Doppler-based Renal Resistive Index for Prediction of Acute Kidney Injury in Critically Ill Patients: A Systematic Review and Meta-analysis

Objectives: To determine the efficacy of Doppler-based renal resistive index (RRI) in the prediction of acute kidney injury (AKI) in critically ill patients. Methods: A systematic review and meta-analysis of cohort studies was conducted. Relevant studies were identified in PubMed, Embase and Cochran...

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Autor principal:	Jianing Zhu, MD, Ying Zhang, MD, Xiaoming Li, MD, Qiuyang Li, MD, PHD, Yukun Luo, MD, PHD
Formato:	article
Lenguaje:	EN
Publicado:	Editorial Office of Advanced Ultrasound in Diagnosis and Therapy 2021
Materias:	\|acute kidney injury\|renal resistive index\|critically ill patients\|systematic review\|meta-analysis Medical technology R855-855.5 Medicine R
Acceso en línea:	https://doaj.org/article/00945e1e55634f57bd6728f2ad6da3ec
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spelling	oai:doaj.org-article:00945e1e55634f57bd6728f2ad6da3ec2021-11-05T08:34:43ZDoppler-based Renal Resistive Index for Prediction of Acute Kidney Injury in Critically Ill Patients: A Systematic Review and Meta-analysis2576-251610.37015/AUDT.2021.210013https://doaj.org/article/00945e1e55634f57bd6728f2ad6da3ec2021-09-01T00:00:00Zhttp://www.journaladvancedultrasound.com:81/fileup/2576-2516/PDF/1630472662882-1818385778.pdfhttps://doaj.org/toc/2576-2516Objectives: To determine the efficacy of Doppler-based renal resistive index (RRI) in the prediction of acute kidney injury (AKI) in critically ill patients. Methods: A systematic review and meta-analysis of cohort studies was conducted. Relevant studies were identified in PubMed, Embase and Cochrane Library from inception to November 1, 2020, and reference lists of identified primary studies. Prospective studies that examined the diagnostic accuracy of RRI in AKI were included. Results: Among the 126 articles identified, 18 were included, with a total of 1656 patients. Bivariate analysis yielded pooled sensitivity and specificity of 0.81 (95% CI 0.74-0.86) and 0.75 (95% CI 0.65-0.83), respectively. The summary positive likelihood ratio was 3.2 (95% CI 2.2-4.6), and negative likelihood ratio was 0.26 (95% CI 0.19-0.36). Conclusion: Elevated RRI may be an early predictor of AKI in critically ill patients. Further large-scale prospective studies are needed to confirm the predictive efficacy and determine the performance and optimal cutoff value of RRI among the included studies.Jianing Zhu, MD, Ying Zhang, MD, Xiaoming Li, MD, Qiuyang Li, MD, PHD, Yukun Luo, MD, PHDEditorial Office of Advanced Ultrasound in Diagnosis and Therapyarticle\|acute kidney injury\|renal resistive index\|critically ill patients\|systematic review\|meta-analysisMedical technologyR855-855.5MedicineRENAdvanced Ultrasound in Diagnosis and Therapy, Vol 5, Iss 3, Pp 183-196 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	\|acute kidney injury\|renal resistive index\|critically ill patients\|systematic review\|meta-analysis Medical technology R855-855.5 Medicine R
spellingShingle	\|acute kidney injury\|renal resistive index\|critically ill patients\|systematic review\|meta-analysis Medical technology R855-855.5 Medicine R Jianing Zhu, MD, Ying Zhang, MD, Xiaoming Li, MD, Qiuyang Li, MD, PHD, Yukun Luo, MD, PHD Doppler-based Renal Resistive Index for Prediction of Acute Kidney Injury in Critically Ill Patients: A Systematic Review and Meta-analysis
description	Objectives: To determine the efficacy of Doppler-based renal resistive index (RRI) in the prediction of acute kidney injury (AKI) in critically ill patients. Methods: A systematic review and meta-analysis of cohort studies was conducted. Relevant studies were identified in PubMed, Embase and Cochrane Library from inception to November 1, 2020, and reference lists of identified primary studies. Prospective studies that examined the diagnostic accuracy of RRI in AKI were included. Results: Among the 126 articles identified, 18 were included, with a total of 1656 patients. Bivariate analysis yielded pooled sensitivity and specificity of 0.81 (95% CI 0.74-0.86) and 0.75 (95% CI 0.65-0.83), respectively. The summary positive likelihood ratio was 3.2 (95% CI 2.2-4.6), and negative likelihood ratio was 0.26 (95% CI 0.19-0.36). Conclusion: Elevated RRI may be an early predictor of AKI in critically ill patients. Further large-scale prospective studies are needed to confirm the predictive efficacy and determine the performance and optimal cutoff value of RRI among the included studies.
format	article
author	Jianing Zhu, MD, Ying Zhang, MD, Xiaoming Li, MD, Qiuyang Li, MD, PHD, Yukun Luo, MD, PHD
author_facet	Jianing Zhu, MD, Ying Zhang, MD, Xiaoming Li, MD, Qiuyang Li, MD, PHD, Yukun Luo, MD, PHD
author_sort	Jianing Zhu, MD, Ying Zhang, MD, Xiaoming Li, MD, Qiuyang Li, MD, PHD, Yukun Luo, MD, PHD
title	Doppler-based Renal Resistive Index for Prediction of Acute Kidney Injury in Critically Ill Patients: A Systematic Review and Meta-analysis
title_short	Doppler-based Renal Resistive Index for Prediction of Acute Kidney Injury in Critically Ill Patients: A Systematic Review and Meta-analysis
title_full	Doppler-based Renal Resistive Index for Prediction of Acute Kidney Injury in Critically Ill Patients: A Systematic Review and Meta-analysis
title_fullStr	Doppler-based Renal Resistive Index for Prediction of Acute Kidney Injury in Critically Ill Patients: A Systematic Review and Meta-analysis
title_full_unstemmed	Doppler-based Renal Resistive Index for Prediction of Acute Kidney Injury in Critically Ill Patients: A Systematic Review and Meta-analysis
title_sort	doppler-based renal resistive index for prediction of acute kidney injury in critically ill patients: a systematic review and meta-analysis
publisher	Editorial Office of Advanced Ultrasound in Diagnosis and Therapy
publishDate	2021
url	https://doaj.org/article/00945e1e55634f57bd6728f2ad6da3ec
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Doppler-based Renal Resistive Index for Prediction of Acute Kidney Injury in Critically Ill Patients: A Systematic Review and Meta-analysis

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