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Published on: February 28, 2012
[Decisional algorithm to prescribe vitamin K antagonist in geriatric patients with atrial fibrillation]
Mehdi-Sylvain Sibai1, Fabienne Bellarbre1, Nisrin Ghazali1
1Pôle de gériatrie.
Insights
An algorithm aids prescribing vitamin K antagonists (VKA) for atrial fibrillation (AF) in elderly patients. This tool improves VKA decisions, potentially preventing prescriptions in those with poorer prognoses.
Area of Science:
- Geriatric Medicine
- Cardiology
- Pharmacology
Context:
- Atrial fibrillation (AF) management in geriatric patients presents challenges for anticoagulant therapy.
- Prescribing vitamin K antagonists (VKA) requires careful consideration due to increased risks in the elderly.
- Existing guidelines may not fully address the complexities of VKA use in this population.
Purpose:
- To develop and evaluate an algorithm for optimizing VKA prescription in elderly AF patients.
- To identify key criteria influencing VKA decision-making in this demographic.
- To assess the algorithm's impact on prescription patterns and patient outcomes.
Summary:
- A 6-criterion algorithm was developed to guide VKA prescription for AF in elderly patients (mean age 86.1).
- Criteria included bleeding history, autonomy, cognitive function (MMSE), fall risk, and comorbidities.
- The algorithm guided VKA prescription in 60.1% of patients, with lower rates in the oldest old.
Impact:
- The algorithm facilitates objective VKA prescription decisions in geriatric AF patients.
- Follow-up data showed no VKA-related bleeding events.
- Non-prescription of VKA was associated with higher mortality, suggesting the algorithm may prevent inappropriate prescriptions.
Abstract:
Preventing atrial fibrillation (AF) complications relies mainly on anticoagulant therapy. Still it is difficult to prescribe vitamin K antagonists (VKA) in geriatric patients with AF. In order to improve anticoagulation decision in this disease, we set up an algorithm. Charts of all patients with AF hospitalized between February and May 2012 were reviewed. Patients treated with anticoagulation for another indication (venous thromboembolism disease, prosthetic valve) were excluded. Algorithm was built-up with 6 criteria (past bleeding with VKA, autonomy (GIR score), MMSE score, risk of falls, co-morbidities index). Each criterion had a score (0, 0.5, 1 point) according to an intensity scale (light, moderate, high). The final algorithm composite score led to the prescription or not of VKA. Patients were followed-up during 6 months after discharge. One hundred and fifty-three patients were included, mean age 86.1 ± 5.6 years; 67.3% had a GIR score ≤3, 70.6% MMSE score < 23, and 83.7% a moderate risk of falls. According to the algorithm, 92 patients (60.1%) had a VKA prescription. Prescription was significantly less prescribed in the oldest old (p=0.02). Follow-up showed 4 bleeding events without any link with VKA prescription. Thirty-four patients died (22.2%), among 24 (34.4%) who did not have VKA (p=0.005). The algorithm improves VKA prescription according to an objective evaluation and probably prevents the prescription in the patients with the worse short term prognosis.
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