Literature DB >> 33620701

Clinical Utility of Pharmacogenomic Data Collected by a Health-System Biobank to Predict and Prevent Adverse Drug Events.

Sonam N Shah1,2, Roseann S Gammal3,4, Mary G Amato5,3, Maryam Alobaidly3, Dariel Delos Reyes3, Sarah Hasan3, Diane L Seger6, Joel B Krier4,7, David W Bates5,6,7.   

Abstract

INTRODUCTION: Medication-related harm represents a significant issue for patient safety and quality of care. One strategy to avoid preventable adverse drug events is to utilize patient-specific factors such as pharmacogenomics (PGx) to individualize therapy.
OBJECTIVE: We measured the number of patients enrolled in a health-system biobank with actionable PGx results who received relevant medications and assessed the incidence of adverse drug events (ADEs) that might have been prevented had the PGx results been used to inform prescribing.
METHODS: Patients with actionable PGx results in the following four genes with Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines were identified: HLA-A*31:01, HLA-B*15:02, TPMT, and VKORC1. The patients who received interacting medications (carbamazepine, oxcarbazepine, thiopurines, or warfarin) were identified, and electronic health records were reviewed to determine the incidence of potentially preventable ADEs.
RESULTS: Of 36,424 patients with PGx results, 2327 (6.4%) were HLA-A*31:01 positive; 3543 (9.7%) were HLA-B*15:02 positive; 2893 (7.9%) were TPMT intermediate metabolizers; and 4249 (11.7%) were homozygous for the VKORC1 c.1639 G>A variant. Among patients positive for one of the HLA variants who received carbamazepine or oxcarbazepine (n = 92), four (4.3%) experienced a rash that warranted drug discontinuation. Among the TPMT intermediate metabolizers who received a thiopurine (n = 56), 11 (19.6%) experienced severe myelosuppression that warranted drug discontinuation. Among patients homozygous for the VKORC1 c.1639 G>A variant who received warfarin (n = 379), 85 (22.4%) experienced active bleeding and/or international normalized ratio (INR) > 5 that warranted drug discontinuation or dose reduction.
CONCLUSION: Patients with actionable PGx results from a health-system biobank who received relevant medications experienced predictable ADEs. These ADEs may have been prevented if the patients' PGx results were available in the electronic health record with clinical decision support prior to prescribing.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 33620701     DOI: 10.1007/s40264-021-01050-6

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  25 in total

1.  Engaging and Empowering Stakeholders to Advance Pharmacogenomics.

Authors:  Karryn R Crisamore; Thomas D Nolin; James C Coons; Philip E Empey
Journal:  Clin Pharmacol Ther       Date:  2019-06-26       Impact factor: 6.875

Review 2.  The Outlier in All of Us: Why Implementing Pharmacogenomics Could Matter for Everyone.

Authors:  P H O'Donnell; K Danahey; M J Ratain
Journal:  Clin Pharmacol Ther       Date:  2016-02-15       Impact factor: 6.875

3.  Medical error-the third leading cause of death in the US.

Authors:  Martin A Makary; Michael Daniel
Journal:  BMJ       Date:  2016-05-03

4.  US Emergency Department Visits for Outpatient Adverse Drug Events, 2013-2014.

Authors:  Nadine Shehab; Maribeth C Lovegrove; Andrew I Geller; Kathleen O Rose; Nina J Weidle; Daniel S Budnitz
Journal:  JAMA       Date:  2016-11-22       Impact factor: 56.272

Review 5.  Research Directions in the Clinical Implementation of Pharmacogenomics: An Overview of US Programs and Projects.

Authors:  Simona Volpi; Carol J Bult; Rex L Chisholm; Patricia A Deverka; Geoffrey S Ginsburg; Howard J Jacob; Melpomeni Kasapi; Howard L McLeod; Dan M Roden; Marc S Williams; Eric D Green; Laura Lyman Rodriguez; Samuel Aronson; Larisa H Cavallari; Joshua C Denny; Lynn G Dressler; Julie A Johnson; Teri E Klein; J Steven Leeder; Micheline Piquette-Miller; Minoli Perera; Laura J Rasmussen-Torvik; Heidi L Rehm; Marylyn D Ritchie; Todd C Skaar; Nikhil Wagle; Richard Weinshilboum; Kristin W Weitzel; Robert Wildin; John Wilson; Teri A Manolio; Mary V Relling
Journal:  Clin Pharmacol Ther       Date:  2018-03-30       Impact factor: 6.875

Review 6.  Pharmacogenomics.

Authors:  Dan M Roden; Howard L McLeod; Mary V Relling; Marc S Williams; George A Mensah; Josh F Peterson; Sara L Van Driest
Journal:  Lancet       Date:  2019-08-05       Impact factor: 79.321

7.  Clinically actionable genotypes among 10,000 patients with preemptive pharmacogenomic testing.

Authors:  S L Van Driest; Y Shi; E A Bowton; J S Schildcrout; J F Peterson; J Pulley; J C Denny; D M Roden
Journal:  Clin Pharmacol Ther       Date:  2013-11-19       Impact factor: 6.875

Review 8.  Cost-effectiveness of pharmacogenetic-guided treatment: are we there yet?

Authors:  M Verbelen; M E Weale; C M Lewis
Journal:  Pharmacogenomics J       Date:  2017-06-13       Impact factor: 3.550

9.  Clinical Pharmacogenetics Implementation Consortium Guideline for HLA Genotype and Use of Carbamazepine and Oxcarbazepine: 2017 Update.

Authors:  Elizabeth J Phillips; Chonlaphat Sukasem; Michelle Whirl-Carrillo; Daniel J Müller; Henry M Dunnenberger; Wasun Chantratita; Barry Goldspiel; Yuan-Tsong Chen; Bruce C Carleton; Alfred L George; Taisei Mushiroda; Teri Klein; Roseann S Gammal; Munir Pirmohamed
Journal:  Clin Pharmacol Ther       Date:  2018-02-02       Impact factor: 6.875

10.  ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing.

Authors:  Robert C Green; Jonathan S Berg; Wayne W Grody; Sarah S Kalia; Bruce R Korf; Christa L Martin; Amy L McGuire; Robert L Nussbaum; Julianne M O'Daniel; Kelly E Ormond; Heidi L Rehm; Michael S Watson; Marc S Williams; Leslie G Biesecker
Journal:  Genet Med       Date:  2013-06-20       Impact factor: 8.822

View more
  3 in total

1.  Pathway to Ascertain the Role of Pharmacogenomics in Healthcare Utilization Outcomes [Letter].

Authors:  Youssef M Roman
Journal:  Pharmgenomics Pers Med       Date:  2021-03-26

2.  A Data-Driven Medical Decision Framework for Associating Adverse Drug Events with Drug-Drug Interaction Mechanisms.

Authors:  Adeeb Noor
Journal:  J Healthc Eng       Date:  2022-03-03       Impact factor: 2.682

Review 3.  Recent Progress in Traditional Chinese Medicines and Their Mechanism in the Treatment of Allergic Rhinitis.

Authors:  Dehong Mao; Zhongmei He; Linglong Li; Yuting Lei; Maodi Xiao; Huimin Zhang; Feng Zhang
Journal:  J Healthc Eng       Date:  2022-04-11       Impact factor: 3.822

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.