Intrarenal Vein Congestion Score but Not Venous Excess Ultrasonography Is Associated with Kidney Perfusion and Etiology of AKI

Background: Proper diagnosis of acute kidney injury (AKI) etiology contributes to adequate treatment and a more favorable renal prognosis. Recently, a 4-point Venous Excess Ultrasound (VExUS) was introduced for AKI prediction. Due to the poor diagnostic performance of Vena Cava Inferior (VCI) maximal diameter in congestion assessment, interlobular renal vein Doppler flow patterns evaluation expressed as IntraRenal Vein Congestion Score (IRVCS) can be more appropriate for AKI etiology diagnosis. The study aimed to investigate the usefulness of IRVCS in predicting AKI etiology. Methods: Twenty-four patients (10F, 14M; age 64 ±11) hospitalized due to AKI of unknown origin were evaluated in duplex Doppler ultrasound with the assessment of VExUS (grade 0-3): VCI; Hepatic Veins Systolic to Diastolic ratio, Portal Vein Pulsatility Index (PVPI), Real Vein Doppler. Moreover, Peak Systolic (PSV) and End-Diastolic Velocities (EDV) in interlobar renal arteries and IRVCS (stage 0-3) were investigated. Serum blood NT-proBNP and creatinine with eGFR-CKD-EPI calculation were tested. At discharge, the more probable etiology of AKI was identified as hypovolemia, hypervolemia, and inflammation. Results: Mean creatinine was 3.48 ±1.82 mg/dL (CKD-EPI 22.97 ±13.15 mL/min/1.73m2) and NT-proBNP 9169.1 (IQR 5667.2) pg/mL. Abnormal IRVCS was found in 7 (29%) patients (2 – stage 1, 4 – stage 2, and 1 – stage 3), but VExUS revealed congestion in 12 (50%) patients (11 - grade 1, 1 - grade 3); p< 0.001. IRVSC significantly correlated with NT-proBNP (r=0.573; p=0.010), PSV (r= -0.557; p=0.011), EDV (r= -0.442; p=0.045), PVPI (0.485; p=0.026), and VExUS (r= 0.461; p=0.035). However, VExUS correlated only with VCI (r=0.753; p< 0.001) and IRVSC. Hypovolemic AKI etiology was recognized in 8 patients, hypervolemic in 7, and inflammation in 9. Logistic regression revealed that only IRVSC could substantially predict the hypervolemic etiology of AKI (OR 2.763; 95%CI: 1.008-7.570; p= 0.048). VExUS had no corresponding predictive properties (OR 2.070; 95%CI: 0.580-7.388; p= 0.262). Conclusion: IntraRenal Vein Congestion Score is significantly associated with renal perfusion and can help predict the hypervolemic etiology of AKI. The presented data suggest that IRVCS is more appropriate than VExUS in diagnosing the etiology of AKI. Funding: Government Support – Non-U.S.

Authors

Institutions

Publication Details

Journal
Journal of the American Society of Nephrology
Published
2024-10-01
DOI
https://doi.org/10.1681/asn.2024wre4p295
Primary Topic
Renal and Vascular Pathologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intrarenal Vein Congestion Score but Not Venous Excess Ultrasonography Is Associated with Kidney Perfusion and Etiology of AKI

Arkadiusz Lubas, Ewelina Jędrych, Stanisław Niemczyk, Anna Grzywacz et al.
Journal of the American Society of Nephrology
Renal and Vascular Pathologies
article

Intrarenal Vein Congestion Score but Not Venous Excess Ultrasonography Is Associated with Kidney Perfusion and Etiology of AKI

Arkadiusz Lubas, Ewelina Jędrych, Stanisław Niemczyk, Anna Grzywacz, Adam Rytel
article en

Abstract

Background: Proper diagnosis of acute kidney injury (AKI) etiology contributes to adequate treatment and a more favorable renal prognosis. Recently, a 4-point Venous Excess Ultrasound (VExUS) was introduced for AKI prediction. Due to the poor diagnostic performance of Vena Cava Inferior (VCI) maximal diameter in congestion assessment, interlobular renal vein Doppler flow patterns evaluation expressed as IntraRenal Vein Congestion Score (IRVCS) can be more appropriate for AKI etiology diagnosis. The study aimed to investigate the usefulness of IRVCS in predicting AKI etiology. Methods: Twenty-four patients (10F, 14M; age 64 ±11) hospitalized due to AKI of unknown origin were evaluated in duplex Doppler ultrasound with the assessment of VExUS (grade 0-3): VCI; Hepatic Veins Systolic to Diastolic ratio, Portal Vein Pulsatility Index (PVPI), Real Vein Doppler. Moreover, Peak Systolic (PSV) and End-Diastolic Velocities (EDV) in interlobar renal arteries and IRVCS (stage 0-3) were investigated. Serum blood NT-proBNP and creatinine with eGFR-CKD-EPI calculation were tested. At discharge, the more probable etiology of AKI was identified as hypovolemia, hypervolemia, and inflammation. Results: Mean creatinine was 3.48 ±1.82 mg/dL (CKD-EPI 22.97 ±13.15 mL/min/1.73m2) and NT-proBNP 9169.1 (IQR 5667.2) pg/mL. Abnormal IRVCS was found in 7 (29%) patients (2 – stage 1, 4 – stage 2, and 1 – stage 3), but VExUS revealed congestion in 12 (50%) patients (11 - grade 1, 1 - grade 3); p< 0.001. IRVSC significantly correlated with NT-proBNP (r=0.573; p=0.010), PSV (r= -0.557; p=0.011), EDV (r= -0.442; p=0.045), PVPI (0.485; p=0.026), and VExUS (r= 0.461; p=0.035). However, VExUS correlated only with VCI (r=0.753; p< 0.001) and IRVSC. Hypovolemic AKI etiology was recognized in 8 patients, hypervolemic in 7, and inflammation in 9. Logistic regression revealed that only IRVSC could substantially predict the hypervolemic etiology of AKI (OR 2.763; 95%CI: 1.008-7.570; p= 0.048). VExUS had no corresponding predictive properties (OR 2.070; 95%CI: 0.580-7.388; p= 0.262). Conclusion: IntraRenal Vein Congestion Score is significantly associated with renal perfusion and can help predict the hypervolemic etiology of AKI. The presented data suggest that IRVCS is more appropriate than VExUS in diagnosing the etiology of AKI. Funding: Government Support – Non-U.S.

Journal of the American Society of NephrologyVol. 35(10S)
Wojskowy Instytut Medyczny (PL)
Zero hunger
Openalex Percentile: Top 65%
Renal and Vascular Pathologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.