Cardio–renal–metabolic syndrome: clinical features and dapagliflozin eligibility in a real‐world heart failure cohort

Author:

Beles Monika1,Masuy Imke2,Verstreken Sofie1,Bartunek Jozef1,Dierckx Riet1,Heggermont Ward1,Oeste Clara2,De Boeck Marieke3,Fovel Isabelle3,Maris Michael3,Vermeulen Zarha3,Vanderheyden Marc1

Affiliation:

1. Cardiovascular Research Centre OLV Hospital Moorselbaan 164 9300 Aalst Belgium

2. LynxCare Inc., LynxCare Clinical Informatics N.V. Leuven Belgium

3. AstraZeneca Belgium and Luxemburg Groot‐Bijgaarden Belgium

Abstract

AbstractAimsThe Cardiovascular Outcomes Retrospective Data analysIS in Heart Failure (CORDIS‐HF) is a single‐centre retrospective study aimed to (i) clinically characterize a real‐world population with heart failure (HF) with reduced (HFrEF) and mildly reduced ejection fraction (HFmrEF), (ii) evaluate impact of renal–metabolic comorbidities on all‐cause mortality and HF readmissions, and (iii) determine patients' eligibility for sodium–glucose cotransporter 2 inhibitors (SGLT2is).Methods and resultsUsing a natural language processing algorithm, clinical data of patients diagnosed with HFrEF or HFmrEF were retrospectively collected from 2014 to 2018. Mortality and HF readmission events were collected during subsequent 1 and 2 year follow‐up periods. The predictive role of patients' baseline characteristics for outcomes of interest was assessed using univariate and multivariate Cox proportional hazard models. Kaplan–Meier analysis was used to determine if type 2 diabetes (T2D) and chronic kidney disease (CKD) impacted mortality and HF readmission rates. The European SGLT2i label criteria were used to assess patients' eligibility. The CORDIS‐HF included 1333 HF patients with left ventricular ejection fraction (LVEF) < 50% (413 HFmrEF and 920 HFrEF), who were predominantly male (69%) with a mean [standard deviation (SD)] age of 74.7 (12.3) years. About one‐half (57%) of patients presented CKD and 37% T2D. The use of guideline‐directed medical therapy (GDMT) was high (76–90%). HFrEF patients presented lower age [mean (SD): 73.8 (12.4) vs. 76.7 (11.6) years, P < 0.05], higher incidence of coronary artery disease (67% vs. 59%, P < 0.05), lower systolic blood pressure [mean (SD): 123 (22.6) vs. 133 (24.0) mmHg, P < 0.05], higher N‐terminal pro‐hormone brain natriuretic peptide (2720 vs. 1920 pg/mL, P < 0.05), and lower estimated glomerular filtration rate [mean (SD): 51.4 (23.3) vs. 54.1 (22.3) mL/min/1.73 m2, P < 0.05] than those with HFmrEF. No differences in T2D and CKD were detected. Despite optimal treatment, event rates for the composite endpoint of HF readmission and mortality were 13.7 and 8.4/100 patient years. The presence of T2D and CKD negatively impacted all‐cause mortality [T2D: hazard ratio (HR) = 1.49, P < 0.01; CKD: HR = 2.05, P < 0.001] and hospital readmission events in all patients with HF. Eligibility for SGLT2is dapagliflozin and empagliflozin was 86.5% (n = 1153) and 97.9% (n = 1305) of the study population, respectively.ConclusionsThis study identified high residual risk for all‐cause mortality and hospital readmission in real‐world HF patients with LVEF < 50% despite GDMT. T2D and CKD aggravated the risk for these endpoints, indicating the intertwinement of HF with CKD and T2D. SGLT2i treatment that clinically benefits these different disease conditions can be an important driver to lower mortality and hospitalizations in this HF population.

Funder

AstraZeneca

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

Reference40 articles.

1. European Heart Network.Heart failure and cardiovascular diseases—a European Heart Network paper.2019. Available from:https://ehnheart.org/publications‐and‐papers/publications/1202:heart‐failure‐and‐cardiovascular‐diseases.html. Accessed April 2019

2. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure

3. Basic science

4. The impact of diabetes on heart failure development: The cardio-renal-metabolic connection

5. Heart Failure in Type 2 Diabetes Mellitus

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3