1. Performance of Doppler-based resistive index and semi-quantitative renal perfusion in predicting persistent AKI: results of a prospective multicenter study
- Author
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Alexandra Boivin, Jeremy Terreaux, Stéphane Rouleau, Yves Cohen, Marie Reynaud, Aurélie Bourmaud, Mourad Benyamina, Michael Darmon, Ferhat Meziani, Alexandre Lautrette, David Schnell, Matthieu Legrand, Jérôme Morel, François Vincent, and Christophe Leroy
- Subjects
Adult ,Male ,medicine.medical_specialty ,Critical Care ,Critical Illness ,030204 cardiovascular system & hematology ,urologic and male genital diseases ,Critical Care and Intensive Care Medicine ,Renal Circulation ,law.invention ,03 medical and health sciences ,symbols.namesake ,0302 clinical medicine ,Predictive Value of Tests ,law ,Internal medicine ,Humans ,Medicine ,Prospective Studies ,Ultrasonography, Doppler, Color ,Renal perfusion ,Aged ,business.industry ,Acute kidney injury ,030208 emergency & critical care medicine ,Acute Kidney Injury ,Middle Aged ,medicine.disease ,Intensive care unit ,Resistive index ,Renal Replacement Therapy ,ROC Curve ,Multicenter study ,Cardiology ,symbols ,Female ,Vascular Resistance ,business ,Doppler effect ,Semi quantitative ,Cohort study - Abstract
The Doppler-based resistive index (RI) and semi-quantitative evaluation of renal perfusion using color Doppler (SQP) have shown promising results for predicting persistent acute kidney injury (AKI) in preliminary studies. This study aimed at evaluating the performance of RI and SQP to predict short-term renal prognosis in critically ill patients.Prospective multicenter cohort study including unselected critically ill patients. Renal Doppler was performed at admission to the intensive care unit. The diagnostic performance of RI and SQP to predict persistent AKI at day 3 was evaluated.Overall, 371 patients were included, of whom 351 could be assessed for short-term renal recovery. Two thirds of the included patients had AKI (n = 233; 66.3%), of whom 136 had persistent AKI (58.4%). Doppler-based RI was higher and SQP lower in AKI patients and according to AKI recovery. Overall performance in predicting persistent AKI was however poor with area under ROC curve of respectively 0.58 (95% CI 0.52-0.64) and 0.59 (95% CI 0.54-0.65) for RI and SQP. Optimal cutoff was respectively 0.71 and 2 for RI and SQP. At optimal cutoff, sensitivity and specificity were 50% (95% CI 41-58%) and 68% (62-74%) for RI and 39% (32-45%) and 75% (66-82%) for SQP.Although statistically associated with AKI occurrence, RI and SQP perform poorly in predicting persistent AKI at day 3. Further studies are needed to adequately describe factors influencing Doppler-based assessment of renal perfusion and to delineate whether these indicators may be useful at the bedside. CLINICALTRIAL.GOV: NCT02355314.
- Published
- 2018
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