Literature DB >> 18175291

Estimating the extent of reporting to FDA: a case study of statin-associated rhabdomyolysis.

Mara McAdams1, Judy Staffa, Gerald Dal Pan.   

Abstract

PURPOSE: To estimate the extent of reporting to FDA through statin-associated rhabdomyolysis data.
METHODS: Data included incidence rates (IRs) of hospitalized rhabdomyolysis among statin users from a population-based study, and comparable reported AERS cases and national estimates of statin use from an AERS analysis. Using IRs, national estimates of statin use and average days supply per prescription, we estimated the number of US statin-associated cases of hospitalized rhabdomyolysis. We compared this estimate to the observed number of cases reported to FDA to evaluate the extent of reporting. We repeated this method for atorvastatin, cerivastatin, pravastatin, and simvastatin and statin combinations. We performed sensitivity analyses to check for biases such as misclassification of statin use and cohort selection bias. We evaluated potential time-dependent cerivastatin reporting by a "Dear Health Care Provider (DHCP)" letter.
RESULTS: The estimated extent of reporting to FDA varied by statin (atorvastatin, 5.0%; cerivastatin, 31.2%; simvastatin, 14.2%; all four combined, 17.7%; and non-cerivastatin statins combined, 9.9%). No pravastatin-associated cohort cases occurred. Across a reasonable value range, sensitivity analyses did not significantly alter the results; overall the cohort was similar to national statin-users. There was a large increase in AERS reports after the cerivastatin DHCP letter and the estimated extent of reporting increased from 14.8 to 35.0%.
CONCLUSIONS: The extent of reporting of adverse events to FDA varied by statin and may be influenced by publicity. For statins-associated rhabdomyolysis, the estimated extent of reporting appears to range from 5 to 30% but in the absence of stimulated reporting appears to be 5-15%. Copyright 2008 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18175291     DOI: 10.1002/pds.1535

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  21 in total

1.  Ongoing challenges in pharmacovigilance.

Authors:  Gerald J Dal Pan
Journal:  Drug Saf       Date:  2014-01       Impact factor: 5.606

2.  Profiling cumulative proportional reporting ratios of drug-induced liver injury in the FDA Adverse Event Reporting System (FAERS) database.

Authors:  Allen D Brinker; Jenna Lyndly; Joseph Tonning; David Moeny; Jonathan G Levine; Mark I Avigan
Journal:  Drug Saf       Date:  2013-12       Impact factor: 5.606

3.  Evaluating performance of electronic healthcare records and spontaneous reporting data in drug safety signal detection.

Authors:  Vaishali K Patadia; Martijn J Schuemie; Preciosa Coloma; Ron Herings; Johan van der Lei; Sabine Straus; Miriam Sturkenboom; Gianluca Trifirò
Journal:  Int J Clin Pharm       Date:  2014-12-09

4.  Muscular Adverse Drug Reactions Associated with Proton Pump Inhibitors: A Disproportionality Analysis Using the Italian National Network of Pharmacovigilance Database.

Authors:  Alice Capogrosso Sansone; Irma Convertino; Maria Teresa Galiulo; Stefano Salvadori; Stefania Pieroni; Tamara Knezevic; Stefania Mantarro; Alessandra Marino; Manfred Hauben; Corrado Blandizzi; Marco Tuccori
Journal:  Drug Saf       Date:  2017-10       Impact factor: 5.606

5.  Effect of Lawyer-Submitted Reports on Signals of Disproportional Reporting in the Food and Drug Administration's Adverse Event Reporting System.

Authors:  James R Rogers; Ameet Sarpatwari; Rishi J Desai; Justin M Bohn; Nazleen F Khan; Aaron S Kesselheim; Michael A Fischer; Joshua J Gagne; John G Connolly
Journal:  Drug Saf       Date:  2019-01       Impact factor: 5.606

6.  US Food and Drug Administration Safety Advisories and Reporting to the Adverse Event Reporting System (FAERS).

Authors:  Thomas J Moore; Richard L Morrow; Colin R Dormuth; Barbara Mintzes
Journal:  Pharmaceut Med       Date:  2020-04

7.  Mining clinical text for signals of adverse drug-drug interactions.

Authors:  Srinivasan V Iyer; Rave Harpaz; Paea LePendu; Anna Bauer-Mehren; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2013-10-24       Impact factor: 4.497

8.  Trends in reporting methadone-associated cardiac arrhythmia, 1997-2011: an analysis of registry data.

Authors:  David Kao; Becki Bucher Bartelson; Vaishali Khatri; Richard Dart; Philip S Mehler; David Katz; Mori J Krantz
Journal:  Ann Intern Med       Date:  2013-05-21       Impact factor: 25.391

9.  Rhabdomyolysis a result of azithromycin and statins: an unrecognized interaction.

Authors:  Johanna Strandell; Andrew Bate; Staffan Hägg; I Ralph Edwards
Journal:  Br J Clin Pharmacol       Date:  2009-09       Impact factor: 4.335

10.  Breaking the news or fueling the epidemic? Temporal association between news media report volume and opioid-related mortality.

Authors:  Nabarun Dasgupta; Kenneth D Mandl; John S Brownstein
Journal:  PLoS One       Date:  2009-11-18       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.