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Renal Venous Pattern: A New Parameter for Predicting Prognosis in Heart Failure Outpatients
Aim of the study: In chronic heart failure (CHF) patients, renal congestion plays a key role in determining the progression of renal dysfunction and a worse prognosis. The aim of this study was to define the role of Doppler venous patterns reflecting renal congestion that predict heart failure progr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306853/ https://www.ncbi.nlm.nih.gov/pubmed/30400289 http://dx.doi.org/10.3390/jcdd5040052 |
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author | Puzzovivo, Agata Monitillo, Francesco Guida, Pietro Leone, Marta Rizzo, Caterina Grande, Dario Ciccone, Marco Matteo Iacoviello, Massimo |
author_facet | Puzzovivo, Agata Monitillo, Francesco Guida, Pietro Leone, Marta Rizzo, Caterina Grande, Dario Ciccone, Marco Matteo Iacoviello, Massimo |
author_sort | Puzzovivo, Agata |
collection | PubMed |
description | Aim of the study: In chronic heart failure (CHF) patients, renal congestion plays a key role in determining the progression of renal dysfunction and a worse prognosis. The aim of this study was to define the role of Doppler venous patterns reflecting renal congestion that predict heart failure progression. Methods: We enrolled outpatients affected by CHF, in stable clinical conditions and in conventional therapy. All patients underwent a clinical evaluation, routine chemistry, an echocardiogram and a renal echo-Doppler. Pulsed Doppler flow recording was performed at the level of interlobular renal right veins in the tele-expiratory phase. The venous flow patterns were divided into five groups according to the fluctuations of the flow. Type A and B were characterized by a continuous flow, whereas type C was characterized by a short interruption or reversal flow during the end-diastolic or protosystolic phase. Type D and E were characterized by a wide interruption and/or reversal flow. The occurrence of death and/or of heart transplantation and/or of hospitalization due to heart failure worsening was considered an event during follow-up. Results: During a median follow-up of 38 months, 126 patients experienced the considered end-point. Venous pattern C (HR 4.04; 95% CI: 2.14–7.65; p < 0.001), pattern D (HR 7.16; 95% CI: 3.69–13.9; p < 0.001) and pattern E (HR 8.94; 95% CI: 4.65–17.2; p < 0.001) were all associated with events using an univariate Cox regression analysis. Moreover, both the presence of pattern C (HR: 1.79; 95% CI: 1.09–2.97; p: 0) and of pattern D or E (HR: 1.90; 95% CI: 1.16–3.12; p: 0.011) remained significantly associated to events using a multivariate Cox regression analysis after correction for a reference model with an improvement of the overall net reclassification index (0.46; 95% CI 0.24–0.68; p < 0.001). Conclusions: Our findings demonstrate the independent and incremental role of Doppler venous patterns reflecting renal congestion in predicting HF progression among CHF patients, thus suggesting its possible utility in daily clinical practice to better characterize patients with cardio-renal syndrome. |
format | Online Article Text |
id | pubmed-6306853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63068532019-01-02 Renal Venous Pattern: A New Parameter for Predicting Prognosis in Heart Failure Outpatients Puzzovivo, Agata Monitillo, Francesco Guida, Pietro Leone, Marta Rizzo, Caterina Grande, Dario Ciccone, Marco Matteo Iacoviello, Massimo J Cardiovasc Dev Dis Article Aim of the study: In chronic heart failure (CHF) patients, renal congestion plays a key role in determining the progression of renal dysfunction and a worse prognosis. The aim of this study was to define the role of Doppler venous patterns reflecting renal congestion that predict heart failure progression. Methods: We enrolled outpatients affected by CHF, in stable clinical conditions and in conventional therapy. All patients underwent a clinical evaluation, routine chemistry, an echocardiogram and a renal echo-Doppler. Pulsed Doppler flow recording was performed at the level of interlobular renal right veins in the tele-expiratory phase. The venous flow patterns were divided into five groups according to the fluctuations of the flow. Type A and B were characterized by a continuous flow, whereas type C was characterized by a short interruption or reversal flow during the end-diastolic or protosystolic phase. Type D and E were characterized by a wide interruption and/or reversal flow. The occurrence of death and/or of heart transplantation and/or of hospitalization due to heart failure worsening was considered an event during follow-up. Results: During a median follow-up of 38 months, 126 patients experienced the considered end-point. Venous pattern C (HR 4.04; 95% CI: 2.14–7.65; p < 0.001), pattern D (HR 7.16; 95% CI: 3.69–13.9; p < 0.001) and pattern E (HR 8.94; 95% CI: 4.65–17.2; p < 0.001) were all associated with events using an univariate Cox regression analysis. Moreover, both the presence of pattern C (HR: 1.79; 95% CI: 1.09–2.97; p: 0) and of pattern D or E (HR: 1.90; 95% CI: 1.16–3.12; p: 0.011) remained significantly associated to events using a multivariate Cox regression analysis after correction for a reference model with an improvement of the overall net reclassification index (0.46; 95% CI 0.24–0.68; p < 0.001). Conclusions: Our findings demonstrate the independent and incremental role of Doppler venous patterns reflecting renal congestion in predicting HF progression among CHF patients, thus suggesting its possible utility in daily clinical practice to better characterize patients with cardio-renal syndrome. MDPI 2018-11-03 /pmc/articles/PMC6306853/ /pubmed/30400289 http://dx.doi.org/10.3390/jcdd5040052 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Puzzovivo, Agata Monitillo, Francesco Guida, Pietro Leone, Marta Rizzo, Caterina Grande, Dario Ciccone, Marco Matteo Iacoviello, Massimo Renal Venous Pattern: A New Parameter for Predicting Prognosis in Heart Failure Outpatients |
title | Renal Venous Pattern: A New Parameter for Predicting Prognosis in Heart Failure Outpatients |
title_full | Renal Venous Pattern: A New Parameter for Predicting Prognosis in Heart Failure Outpatients |
title_fullStr | Renal Venous Pattern: A New Parameter for Predicting Prognosis in Heart Failure Outpatients |
title_full_unstemmed | Renal Venous Pattern: A New Parameter for Predicting Prognosis in Heart Failure Outpatients |
title_short | Renal Venous Pattern: A New Parameter for Predicting Prognosis in Heart Failure Outpatients |
title_sort | renal venous pattern: a new parameter for predicting prognosis in heart failure outpatients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306853/ https://www.ncbi.nlm.nih.gov/pubmed/30400289 http://dx.doi.org/10.3390/jcdd5040052 |
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