Heterogeneity in Acute Kidney Injury Management in Critically Ill Patients: National Survey

Khaled Shawwa; Kwame Akuamoah-Boateng; Carrie Griffiths; Connor Nevin; Nicole Scherrer; Paul McCarthy; Matthew A. Sparks; Kianoush Kashani; Javier A. Neyra; Ankit Sakhuja

doi:10.1016/j.nurpra.2023.104776

Heterogeneity in Acute Kidney Injury Management in Critically Ill Patients: National Survey

Khaled Shawwa, Kwame Akuamoah-Boateng, Carrie Griffiths, Connor Nevin, Nicole Scherrer, Paul McCarthy, Matthew A. Sparks, Kianoush Kashani, Javier A. Neyra, Ankit Sakhuja

Research output: Contribution to journal › Article › peer-review

Abstract

We conducted a descriptive survey study with 365 multidisciplinary critical care providers to examine the heterogeneity in using tools for diagnosing acute kidney injury (AKI) in critical care settings. Results indicated that 52% of respondents used point-of-care ultrasound, followed by 15% using novel biomarkers and 8% using formal kidney ultrasound imaging for diagnostic testing. Cystatin C was the most commonly used novel biomarker (72% of respondents). Only 6% used prediction models and an integrated clinical decision support system to identify patients at high-risk for developing AKI. We confirmed that significant variation exists in the diagnosis of critically ill patients with AKI.

Original language	English
Article number	104776
Journal	Journal for Nurse Practitioners
Volume	19
Issue number	10
DOIs	https://doi.org/10.1016/j.nurpra.2023.104776
State	Published - 1 Nov 2023

Keywords

acute kidney injury
biomarkers
critical care
nephrology
POCUS

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abstract = "We conducted a descriptive survey study with 365 multidisciplinary critical care providers to examine the heterogeneity in using tools for diagnosing acute kidney injury (AKI) in critical care settings. Results indicated that 52% of respondents used point-of-care ultrasound, followed by 15% using novel biomarkers and 8% using formal kidney ultrasound imaging for diagnostic testing. Cystatin C was the most commonly used novel biomarker (72% of respondents). Only 6% used prediction models and an integrated clinical decision support system to identify patients at high-risk for developing AKI. We confirmed that significant variation exists in the diagnosis of critically ill patients with AKI.",

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AU - Scherrer, Nicole

AU - McCarthy, Paul

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AU - Kashani, Kianoush

AU - Neyra, Javier A.

AU - Sakhuja, Ankit

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AB - We conducted a descriptive survey study with 365 multidisciplinary critical care providers to examine the heterogeneity in using tools for diagnosing acute kidney injury (AKI) in critical care settings. Results indicated that 52% of respondents used point-of-care ultrasound, followed by 15% using novel biomarkers and 8% using formal kidney ultrasound imaging for diagnostic testing. Cystatin C was the most commonly used novel biomarker (72% of respondents). Only 6% used prediction models and an integrated clinical decision support system to identify patients at high-risk for developing AKI. We confirmed that significant variation exists in the diagnosis of critically ill patients with AKI.

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Heterogeneity in Acute Kidney Injury Management in Critically Ill Patients: National Survey

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