Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study
0301 basic medicine
COVID-19 Vaccines
/dk/atira/pure/subjectarea/asjc/3000/3004
/dk/atira/pure/subjectarea/asjc/3000/3005
610
COVID-19
name=Toxicology
Thrombosis
name=Pharmacology
Vacunes -- Efectes secundaris
Thrombocytopenia
3. Good health
Fenotip
Cohort Studies
name=Pharmacology (medical)
03 medical and health sciences
Phenotype
SDG 3 - Good Health and Well-being
Trombocitopènia
/dk/atira/pure/subjectarea/asjc/2700/2736
Humans
Original Research Article
Algorithms
Retrospective Studies
DOI:
10.1007/s40264-022-01187-y
Publication Date:
2022-06-02T10:04:56Z
AUTHORS (26)
ABSTRACT
Vaccine-induced thrombotic thrombocytopenia (VITT) has been identified as a rare but serious adverse event associated with coronavirus disease 2019 (COVID-19) vaccines. In this study, we explored the pre-pandemic co-occurrence of thrombosis (TWT) using 17 observational health data sources across world. We applied multiple TWT definitions, estimated background rate TWT, characterized patients, and makeup types among patients. conducted an international network retrospective cohort study electronic records insurance claims data, estimating rates amongst persons observed from 2017 to 2019. Following principles existing VITT clinical was defined patients diagnosis embolic or arterial venous events measurement within 7 days. Six phenotypes were considered, which varied in approach taken defining real world data. Overall incidence ranged 1.62 150.65 per 100,000 person-years. Substantial heterogeneity exists by age, sex, alternative phenotypes. likely be men older age various comorbidities. Among types, most common. Our findings suggest that identifying presents substantial challenge, implementing case definitions based on results large heterogeneous patints baseline characteristics are inconsistent cases reported date.
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CITATIONS (8)
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