Evidence map›Paper›PMID 37758384›Full record

ArticleJACC. Cardiovascular interventions2023

Contemporary Methods for Predicting Acute Kidney Injury After Coronary Intervention.

Anezi Uzendu, Kevin Kennedy, Glenn Chertow, Amit P Amin, Jay S Giri, Jennifer A Rymer, Sripal Bangalore, Kimberly Lavin, Cornelia Anderson, Tracy Y Wang and 2 more

Open access · greenAbstract read
In one paragraph

Article in JACC. Cardiovascular interventions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.4field-weighted citation impact, top 3% of its field
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

18 citing papers in PubMed, 27 citations in OpenAlex.

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  2. Lower AKI Risk and Higher Survival With Microaxial Flow Pump Support During Elective PCI: A Propensity Score-Matched Study.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 1 country.

Anezi UzenduCardiovascular Outcomes, Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA; University of Missouri Kansas City, Kansas City, Missouri, USA. Electronic address: uzendu14@gmail.com.
Kevin KennedyCardiovascular Outcomes, Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA; University of Missouri Kansas City, Kansas City, Missouri, USA.
Glenn ChertowDepartment of Medicine, Stanford University, Stanford, California, USA.
Amit P AminDartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Jay S GiriPenn Center for Quality, Outcomes, and Evaluative Research, Perelman School of Medicine at University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jennifer A RymerDepartment of Medicine, Duke University, Durham, North Carolina, USA.
Sripal BangaloreDepartment of Medicine, New York University Langone, New York, New York, USA.
Kimberly LavinDepartment of Science and Quality, American College of Cardiology, Washington, DC, USA.
Cornelia AndersonDepartment of Science and Quality, American College of Cardiology, Washington, DC, USA.
Tracy Y WangDepartment of Medicine, Duke University, Durham, North Carolina, USA.
Jeptha P CurtisSection of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
John A SpertusCardiovascular Outcomes, Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA; University of Missouri Kansas City, Kansas City, Missouri, USA.
Saint Luke's Health System · USAmerican College of Cardiology · USDuke University · USDartmouth–Hitchcock Medical Center · USNYU Langone Health · USStanford University · USUniversity of Pennsylvania · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
CARDIOVASCULAR OUTCOMES RESEARCH TRAINING PROGRAMT32HL110837 · NHLBI · UNIVERSITY OF MISSOURI KANSAS CITY · PI JOHN A SPERTUS · 2012 to 2026
$5.0M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS T32 HL110837
6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is the most common complication after percutaneous coronary intervention (PCI). Accurately estimating patients' risks not only creates a means of benchmarking performance but can also be used prospectively to inform practice.

objectivesThe authors sought to update the 2014 National Cardiovascular Data Registry (NCDR) AKI risk model to provide contemporary estimates of AKI risk after PCI to further improve care.

methodsUsing the NCDR CathPCI Registry, we identified all 2020 PCIs, excluding those on dialysis or lacking postprocedural creatinine. The cohort was randomly split into a 70% derivation cohort and a 30% validation cohort, and logistic regression models were built to predict AKI (an absolute increase of 0.3 mg/dL in creatinine or a 50% increase from preprocedure baseline) and AKI requiring dialysis. Bedside risk scores were created to facilitate prospective use in clinical care, along with threshold contrast doses to reduce AKI. We tested model calibration and discrimination in the validation cohort.

resultsAmong 455,806 PCI procedures, the median age was 67 years (IQR: 58.0-75.0 years), 68.8% were men, and 86.8% were White. The incidence of AKI and new dialysis was 7.2% and 0.7%, respectively. Baseline renal function and variables associated with clinical instability were the strongest predictors of AKI. The final AKI model included 13 variables, with a C-statistic of 0.798 and excellent calibration (intercept = -0.03 and slope = 0.97) in the validation cohort.

conclusionsThe updated NCDR AKI risk model further refines AKI prediction after PCI, facilitating enhanced clinical care, benchmarking, and quality improvement.

Indexed as

Acute Kidney InjuryPercutaneous Coronary InterventionAgedContrast MediaCreatinineFemaleHumansMaleRisk AssessmentRisk FactorsTreatment OutcomeContrast MediaCreatinineacute kidney injurybenchmarkingcontrast-induced nephropathycoronary angiographypercutaneous coronary interventionrisk model

Identifiers

PMID37758384
PMCPMC10795198
OpenAlexW4387009580

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.