Abstract
Background Guidelines recommend heart failure (HF) patients be treated with multiple medications at doses proven to improve clinical outcomes. Objective To study guideline-led prescribing in an Irish outpatient HF population. Setting Cardiology Outpatient Clinic, Mercy University Hospital, Cork, Ireland. Methods Guideline-led prescribing was assessed using the Guideline Adherence Index (GAI-3), that considered the prescribing of ACE inhibitors and angiotensin receptor blockers; beta-blockers and mineralocorticoid receptor antagonists. The GAI-based target dose was calculated based on the prescription of ≥ 50% of the guideline-recommended target dose of each of the three GAI medications to HF patients with ejection fraction ≤ 40%. High-GAI was achieved by prescription of ≥ 2 GAI medicines. Potentially inappropriate prescribing was assessed using a HF-specific tool. Main outcome measure Heart failure guideline-led prescribing assessed using the GAI-3. Results A total of 127 HF patients, mean age 71.7 ± 13.1 years, were identified in the study. Seventy-one patients had ejection fraction ≤ 40%. Population mean GAI-3 was 65.8%. When contraindications to therapy are considered, the adjusted GAI-3 increased to 72.9%. The target dose GAI was 18.5%. High-GAI management was prescribed to 54 patients (76.1%). A potentially inappropriate medicine in HF was prescribed to 14 (19.7%) patients. Conclusion Most HF patients with ejection fraction ≤ 40% in this setting received optimal guideline-led prescribing however the proportion of patients achieving the target doses of these agents was suboptimal.
| Original language | English |
|---|---|
| Pages (from-to) | 1082-1089 |
| Number of pages | 8 |
| Journal | International Journal of Clinical Pharmacy |
| Volume | 43 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Aug 2021 |
Keywords
- Beta-blockers
- Guideline adherence index
- Guideline-directed medical therapies
- Guideline-led prescribing
- Heart failure
- Inappropriate prescribing
- Renin-angiotensin system
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