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Impact and applicability of pharmacogenomics in rheumatology: an integrated analysis.
Reid, Pankti; Danahey, Keith; Lopez Velazquez, Marco; Ratain, Mark J; O'Donnell, Peter H.
Affiliation
  • Reid P; Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, and Section of Rheumatology, Department of Medicine, University of Chicago, IL, USA. pankti.reid@uchospitals.edu.
  • Danahey K; Center for Research Informatics, and Center for Personalized Therapeutics, University of Chicago, IL, USA.
  • Lopez Velazquez M; Section of Rheumatology, Department of Medicine, University of Chicago, IL, USA.
  • Ratain MJ; Committee on Clinical Pharmacology and Pharmacogenomics, Center for Personalized Therapeutics, and Department of Medicine, University of Chicago, IL, USA.
  • O'Donnell PH; Committee on Clinical Pharmacology and Pharmacogenomics, Center for Personalized Therapeutics, and Department of Medicine, University of Chicago, IL, USA.
Clin Exp Rheumatol ; 39(6): 1385-1393, 2021.
Article in En | MEDLINE | ID: mdl-33506753
OBJECTIVES: Rheumatology medications are often associated with adverse drug reactions (ADRs) or inadequate response (IR). Pharmacogenomics may be a solution, but there is limited knowledge of its potential utility within rheumatology. METHODS: We analysed medication changes and pharmacogenomically actionable prescriptions for all adult rheumatology outpatient encounters at our medical centre between 10/2012-12/2018. Three sources defined pharmacogenomic actionability: FDA labels, Clinical Pharmacogenetics Implementation Consortium guidelines, and our institutionally-deliverable pharmacogenomic clinical decision support (CDS) summaries. A subset of patients (validation cohort) had previously undergone broad, preemptive pharmacogenomic testing within other clinics but results were unavailable within rheumatology. We assessed the occurrence of specific pharmacogenomic ADRs/IRs in this group. RESULTS: From 174,834 prescribing events, 6300/7761 patients (81%) had clinically actionable pharmacogenomic drug prescriptions (i.e. institutional CDS summaries would have been deployable if testing had been done). Using more conservative standards (pharmacogenomically actionable by ≥2 guidance bodies), 4158/7761 (54%) patient prescriptions could have been impacted. The greatest proportions of potentially impacted rheumatologic prescriptions were for tramadol (47%), allopurinol (21%), azathioprine (17%) and celecoxib (8%). Among our validation cohort (94 previously-genotyped patients), 29 (31%) patients had a pharmacogenomic genotype that would have cautioned possible ADRs/IRs for ≥1 medication. Four patients actually suffered ADRs/IRs that would have been predicted by preemptive genotyping. CONCLUSIONS: Pharmacogenomic genotyping could inform prescribing for the majority of rheumatology patients and may prevent a subset of ADRs/IRs. These findings justify prospective evaluation of pharmacogenomic testing including assessment of cost-effectiveness in selected rheumatology populations to further understand impact on therapy-related toxicities and treatment outcomes.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rheumatology / Drug-Related Side Effects and Adverse Reactions Type of study: Guideline / Prognostic_studies Limits: Adult / Humans Language: En Journal: Clin Exp Rheumatol Year: 2021 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rheumatology / Drug-Related Side Effects and Adverse Reactions Type of study: Guideline / Prognostic_studies Limits: Adult / Humans Language: En Journal: Clin Exp Rheumatol Year: 2021 Type: Article Affiliation country: United States