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  1. Article ; Online: Categorization and association analysis of risk factors for adverse drug events.

    Zhou, Lina / Rupa, Anamika Paul

    European journal of clinical pharmacology

    2017  Volume 74, Issue 4, Page(s) 389–404

    Abstract: Purpose: Adverse drug events (ADE) are among the leading causes of morbidity and hospitalization. This review analyzes risk factors for ADE, particularly their categorizations and association patterns, the prevalence, severity, and preventability of ADE, ...

    Abstract Purpose: Adverse drug events (ADE) are among the leading causes of morbidity and hospitalization. This review analyzes risk factors for ADE, particularly their categorizations and association patterns, the prevalence, severity, and preventability of ADE, and method characteristics of reviewed studies.
    Methods: Literature search was conducted via PubMed, Science Direct, CINAHL, and MEDLINE. A review was conducted of research articles that reported original data about specific risk factors for ADE since 2000. Data analyses were performed using Excel and R.
    Results: We summarized 211 risk factors for ADE, and grouped them into five main categories: patient-, disease-, medication-, health service-, and genetics-related. Among them, medication- and disease-related risk factors were most frequently studied. We further classified risk factors within each main category into subtypes. Among them, polypharmacy, age, gender, central nervous system agents, comorbidity, service utilization, inappropriate use/change use of drugs, cardiovascular agents, and anti-infectives were most studied subtypes. An association analysis of risk factors uncovered many interesting patterns. The median prevalence, preventability, and severity rate of reported ADE was 19.5% (0.29%~86.2%), 36.2% (2.63%~91%), and 16% (0.01%~47.4%), respectively.
    Conclusions: This review introduced new categories and subtypes of risk factors for ADE. The broad and in-depth coverage of risk factors and their association patterns elucidate the complexity of risk factor analysis. Managing risk factors for ADE is crucial for improving patient safety, particularly for the elderly, comorbid, and polypharmacy patients. Some under-explored risk factors such as genetics, mental health and wellness, education, lifestyle, and physical environment invite future research.
    MeSH term(s) Drug-Related Side Effects and Adverse Reactions/classification ; Drug-Related Side Effects and Adverse Reactions/diagnosis ; Drug-Related Side Effects and Adverse Reactions/epidemiology ; Drug-Related Side Effects and Adverse Reactions/prevention & control ; Humans ; Prevalence ; Protective Factors ; Risk Assessment ; Risk Factors ; Severity of Illness Index
    Language English
    Publishing date 2017-12-08
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 121960-1
    ISSN 1432-1041 ; 0031-6970
    ISSN (online) 1432-1041
    ISSN 0031-6970
    DOI 10.1007/s00228-017-2373-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: GT2RDF: Semantic Representation of Genetic Testing Data.

    Paul Rupa, Anamika / Singh, Sweta / Zhu, Qian

    AMIA ... Annual Symposium proceedings. AMIA Symposium

    2017  Volume 2016, Page(s) 1060–1069

    Abstract: Accelerated by the Human Genome Project, genetic testing has become an increasingly integral component in diagnosis, treatment, management, and prevention of numerous diseases and conditions. More than 480 laboratories perform genetic tests for more than ...

    Abstract Accelerated by the Human Genome Project, genetic testing has become an increasingly integral component in diagnosis, treatment, management, and prevention of numerous diseases and conditions. More than 480 laboratories perform genetic tests for more than 4,600 rare and common medical conditions. These tests can effectively help health professionals to determine or predict the genetic conditions of their patients. However, physicians have not actively incorporated such innovative genetic technology into their clinical practices according to two national wide surveys commissioned by UnitedHealth Group. To fill the gap of insufficient use of a large number of genetic tests, we generated a single Resource Description Framework (RDF) resource, called GT2RDF (Genetic Testing data to RDF) by integrating information about disease, gene, phenotype, genetic test, and drug from multiple sources including Genetic Testing Registry (GTR), Online Mendelian Inheritance in Man (OMIM), MedGen, Human Phenotype Ontology (HPO), ClinVar, National Drug File Reference Terminology (NDF-RT). Meanwhile, we manually annotated and extracted information from 200 randomly selected GeneReviews chapters, and integrated into the GT2RDF. We performed two case studies to demonstrate the usability of the GT2RDF. GT2RDF will serve as a data foundation to support the design of a genetic testing recommendation system, called iGenetics, which will ultimately facilitate the pace of precision medicine by means of actively and effectively incorporating innovative genetic technology in clinical settings.
    MeSH term(s) Databases, Genetic ; Genetic Testing/utilization ; Humans ; Information Storage and Retrieval ; Semantics ; Vocabulary, Controlled
    Language English
    Publishing date 2017-02-10
    Publishing country United States
    Document type Journal Article
    ISSN 1942-597X
    ISSN (online) 1942-597X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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