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Afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure

BACKGROUND: Afterload-related cardiac performance (ACP), a diagnostic parameter for septic cardiomyopathy, integrates both cardiac performance and vascular effects and could predict prognosis in septic shock. OBJECTIVES: We hypothesized that ACP would also correlate with clinical outcomes in patient...

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Autores principales: Wu, Yihang, Tian, Pengchao, Liang, Lin, Chen, Yuyi, Feng, Jiayu, Huang, Boping, Huang, Liyan, Zhao, Xuemei, Wang, Jing, Guan, Jingyuan, Li, Xinqing, Zhang, Yuhui, Zhang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265365/
https://www.ncbi.nlm.nih.gov/pubmed/37324410
http://dx.doi.org/10.1177/20406223231171554
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author Wu, Yihang
Tian, Pengchao
Liang, Lin
Chen, Yuyi
Feng, Jiayu
Huang, Boping
Huang, Liyan
Zhao, Xuemei
Wang, Jing
Guan, Jingyuan
Li, Xinqing
Zhang, Yuhui
Zhang, Jian
author_facet Wu, Yihang
Tian, Pengchao
Liang, Lin
Chen, Yuyi
Feng, Jiayu
Huang, Boping
Huang, Liyan
Zhao, Xuemei
Wang, Jing
Guan, Jingyuan
Li, Xinqing
Zhang, Yuhui
Zhang, Jian
author_sort Wu, Yihang
collection PubMed
description BACKGROUND: Afterload-related cardiac performance (ACP), a diagnostic parameter for septic cardiomyopathy, integrates both cardiac performance and vascular effects and could predict prognosis in septic shock. OBJECTIVES: We hypothesized that ACP would also correlate with clinical outcomes in patients with chronic heart failure (HF). DESIGN: A retrospective study. METHODS: We retrospectively studied consecutive patients with chronic HF who underwent right heart catheterization and established an expected cardiac output-systemic vascular resistance (CO-SVR) curve model in chronic HF for the first time. ACP was calculated as CO(measured)/CO(predicted) × 100%. ACP > 80%, 60% < ACP ⩽ 80%, and ACP ⩽ 60% represented less impaired, mildly impaired, and severely impaired cardiovascular function, respectively. The primary outcome was all-cause mortality, and the secondary outcome was event-free survival. RESULTS: A total of 965 individual measurements from 290 eligible patients were used to establish the expected CO-SVR curve model (CO(predicted) = 53.468 × SVR (−0.799)). Patients with ACP ⩽ 60% had higher serum NT-proBNP levels (P < 0.001), lower left ventricular ejection fraction (P = 0.001), and required dopamine more frequently (P < 0.001). Complete follow-up data were available in 263 of 290 patients (90.7%). After multivariate adjustment, ACP remained associated with both primary outcome (hazard ratio (HR) 0.956, 95% confidence interval (CI) 0.927–0.987) and secondary outcome (HR 0.977, 95% CI 0.963–0.992). Patients with ACP ⩽ 60% had the worst prognosis (all P < 0.001). ACP was significantly more discriminating (area under the curve of 0.770) than other conventional hemodynamic parameters in predicting mortality (Delong test, all P < 0.05). CONCLUSION: ACP is a powerful independent hemodynamic predictor of mortality in patients with chronic HF. ACP and the novel CO-SVR two-dimensional graph could be useful in assessing cardiovascular function and making clinical decisions. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT02664818.
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spelling pubmed-102653652023-06-15 Afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure Wu, Yihang Tian, Pengchao Liang, Lin Chen, Yuyi Feng, Jiayu Huang, Boping Huang, Liyan Zhao, Xuemei Wang, Jing Guan, Jingyuan Li, Xinqing Zhang, Yuhui Zhang, Jian Ther Adv Chronic Dis Original Research BACKGROUND: Afterload-related cardiac performance (ACP), a diagnostic parameter for septic cardiomyopathy, integrates both cardiac performance and vascular effects and could predict prognosis in septic shock. OBJECTIVES: We hypothesized that ACP would also correlate with clinical outcomes in patients with chronic heart failure (HF). DESIGN: A retrospective study. METHODS: We retrospectively studied consecutive patients with chronic HF who underwent right heart catheterization and established an expected cardiac output-systemic vascular resistance (CO-SVR) curve model in chronic HF for the first time. ACP was calculated as CO(measured)/CO(predicted) × 100%. ACP > 80%, 60% < ACP ⩽ 80%, and ACP ⩽ 60% represented less impaired, mildly impaired, and severely impaired cardiovascular function, respectively. The primary outcome was all-cause mortality, and the secondary outcome was event-free survival. RESULTS: A total of 965 individual measurements from 290 eligible patients were used to establish the expected CO-SVR curve model (CO(predicted) = 53.468 × SVR (−0.799)). Patients with ACP ⩽ 60% had higher serum NT-proBNP levels (P < 0.001), lower left ventricular ejection fraction (P = 0.001), and required dopamine more frequently (P < 0.001). Complete follow-up data were available in 263 of 290 patients (90.7%). After multivariate adjustment, ACP remained associated with both primary outcome (hazard ratio (HR) 0.956, 95% confidence interval (CI) 0.927–0.987) and secondary outcome (HR 0.977, 95% CI 0.963–0.992). Patients with ACP ⩽ 60% had the worst prognosis (all P < 0.001). ACP was significantly more discriminating (area under the curve of 0.770) than other conventional hemodynamic parameters in predicting mortality (Delong test, all P < 0.05). CONCLUSION: ACP is a powerful independent hemodynamic predictor of mortality in patients with chronic HF. ACP and the novel CO-SVR two-dimensional graph could be useful in assessing cardiovascular function and making clinical decisions. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT02664818. SAGE Publications 2023-06-05 /pmc/articles/PMC10265365/ /pubmed/37324410 http://dx.doi.org/10.1177/20406223231171554 Text en © The Author(s), 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Wu, Yihang
Tian, Pengchao
Liang, Lin
Chen, Yuyi
Feng, Jiayu
Huang, Boping
Huang, Liyan
Zhao, Xuemei
Wang, Jing
Guan, Jingyuan
Li, Xinqing
Zhang, Yuhui
Zhang, Jian
Afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure
title Afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure
title_full Afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure
title_fullStr Afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure
title_full_unstemmed Afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure
title_short Afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure
title_sort afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265365/
https://www.ncbi.nlm.nih.gov/pubmed/37324410
http://dx.doi.org/10.1177/20406223231171554
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