The Comparative Effectiveness Between ARNI and ACE Inhibitor/ARB Medication in Patient With HFrEF (PARADE-HF)

July 30, 2023 updated by: Byung-Su Yoo, Wonju Severance Christian Hospital

The Comparative Effectiveness Study Between ARNI and ACE Inhibitor/ARB Medication in Patient With Heart Failure With Reduced Ejection Fraction Using the Nationwide Population Based Real World Registry of Korean Heart Failure

This study aimed to evaluate the effectiveness, safety, and cost-effectiveness of ARNI and ACEi/ARBs in real-world practice. This study could find out what the unmet medical needs are in real world practice. Furthermore, this study will be helpful to establish the healthcare policy reimbursement policy or clinical practice guideline for HF regarding HF medications to reduce the burden of HF in Korea.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

Despite developments and improvements in treatment strategies, heart failure (HF) remains a significant socioeconomic burden and leads to individual health problems due to its high mortality and readmission rates. The latest 2016 European Society of Cardiology (ESC) guideline recommends pharmacological treatment indicated in patients with symptomatic HF with reduced ejection fraction. As the Class I level, the ESC guideline recommends 'ACEI, ARB, ARNI, BB, MRA, Diuretics'. Guideline-directed medication therapy (GDMT) significantly improved the survival of HF, particularly heart failure with reduced ejection fraction (HFrEF). However, various registry studies demonstrated that HFrEF patients are frequently undertreated. The gap exists between the ideal guideline and the current practice of HF treatment. According to the observational nationwide study using the Korean National Health Insurance Claims database, still, 28.6% of elderly heart failure patients did not receive evidence-based treatment. To reduce the various burdens of HF at the patient and society level, the right understanding of the disease and a nationwide systematic approach are needed.

Recently, more data have emerged to support an expanded role for ARNIs in patients with HFrEF. These data include their use as a de novo therapy in some patients naive to ACEIs or ARB therapies, evidence for rapid improvement in patient-reported outcome measures, and the demonstration of a reverse-remodeling effect of ARNIs in chronic HFrEF, independent of background therapy with ACEIs/ARBs. However, the use of ARNI is still under expectation. Clinical trials showed a fabulous result with the use of ARNI in HFrEF patients, however, real-world data is still lacking. In Korea, the use of ARNI is increasing, however, the exact use of ARNI is unknown, and only limited data reported the prescription pattern and outcomes of ARNI in HFrEF patients.

Korea has an obligatory public health insurance system, the term of the Korean National Health Insurance Service (NHIS) with which more than 97% of people are affiliated. All claim data is electronically recorded and can be investigated for research purposes with the approval of the Research Ethics Committee. The use of medications, dosage, cost, and the effect on HF outcomes are assessable using the Korean NHIS database. Previous studies about HF using the NHIS database have several limitations. They were conducted in small research groups, and the operational definition of each study was different, and no studies were conducted after sufficient discussions with HF expert opinions from the Korean Society of Heart Failure.

This study aimed to evaluate the effectiveness, safety, and cost-effectiveness of ARNI and ACEi/ARBs in real-world practice. This study could find out what the unmet medical needs are in real-world practice. Furthermore, this study will be helpful to establish the healthcare policy reimbursement policy or clinical practice guidelines for HF regarding HF medications to reduce the burden of HF in Korea.

This is a non-interventional retrospective cohort study. This study will collect primary data and secondary use data. The data will originate from the NHIS database. Clinical characteristics (age, sex, BMI, WC, lipid profile, LFT, physical activity) will be investigated. The treatment patterns are to be summarized using the proportion of patients with good guideline adherence. Finally, it will compare the clinical outcomes (hospitalization rate, cardiovascular and all-cause mortality) and medical costs of patients groups who were treated with ARNI and without ARNI.

This study will collect primary data and secondary use data in patients with HF between 2017 and 2021. Data sources might include socioeconomic status, abstracts of primary clinical records, electronic medical records, prescription drug files, laboratory reports, and questionnaires for health behaviors. Concomitant or prior medications entered into the database will be coded using the NHIS Reference List. Medical history/current medical conditions will be coded using ICD-10 codes.

The Kaplan-Meier will be used for the survival curve to analyze the primary endpoints (all-cause mortality, CV mortality, or first/recurrent any hospitalization ) and the related results. Normally distributed continuous data are reported as mean ± standard deviation, while non-parametric data are reported as median with interquartile range in brackets. Categorical data are reported as numbers with percentages in brackets. Comparisons between continuous variables were made using independent t-tests, while chi-square tests were made for comparisons between categorical variables, with posthoc correction for tests including more than two groups. Propensity score matching (maximum 1:5) will be performed for those who had used ARNI and those who had not (ACEi/ARBs). The propensity score analysis balances covariates between study groups of observational data using a propensity score, which is the conditional probability of assignment to a particular group given observed covariates only. The investigators will derive the propensity score model from a multiple logistic regression that included age, sex, and underlying comorbidities. A stratified Cox proportional hazards regression model for matched data will be used to evaluate the relation between the treatments and study outcomes (mortality and/or first/recurrent any hospitalization).

Study Type

Observational

Enrollment (Estimated)

1000000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Name: Dong-Hyuk Cho, MD,PhD
Phone Number: 82-33-741-0916
Email: why012@gmail.com

Study Locations

Korea, Republic of
- Gangwondo
  - Wonju, Gangwondo, Korea, Republic of, 26426
    - Recruiting
    - Yonsei University Wonju College of Medicine
    - Contact:
      
      Dong-Hyuk Cho, MD
      
      Phone Number: 82-33-741-0916
      
      Email: why012@gmail.com

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Sampling Method

Probability Sample

Study Population

HF patients with new use of ARNI will be 1:1 propensity score matched with HF patients without ARNI use. Cohort entry was the day of the first filled prescription of ARNI. Study participants were patients aged 18 years or older with HF, which is, with an inpatient or outpatient HF diagnosis recorded during the year prior to drug initiation.

Description

Inclusion Criteria:

HF patients were defined as those with "heart failure" according to the disease code in the main code and the sub-code in the claims data.

HF patients who were assigned the following KCD-6 disease codes were considered as: "hypertensive heart disease with (congestive) HF" (I11.0), "hypertensive heart and renal disease with (congestive) HF" (I13.0), "hypertensive heart and renal disease with both (congestive) HF and renal failure" (I13.2), and "HF" (I50) including "congestive HF" (I50.0), "LV failure" (I50.1), and "HF and unspecified" (I50.9).

HFrEF patients were defined with the following KCD-6 disease codes: "Congestive heart failure with systolic dysfunction"(I5004), "Left ventricular failure"(I501), "Ischaemic cardiomyopathy"(I22.5), "Dilated cardiomyopathy" (I420).

Hospitalized heart failure is defined as the HF disease code and admission.

Exclusion Criteria:

Less than 18 years old
In case where investigators determine it's inappropriate to be included in the study as per investigators' clinical judgment

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Observational Models: Cohort
Time Perspectives: Retrospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
The medical cost (won) of medical care Time Frame: 12 months	The total medical cost of hospitalization due to HF and visitation to the outpatients clinic due to HF	12 months
The incidence rate (%) of composite endpoint including all-cause mortality or hospital readmission Time Frame: 12 months	all cause mortality: death due to any cause. Hospital readmission: any readmission	12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Wonju Severance Christian Hospital

Investigators

Principal Investigator: Byung Su Yoo, MD,PhD, Yonsei Wonju Christian Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 18, 2022

Primary Completion (Actual)

June 30, 2022

Study Completion (Estimated)

December 31, 2025

Study Registration Dates

First Submitted

April 7, 2022

First Submitted That Met QC Criteria