Abstract
ImportancePulmonary embolism (PE) is a life-threatening condition with high morbidity and mortality. The diagnosis of PE is challenging due to nonspecific symptoms, making reliable diagnostic tools essential. This study addresses the clinical impact of inter-assay variability in D-dimer measurements on the utilization and diagnostic yield of computed tomography pulmonary angiography (CTPA). ObjectiveTo investigate the effect of different D-dimer assays on the decision to perform CTPA and the subsequent diagnostic yield in patients with suspected PE. DesignThis retrospective cohort study analyzed data from three teaching hospitals in the Netherlands, covering the years 2018, 2019, 2022, and 2023. SettingMulticenter study involving three teaching hospitals in the south-west region of the Netherlands. ParticipantsThe study included data from 40,096 clinically requested D-dimer results and 11,372 CTPA records of patients with suspected PE. The D-dimer assays used were the Roche Tinaquant and Siemens Innovance. ResultsThe study found significant differences in CTPA utilization and diagnostic yield based on the D-dimer assay used. Hospitals using the Roche Tinaquant assay ordered 21% fewer CTPAs and had an 7% higher positivity rate compared to those using the Siemens Innovance assay. Conclusion and relevanceThe findings highlight the necessity for assay-specific cut-off values or, ideally, the standardization of the D-dimer assay to optimize the accuracy and efficiency of PE diagnosis. This study demonstrates that the choice of D-dimer assay significantly influences the clinical management of suspected PE, affecting both the number of CTPAs performed and the positivity rate of these scans. Implementing assay-specific cut-off values or standardization of the D-dimer assay could reduce unnecessary CTPA scans, minimize patient exposure to radiation, and lower healthcare costs. These results advocate for enhanced collaboration between clinicians and laboratory specialists to accurately interpret D-dimer results within the context of the specific assay used. Future research should validate these findings in prospective studies and explore standardized protocols that account for inter-assay variability.
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