Evidence map›Paper›PMID 40053853›Full record

ArticleThe journal of extra-corporeal technology2025

Limiting the gamble: Risk and predictability for renal replacement therapy in patients receiving mechanical circulatory support★.

Kelsey Gore, Dean Linder, Juan José Martinez Duque, Junxi Wang, Brett Wester, Tiffany Otero, Shaun Yockelson, Adrian Alexis Ruiz, Bobby D Nossaman

Abstract read
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Article in The journal of extra-corporeal technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kelsey GoreDepartment of Cardiovascular Perfusion and Extracorporeal Technology, Ochsner Health, 1514 Jefferson Highway, New Orleans, Louisiana 70121, USA.ORCID 0009-0002-4248-3752
Dean LinderDepartment of Cardiovascular Perfusion and Extracorporeal Technology, Ochsner Health, 1514 Jefferson Highway, New Orleans, Louisiana 70121, USA.
Juan José Martinez DuqueCES University, Cl 10A #22-04, El Poblado, Medellin, Antioquia, Columbia.
Junxi WangThe University of Queensland Medical School, 288 Herston Road, Herston, QLD 4006, Australia.
Brett WesterCritical Care Section, Anesthesiology & Perioperative Medicine, Ochsner Health, 1514 Jefferson Highway, New Orleans, Louisiana 70121, USA.
Tiffany OteroCritical Care Section, Anesthesiology & Perioperative Medicine, Ochsner Health, 1514 Jefferson Highway, New Orleans, Louisiana 70121, USA.
Shaun YockelsonCritical Care Section, Anesthesiology & Perioperative Medicine, Ochsner Health, 1514 Jefferson Highway, New Orleans, Louisiana 70121, USA.ORCID 0000-0002-4828-6437
Adrian Alexis RuizCritical Care Section, Anesthesiology & Perioperative Medicine, Ochsner Health, 1514 Jefferson Highway, New Orleans, Louisiana 70121, USA.
Bobby D NossamanCritical Care Section, Anesthesiology & Perioperative Medicine, Ochsner Health, 1514 Jefferson Highway, New Orleans, Louisiana 70121, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients receiving mechanical circulatory support (MCS) frequently require renal replacement therapy (RRT). Examining risk factors for requiring RRT in patients receiving MCS may allow improved understanding of these comorbidities and enhance patient outcomes.

methodsFollowing IRB approval, patient characteristics, comorbidities, and the need for RRT were studied in 129 patients who received MCS from January 2017 to October 2023. The clinical variables underwent machine learning to examine their relationships to the outcome of interest, the need for RRT.

resultsIn this study, the incidence of RRT was 36% with a 95% confidence interval ranging from 29% to 44%. Following machine learning, patients with a history of immunologic therapy or having a pacemaker or internal cardiac defibrillator (ICD) were associated with the need for RRT (χ

conclusionThe incidence of RRT was high in this patient population. The novel associations in patients requiring MCS who have received prior immunologic therapy or have pre-existing pacemaker/ICDs suggest that an increased systemic inflammatory state exists that escalates the need for RRT. Unfractionated heparin appears to provide minimal protection from the need for RRT in patients requiring MCS. These findings suggest that other options for systemic anticoagulation in patients requiring MCS should be considered. Further investigation into how these background inflammatory conditions contribute to the need for RRT in patients requiring MCS is warranted.

Indexed as

Heart-Assist DevicesRenal Replacement TherapyAgedAged, 80 and overFemaleHumansIncidenceMachine LearningMaleMiddle AgedRetrospective StudiesRisk FactorsAnticoagulationExtracorporeal membrane oxygenation (ECMO)InflammationMechanical circulatory support (MCS)Renal replacement therapy (RRT)

Identifiers

PMID40053853
PMCPMC11888593

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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.