Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2024Implementation of CYP2C19 and CYP2D6 genotyping to guide antidepressant use in a large rural health system4citations
  • 2023Abstract 13948: Real World De-Escalation Practices in Genotype Guided P2Y12 Inhibitor Therapy and Pharmacoeconomic Implicationscitations
  • 2022Development and early evaluation of clinical decision support for long QT syndrome population screening6citations

Places of action

Chart of shared publication
Petry, Natasha J.
1 / 1 shared
Jacobsen, Kristen
1 / 1 shared
Heukelom, Joel Van
3 / 3 shared
Mills, Sarah
1 / 2 shared
Baye, Jordan F.
1 / 1 shared
Figueroa, Debbie
1 / 1 shared
Weaver, Max
1 / 1 shared
Stys, Tom P.
1 / 1 shared
Hajek, Catherine
2 / 4 shared
Maryniak, Andrii
1 / 1 shared
Berg, Kristen De
1 / 2 shared
Baye, Jordan
1 / 1 shared
Petry, Natasha
1 / 1 shared
Chart of publication period
2024
2023
2022

Co-Authors (by relevance)

  • Petry, Natasha J.
  • Jacobsen, Kristen
  • Heukelom, Joel Van
  • Mills, Sarah
  • Baye, Jordan F.
  • Figueroa, Debbie
  • Weaver, Max
  • Stys, Tom P.
  • Hajek, Catherine
  • Maryniak, Andrii
  • Berg, Kristen De
  • Baye, Jordan
  • Petry, Natasha
OrganizationsLocationPeople

article

Development and early evaluation of clinical decision support for long QT syndrome population screening

  • Hajek, Catherine
  • Massmann, Amanda
  • Heukelom, Joel Van
  • Berg, Kristen De
  • Baye, Jordan
  • Petry, Natasha
Abstract

<jats:p>Aim: Long QT syndrome (LQTS) is an inherited condition that predisposes individuals to prolongation of the QT interval and increased risk for Torsade de Pointes. Pathogenic variants in three genes - KCNH2, KCNQ1 and SCN5A - are responsible for most cases of LQTS, and recent advances in genetic testing have improved knowledge of the disease, increased access to follow-up, and reduced adverse cardiovascular outcomes.Methods: Based around our preemptive genetic screening platform which includes the three long QT genes listed above, we developed and implemented a clinical decision support (CDS) module that alerts prescribers whenever a QT-prolonging medication is ordered for patients with a genetic predisposition to LQTS.Results: Of the 13,777 individuals screened, twenty-seven tested positive for a pathogenic or likely pathogenic variant of KCNH2, KCNQ1 or SCN5A. In a subsequent early evaluation of the CDS and clinical processes, the number of QT-prolonging medications in this cohort decreased by 20% and new QT-prolonging medications were avoided in approximately 1/3 of new prescription orders.Conclusions: While long-term evaluation is needed, early data support the benefit of utilizing CDS in expanded roles, such as drug-gene-disease interactions where rare genetic variants intersect with everyday prescribing.</jats:p>

Topics
  • impedance spectroscopy