TY - JOUR
T1 - Personalised recommendations for hospitalised patients with Acute Kidney Injury using a Kidney Action Team (KAT-AKI)
T2 - Protocol and early data of a randomised controlled trial
AU - Aklilu, Abinet Mathias
AU - O'Connor, Kyle D.
AU - Martin, Melissa
AU - Yamamoto, Yu
AU - Coronel-Moreno, Claudia
AU - Shvets, Kristina
AU - Jones, Charles
AU - Kadhim, Bashar
AU - Corona-Villalobos, Celia P.
AU - Baker, Megan L.
AU - Tan, Jiawei
AU - Freeman, Natasha
AU - Groener, Marwin
AU - Menez, Steven
AU - Brown, Dannielle
AU - Culli, Samuel E.
AU - Lindsley, John
AU - Orias, Marcelo
AU - Parikh, Chirag
AU - Smith, Abigail
AU - Sundararajan, Anusha
AU - Wilson, Francis P.
N1 - Funding Information:
This project is supported by the Agency for Health Research and Quality (grant R01HS027626). The funding agency (sponsor) had no role in the trial design, conduct or writing of this article. FPW is funded by grants R01DK113191, R01HS027626 and P30DK079310. CP is supported by National Institutes of Health grants R01HL085757, U01DK106962 and R01DK093770.
Publisher Copyright:
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2023/4/17
Y1 - 2023/4/17
N2 - Introduction Although studies have examined the utility of clinical decision support tools in improving acute kidney injury (AKI) outcomes, no study has evaluated the effect of real-time, personalised AKI recommendations. This study aims to assess the impact of individualised AKI-specific recommendations delivered by trained clinicians and pharmacists immediately after AKI detection in hospitalised patients. Methods and analysis KAT-AKI is a multicentre randomised investigator-blinded trial being conducted across eight hospitals at two major US hospital systems planning to enrol 4000 patients over 3 years (between 1 November 2021 and 1 November 2024). A real-time electronic AKI alert system informs a dedicated team composed of a physician and pharmacist who independently review the chart in real time, screen for eligibility and provide combined recommendations across the following domains: diagnostics, volume, potassium, acid-base and medications. Recommendations are delivered to the primary team in the alert arm or logged for future analysis in the usual care arm. The planned primary outcome is a composite of AKI progression, dialysis and mortality within 14 days from randomisation. A key secondary outcome is the percentage of recommendations implemented by the primary team within 24 hours from randomisation. The study has enrolled 500 individuals over 8.5 months. Two-thirds were on a medical floor at the time of the alert and 17.8% were in an intensive care unit. Virtually all participants were recommended for at least one diagnostic intervention. More than half (51.6%) had recommendations to discontinue or dose-adjust a medication. The median time from AKI alert to randomisation was 28 (IQR 15.8-51.5) min. Ethics and dissemination The study was approved by the ethics committee of each study site (Yale University and Johns Hopkins institutional review board (IRB) and a central IRB (BRANY, Biomedical Research Alliance of New York). We are committed to open dissemination of the data through clinicaltrials.gov and sharing of data on an open repository as well as publication in a peer-reviewed journal on completion. Trial registration number NCT04040296.
AB - Introduction Although studies have examined the utility of clinical decision support tools in improving acute kidney injury (AKI) outcomes, no study has evaluated the effect of real-time, personalised AKI recommendations. This study aims to assess the impact of individualised AKI-specific recommendations delivered by trained clinicians and pharmacists immediately after AKI detection in hospitalised patients. Methods and analysis KAT-AKI is a multicentre randomised investigator-blinded trial being conducted across eight hospitals at two major US hospital systems planning to enrol 4000 patients over 3 years (between 1 November 2021 and 1 November 2024). A real-time electronic AKI alert system informs a dedicated team composed of a physician and pharmacist who independently review the chart in real time, screen for eligibility and provide combined recommendations across the following domains: diagnostics, volume, potassium, acid-base and medications. Recommendations are delivered to the primary team in the alert arm or logged for future analysis in the usual care arm. The planned primary outcome is a composite of AKI progression, dialysis and mortality within 14 days from randomisation. A key secondary outcome is the percentage of recommendations implemented by the primary team within 24 hours from randomisation. The study has enrolled 500 individuals over 8.5 months. Two-thirds were on a medical floor at the time of the alert and 17.8% were in an intensive care unit. Virtually all participants were recommended for at least one diagnostic intervention. More than half (51.6%) had recommendations to discontinue or dose-adjust a medication. The median time from AKI alert to randomisation was 28 (IQR 15.8-51.5) min. Ethics and dissemination The study was approved by the ethics committee of each study site (Yale University and Johns Hopkins institutional review board (IRB) and a central IRB (BRANY, Biomedical Research Alliance of New York). We are committed to open dissemination of the data through clinicaltrials.gov and sharing of data on an open repository as well as publication in a peer-reviewed journal on completion. Trial registration number NCT04040296.
KW - Acute renal failure
KW - Adult nephrology
KW - INTENSIVE & CRITICAL CARE
KW - Nephrology
KW - Quality in health care
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U2 - 10.1136/bmjopen-2023-071968
DO - 10.1136/bmjopen-2023-071968
M3 - Article
C2 - 37068906
AN - SCOPUS:85152698487
SN - 2044-6055
VL - 13
JO - BMJ open
JF - BMJ open
IS - 4
M1 - bmjopen-2023-071968
ER -