Evidence map›Paper›PMID 39742871›Full record

ArticleApplied clinical informatics2025

Effect of Tiered Implementation of Clinical Decision Support System for Acute Kidney Injury and Nephrotoxin Exposure in Cardiac Surgery Patients.

Christopher M Justice, Connor Nevin, Rebecca L Neely, Brian Dilcher, Nicole Kovacic-Scherrer, Heather Carter-Templeton, Aaron Ostrowski, Jacob Krafcheck, Gordon Smith, Paul McCarthy and 8 more

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Christopher M JusticeHeart and Vascular Institute, JW Ruby Memorial Hospital, West Virginia University, Morgantown, West Virginia, United States.
Connor NevinDepartment of Medicine, University of North Carolina, Chapel Hill, North Carolina, United States.
Rebecca L NeelyDepartment of Information Technology, West Virginia University, Morgantown, West Virginia, United States.
Brian DilcherDepartment of Emergency Medicine, West Virginia University, Morgantown, West Virginia, United States.
Nicole Kovacic-ScherrerSchool of Pharmacy, West Virginia University, Morgantown, West Virginia, United States.
Heather Carter-TempletonDepartment of Adult Health, School of Nursing, West Virginia University, Morgantown, West Virginia, United States.
Aaron OstrowskiNurse Anesthesia Program, School of Nursing, West Virginia University, Morgantown, West Virginia, United States.
Jacob KrafcheckHeart and Vascular Institute, JW Ruby Memorial Hospital, West Virginia University, Morgantown, West Virginia, United States.
Gordon SmithDepartment of Epidemiology and Biostatistics, West Virginia University, Morgantown, West Virginia, United States.
Paul McCarthyDivision of Cardiovascular Critical Care, Department of Cardiovascular and Thoracic Surgery, West Virginia University, Morgantown, West Virginia, United States.
Jami PincavitchDepartment of Internal Medicine, West Virginia University, Morgantown, West Virginia, United States.
Sandra Kane-GillDepartment of Pharmacy and Therapeutics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
Robert FreemanInstitute for Health Care Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
John A KellumDepartment of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
Roopa Kohli-SethInstitute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
Girish N NadkarniDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
Khaled ShawwaSection of Nephrology, Department of Internal Medicine, West Virginia University, Morgantown, West Virginia, United States.
Ankit SakhujaInstitute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States.

Funding

Pharmacology CoreU54AT008909 · NCCIH · WASHINGTON STATE UNIVERSITY · PI BOYCE, RICHARD DAVID · 2015 to 2024
$22.4M
The Pittsburgh Scientific and Data Research Center for the COPE-AKI Consortium (Pitt-SDRC)-SupplementU01DK130010 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Kaleab Z Abebe, LINDA Faith FRIED · 2021 to 2026
$6.1M
(MEnD-AKI) Multicenter Implementation of an Electronic Decision Support System for Drug-associated AKIR01DK121730 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BIHORAC, AZRA, KANE-GILL, SANDRA L · 2021 to 2025
$3.2M
Using Novel Machine Learning Methods to Personalize Strategies for Prevention of Persistent AKI after Cardiac SurgeryK08DK131286 · NIDDK · WEST VIRGINIA UNIVERSITY · PI Ankit Sakhuja · 2022 to 2026
$774k
NCCIH NIH HHS U54 AT008909NIDDK NIH HHS K08 DK131286NIDDK NIH HHS R01 DK121730NIDDK NIH HHS U01 DK130010
6 · The paper itself

Abstract

backgroundNephrotoxin exposure may worsen kidney injury and impair kidney recovery if continued in patients with acute kidney injury (AKI).

objectivesThis study aimed to determine if tiered implementation of a clinical decision support system (CDSS) would reduce nephrotoxin use in cardiac surgery patients with AKI.

methodsWe assessed patients admitted to the cardiac surgery intensive care unit at a tertiary care center from January 2020 to December 2021, and August 2022 to September 2023. A passive electronic AKI alert was activated in July 2020, followed by an electronic nephrotoxin alert in March 2023. In this alert, active nephrotoxic medication orders resulted in a passive alert, whereas new orders were met with an interruptive alert. Primary outcome was discontinuation of nephrotoxic medications within 30 hours after AKI. Secondary outcomes included AKI-specific clinical actions, determined through modified Delphi process and patient-centered outcomes. We compared all outcomes across five separate eras, divided based on the tiered implementation of these alerts.

resultsA total of 503 patients met inclusion criteria. Of 114 patients who received nephrotoxins before AKI, nephrotoxins were discontinued after AKI in 6 (25%) patients in pre AKI-alert era, 8 (33%) patients in post AKI-alert era, 7 (35%) patients in AKI-alert long-term follow up era, 7 (35%) patients in pre nephrotoxin-alert era, and 14 (54%) patients in post nephrotoxin-alert era (

conclusionTiered implementation of CDSS for recognition of AKI and nephrotoxin exposure resulted in a progressive improvement in the discontinuation of nephrotoxins.

Indexed as

Acute Kidney InjuryCardiac Surgical ProceduresDecision Support Systems, ClinicalAgedFemaleHumansMaleMiddle Aged

Identifiers

PMID39742871
PMCPMC11693401

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.