Background: Pharmacovigilance algorithms are used to assess the likelihood of adverse drug reaction (ADR) occurrence. The preferred instrument for use in the intensive care unit (ICU) is not established.
Objective: The primary objective of this study was to compare the agreement between the Kramer algorithm, Naranjo criteria and Jones algorithm for the evaluation of ADRs in the ICU. A secondary objective was to compare the agreement between the same pharmacovigilance algorithms for ADR determination when applied in a retrospective versus concurrent fashion in the ICU.
Study Design: There were two phases in this study. Phase I was the retrospective evaluation (i.e. after the patient was discharged from the hospital) conducted in patients admitted during July 2005 to June 2006. Phase II was the concurrent phase (i.e. while the patient was in the hospital) conducted over 6 weeks in 2008. Both phases were conducted at the University of Pittsburgh Medical Center and included adult patients admitted to the medical ICU.
Intervention: In phase I, a random sample of 261 medication signals were evaluated individually for potential ADRs using the Kramer algorithm, Naranjo criteria and Jones algorithm. In phase II, an active medication monitoring system was used to detect five abnormal laboratory values, resulting in a random sample of 253 signals that were evaluated using the same three algorithms.
Main Outcome Measure: Percentage agreement among the algorithms for all levels of causality was estimated using a kappa statistic for both phases of the study.
Results: For phase I, the kappa values were all >0.7 ranging from 0.721 to 0.855 between instruments, with Naranjo versus Kramer having the highest kappa, which is considered excellent agreement. The kappa statistic between individual instruments for phase II are <0.7 ranging from 0.423 to 0.635, which is considered moderate agreement, with Naranjo versus Jones displaying the lowest kappa while still exhibiting moderate agreement. For phase II, the Kramer algorithm had better agreement with both the Naranjo criteria and the Jones algorithm.
Conclusions: These instruments demonstrated similar results for evaluating ADRs in the ICU retrospectively, suggesting that instrument selection with any of the three instruments is reasonable. For concurrent ADR evaluations, there is greater variability in the level of causality obtained among pharmacovigilance algorithms and Kramer displayed better agreement with its comparators. A suggestion for a more definitive concurrent ADR assessment is to use more than one algorithm. This may be challenging in daily clinical practice; however, it is a reasonable expectation for research.
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http://dx.doi.org/10.1007/BF03261961 | DOI Listing |
Aging Clin Exp Res
January 2025
Department of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shaanxi, China.
Objective: This study aims to analyze adverse drug events (ADE) related to romosozumab from the second quarter of 2019 to the third quarter of 2023 from FAERS database.
Methods: The ADE data related to romosozumab from 2019 Q2 to 2023 Q3 were collected. After data normalization, four signal strength quantification algorithms were used: ROR (Reporting Odds Ratios), PRR (Proportional Reporting Ratios), BCPNN (Bayesian Confidence Propagation Neural Network), and EBGM (Empirical Bayesian Geometric Mean).
Ther Adv Drug Saf
January 2025
Department of Pharmacy, Daping Hospital, Army Medical University, No. 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China.
Background: Gilteritinib and midostaurin are FLT3 inhibitors that have made significant progress in the treatment of acute myeloid leukemia. However, their real-world safety profile in a large sample population is incomplete.
Objectives: We aimed to provide a pharmacovigilance study of the adverse events (AEs) associated with gilteritinib and midostaurin through the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database.
Purpose: Heart failure (HF) is a disease that leads to approximately 300,000 fatalities annually in Europe and 250,000 deaths each year in the United States. Type 2 Diabetes Mellitus (T2DM) is a significant risk factor for HF, and testing for N-terminal (NT)-pro hormone BNP (NT-proBNP) can aid in early detection of HF in T2DM patients. We therefore developed and validated the HFriskT2DM-HScore, an algorithm to predict the risk of HF in T2DM patients, so guiding NT-proBNP investigation in a primary care setting.
View Article and Find Full Text PDFSci Rep
January 2025
Xiamen University Affiliated Xiamen Eye Center, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Fujian Engineering and Research Center of Eye Regenerative Medicine, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, Fujian, China.
Macular degeneration is a leading cause of irreversible vision loss, significantly impacting quality of life. To enhance clinical practice and reduce the risk of drug-related macular degeneration, we analyzed drug-related trends using real-world data. Disproportionality analysis of adverse event reports from the FDA Adverse Event Reporting System (FAERS, 2004-2023) identified 67,683 cases involving 1402 drugs.
View Article and Find Full Text PDFBiomedicines
December 2024
Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
IL-6R inhibitors are widely used in many inflammation-related diseases, especially so during the COVID-19 pandemic. However, their relationship with gastrointestinal perforations (GIPs) has been reported more and more. We comprehensively analyzed IL-6R inhibitors in association with GIPs from the United States FDA Adverse Event Reporting System (FAERS).
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