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Personalised recommendations for hospitalised patients with Acute Kidney Injury using a Kidney Action Team (KAT-AKI): protocol and early data of a randomised controlled trial.
Aklilu, Abinet Mathias; O'Connor, Kyle D; Martin, Melissa; Yamamoto, Yu; Coronel-Moreno, Claudia; Shvets, Kristina; Jones, Charles; Kadhim, Bashar; Corona-Villalobos, Celia P; Baker, Megan L; Tan, Jiawei; Freeman, Natasha; Groener, Marwin; Menez, Steven; Brown, Dannielle; Culli, Samuel E; Lindsley, John; Orias, Marcelo; Parikh, Chirag; Smith, Abigail; Sundararajan, Anusha; Wilson, Francis P.
  • Aklilu AM; Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
  • O'Connor KD; Section of Nephrology, Department of Internal Medicine, Yale New Haven Hospital, New Haven, Connecticut, USA.
  • Martin M; Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
  • Yamamoto Y; Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
  • Coronel-Moreno C; Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
  • Shvets K; Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
  • Jones C; Department of Pharmacology, Yale New Haven Hospital, New Haven, Connecticut, USA.
  • Kadhim B; Department of Pharmacology, Yale New Haven Hospital, New Haven, Connecticut, USA.
  • Corona-Villalobos CP; Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
  • Baker ML; Department of Internal Medicine, Yale New Haven Hospital, New Haven, Connecticut, USA.
  • Tan J; Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Freeman N; Section of Nephrology, Department of Internal Medicine, Yale New Haven Hospital, New Haven, Connecticut, USA.
  • Groener M; Department of Internal Medicine, Bridgeport Hospital, Bridgeport, Connecticut, USA.
  • Menez S; Department of Internal Medicine, Yale New Haven Hospital, New Haven, Connecticut, USA.
  • Brown D; Department of Internal Medicine, Yale New Haven Hospital, New Haven, Connecticut, USA.
  • Culli SE; Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Lindsley J; Department of Pharmacology, The Johns Hopkins Hospital, Baltimore, Maryland, USA.
  • Orias M; Department of Pharmacy, The Johns Hopkins Hospital, Baltimore, Maryland, USA.
  • Parikh C; Department of Pharmacy, The Johns Hopkins Hospital, Baltimore, Maryland, USA.
  • Smith A; Section of Nephrology, Department of Internal Medicine, Yale New Haven Hospital, New Haven, Connecticut, USA.
  • Sundararajan A; Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Wilson FP; Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
BMJ Open ; 13(4): e071968, 2023 04 17.
Article in English | MEDLINE | ID: covidwho-2290802
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Acute Kidney Injury / COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: BMJ Open Year: 2023 Document Type: Article Affiliation country: Bmjopen-2023-071968

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Acute Kidney Injury / COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: BMJ Open Year: 2023 Document Type: Article Affiliation country: Bmjopen-2023-071968