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Renal echography for predicting acute kidney injury in critically ill patients: a prospective observational study

OBJECTIVE: To investigate the diagnostic performances of renal resistive index (RRI) and semiquantitative power Doppler ultrasound (PDU) scores in predicting acute kidney injury (AKI) stage 3 in critically ill patients. METHODS: This prospective observational study included 148 patients (80 with red...

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Autores principales: Zhi, Hai Jun, Li, Yong, Wang, Bo, Cui, Xiao Ya, Zhang, Meng, Hu, Zhen Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144271/
https://www.ncbi.nlm.nih.gov/pubmed/32160803
http://dx.doi.org/10.1080/0886022X.2020.1737544
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author Zhi, Hai Jun
Li, Yong
Wang, Bo
Cui, Xiao Ya
Zhang, Meng
Hu, Zhen Jie
author_facet Zhi, Hai Jun
Li, Yong
Wang, Bo
Cui, Xiao Ya
Zhang, Meng
Hu, Zhen Jie
author_sort Zhi, Hai Jun
collection PubMed
description OBJECTIVE: To investigate the diagnostic performances of renal resistive index (RRI) and semiquantitative power Doppler ultrasound (PDU) scores in predicting acute kidney injury (AKI) stage 3 in critically ill patients. METHODS: This prospective observational study included 148 patients (80 with reduced cardiac index [CI], 68 with maintained CI). RRI and semiquantitative PDU scores were measured within 6 h after intensive care unit admission. AKI was defined according to Kidney Disease Improving Global Outcomes criteria. RESULTS: A negative correlation between RRI and PDU score (r = −0.517, p < 0.001) and a positive correlation between PDU score and CI (r = 0.193, p = 0.019) were found, whereas RRI was not correlated with CI (r = 0.131, p = 0.121). The predictive value of RRI for AKI stage 3 was similar between CI-reduced (area under the curve [AUC] 0.761, 95% confidence interval 0.650–0.851, p < 0.001) and CI-maintained (AUC 0.786, 95% confidence interval 0.665–0.878, p < 0.001) patients. Conversely, PDU score could effectively predict AKI stage 3 in CI-reduced patients (AUC 0.872, 95% confidence interval 0.778–0.936, p < 0.001) but not in CI-maintained patients (AUC 0.669, 95% confidence interval 0.544–0.778, p = 0.071). The predictive value of PDU score for AKI stage 3 was statistically different between CI-reduced and CI-maintained patients (p = 0.021). CONCLUSIONS: PDU scores could effectively predict AKI stage 3 in CI-reduced patients but not in CI-maintained patients. RRI is a poor predictor of AKI stage 3 in patients with reduced or maintained CI.
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spelling pubmed-71442712020-04-13 Renal echography for predicting acute kidney injury in critically ill patients: a prospective observational study Zhi, Hai Jun Li, Yong Wang, Bo Cui, Xiao Ya Zhang, Meng Hu, Zhen Jie Ren Fail Clinical Study OBJECTIVE: To investigate the diagnostic performances of renal resistive index (RRI) and semiquantitative power Doppler ultrasound (PDU) scores in predicting acute kidney injury (AKI) stage 3 in critically ill patients. METHODS: This prospective observational study included 148 patients (80 with reduced cardiac index [CI], 68 with maintained CI). RRI and semiquantitative PDU scores were measured within 6 h after intensive care unit admission. AKI was defined according to Kidney Disease Improving Global Outcomes criteria. RESULTS: A negative correlation between RRI and PDU score (r = −0.517, p < 0.001) and a positive correlation between PDU score and CI (r = 0.193, p = 0.019) were found, whereas RRI was not correlated with CI (r = 0.131, p = 0.121). The predictive value of RRI for AKI stage 3 was similar between CI-reduced (area under the curve [AUC] 0.761, 95% confidence interval 0.650–0.851, p < 0.001) and CI-maintained (AUC 0.786, 95% confidence interval 0.665–0.878, p < 0.001) patients. Conversely, PDU score could effectively predict AKI stage 3 in CI-reduced patients (AUC 0.872, 95% confidence interval 0.778–0.936, p < 0.001) but not in CI-maintained patients (AUC 0.669, 95% confidence interval 0.544–0.778, p = 0.071). The predictive value of PDU score for AKI stage 3 was statistically different between CI-reduced and CI-maintained patients (p = 0.021). CONCLUSIONS: PDU scores could effectively predict AKI stage 3 in CI-reduced patients but not in CI-maintained patients. RRI is a poor predictor of AKI stage 3 in patients with reduced or maintained CI. Taylor & Francis 2020-03-11 /pmc/articles/PMC7144271/ /pubmed/32160803 http://dx.doi.org/10.1080/0886022X.2020.1737544 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Study
Zhi, Hai Jun
Li, Yong
Wang, Bo
Cui, Xiao Ya
Zhang, Meng
Hu, Zhen Jie
Renal echography for predicting acute kidney injury in critically ill patients: a prospective observational study
title Renal echography for predicting acute kidney injury in critically ill patients: a prospective observational study
title_full Renal echography for predicting acute kidney injury in critically ill patients: a prospective observational study
title_fullStr Renal echography for predicting acute kidney injury in critically ill patients: a prospective observational study
title_full_unstemmed Renal echography for predicting acute kidney injury in critically ill patients: a prospective observational study
title_short Renal echography for predicting acute kidney injury in critically ill patients: a prospective observational study
title_sort renal echography for predicting acute kidney injury in critically ill patients: a prospective observational study
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144271/
https://www.ncbi.nlm.nih.gov/pubmed/32160803
http://dx.doi.org/10.1080/0886022X.2020.1737544
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