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Data Mining for Adverse Events of Tumor Necrosis Factor-Alpha Inhibitors in Pediatric Patients: Tree-Based Scan Statistic Analyses of Danish Nationwide Health Data
Clinical Epidemiology Division T2, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Clinical Epidemiology Division T2, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Örebro University, School of Medical Sciences. Örebro University Hospital. Department Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Pediatrics, Örebro University Hospital, Örebro, Sweden; Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, Nottingham, UK. 9 Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.ORCID iD: 0000-0003-1024-5602
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2020 (English)In: Clinical drug investigation, ISSN 1173-2563, E-ISSN 1179-1918, Vol. 40, no 12, p. 1147-1154Article in journal (Refereed) Published
Abstract [en]

BACKGROUND AND OBJECTIVES: Tumor necrosis factor-alpha (TNF-α) inhibitors are efficacious and considered generally safe in adults. However, pediatric-specific safety evidence is scarce. The aim of this study was to screen for signals of previously unknown adverse events of TNF-α inhibitors in pediatric patients.

METHODS: We conducted a data-mining study based on routinely collected, nationwide Danish healthcare data for 2004-2016. Using tree-based scan statistics to identify events with unexpectedly high incidence during TNF-α inhibitor use among patients with inflammatory bowel disease or juvenile idiopathic arthritis, two analyses were performed: comparison with episodes of no use and with other time periods from the same patient. Based on incident physician-assigned diagnosis codes from outpatient and inpatient visits in specialist care, we screened thousands of potential adverse events while adjusting for multiple testing.

RESULTS: We identified 1310 episodes of new TNF-α inhibitor use that met the eligibility criteria. Two signals of adverse events of TNF-α inhibitors, as compared with no use, were detected. First, there were excess events of dermatologic complications (ICD-10: L00-L99, 87 vs. 44 events, risk difference [RD] 3.3%), which have been described previously in adults and children. Second, there were excess events of psychiatric diagnosis adjustment disorders (ICD-10: F432, 33 vs. 7 events, RD 2.0%), which was likely associated with the underlying disease and its severity, rather than with the treatment. The self-controlled analysis generated no signal.

CONCLUSIONS: No signals of previously unknown adverse events of TNF-α inhibitors in pediatric patients were detected. The study showed that real-world data and newly developed methods for adverse events data mining can play a particularly important role in pediatrics where pre-approval drug safety data are scarce.

Place, publisher, year, edition, pages
Springer, 2020. Vol. 40, no 12, p. 1147-1154
National Category
Rheumatology and Autoimmunity Gastroenterology and Hepatology
Identifiers
URN: urn:nbn:se:oru:diva-86873DOI: 10.1007/s40261-020-00977-5ISI: 000584017300001PubMedID: 33104987Scopus ID: 2-s2.0-85093937505OAI: oai:DiVA.org:oru-86873DiVA, id: diva2:1484121
Funder
The Karolinska Institutet's Research FoundationSwedish Research Council, 2016-01974
Note

Funding Agencies:

Frimurare Barnhuset Foundation

Strategic Research Area Epidemiology program at Karolinska Institutet

Available from: 2020-10-28 Created: 2020-10-28 Last updated: 2020-12-10Bibliographically approved

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Ludvigsson, Jonas F.

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