# The Role of the Pharmacist in a Patient’s Care for Individuals Undergoing Anticoagulant Therapy: A Case Report

**Authors:** Ana M. Sáez-Benito, Loreto Sáez-Benito, María Salazar, Rosa Magallón, Nuria Berenguer

PMC · DOI: 10.3390/life14080986 · 2024-08-07

## TL;DR

A pharmacist's involvement helped improve anticoagulant therapy management in a patient through education and medication adjustments.

## Contribution

This case report demonstrates how pharmacist-led interventions can improve Time in Therapeutic Range in patients with favorable VKA profiles.

## Key findings

- A patient's TTR improved from suboptimal to 100% after pharmacist interventions.
- Educational and medication adjustments based on SAMe-TT2R2 and pharmacogenetics improved anticoagulant control.
- Patients with good VKA profiles can achieve better outcomes with pharmaceutical support.

## Abstract

Achieving clinical effectiveness with vitamin K antagonists (VKAs) requires a Time in Therapeutic Range (TTR) above 65%. TTR is influenced by genetics (CYP2C9, VKORC1, CYP4F2), treatment adherence, and knowledge. The SAMe-TT2R2 algorithm is used to assess VKA treatment suitability. In this case report, SAMe-TT2R2 and pharmacogenetic analysis were used to improve oral anticoagulant management in a patient with poor control of INR. An 84-year-old, obese male with atrial fibrillation, undergoing acenocoumarol therapy, had a suboptimal TTR. An assessment with the SAMe-TT2R2 algorithm indicated a favorable profile for VKA use. An educational intervention on vitamin K-rich foods was conducted, and his physician was informed about the interaction between omeprazole and acenocoumarol, recommending its replacement with pantoprazole. This intervention was accepted by the physician and, three months post-intervention, the patient’s TTR improved to 100%. Poor adherence and limited knowledge contributed to treatment failures in patients with a good VKA profile. Pharmaceutical interventions significantly improved TTR management. Patients with favorable genetic and clinical profiles could achieve adequate control of their anticoagulant medication through these interventions. Predictive tools may help select patients who can effectively and safely use VKAs through pharmaceutical interventions.

## Linked entities

- **Genes:** CYP2C9 (cytochrome P450 family 2 subfamily C member 9) [NCBI Gene 1559], VKORC1 (vitamin K epoxide reductase complex subunit 1) [NCBI Gene 79001], CYP4F2 (cytochrome P450 family 4 subfamily F member 2) [NCBI Gene 8529]
- **Chemicals:** acenocoumarol (PubChem CID 54676537), omeprazole (PubChem CID 4594), pantoprazole (PubChem CID 4679)
- **Diseases:** atrial fibrillation (MONDO:0004981)

## Full-text entities

- **Genes:** VKORC1 (vitamin K epoxide reductase complex subunit 1) [NCBI Gene 79001] {aka EDTP308, MST134, MST576, VKCFD2, VKOR}, CYP4F2 (cytochrome P450 family 4 subfamily F member 2) [NCBI Gene 8529] {aka CPF2}, CYP2C9 (cytochrome P450 family 2 subfamily C member 9) [NCBI Gene 1559] {aka CPC9, CYP2C, CYP2C10, CYPIIC9, P450-2C9, P450IIC9}
- **Diseases:** obese (MESH:D009765), atrial fibrillation (MESH:D001281)
- **Species:** Homo sapiens (human, species) [taxon 9606]

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Source: https://tomesphere.com/paper/PMC11355091