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[ontolog-forum] NCBO Webinar: Do Proton Pump Inhibitors increase the ris

To: "[ontolog-forum]" <ontolog-forum@xxxxxxxxxxxxxxxx>
From: Trish Whetzel <plwhetzel@xxxxxxxxx>
Date: Tue, 18 Sep 2012 00:36:16 +0100
Message-id: <CAE4f=ngcqztrEoL2g0mR6yJC+4iPcrSJsM2hErdChRB_DmEjrA@xxxxxxxxxxxxxx>
The next NCBO Webinar will be presented by Dr. Nigam Shah from Stanford University on "Do Proton Pump Inhibitors increase the risk of Myocardial Infarction? -- insights from mining clinical notes" at 10:00am PT, Wednesday, Sep. 19.  Below is information on how to join the online meeting via WebEx and accompanying teleconference. For the full schedule of the NCBO Webinar presentations see: http://www.bioontology.org/webinar-series.

The current state of the art in post-marketing drug surveillance utilizes voluntarily submitted reports of suspected adverse drug reactions. As adoption of electronic health records increases, we present an approach based on analyzing the unstructured clinical notes, which can enable rapid pharmacovigilance. Using this approach we find that proton pump inhibitors (PPIs) as a class appear strongly associated with major adverse cardiovascular events, increasing the risk of myocardial infarction by 20-50% depending upon the individual PPI. The association of PPIs with such events was hypothesized based on experimental results that show that PPIs, as a class, elevate plasma levels of asymmetric dimethylarginine, a disease marker and an independent predictor of major adverse cardiovascular events.

We show that it is possible to investigate adverse drug event associations with high accuracy (72% sensitivity, 83% specificity) by analyzing textual notes in a clinical data warehouse using ontology-driven methods. We examine suspected associations for confounding via stratification and propensity score matching. We find that such an analysis of textual clinical notes could detect adverse drug events 2 years before the official alert. We argue that data-mining of unstructured clinical notes may expand meaningful use of the electronic health records for post-marketing drug surveillance and for rapid retrospective analysis of adverse event risk elucidated by experimental methods, such as in our case study on proton pump inhibitors.

Dr. Nigam H. Shah is an Assistant Professor of Medicine (Biomedical Informatics) at the Stanford School of Medicine. Dr. Shah's research is focused on developing applications of bio-ontologies, specifically building novel approaches to annotate, index, integrate and analyze diverse information types available in biomedicine. Dr. Shah holds an MBBS from Baroda Medical College, India, a PhD from Penn State University, USA and completed post-doctoral training at the Stanford Medical School.

To start or join the online meeting
Go to https://stanford.webex.com/stanford/j.php?ED=171726072&UID=481527042&PW=NMzhlMDBjNzk0&RT=MiM0

Meeting Number: 925 756 393
Meeting Password: ncbo

Audio conference information
To receive a call back, provide your phone number when you join the meeting, or call the number below and enter the access code.
Call-in toll number (US/Canada): 1-650-429-3300
Global call-in numbers: https://stanford.webex.com/stanford/globalcallin.php?serviceType=MC&ED=171726072&tollFree=0

Access code: 925 756 393

Trish Whetzel, PhD
Outreach Coordinator
The National Center for Biomedical Ontology
Ph: 650-721-2378

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