Evidence map›Paper›PMID 36475471›Full record

ArticleCirculation. Cardiovascular quality and outcomes2023

Implementation of an Electronic Health Records-Based Safe Contrast Limit for Preventing Contrast-Associated Acute Kidney Injury After Percutaneous Coronary Intervention.

Neal Yuan, Justin Zhang, Rakan Khaki, Derek Leong, Chandrashekhar Bhoopalam, Steven W Tabak, Yaron Elad, Joshua M Pevnick, Susan Cheng, Joseph E Ebinger

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Neal YuanSchool of Medicine, University of California, San Francisco (N.Y.).ORCID 0000-0001-5782-7437
Justin ZhangSchool of Medicine, University of California, Los Angeles (J.Z.).ORCID 0000-0002-9612-1792
Rakan KhakiBiome Analytics, San Francisco, CA (R.K.).
Derek LeongSmidt Heart Institute (D.L., C.B., S.T., Y.E., S.C., J.E.), Cedars-Sinai Medical Center, Los Angeles, CA.
Chandrashekhar BhoopalamSmidt Heart Institute (D.L., C.B., S.T., Y.E., S.C., J.E.), Cedars-Sinai Medical Center, Los Angeles, CA.
Steven W TabakSmidt Heart Institute (D.L., C.B., S.T., Y.E., S.C., J.E.), Cedars-Sinai Medical Center, Los Angeles, CA.
Yaron EladSmidt Heart Institute (D.L., C.B., S.T., Y.E., S.C., J.E.), Cedars-Sinai Medical Center, Los Angeles, CA.
Joshua M PevnickDivision of Informatics, Department of Biomedical Sciences (C.B., Y.E., J.M.P.), Cedars-Sinai Medical Center, Los Angeles, CA.
Susan ChengSmidt Heart Institute (D.L., C.B., S.T., Y.E., S.C., J.E.), Cedars-Sinai Medical Center, Los Angeles, CA.ORCID 0000-0002-4977-036X
Joseph E EbingerSmidt Heart Institute (D.L., C.B., S.T., Y.E., S.C., J.E.), Cedars-Sinai Medical Center, Los Angeles, CA.ORCID 0000-0002-0587-1572
Cedars-Sinai Medical Center · USEP Analytics (United States) · USSan Francisco VA Medical Center · USUniversity of California, Los Angeles · US

Funding

Training in Advanced Heart Disease ResearchT32HL116273 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI Joshua I Goldhaber, EDUARDO MARBAN · 2013 to 2026
$5.6M
NHLBI NIH HHS T32 HL116273
6 · The paper itself

Abstract

backgroundContrast-associated acute kidney injury (CA-AKI) after percutaneous coronary intervention is associated with increased mortality. We assessed the effectiveness of an electronic health records safe contrast limit tool in predicting CA-AKI risk and reducing contrast use and CA-AKI.

methodsWe created an alert displaying the safe contrast limit to cardiac catheterization laboratory staff prior to percutaneous coronary intervention. The alert used risk factors automatically extracted from the electronic health records. We included procedures from June 1, 2020 to October 1, 2021; the intervention went live February 10, 2021. Using difference-in-differences analysis, we evaluated changes in contrast volume and CA-AKI rates after contrast limit tool implementation compared to control hospitals. Cardiologists were surveyed prior to and 9 months after alert implementation on beliefs, practice patterns, and safe contrast estimates for example patients.

resultsAt the one intervention site, there were 508 percutaneous coronary interventions before and 531 after tool deployment. At 15 control sites, there were 3550 and 3979 percutaneous coronary interventions, respectively. The contrast limit predicted CA-AKI with an accuracy of 64.1%, negative predictive value of 93.3%, and positive predictive value of 18.7%. After implementation, in high/modifiable risk patients (defined as having a calculated contrast limit <500ml) there was a small but significant -4.60 mL/month (95% CI, -8.24 to -1.00) change in average contrast use but no change in CA-AKI rates (odds ratio, 0.96 [95% CI, 0.84-1.10]). Low-risk patients had no change in contrast use (-0.50 mL/month [95% CI, -7.49 to 6.49]) or CA-AKI (odds ratio, 1.24 [95% CI, 0.79-1.93]). In assessing CA-AKI risk, clinicians heavily weighted age and diabetes but often did not consider anemia, cardiogenic shock, and heart failure.

conclusionsClinicians often used a simplified assessment of CA-AKI risk that did not include important risk factors, leading to risk estimations inconsistent with established models. Despite clinician skepticism, an electronic health records-based contrast limit tool more accurately predicted CA-AKI risk and was associated with a small decrease in contrast use during percutaneous coronary intervention but no change in CA-AKI rates.

Indexed as

Acute Kidney InjuryPercutaneous Coronary InterventionContrast MediaElectronic Health RecordsHumansRisk FactorsContrast Mediaacute kidney injuryelectronic health recordsheart failurepercutaneous coronary interventionrisk factors

Identifiers

PMID36475471
PMCPMC9858238
OpenAlexW4311725078

What OpenQuestion holds

Textmetadata
LicenceTDM
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.