Literature DB >> 35145831

Idiopathic Symptoms Resolved by Pharmacogenomics-Enriched Comprehensive Medication Management: A Case Report.

April Prather1, Aissa Aifaoui2, Jeffrey A Shaman2.   

Abstract

Clinical manifestations of biological aging can be remarkably similar to the side effects of frequently used medications. Fatigue, muscle pain, and confusion are common and often not shared as part of proper geriatric patient history. When patients report them, a root cause is usually confounding. These symptoms not only negatively impact health and wellness outcomes, patient quality of life, and increase costs to the healthcare system, but also may be a limitation on provider best practices. The patient, a 71-year-old female of European descent, enrolled in pharmacogenomics-enriched comprehensive medication management (PGx+CMM) program through her retirement benefit. At the time of testing, she was approximately 18 months post cerebrovascular accident and was being observed by her primary care provider for common chronic conditions. Of interest, she had been manifesting unreported clinical symptoms of fatigue, hypotension, and myalgia. Addressing these patient concerns and specifically focusing on an individual's goals, fears, and basic needs, rather than concentrating merely on the absence of disease, is the crux of personalized medicine and programs that address the notion of healthy aging. The patient's therapeutic regimen was adjusted based on PGx+CMM pharmacist review, use of a clinical decision support system (CDSS), and communication of recommendations to the prescribing physician. The patient saw rapid improvements in symptoms, suggesting they were caused by medication side effects. Her blood pressure and cholesterol levels remained controlled while noticeable side effects were eliminated. This case study demonstrates the positive impacts of personalized medicine and shows how pharmacists can be empowered with a CDSS to positively impact healthcare.
Copyright © 2022, Prather et al.

Entities:  

Keywords:  adverse drug reactions; aging; clinical decision support system; cytochrome p-450; drug metabolism; healthy aging; personalized medicine; pharmacogenomics; polypharmacy

Year:  2022        PMID: 35145831      PMCID: PMC8809208          DOI: 10.7759/cureus.21834

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


  25 in total

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Authors:  Jeffrey K Aronson
Journal:  Br J Clin Pharmacol       Date:  2009-06       Impact factor: 4.335

2.  Multiple chronic conditions among adults aged 45 and over: trends over the past 10 years.

Authors:  Virginia M Freid; Amy B Bernstein; Mary Ann Bush
Journal:  NCHS Data Brief       Date:  2012-07

Review 3.  Decision analysis.

Authors:  S G Pauker; J P Kassirer
Journal:  N Engl J Med       Date:  1987-01-29       Impact factor: 91.245

Review 4.  Pharmacogenomics in the clinic.

Authors:  Mary V Relling; William E Evans
Journal:  Nature       Date:  2015-10-15       Impact factor: 49.962

5.  Impact of CYP2D6 genotype on adverse effects during treatment with metoprolol: a prospective clinical study.

Authors:  Richard Fux; Klaus Mörike; Anne M T Pröhmer; Ursula Delabar; Matthias Schwab; Elke Schaeffeler; Gernot Lorenz; Christoph H Gleiter; Michel Eichelbaum; Kari T Kivistö
Journal:  Clin Pharmacol Ther       Date:  2005-10       Impact factor: 6.875

6.  Functional characterization of SLCO1B1 (OATP-C) variants, SLCO1B1*5, SLCO1B1*15 and SLCO1B1*15+C1007G, by using transient expression systems of HeLa and HEK293 cells.

Authors:  Yoshio Kameyama; Keiko Yamashita; Kaoru Kobayashi; Masakiyo Hosokawa; Kan Chiba
Journal:  Pharmacogenet Genomics       Date:  2005-07       Impact factor: 2.089

7.  SLCO1B1 variants and statin-induced myopathy--a genomewide study.

Authors:  E Link; S Parish; J Armitage; L Bowman; S Heath; F Matsuda; I Gut; M Lathrop; R Collins
Journal:  N Engl J Med       Date:  2008-07-23       Impact factor: 91.245

8.  Frailty and Intrinsic Capacity: Two Distinct but Related Constructs.

Authors:  Giulia Belloni; Matteo Cesari
Journal:  Front Med (Lausanne)       Date:  2019-06-18

9.  The twin questions of personalized medicine: who are you and whom do you most resemble?

Authors:  Isaac S Kohane
Journal:  Genome Med       Date:  2009-01-20       Impact factor: 11.117

Review 10.  What is polypharmacy? A systematic review of definitions.

Authors:  Nashwa Masnoon; Sepehr Shakib; Lisa Kalisch-Ellett; Gillian E Caughey
Journal:  BMC Geriatr       Date:  2017-10-10       Impact factor: 4.070

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