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. Author manuscript; available in PMC: 2024 Oct 1.
Published in final edited form as: J Am Geriatr Soc. 2023 Jun 22;71(10):3110–3121. doi: 10.1111/jgs.18481

Table 3.

Trend of Use of Heart Failure Medications in Patients with Heart Failure and Reduced Ejection Fraction, 2015 to 2019, by Frailty

Medications 2015 2016 2017 2018 2019 P-value for yearly trendb P for yearly trend by frailtyb
ARNI
 Frail 0.3% 3.3% 7.4% 10.7% 13.7% <0.001 0.940
 Non-frail 0.4% 3.9% 8.6% 12.5% 16.4% <0.001
ACE inhibitors
 Frail 53.2% 50.9% 47.0% 43.6% 40.8% <0.001 0.001
 Non-frail 59.3% 57.5% 52.9% 49.4% 46.1% <0.001
ARB
 Frail 21.6% 22.8% 22.3% 22.6% 21.8% 0.051 0.979
 Non-frail 24.0% 25.3% 25.0% 24.8% 23.7% <0.001
MRA
 Frail 28.4% 30.4% 31.0% 31.2% 31.6% <0.001 <0.001
 Non-frail 28.3% 31.6% 33.1% 33.5% 34.4% <0.001
Evidence-based beta-blockersa
 Frail 85.4% 86.7% 87.1% 87.2% 86.8% <0.001 <0.001
 Non-frail 86.4% 88.0% 88.8% 88.9% 88.9% <0.001
Hydralazine + Isosorbide dinitrate
 Frail 2.2% 2.4% 2.6% 2.5% 2.2% <0.001 0.588
 Non-frail 1.1% 1.3% 1.5% 1.4% 1.4% 0.005
Loop diuretics
 Frail 73.6% 76.7% 77.0% 76.3% 75.6% 0.477 <0.001
 Non-frail 60.2% 65.2% 66.2% 65.4% 64.0% 0.033
All 3 of ARNI/ACE inhibitors/ARB + beta-blockers + MRA
 Frail 19.6% 21.3% 21.6% 21.8% 21.8% <0.001 <0.001
 Non-frail 22.0% 24.8% 25.9% 26.4% 27.0% <0.001
2 of ARNI/ACE inhibitors/ARB + beta-blockers + MRA
 Frail 51.1% 50.6% 50.1% 50.0% 49.4% 0.011 0.017
 Non-frail 55.1% 54.5% 53.6% 53.2% 52.5% <0.001
1 of ARNI/ACE inhibitors/ARB + beta-blockers + MRA
 Frail 24.1% 23.4% 23.8% 23.5% 24.0% <0.001 <0.001
 Non-frail 18.7% 17.3% 17.4% 17.2% 17.3% <0.001
None of ARNI/ACE inhibitors/ARB + beta-blockers + MRA
 Frail 5.2% 4.7% 4.6% 4.6% 4.8% <0.001 <0.001
 Non-frail 4.2% 3.4% 3.2% 3.2% 3.2% <0.001

Abbreviations: ACE, angiotensin converting enzyme; ARB, angiotensin receptor blockers; ARNI, angiotensin receptor neprilysin inhibitor; MRA, mineralocorticoid receptor antagonists.

a

Evidence-based beta-blockers include carvedilol, metoprolol succinate, and bisoprolol.

b

The receipt of a heart failure medication class or GDMT was modeled as a function of year (continuous variable), frailty status (binary), and their interaction term, adjusting for age, sex, race, dual eligibility, Alzheimer’s disease and related dementias, anemia, atrial fibrillation, cancer, chronic kidney disease, chronic obstructive pulmonary disease, depression, diabetes, hip or pelvic fracture, hypertension, myocardial infarction, osteoporosis, rheumatoid arthritis or osteoarthritis, and stroke or transient ischemic attack, Gagne combined comorbidity index, cardiology visit within the past 30 days, ≥2 heart failure hospitalizations within the past year, and heart failure hospitalization within the past 30 days, using generalized estimating equation logistic regression with exchangeable correlation structure to account for correlation within the same individuals.