc, University of Pennsylvania School of Medicine, Philadelphia, PA; Lillian Sung, The Hospital for Sick Children, Toronto, Ontario, Canada; Todd A. Alonzo and Michael A. Pulsipher, University...

Abstract

Purpose Reporting of adverse events (AEs) in clinical trials is critical to understanding treatment safety, but data on AE accuracy are limited. This study sought to determine the accuracy of AE reporting for pediatric acute myeloid leukemia clinical trials and to test whether an external electronic data source can improve reporting. Methods Reported AEs were evaluated on two trials, Children’s Oncology Group AAML03P1 and AAML0531 arm B, with identical chemotherapy regimens but with different toxicity reporting requirements. Chart review for 12 AEs for patients enrolled in AAML0531 at 14 hospitals was the gold standard. The sensitivity and positive predictive values (PPV) of the AAML0531 AE report and AEs detected by review of Pediatric Health Information System (PHIS) billing and microbiology data were compared with chart data. Results Select AE rates from AAML03P1 and AAML0531 arm B differed significantly and correlated with the targeted toxicities of each trial. Chart abstraction was performed on 204 patients (758 courses) on AAML0531. AE report sensitivity was < 50% for eight AEs, but PPV was > 75% for six AEs. AE reports for viridans group streptococcal bacteremia, a targeted toxicity on AAML0531, had a sensitivity of 78.3% and PPV of 98.1%. PHIS billing data had higher sensitivity (> 50% for nine AEs), but lower PPV (< 75% for 10 AEs). Viridans group streptococcal detection using PHIS microbiology data had high sensitivity (92.3%) and PPV (97.3%). Conclusion The current system of AE reporting for cooperative oncology group clinical trials in pediatric acute myeloid leukemia underestimates AE rates. The high sensitivity and PPV of PHIS microbiology data suggest that using external data sources may improve the accuracy of AE reporting.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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