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February 1, 2025BMJ Open9 citationsOpen Access

Temporal trends in guideline-recommended medical therapy after an acute heart failure decompensation event: an observational analysis from Generator Heart Failure DataMart

RLRenzo LaboranteADAgni DelviniotiATAndrada Mihaela Tudor

Key Points

  • To evaluate temporal trends in the prescription of four foundational guideline-directed medical therapies and determine their impact on 30-day urgent readmission and all-cause mortality following acute heart failure decompensation.
  • Retrospective single-center study evaluating N=999 consecutive patients admitted with acute heart failure with reduced ejection fraction (HFrEF) between January 2020 and June 2023, identified via an AI-based data platform.

Structured PICO

Does the prescription of guideline-recommended medical therapy reduce the composite of all-cause death and urgent rehospitalisation at 30 days in patients with HFrEF following an acute decompensation event?

P
Population
999 consecutive patients admitted with a primary diagnosis of HFrEF following an acute decompensation event at one tertiary referral centre between January 2020 and June 2023.
I
Intervention
Prescription of the four foundational guideline-recommended medical therapies (beta-blockers, ACEi/ARB/ARNi, mineralocorticoid receptor antagonists, and SGLT2 inhibitors).
O
Outcome
Trends and predictors of the prescription of each of the four foundational therapies and of the composite of all-cause death and rehospitalisation for urgent causes at 30 days.composite

Early adoption of guideline-recommended medical therapy remains limited after acute HFrEF decompensation, though SGLT2 inhibitor use has risen significantly, and ACEi/ARB/ARNi use is associated with reduced 30-day death and urgent readmission.

Abstract

OBJECTIVES: To evaluate the trend of prescription of the four foundational therapies, and their impact on 30-day urgent re-admissions and all-cause death in patients with heart failure and reduced ejection fraction (HFrEF) following an acute decompensation event. DESIGN: Retrospective. SETTING: One tertiary referral centre. PARTICIPANTS: 999 consecutively patients admitted with a primary diagnosis of HFrEF between January 2020 and June 2023 were identified through a validated, high-performance technology infrastructure based on artificial intelligence. The entire cohort was divided into three time periods based on two time points: September 2021 (ie, the release of the latest European guidelines) and January 2022 (ie, reimbursement for sodium-glucose cotransporter 2 (SGLT2) inhibitors). PRIMARY AND SECONDARY OUTCOME MEASURES: Trends and predictors of the prescription of each of the four foundational therapies and of the composite of all-cause death and rehospitalisation for urgent causes at 30 days. RESULTS: Among the 999 included patients, β-blockers were prescribed in 93% of patients, ACE inhibitor (ACEi)/angiotensin receptor blocker (ARB)/angiotensin-neprilysin receptor inhibitor (ARNi) in 73%, mineralocorticoid receptor antagonist in 30% and SGLT2 inhibitors in 18%. Over time, an increase in the prescription rate occurred only for SGLT2 inhibitors (3% vs 10% vs 32%, p<0.001), whereas the rate of the composite of all-cause death and rehospitalisation for urgent causes at 30 days remained stable (9.9% vs 10.3% vs 8.4%; p=ns). In multivariate analysis, the use of ACEi/ARB/ARNi was associated with a lower risk of 30-day all-cause death and urgent rehospitalisation (adjusted OR 0.38; 95% CI 0.24 to 0.59; p<0.01). Conversely, the prescription of furosemide at discharge (adjusted OR 2.25; 95% CI 95% 1.29 to 3.94; p<0.01) and a previous genitourinary infection (adjusted OR 4.02; 95% CI 1.67 to 9.68; p<0.01) were associated with higher risk of 30-day all-cause death and urgent rehospitalisation. CONCLUSIONS: In our study, early adoption of guideline-recommended medical therapy is still limited, with a significant rise in SGLT2i prescriptions after January 2022 and a lower risk of the composite of all-cause death and urgent readmissions at 30 days restricted to the use of ACEi/ARB/ARNi.

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Cite This Study

Laborante et al. (2025) studied this question.

synapsesocial.com/papers/6a1a75e39fa30811a0b8a1c6https://doi.org/10.1136/bmjopen-2024-088998
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