The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Quantifying systemic congestion with Point-Of-Care ultrasound: development of the venous excess ultrasound grading system
Open accessAbstract
Background: Organ congestion is a mediator of adverse outcomes in critically ill patients. Point-Of-Care ultrasound (POCUS) is widely available and could enable clinicians to detect signs of venous congestion at the bedside. The aim of this study was to develop several grading system prototypes using POCUS and to determine their respective ability to predict acute kidney injury (AKI) after cardiac surgery. This is a post-hoc analysis of a single-center prospective study in 145 patients undergoing cardiac surgery for which repeated daily measurements of hepatic, portal, intra-renal vein Doppler and inferior vena cava (IVC) ultrasound were performed during the first 72 h after surgery. Five prototypes of venous excess ultrasound (VExUS) grading system combining multiple ultrasound markers were developed. Results: The association between each score and AKI was assessed using time-dependant Cox models as well as conventional performance measures of diagnostic testing. A total of 706 ultrasound assessments were analyzed. We found that defining severe venous congestion as the presence of severe flow abnormalities in multiple Doppler patterns with a dilated IVC (≥ 2 cm) showed the strongest association with the development of subsequent AKI compared with other combinations (HR: 3.69 CI 1.65–8.24 p = 0.001). The association remained significant after adjustment for baseline risk of AKI and vasopressor/inotropic support (HR: 2.82 CI 1.21–6.55 p = 0.02). Furthermore, this severe VExUS grade offered a useful positive likelihood ratio (+LR: 6.37 CI 2.19–18.50) when detected at ICU admission, which outperformed central venous pressure measurements. Conclusions: The combination of multiple POCUS markers may identify clinically significant venous congestion.
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KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease
Stevens, P. E., Ahmed, S. B., Carrero, J. J., Foster, B., Francis, A., Hall, R. K., Herrington, W. G., Hill, G., Inker, L. A., Kazancıoğlu, R., et al. (2024) · Kidney International · doi:10.1016/j.kint.2023.10.018 · Cited by 8,530
Rudski, L. G., Lai, W. W., Afilalo, J., Hua, L., Handschumacher, M. D., Chandrasekaran, K., Solomon, S. D., Louie, E. K., & Schiller, N. B. (2010) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2010.05.010 · Cited by 7,049
Intravenous Fluids and Acute Kidney Injury
Ding, X., Cheng, Z., & Qian, Q. (2017) · Blood Purification · doi:10.1159/000452702 · Cited by 6,827
Levey, A. S., Coresh, J., Greene, T., Stevens, L. A., Zhang, Y. (., Hendriksen, S., Kusek, J. W., & Van Lente, F. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-145-4-200608150-00004 · Cited by 5,725
(2013) · Kidney International Supplements · doi:10.1038/kisup.2012.73 · Cited by 3,206
van Diepen, S., Katz, J. N., Albert, N. M., Henry, T. D., Jacobs, A. K., Kapur, N. K., Kilic, A., Menon, V., Ohman, E. M., Sweitzer, N. K., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000525 · Cited by 1,869
Boyd, J. H., Forbes, J., Nakada, T.-A., Walley, K. R., & Russell, J. A. (2011) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181feeb15 · Cited by 1,517
Gaies, M. G., Gurney, J. G., Yen, A. H., Napoli, M. L., Gajarski, R. J., Ohye, R. G., Charpie, J. R., & Hirsch, J. C. (2010) · Pediatric Critical Care Medicine · doi:10.1097/pcc.0b013e3181b806fc · Cited by 1,325
Fluid balance and acute kidney injury
Prowle, J. R., Echeverri, J. E., Ligabo, E. V., Ronco, C., & Bellomo, R. (2010) · Nature Reviews Nephrology · doi:10.1038/nrneph.2009.213 · Cited by 503
Damman, K., Navis, G., Smilde, T. D. J., Voors, A. A., van der Bij, W., van Veldhuisen, D. J., & Hillege, H. L. (2007) · European Journal of Heart Failure · doi:10.1016/j.ejheart.2007.05.010 · Cited by 471
Cited by
How can assessing hemodynamics help to assess volume status?
De Backer, D., Aissaoui, N., Cecconi, M., Chew, M. S., Denault, A., Hajjar, L., Hernandez, G., Messina, A., Myatra, S. N., Ostermann, M., et al. (2022) · Intensive Care Medicine · doi:10.1007/s00134-022-06808-9 · Cited by 199
Self-citationHemodynamic monitoring in pediatric cardiac critical care
Kumar, A., & Joshi, R. K. (2025) · JOURNAL OF PEDIATRIC CRITICAL CARE · doi:10.4103/jpcc.jpcc_21_25 · Cited by 2
Metadata
- Authors
- Beaubien-Souligny, W., Rola, P., Haycock, K., Bouchard, J., Lamarche, Y., Spiegel, R., & Denault, A. Y.
- Venue
- The Ultrasound Journal
- Publisher
- Mattioli1885
- Published
- 2020-04-09
- Volume
- 12
- Issue
- 1
- Pages
- 16-16
- ISSN
- 2036-3176 (ISSN-L)
- 2524-8987
- OpenAlex
- W3016105042
- Cited by
- 698
- References
- 37
- FWCI
- 33.79
- Type
- journal article
- Language
- en
- Open access
- gold
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- Beaubien-Souligny, W., Rola, P., Haycock, K., Bouchard, J., Lamarche, Y., Spiegel, R., & Denault, A. Y. (2020). Quantifying systemic congestion with Point-Of-Care ultrasound: development of the venous excess ultrasound grading system. The Ultrasound Journal. https://doi.org/10.1186/s13089-020-00163-w
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