Real-time active surveillance for drug-induced Thrombocytopenia: A prospective interventional study
Year: 2026
Type: article
Abstract: Background: Drug-induced thrombocytopenia (DITP) is a severe adverse drug event that is frequently missed due to overlapping causes, such as sepsis or other conditions. In Vietnam, the spontaneous reporting system for DITP events has shown limited benefits, highlighting the need for active surveillance methods such as real-time signal monitoring. Objective: To develop and implement a real-time signal monitoring tool for DITP in hospitalized patients with pharmacist-led interventions. Methods: We included inpatients aged ≥18 years admitted between March 1 and November 1, 2024. Suspected DITP cases were identified using an integrated set of signals from a real-time active surveillance tool. Pharmacists assessed drug-event causality using the World Health Organization causality scale and provided management recommendations. Positive predictive values (PPV) were calculated for the alert. Results: 1337 positive signals were generated, involving 258 patients. Patients were predominantly male (66.7%) with a mean age of 65.1 (16.7) years, and most were admitted to the intensive care unit or emergency department. The overall PPV was 3.3%. Antibiotics were the most frequently suspected drug class associated with DITP, with confirmation rates varying by agent. Linezolid, heparin and meropenem had the highest confirmed associations, at 28.6%, 26.6% and 12.5%, respectively. In 17 cases with pharmacist intervention, drug discontinuation was documented in all cases, platelet transfusion in 3 patients, and recovery in 94.1% (16/17) of patients. Conclusion: Implementation of a real-time signal-based active surveillance system was associated with improved identification and structured assessment of suspected DITP cases, supporting the feasibility of routine active monitoring in clinical practice.
Authors: Ba Hai Le, Viet Phu Nguyen, Thi Huong Giang Nguyen, Thi Huong Giang Nguyen, Thi Cat Khanh Tran, Hieu Trong Le, Thi Ngoc Mai Vu, Duong Anh Minh Vu, Thi Hang Tran, Thi Thanh Phuong Doan, Thi Huong Phung, Huu Duy Nguyen, Thi Hong Hanh Nguyen, Thi Hong Hanh Nguyen, Thanh Hai Nguyen, Thanh Hai Nguyen
Language: English
Subfield: Toxicology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,140
OpenAlex ID: W7155937640
