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Factors associated with renal Doppler resistive index in critically ill patients: a prospective cohort study

BACKGROUND: The renal Doppler resistive index (renal RI) is a noninvasive tool that has been used to assess renal perfusion in the intensive care unit (ICU) setting. However, many parameters have been described as influential on the values of renal RI. Therefore, we proposed this study to evaluate t...

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Autores principales: Oliveira, Raphael A. G., Mendes, Pedro V., Park, Marcelo, Taniguchi, Leandro U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355884/
https://www.ncbi.nlm.nih.gov/pubmed/30706172
http://dx.doi.org/10.1186/s13613-019-0500-4
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author Oliveira, Raphael A. G.
Mendes, Pedro V.
Park, Marcelo
Taniguchi, Leandro U.
author_facet Oliveira, Raphael A. G.
Mendes, Pedro V.
Park, Marcelo
Taniguchi, Leandro U.
author_sort Oliveira, Raphael A. G.
collection PubMed
description BACKGROUND: The renal Doppler resistive index (renal RI) is a noninvasive tool that has been used to assess renal perfusion in the intensive care unit (ICU) setting. However, many parameters have been described as influential on the values of renal RI. Therefore, we proposed this study to evaluate the variables that could impact renal RI in critically ill patients. METHODS: A prospective observational study was performed in a 14-bed medical–surgical adult ICU. All consecutive patients admitted to the ICU during the study period were evaluated for eligibility. Renal RI was performed daily until the third day after ICU admission, death, or renal replacement therapy (RRT) requirement. Clinical and blood test data were collected throughout this period. Acute kidney injury (AKI) reversibility was categorized as transient (normalization of renal function within 3 days of AKI onset) or persistent (non-resolution of AKI within 3 days of onset or need for RRT). A linear mixed model was applied to evaluate the factors that could influence renal RI. RESULTS: Eighty-three consecutive patients were included. Of these, 65% were male and 50.6% were medical admissions. Mean SAPS 3 was 47 ± 16. Renal RI was significantly different between no-AKI (0.64 ± 0.06), transient AKI (0.64 ± 0.07), and persistent AKI groups (0.70 ± 0.08, p < 0.01). Variables associated with renal RI variations were mean arterial pressure, lactate, age, and persistent AKI (p < 0.05). No association between serum chloride and renal RI was observed (p = 0.868). CONCLUSIONS: Mean arterial pressure, lactate, age, and type of AKI might influence renal RI in critically ill patients.
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spelling pubmed-63558842019-02-24 Factors associated with renal Doppler resistive index in critically ill patients: a prospective cohort study Oliveira, Raphael A. G. Mendes, Pedro V. Park, Marcelo Taniguchi, Leandro U. Ann Intensive Care Research BACKGROUND: The renal Doppler resistive index (renal RI) is a noninvasive tool that has been used to assess renal perfusion in the intensive care unit (ICU) setting. However, many parameters have been described as influential on the values of renal RI. Therefore, we proposed this study to evaluate the variables that could impact renal RI in critically ill patients. METHODS: A prospective observational study was performed in a 14-bed medical–surgical adult ICU. All consecutive patients admitted to the ICU during the study period were evaluated for eligibility. Renal RI was performed daily until the third day after ICU admission, death, or renal replacement therapy (RRT) requirement. Clinical and blood test data were collected throughout this period. Acute kidney injury (AKI) reversibility was categorized as transient (normalization of renal function within 3 days of AKI onset) or persistent (non-resolution of AKI within 3 days of onset or need for RRT). A linear mixed model was applied to evaluate the factors that could influence renal RI. RESULTS: Eighty-three consecutive patients were included. Of these, 65% were male and 50.6% were medical admissions. Mean SAPS 3 was 47 ± 16. Renal RI was significantly different between no-AKI (0.64 ± 0.06), transient AKI (0.64 ± 0.07), and persistent AKI groups (0.70 ± 0.08, p < 0.01). Variables associated with renal RI variations were mean arterial pressure, lactate, age, and persistent AKI (p < 0.05). No association between serum chloride and renal RI was observed (p = 0.868). CONCLUSIONS: Mean arterial pressure, lactate, age, and type of AKI might influence renal RI in critically ill patients. Springer International Publishing 2019-01-31 /pmc/articles/PMC6355884/ /pubmed/30706172 http://dx.doi.org/10.1186/s13613-019-0500-4 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Oliveira, Raphael A. G.
Mendes, Pedro V.
Park, Marcelo
Taniguchi, Leandro U.
Factors associated with renal Doppler resistive index in critically ill patients: a prospective cohort study
title Factors associated with renal Doppler resistive index in critically ill patients: a prospective cohort study
title_full Factors associated with renal Doppler resistive index in critically ill patients: a prospective cohort study
title_fullStr Factors associated with renal Doppler resistive index in critically ill patients: a prospective cohort study
title_full_unstemmed Factors associated with renal Doppler resistive index in critically ill patients: a prospective cohort study
title_short Factors associated with renal Doppler resistive index in critically ill patients: a prospective cohort study
title_sort factors associated with renal doppler resistive index in critically ill patients: a prospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355884/
https://www.ncbi.nlm.nih.gov/pubmed/30706172
http://dx.doi.org/10.1186/s13613-019-0500-4
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