Evidence map›Paper›PMID 40298483›Full record

ArticleCritical care medicine2025

Risk Analytics Clinical Decision Support Decreases Duration of Vasoactive Infusions Following Pediatric Cardiac Surgery: A Multicenter Before and After Clinical Trial.

Avihu Z Gazit, Craig Futterman, Dimitar Baronov, Adam Tomczak, Michael P Goldsmith, Victor B Talisa, Vinay M Nadkarni, Peter C Laussen, Joshua W Salvin

Abstract readMulticenter Study
In one paragraph

Article in Critical care medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Avihu Z GazitDepartment of Critical Care Medicine, Division of Pediatric Cardiac Critical Care Medicine, University of Pittsburgh, Children's Hospital Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-6211-2636
Craig FuttermanDivision of Cardiac Critical Care Medicine, George Washington University, Children's National Hospital, Washington, DC.
Dimitar BaronovEtiometry, Inc, Boston, MA.
Adam TomczakEtiometry, Inc, Boston, MA.
Michael P GoldsmithDepartment of Anesthesiology and Critical Care Medicine, Division of Cardiac Critical Care Medicine, University of Pennsylvania Perelman School of Medicine, Children's Hospital of Philadelphia, Philadelphia, PA.
Victor B TalisaDepartment of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.
Vinay M NadkarniDepartment of Anesthesiology, Critical Care, and Pediatrics, University of Pennsylvania Perelman School of Medicine, Children's Hospital of Philadelphia, Philadelphia, PA.
Peter C LaussenHarvard Medical School, Boston Children's Hospital, Boston, MA.
Joshua W SalvinDepartment of Cardiology, Division of Cardiovascular Critical Care Medicine, Harvard Medical School, Boston Children's Hospital, Boston, MA.

Funding

Risk-based Patient Monitoring for Pediatric Cardiac PatientsR44HL117340 · NHLBI · ETIOMETRY, LLC · PI BARONOV, DIMITAR VALERIEV, SALVIN, JOSHUA W. · 2015 to 2020
$5.0M
NHLBI NIH HHS R44 HL117340
6 · The paper itself

Abstract

objectivesOur primary objective was to quantify the effect of a clinical decision support system (CDSS) informed by inadequate delivery of oxygen index (ID o2 ), an algorithm that estimates the probability of inadequate oxygen delivery on inotropes and vasoactive infusions (IVAI) postoperatively.

designMulticenter before-and-after study conducted between June 01, 2020, and December 31, 2022.

settingThree pediatric cardiac ICUs (CICUs) at tertiary academic children's hospitals. PATIENTS: Infants older than 36 weeks estimated gestational age and 2 kg following cardiac surgery with cardiopulmonary bypass, treated with IVAI greater than or equal to 6 hours.

interventionsClinicians committed to consider data from a CDSS informed by 6 hours rolling ID o2 average in their plan to wean IVAI postoperatively. Within the system, documentation of decisions incorporating these data prompted patient inclusion in the intervention arm. MEASUREMENTS AND MAIN

resultsThe primary outcome measure was IVAI duration. Secondary outcomes were CICU length of stay (LOS), rate of cardiac arrest (CA), and rate of IVAI weaning failure. Negative binomial and logistic regression models were used to assess differences between intervention and control groups. Age, sex, Society of Thoracic Surgeons-European association for Cardio-Thoracic Surgery (STAT) category, site, admit time, single-ventricle diagnosis, Vasoactive-Inotropic Score, and trial group were tested as input covariates. Three hundred forty-three and 432 patients were enrolled in the intervention and control groups, respectively. The intervention group included a higher proportion of STAT 4 patients and a lower proportion of STAT 1 patients (81 vs. 62; p < 0.01 and 43 vs. 108; p < 0.01, respectively). A risk-adjusted negative binomial regression model showed 29% shorter vasoactive infusion duration in the intervention group (95% CI, 14-42%; p < 0.01). There were no significant trends observed in CICU LOS, or occurrence rate of CA or weaning failure.

conclusionsA CDSS informed by ID o2 significantly decreased vasoactive infusions duration. There was no discernible change in ICU LOS, CA rate, or weaning failure rate.

Indexed as

Cardiac Surgical ProceduresCardiotonic AgentsDecision Support Systems, ClinicalVasoconstrictor AgentsFemaleHumansInfantInfant, NewbornIntensive Care Units, PediatricLength of StayMaleTime FactorsCardiotonic AgentsVasoconstrictor Agentscardiac intensive care unitcardiac surgeryclinical decision support systeminadequate delivery of oxygen indexinotropes and vasoactive medicationspediatrics

Identifiers

PMID40298483
PMCPMC12331254

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Registered trials

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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.