| Detection of pharmacovigilance-related adverse events using electronic health records and automated methods. | |
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MedLine Citation:
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PMID: 22713699 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Electronic health records (EHRs) are an important source of data for detection of adverse drug reactions (ADRs). However, adverse events are frequently due not to medications but to the patients' underlying conditions. Mining to detect ADRs from EHR data must account for confounders. We developed an automated method using natural-language processing (NLP) and a knowledge source to differentiate cases in which the patient's disease is responsible for the event rather than a drug. Our method was applied to 199,920 hospitalization records, concentrating on two serious ADRs: rhabdomyolysis (n = 687) and agranulocytosis (n = 772). Our method automatically identified 75% of the cases, those with disease etiology. The sensitivity and specificity were 93.8% (confidence interval: 88.9-96.7%) and 91.8% (confidence interval: 84.0-96.2%), respectively. The method resulted in considerable saving of time: for every 1 h spent in development, there was a saving of at least 20 h in manual review. The review of the remaining 25% of the cases therefore became more feasible, allowing us to identify the medications that had caused the ADRs. |
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Authors:
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K Haerian; D Varn; S Vaidya; L Ena; H S Chase; C Friedman |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural Date: 2012-06-20 |
Journal Detail:
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Title: Clinical pharmacology and therapeutics Volume: 92 ISSN: 1532-6535 ISO Abbreviation: Clin. Pharmacol. Ther. Publication Date: 2012 Aug |
Date Detail:
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Created Date: 2012-07-24 Completed Date: 2012-10-18 Revised Date: 2013-04-24 |
Medline Journal Info:
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Nlm Unique ID: 0372741 Medline TA: Clin Pharmacol Ther Country: United States |
Other Details:
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Languages: eng Pagination: 228-34 Citation Subset: AIM; IM |
Affiliation:
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Department of Biomedical Informatics, Columbia University, New York, NY, USA. krh7003@dmi.columbia.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adverse Drug Reaction Reporting Systems
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organization & administration* Agranulocytosis / chemically induced Drug Toxicity / chemically induced* Electronic Health Records* Humans New York City Pharmaceutical Preparations / adverse effects* Pharmacovigilance* Rhabdomyolysis / chemically induced Sensitivity and Specificity |
| Grant Support | |
ID/Acronym/Agency:
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R01 LM010016/LM/NLM NIH HHS; R01:LM008635/LM/NLM NIH HHS; R01:LM010016/LM/NLM NIH HHS; R01:LM010016-0S1/LM/NLM NIH HHS; R01:LM010016-0S2/LM/NLM NIH HHS; R01:LM06910/LM/NLM NIH HHS; T15 LM007079/LM/NLM NIH HHS; T15:LM007079/LM/NLM NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/Pharmaceutical Preparations |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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