Repository logo
  • English
  • 中文
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
    Communities & Collections
    Research Outputs
    Fundings & Projects
    People
    Organizations
    Statistics
  • English
  • 中文
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Medicine / 醫學院
  3. School of medicine / 醫學系
  4. Real-World Experience of Angiotensin Receptor-Neprilysin Inhibition in Reduced Ejection Fraction Heart Failure Patients With Advanced Kidney Disease.
 
  • Details
Options

Real-World Experience of Angiotensin Receptor-Neprilysin Inhibition in Reduced Ejection Fraction Heart Failure Patients With Advanced Kidney Disease.

Type
article
Resource
Mayo Clinic Proceedings, Volume 98, Issue 1, 2023, Pages 88-99
Date Issued
2023-01
Author(s)
徐千彝  
Hung-Yu Chang, Chun-Cheng Lin, Chieh-Ju Chao, Yi-Cheng Lin, Yao-Chang Wang, Chia-Te Liao, Jin-Long Huang, Ying-Hsiang Lee, Chun-Yao Huang, Li-Nien Chien, Chien-Yi Hsu
Subjects
內科學科
Description
【112-1 升等】臺北醫學大學教師升等專門著作
職別:專任
送審等級:副教授
著作送審
Abstract
Abstract: Objective To investigate the effectiveness and safety of angiotensin receptor-neprilysin inhibitors (ARNIs) in real-world patients with heart failure with reduced ejection fraction (HFrEF) and advanced chronic kidney disease (estimated glomerular filtration rate [eGFR] < 30 mL/min per 1.73 m2), which have been excluded from the landmark trials. Patients and Methods This study examined 3281 patients pooled from two multicenter HFrEF cohorts, and 661 patients with baseline eGFR less than 30 mL/min per 1.73 m2 were further analyzed (the Taiwan Society of Cardiology – Heart Failure with reduced Ejection Fraction (TSOC-HFrEF) registry: May 1, 2013 to October 31, 2014, and the Treatment with Angiotensin Receptor neprilysin inhibitor fOr Taiwan Heart Failure patients (TAROT-HF) study: March 1, 2017, to December 31, 2018). Propensity score matching was performed to adjust for confounders. At 1-year follow-up, all-cause mortality, total heart failure hospitalizations, renal function, and left ventricular ejection fraction (LVEF) were used as the endpoints. Results After propensity score matching, 510 patients (age, 69.8±13.9 years; male, 61.0%; mean LVEF, 29.8±7.3%; mean eGFR, 19.8±9.0 mL/min per 1.73 m2) were included in the final analysis, including 278 patients receiving ARNI treatment (ARNI group) and 232 patients not on ARNI treatment (non-ARNI group). Baseline characteristics were comparable between the two groups. At 1 year, eGFR and LVEF measurements were significantly higher in the ARNI group than in the non-ARNI group (25.0±17.1 mL/min per 1.73 m2 vs 21.4±17.5 mL/min per 1.73 m2; P=.04; and 40.1±12.9% vs. 33.1±10.8%, P<.001, respectively). The ARNI group had significantly lower risks of 1-year all-cause mortality (19.4 vs 30.9 per 100-person year; P=.02), and total HF rehospitalizations (70.0 vs 110.4 per 100-person year; P=.01) than non-ARNI users. Conclusion Our results show the effectiveness of ARNIs in HFrEF patients with advanced chronic kidney disease in a real-world setting.
URI
https://203.71.86.71/handle/123456789/14983

Copyright Notice

● The digital content on this platform is part of the Taipei Medical University Institutional Repository, featuring various academic works and outputs from the institution. It offers free access to academic research and public education for non-commercial use.

● Please use the content appropriately and within legal boundaries to respect copyright owners' rights. For commercial use, please obtain prior authorization from the copyright owner. Users must not use TMUIR for any illegal purposes.

● By utilising the platform, users are deemed to have fully accepted and understood all the regulations set out in this statement, relevant laws of the Republic of China, all international internet regulations, and usage conventions.

● TMUIR is committed to protecting the interests of copyright owners. If you believe that any material on this website infringes copyright, please contact our staff at libirtmu@gmail.com, and we will remove the work from the repository.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback