Literature DB >> 32615734

The predictive value of the intraoperative Renal Pulsatility Index for acute kidney injury in patients undergoing cardiac surgery.

Hui Zhang1, Kang Zhou1, Dongyue Wang1, Na Zhang1, Jindong Liu2,3.   

Abstract

BACKGROUND: The incidence of cardiac surgery-associated acute kidney injury (CSA-AKI) is very high. The Renal Resistive Index (RRI) is measured by transesophageal echocardiography (TEE) and can be used to predict the occurrence of CSA-AKI, but few studies have examined the Renal Pulsatility Index (RPI). The objective of this study was to explore the predictive value of intraoperative RPI for CSA-AKI.
METHODS: This study was a prospective observational study. Seventy-eight patients meeting the inclusion criteria were enrolled. The RPI was measured by TEE after the induction of general anesthesia (T1) and immediately after the surgery (T2). Serum creatinine (Scr) was measured one day before and seven days after the surgery. The diagnosis of AKI was based on the KDIGO diagnostic criteria. Multivariate logistic regression analysis was used to analyze the risk factors for postoperative AKI and to draw the receiver operating characteristic curve (ROC) and analyze its diagnostic value for AKI.
RESULTS: The incidence of postoperative AKI was 29.5%. The RPI at T2 was higher in the AKI group than in the non-AKI group (2.05±0.69 versus 1.49±0.48, P<0.001). The results of multivariate analysis showed that the RPI at T2 was an independent risk factor for the occurrence of AKI (OR=4.683, 95% CI: 1.592-13.772; P=0.006). The area under the curve (AUC) of the RPI was 0.733 (95% CI: 0.621-0.827) with a cut-off value of 1.86 (sensitivity 60.87%, specificity 85.45% and Youden Index 0.46).
CONCLUSIONS: An RPI at T2>1.86 is correlated with a higher incidence of postoperative AKI. Treatment guided and personalized on the base of this parameter should be investigated by further dedicated studies.

Entities:  

Year:  2020        PMID: 32615734     DOI: 10.23736/S0375-9393.20.14460-2

Source DB:  PubMed          Journal:  Minerva Anestesiol        ISSN: 0375-9393            Impact factor:   3.051


  2 in total

1.  Doppler ultrasound in the assessment of renal perfusion before and during continuous kidney replacement therapy in the pediatric intensive care unit.

Authors:  Sarah N Fernández; Jorge López; Rafael González; María J Solana; Javier Urbano; Alejandra Aguado; Ángel Lancharro; Jesús López-Herce; María J Santiago
Journal:  Pediatr Nephrol       Date:  2022-03-14       Impact factor: 3.651

2.  Machine learning in predicting cardiac surgery-associated acute kidney injury: A systemic review and meta-analysis.

Authors:  Zhe Song; Zhenyu Yang; Ming Hou; Xuedong Shi
Journal:  Front Cardiovasc Med       Date:  2022-09-15
  2 in total

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