ASN's Mission

To create a world without kidney diseases, the ASN Alliance for Kidney Health elevates care by educating and informing, driving breakthroughs and innovation, and advocating for policies that create transformative changes in kidney medicine throughout the world.

learn more

Contact ASN

1401 H St, NW, Ste 900, Washington, DC 20005

email@asn-online.org

202-640-4660

The Latest on X

Kidney Week

Please note that you are viewing an archived section from 2023 and some content may be unavailable. To unlock all content for 2023, please visit the archives.

Abstract: SA-PO135

Combining Arterial and Venous Intrarenal Doppler Assessment for the Prediction of AKI After Cardiac Surgery

Session Information

Category: Acute Kidney Injury

  • 102 AKI: Clinical, Outcomes, and Trials

Authors

  • Giles, Cameron, McMaster University, Hamilton, Ontario, Canada
  • Denault, André, Universite de Montreal, Montreal, Quebec, Canada
  • Beaubien-Souligny, William, Universite de Montreal, Montreal, Quebec, Canada
Background

Acute kidney injury (AKI) is common after cardiac surgery and often hemodynamically mediated. The roles of ultrasound measures of intrarenal perfusion to predict AKI are yet to be determined. The objective of this study was to determine if point-of-care ultrasound Doppler measures of intrarenal arterial and venous flow predict AKI after cardiac surgery.

Methods

We conducted a secondary analysis of a prospective cohort study of adult patients undergoing cardiac surgery in whom ultrasound assessments were performed at ICU admission after surgery. AKI was defined by the KDIGO creatinine criteria. Intrarenal arterial markers included renal resistive index (RRI) and velocity-time integral normalized to peak systolic velocity (VTI/PSV), while venous markers included intrarenal venous flow (IRVF) categories and renal venous stasis index (RVSI). The area under the receiving operating characteristic (AUROC) curves were used to determine the predictive characteristics for post-operative AKI. The performance of individual markers were compared to a combined RRI and RVSI logistic regression model using the net classification index (NRI) and AUROC were compared with the DeLong test.

Results

We included 131 patients in total, with 47 patients (35.9%) developing post-operative AKI. All studied ultrasound markers showed moderate discrimination for the subsequent development of AKI (Table 1). More complex measurements (VTI/PSV and RVSI) were not superior to simpler indices (RRI and IRVF). In a multivariable model, both RRI (aOR:1.70, CI:1.09-2.66, p=0.02) and RVSI (aOR:0.85, CI:0.04-0.98, p=0.048) remained associated with AKI. The predicted probabilities from the model were slightly better than each index taken individually according to the NRI. However, the AUROC were not significantly different (Table 1).

Conclusion

Intrarenal arterial and venous Doppler indices moderately predict the development of post-operative AKI in cardiac surgery patients. However, combining arterial and venous Doppler indices only marginally improves prediction.

Echographic Parameters and AKI After Cardiac Surgery
Echographic ParameterPostoperative Day 0DeLong Test/Net Reclassification Index
AUROC95% CIP Value
RRI0.640.55-0.740.006p=0.38 / NRI: 0.32 (CI: -0.06; 0.69)
VTI/PSV0.670.57-0.770.001
IRVF Category0.640.53-0.740.009p=0.19 / NRI: -0.52 (CI: -0.82; 0.20)
RVSI0.600.50-0.710.045
Predicted probability of model: RRI + RVSI0.690.59-0.78<0.001Vs RRI: p=0.50 / NRI: 0.50 (CI: 0.17; 0.84)
Vs RVSI : p=0.38 / NRI: 0.38 (CI: 0.04; 0.70)