Diagnostic performance of lymphocyte transformation test and flow cytometry in the identification of culprit drugs in organ-specific serious adverse drug reactions.
Carmen Ruiz-Fernández, Ibtissam Akatbach-Bousaid, Olga Rogozina, Susana Martín-López, Miguel Álvarez Montero, Ramon Pardo Puras, Zoraida Del Solar Moreno, Fiorela C Dueñas López, Mikel Urroz Elizalde, Ana Martínez Feito, Miguel González-Muñoz, Elena Ramírez
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引用次数: 0
Abstract
Objectives: Serious adverse drug reactions (SADRs) require robust causality assessment methods. Identifying the culprit drug relies on clinical history, causality algorithms, and in vitro tests. The lymphocyte transformation test (LTT) is widely used, but flow cytometry has been proposed as an alternative due to LTT's limitations. This study evaluated the diagnostic performance of LTT and CD69 upregulation on T lymphocytes by flow cytometry.
Methods: A total of 148 patients (150 SADRs) with at least a "possible" algorithmic causality score (≥4) were assessed using LTT and flow cytometry. Twenty-five healthy individuals served as negative controls. Over 98 % of cases were organ-specific reactions, with drug-induced liver injury being most frequent (52.6 %), and systemic antibiotics the most implicated drug group (29.7 %).
Results: 400 suspected drugs were analyzed. LTT and flow cytometry were positive in 43 and 30 % of patients, respectively. For cases with an algorithmic score≥6, sensitivity increased to 50 % for LTT and 33 % for flow cytometry. Sensitivity varied by reaction type (LTT: 17-47 %; flow cytometry: 20-38 %) and drug group (LTT: 17-86 %; flow cytometry: 18-50 %). Combining both tests improved sensitivity to 50-63 % by reaction type and 50-100 % by drug group. An algorithmic score≥6 combined with both tests further increased overall sensitivity to 70 %.
Conclusions: These findings show the added value of integrating multiple in vitro diagnostic approaches with causality algorithms to improve culprit drug identification in organ-specific SADRs. Future studies are needed to validate these findings.
期刊介绍:
Diagnosis focuses on how diagnosis can be advanced, how it is taught, and how and why it can fail, leading to diagnostic errors. The journal welcomes both fundamental and applied works, improvement initiatives, opinions, and debates to encourage new thinking on improving this critical aspect of healthcare quality. Topics: -Factors that promote diagnostic quality and safety -Clinical reasoning -Diagnostic errors in medicine -The factors that contribute to diagnostic error: human factors, cognitive issues, and system-related breakdowns -Improving the value of diagnosis – eliminating waste and unnecessary testing -How culture and removing blame promote awareness of diagnostic errors -Training and education related to clinical reasoning and diagnostic skills -Advances in laboratory testing and imaging that improve diagnostic capability -Local, national and international initiatives to reduce diagnostic error