Evidence map›Paper›PMID 42837066›Full record

ArticleClinical and experimental nephrology2026

Diagnostic accuracy of doppler-derived renal ultrasound parameters for predicting acute kidney injury after cardiac surgery: a systematic review and meta-analysis.

Laura Esperanza Jiménez Gómez, Cándida Díaz-Brochero, Daniela Patiño Hernández, Sergio Velasco Malagón, Juan Daniel Caicedo-Ruiz, Daniel Martin, Luis Carlos Triana Moreno

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Article in Clinical and experimental nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Laura Esperanza Jiménez GómezDepartamento de Medicina interna, Pontificia Universidad Javeriana, Carrera 7 # 40-62. 7th floor, Bogotá, 110231, Colombia.
Cándida Díaz-BrocheroDepartamento de Medicina interna, Pontificia Universidad Javeriana, Carrera 7 # 40-62. 7th floor, Bogotá, 110231, Colombia. candida_diaz@javeriana.edu.co.
Daniela Patiño HernándezDepartamento de Medicina interna, Pontificia Universidad Javeriana, Carrera 7 # 40-62. 7th floor, Bogotá, 110231, Colombia.
Sergio Velasco MalagónDepartamento de Medicina interna, Universidad Nacional de Colombia, Bogotá, Colombia.
Juan Daniel Caicedo-RuizDepartamento de Epidemiología clínica y bioestadística, Pontificia Universidad Javeriana, Bogotá, Colombia.
Daniel MartinDepartamento de Medicina interna, Pontificia Universidad Javeriana, Carrera 7 # 40-62. 7th floor, Bogotá, 110231, Colombia.
Luis Carlos Triana MorenoDepartamento de Medicina interna, Pontificia Universidad Javeriana, Carrera 7 # 40-62. 7th floor, Bogotá, 110231, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is a frequent and clinically significant complication following cardiac surgery. Doppler-derived renal ultrasound parameters-including the renal resistive index (RRI), semiquantitative power Doppler ultrasound (PDU) scales, and intrarenal venous flow (IRVF)-have been proposed as early, noninvasive predictors of postoperative AKI, but their diagnostic accuracy in this setting remains uncertain.

methodsWe conducted a systematic review of diagnostic test accuracy studies evaluating RRI, PDU, or IRVF for predicting AKI within 7 days after cardiac surgery in adult intensive care unit patients. MEDLINE, Embase, Cochrane CENTRAL, Scopus, Web of Science, and clinical trial registries were searched through June 2025. Sensitivity, specificity, diagnostic odds ratio (DOR), and area under the receiver operating characteristic curve (AUC) were extracted or calculated. Meta-analysis was performed for RRI using hierarchical bivariate models; IRVF and PDU were summarized descriptively due to limited studies and heterogeneity.

resultsFourteen studies comprising 1,204 patients were included (12 RRI, 3 IRVF, 1 PDU). RRI thresholds between 0.71 and 0.74 demonstrated the highest diagnostic performance (AUC range 0.72-0.93). IRVF showed modest discrimination (AUC 0.62-0.66). Evidence for PDU was limited to one study. Substantial clinical and methodological heterogeneity was observed and overall certainty of evidence ranged from low to moderate.

conclusionsAmong Doppler-derived renal ultrasound parameters, RRI appears to have the most consistent diagnostic accuracy for predicting AKI after cardiac surgery. However, methodological heterogeneity, the limited number of studies, and the low-to-moderate certainty of the evidence preclude definitive clinical recommendations. Prospective multicenter validation studies with standardized protocols and prespecified thresholds are warranted.

Indexed as

Acute kidney injuryCardiac surgeryDiagnostic accuracyDoppler ultrasoundRenal resistive index

Identifiers

PMID42837066

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.