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Clinical and Socioeconomic Determinants of Angiotensin Receptor-Neprilysin Inhibitor Prescription at Hospital Discharge in Patients With Heart Failure With Reduced Ejection Fraction. | LitMetric

AI Article Synopsis

  • Angiotensin receptor-neprilysin inhibitor (ARNI) prescriptions in the U.S. for heart failure patients are low despite evidence of their benefits; economic factors may hinder access for some individuals.
  • An analysis of over 136,000 patients revealed that a small percentage (12.6%) received an ARNI at discharge, with previous ARNI use and insurance status being significant predictors of prescription rates.
  • There’s a growing trend in ARNI prescriptions over time; however, the gap between rates in distressed versus affluent communities is widening, indicating ongoing disparities in healthcare access.

Article Abstract

Background: Angiotensin receptor-neprilysin inhibitor (ARNI) prescription in the United States remains suboptimal despite strong evidence for efficacy and value in heart failure with reduced ejection fraction. Factors responsible for under prescription are not completely understood. Economic limitations may play a disproportionate role in reduced access for some patients.

Methods: This is an analysis of the Get With The Guidelines-Heart Failure registry, supplemented with data from the Distressed Community Index. Data were fit to a mixed-effects regression model to investigate clinical and socioeconomic factors associated with ARNI prescription at hospital discharge. Missing data were handled by multilevel multiple imputation.

Results: Of the 136 144 patients included in analysis, 12.6% were prescribed an ARNI at discharge. The dominant determinants of ARNI prescription were ARNI use while inpatient (odds ratio [OR], 72 [95% CI, 58-89]; <0.001) and taking an ARNI before hospitalization (OR 9 [95% CI, 7-13]; <0.001). Having an ACE (angiotensin-converting enzyme) inhibitor/angiotensin receptor blocker (ARB)/ARNI contraindication was associated with lower likelihood of ARNI prescription at discharge (OR, 0.11 [95% CI, 0.10-0.12]; <0.001). Socioeconomic factors associated with lower likelihood of ARNI prescription included having no insurance (OR, 0.60 [95% CI, 0.50-0.72]; <0.001) and living in a ZIP Code identified as distressed (OR, 0.81 [95% CI, 0.70-0.93]; =0.010). The rate of ARNI prescription is increasing with time (OR, 2 [95% CI, 1.8-2.3]; <0.001 for patients discharged in 2020 as opposed to 2017), but the disparity in prescription rates between distressed and prosperous communities appears to be increasing.

Conclusions: Multiple medical and socioeconomic factors contribute to low rates of ARNI prescription at hospital discharge. Potential targets for improving ARNI prescription rates include initiating ARNIs during hospitalization and aggressively addressing patients' access barriers with the support of inpatient social services and pharmacists.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673159PMC
http://dx.doi.org/10.1161/CIRCHEARTFAILURE.121.009395DOI Listing

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