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Uric Acid Predicts Recovery of Left Ventricular Function and Adverse Events in Heart Failure With Reduced Ejection Fraction: Potential Mechanistic Insight From Network Analyses

BACKGROUND AND AIMS: Heart failure with reduced ejection fraction (HFrEF) still carries a high risk for a sustained decrease in left ventricular ejection fraction (LVEF) even with the optimal medical therapy. Currently, there is no effective tool to stratify these patients according to their recover...

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Autores principales: Wang, Xiqiang, Fan, Xiude, Wu, Qihui, Liu, Jing, Wei, Linyan, Yang, Dandan, Bu, Xiang, Liu, Xiaoxiang, Ma, Aiqun, Hayashi, Tomohiro, Guan, Gongchang, Xiang, Yu, Shi, Shuang, Wang, Junkui, Fang, Jiansong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334530/
https://www.ncbi.nlm.nih.gov/pubmed/35911515
http://dx.doi.org/10.3389/fcvm.2022.853870
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author Wang, Xiqiang
Fan, Xiude
Wu, Qihui
Liu, Jing
Wei, Linyan
Yang, Dandan
Bu, Xiang
Liu, Xiaoxiang
Ma, Aiqun
Hayashi, Tomohiro
Guan, Gongchang
Xiang, Yu
Shi, Shuang
Wang, Junkui
Fang, Jiansong
author_facet Wang, Xiqiang
Fan, Xiude
Wu, Qihui
Liu, Jing
Wei, Linyan
Yang, Dandan
Bu, Xiang
Liu, Xiaoxiang
Ma, Aiqun
Hayashi, Tomohiro
Guan, Gongchang
Xiang, Yu
Shi, Shuang
Wang, Junkui
Fang, Jiansong
author_sort Wang, Xiqiang
collection PubMed
description BACKGROUND AND AIMS: Heart failure with reduced ejection fraction (HFrEF) still carries a high risk for a sustained decrease in left ventricular ejection fraction (LVEF) even with the optimal medical therapy. Currently, there is no effective tool to stratify these patients according to their recovery potential. We tested the hypothesis that uric acid (UA) could predict recovery of LVEF and prognosis of HFrEF patients and attempted to explore mechanistic relationship between hyperuricemia and HFrEF. METHODS: HFrEF patients with hyperuricemia were selected from the National Inpatient Sample (NIS) 2016–2018 database and our Xianyang prospective cohort study. Demographics, cardiac risk factors, and cardiovascular events were identified. Network-based analysis was utilized to examine the relationship between recovery of LVEF and hyperuricemia, and we further elucidated the underlying mechanisms for the impact of hyperuricemia on HFrEF. RESULTS: After adjusting confounding factors by propensity score matching, hyperuricemia was a determinant of HFrEF [OR 1.247 (1.172–1.328); P < 0.001] of NIS dataset. In Xianyang prospective cohort study, hyperuricemia is a significant and independent risk factor for all-cause death (adjusted HR 2.387, 95% CI 1.141–4.993; P = 0.021), heart failure readmission (adjusted HR 1.848, 95% CI 1.048–3.259; P = 0.034), and composite events (adjusted HR 1.706, 95% CI 1.001–2.906; P = 0.049) in HFrEF patients. UA value at baseline was negatively correlated to LVEF of follow-ups (r = −0.19; P = 0.046). Cutoff UA value of 312.5 μmmol/L at baseline can work as a predictor of LVEF recovery during follow-up, with the sensitivity of 66.7%, the specificity of 35.1%, and the accuracy of 0.668 (95% CI, 0.561–0.775; P = 0.006). Moreover, gene overlap analysis and network proximity analysis demonstrated a strong correlation between HFrEF and Hyperuricemia. CONCLUSION: Lower baseline UA value predicted the LVEF recovery and less long-term adverse events in HFrEF patients. Our results provide new insights into underlying mechanistic relationship between hyperuricemia and HFrEF.
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spelling pubmed-93345302022-07-30 Uric Acid Predicts Recovery of Left Ventricular Function and Adverse Events in Heart Failure With Reduced Ejection Fraction: Potential Mechanistic Insight From Network Analyses Wang, Xiqiang Fan, Xiude Wu, Qihui Liu, Jing Wei, Linyan Yang, Dandan Bu, Xiang Liu, Xiaoxiang Ma, Aiqun Hayashi, Tomohiro Guan, Gongchang Xiang, Yu Shi, Shuang Wang, Junkui Fang, Jiansong Front Cardiovasc Med Cardiovascular Medicine BACKGROUND AND AIMS: Heart failure with reduced ejection fraction (HFrEF) still carries a high risk for a sustained decrease in left ventricular ejection fraction (LVEF) even with the optimal medical therapy. Currently, there is no effective tool to stratify these patients according to their recovery potential. We tested the hypothesis that uric acid (UA) could predict recovery of LVEF and prognosis of HFrEF patients and attempted to explore mechanistic relationship between hyperuricemia and HFrEF. METHODS: HFrEF patients with hyperuricemia were selected from the National Inpatient Sample (NIS) 2016–2018 database and our Xianyang prospective cohort study. Demographics, cardiac risk factors, and cardiovascular events were identified. Network-based analysis was utilized to examine the relationship between recovery of LVEF and hyperuricemia, and we further elucidated the underlying mechanisms for the impact of hyperuricemia on HFrEF. RESULTS: After adjusting confounding factors by propensity score matching, hyperuricemia was a determinant of HFrEF [OR 1.247 (1.172–1.328); P < 0.001] of NIS dataset. In Xianyang prospective cohort study, hyperuricemia is a significant and independent risk factor for all-cause death (adjusted HR 2.387, 95% CI 1.141–4.993; P = 0.021), heart failure readmission (adjusted HR 1.848, 95% CI 1.048–3.259; P = 0.034), and composite events (adjusted HR 1.706, 95% CI 1.001–2.906; P = 0.049) in HFrEF patients. UA value at baseline was negatively correlated to LVEF of follow-ups (r = −0.19; P = 0.046). Cutoff UA value of 312.5 μmmol/L at baseline can work as a predictor of LVEF recovery during follow-up, with the sensitivity of 66.7%, the specificity of 35.1%, and the accuracy of 0.668 (95% CI, 0.561–0.775; P = 0.006). Moreover, gene overlap analysis and network proximity analysis demonstrated a strong correlation between HFrEF and Hyperuricemia. CONCLUSION: Lower baseline UA value predicted the LVEF recovery and less long-term adverse events in HFrEF patients. Our results provide new insights into underlying mechanistic relationship between hyperuricemia and HFrEF. Frontiers Media S.A. 2022-07-15 /pmc/articles/PMC9334530/ /pubmed/35911515 http://dx.doi.org/10.3389/fcvm.2022.853870 Text en Copyright © 2022 Wang, Fan, Wu, Liu, Wei, Yang, Bu, Liu, Ma, Hayashi, Guan, Xiang, Shi, Wang and Fang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Wang, Xiqiang
Fan, Xiude
Wu, Qihui
Liu, Jing
Wei, Linyan
Yang, Dandan
Bu, Xiang
Liu, Xiaoxiang
Ma, Aiqun
Hayashi, Tomohiro
Guan, Gongchang
Xiang, Yu
Shi, Shuang
Wang, Junkui
Fang, Jiansong
Uric Acid Predicts Recovery of Left Ventricular Function and Adverse Events in Heart Failure With Reduced Ejection Fraction: Potential Mechanistic Insight From Network Analyses
title Uric Acid Predicts Recovery of Left Ventricular Function and Adverse Events in Heart Failure With Reduced Ejection Fraction: Potential Mechanistic Insight From Network Analyses
title_full Uric Acid Predicts Recovery of Left Ventricular Function and Adverse Events in Heart Failure With Reduced Ejection Fraction: Potential Mechanistic Insight From Network Analyses
title_fullStr Uric Acid Predicts Recovery of Left Ventricular Function and Adverse Events in Heart Failure With Reduced Ejection Fraction: Potential Mechanistic Insight From Network Analyses
title_full_unstemmed Uric Acid Predicts Recovery of Left Ventricular Function and Adverse Events in Heart Failure With Reduced Ejection Fraction: Potential Mechanistic Insight From Network Analyses
title_short Uric Acid Predicts Recovery of Left Ventricular Function and Adverse Events in Heart Failure With Reduced Ejection Fraction: Potential Mechanistic Insight From Network Analyses
title_sort uric acid predicts recovery of left ventricular function and adverse events in heart failure with reduced ejection fraction: potential mechanistic insight from network analyses
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334530/
https://www.ncbi.nlm.nih.gov/pubmed/35911515
http://dx.doi.org/10.3389/fcvm.2022.853870
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