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Clin Trials. 2014 Oct;11(5):521-9. doi: 10.1177/1740774514542619. Epub 2014 Jul 14.

A trial of in-hospital, electronic alerts for acute kidney injury: design and rationale.

Author information

1
Renal, Electrolyte and Hypertension Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA francisw@mail.med.upenn.edu.
2
Renal, Electrolyte and Hypertension Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA.
3
Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA Pulmonary, Allergy and Critical Care Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
4
Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
5
Renal, Electrolyte and Hypertension Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
6
Department of Information Services, University of Pennsylvania, Philadelphia PA, USA.
7
Pulmonary, Allergy and Critical Care Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.

Abstract

BACKGROUND:

Acute kidney injury is common in hospitalized patients, increases morbidity and mortality, and is under-recognized. To improve provider recognition, we previously developed an electronic alert system for acute kidney injury. To test the hypothesis that this electronic acute kidney injury alert could improve patient outcome, we designed a randomized controlled trial to test the effectiveness of this alert in hospitalized patients. The study design presented several methodologic, ethical, and statistical challenges.

PURPOSE:

To highlight the challenges faced and the solutions employed in the design and implementation of a clinical trial to determine whether the provision of an early electronic alert for acute kidney injury would improve outcomes in hospitalized patients. Challenges included how to randomize the delivery of the alert system and the ethical framework for waiving informed consent. Other methodologic challenges included the selection and statistical evaluation of our study outcome, a ranked-composite of a continuous covariate (creatinine) and two dichotomous outcomes (dialysis and death), and the use of the medical record as a source of trial data.

METHODS:

We have designed a randomized trial to assess the effectiveness of an electronic alert system for acute kidney injury. With broad inclusion criteria, and a waiver of informed consent, we enroll and randomize virtually every patient with acute kidney injury in our hospital.

RESULTS:

As of 31 March 2014, we have enrolled 2373 patients of 2400 targeted. Pre-alert data demonstrated a strong association between severity of acute kidney injury and inpatient mortality with a range of 6.4% in those with mild, stage 1 acute kidney injury, to 29% among those with stage 3 acute kidney injury (p < 0.001). We judged that informed consent would undermine the scientific validity of the study and present harms that are out of proportion to the very low risk intervention.

CONCLUSION:

Our study demonstrates the feasibility of designing an ethical randomized controlled trial of an early electronic alert for acute kidney injury without obtaining informed consent from individual participants. Our study outcome may serve as a model for other studies of acute kidney injury, insofar as our paradigm accounts for the effect that early death and dialysis have on assessment of acute kidney injury severity as defined by maximum achieved serum creatinine.

TRIAL REGISTRATION:

ClinicalTrials.gov NCT01862419.

KEYWORDS:

Acute kidney injury; acute renal failure; composite outcomes; ethics; waiver of informed consent

Comment in

PMID:
25023200
PMCID:
PMC4156885
DOI:
10.1177/1740774514542619
[Indexed for MEDLINE]
Free PMC Article
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