Literature DB >> 19890254

A pharmacovigilance program from laboratory signals for the detection and reporting of serious adverse drug reactions in hospitalized patients.

E Ramirez1, A J Carcas, A M Borobia, S H Lei, E Piñana, S Fudio, J Frias.   

Abstract

The detection and reporting of serious adverse drug reactions (SADRs) have become important components of monitoring and evaluation activities performed in hospitals. We present the implementation of a prospective pharmacovigilance program based on automatic laboratory signals (ALSs) at a hospital. We also report the general findings after the first year of operation of the program, which involved ALSs that indicate various SADRs: agranulocytosis, aplastic anemia, liver injury, thrombocytopenia, hyponatremia, and rhabdomyolysis. The number of hospitalizations during the year was 54,525, and 1,732 patients experienced at least one ALS. The review of electronic medical records (EMRs) showed that no alternative cause (i.e., no non-SADR explanation) for the ALS was identified in 520 (30%) of the patients. After the individual ALS-patient evaluation, a total of 110 SADRs (6.35% of those identified after reviewing EMRs and 21.15% of those requiring individual patient evaluations) were identified. In other words, in order to identify a single SADR, we had to review the electronic records of approximately 16 patients and personally visit 5 patients.

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Year:  2009        PMID: 19890254     DOI: 10.1038/clpt.2009.185

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  22 in total

1.  Drug-induced life-threatening potassium disturbances detected by a pharmacovigilance program from laboratory signals.

Authors:  Elena Ramírez; Tomás Rossignoli; Armando J Campos; Raúl Muñoz; Claudia Zegarra; Hoi Tong; Nicolás Medrano; Alberto M Borobia; Antonio J Carcas; Jesús Frías
Journal:  Eur J Clin Pharmacol       Date:  2012-05-31       Impact factor: 2.953

2.  Statistical Mining of Potential Drug Interaction Adverse Effects in FDA's Spontaneous Reporting System.

Authors:  Rave Harpaz; Krystl Haerian; Herbert S Chase; Carol Friedman
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

3.  Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions.

Authors:  Rave Harpaz; Santiago Vilar; William Dumouchel; Hojjat Salmasian; Krystl Haerian; Nigam H Shah; Herbert S Chase; Carol Friedman
Journal:  J Am Med Inform Assoc       Date:  2012-10-31       Impact factor: 4.497

4.  Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records.

Authors:  Mei Liu; Eugenia Renne McPeek Hinz; Michael Edwin Matheny; Joshua C Denny; Jonathan Scott Schildcrout; Randolph A Miller; Hua Xu
Journal:  J Am Med Inform Assoc       Date:  2012-11-17       Impact factor: 4.497

5.  A method for controlling complex confounding effects in the detection of adverse drug reactions using electronic health records.

Authors:  Ying Li; Hojjat Salmasian; Santiago Vilar; Herbert Chase; Carol Friedman; Ying Wei
Journal:  J Am Med Inform Assoc       Date:  2013-08-01       Impact factor: 4.497

6.  Detection of pharmacovigilance-related adverse events using electronic health records and automated methods.

Authors:  K Haerian; D Varn; S Vaidya; L Ena; H S Chase; C Friedman
Journal:  Clin Pharmacol Ther       Date:  2012-06-20       Impact factor: 6.875

Review 7.  Novel data-mining methodologies for adverse drug event discovery and analysis.

Authors:  R Harpaz; W DuMouchel; N H Shah; D Madigan; P Ryan; C Friedman
Journal:  Clin Pharmacol Ther       Date:  2012-06       Impact factor: 6.875

8.  Pattern Discovery from High-Order Drug-Drug Interaction Relations.

Authors:  Wen-Hao Chiang; Titus Schleyer; Li Shen; Lang Li; Xia Ning
Journal:  J Healthc Inform Res       Date:  2018-06-18

9.  E-pharmacovigilance: development and implementation of a computable knowledge base to identify adverse drug reactions.

Authors:  Antje Neubert; Harald Dormann; Hans-Ulrich Prokosch; Thomas Bürkle; Wolfgang Rascher; Reinhold Sojer; Kay Brune; Manfred Criegee-Rieck
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

10.  Eosinophilic drug reactions detected by a prospective pharmacovigilance programme in a tertiary hospital.

Authors:  Elena Ramírez; Nicolás Medrano-Casique; Hoi Y Tong; Teresa Bellón; Rosario Cabañas; Ana Fiandor; Jessica González-Ramos; Pedro Herranz; Elena Trigo; Mario Muñoz; Alberto M Borobia; Antonio J Carcas; Jesús Frías
Journal:  Br J Clin Pharmacol       Date:  2016-10-12       Impact factor: 4.335

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