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Record W4393098987 · doi:10.1016/j.jscai.2024.101359

Feasibility and Outcomes of a Cardiovascular Medicine Inclusive Extracorporeal Membrane Oxygenation (ECMO) Service

2024· article· en· W4393098987 on OpenAlexfundno aff
Raef Fadel, Mohamed Ramzi Almajed, Austin Parsons, Jasmeet Kalsi, Muthanna Shadid, Mohamed Maki, Mohammad Alqarqaz, Herbert D. Aronow, Jennifer Cowger, Brittany Fuller, Tiberio Frisoli, Gillian Grafton, Henry Kim, Crystal Jones, Gerald Koenig, Akshay Khandelwal, Hassan Nemeh, Brian O’Neill, Daizo Tanaka, Celeste T. Williams, Pedro Villablanca, William W. O’Neill, Khaldoon Alaswad, Mir B. Basir

Bibliographic record

VenueJournal of the Society for Cardiovascular Angiography & Interventions · 2024
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsnot available
FundersAbiomedMedicureBoston Scientific CorporationEdwards Lifesciences
KeywordsExtracorporeal membrane oxygenationMedicineIntensive care medicineService (business)CardiologyMedical emergencyInternal medicineBusiness

Abstract

fetched live from OpenAlex

BackgroundThere has been a significant increase in the utilization of venoarterial extracorporeal membrane oxygenation (VA-ECMO) in recent years. Cardiothoracic surgery teams have historically led VA-ECMO care teams, with little data available on alternative care models.MethodsWe performed a retrospective review of a cardiovascular medicine inclusive VA-ECMO service, analyzing patients treated with peripheral VA-ECMO at a large quaternary care center from 2018 to 2022. The primary outcome was death while on VA-ECMO or within 24 hours of decannulation. Univariate and multivariate analyses were used to identify predictors of the primary outcome.ResultsTwo hundred forty-four patients were included in the analysis (median age 61 years; 28.7% female), of whom 91.8% were cannulated by interventional cardiologists, and 84.4% were managed by a cardiology service comprised of interventional cardiologists, cardiac intensivists or advanced heart failure cardiologists. Indications for VA-ECMO included acute myocardial infarction (34.8%), decompensated heart failure (30.3%), and refractory cardiac arrest (10.2%). VA-ECMO was utilized during cardiopulmonary resuscitation in 26.6% of cases, 48% of which were peri-procedural arrest. Of the patients, 46% survived to decannulation, the majority of whom were decannulated percutaneously in the cardiac catheterization laboratory. There was no difference in survival following cannulation by a cardiac surgeon vs interventional cardiologist (50% vs 45%; P = .90). Complications included arterial injury (3.7%), compartment syndrome (4.1%), cannulation site infection (1.2%), stroke (14.8%), acute kidney injury (52.5%), access site bleeding (16%) and need for blood transfusion (83.2%). Elevated baseline lactate (odds ratio [OR], 1.13 per unit increase) and sequential organ failure assessment score (OR, 1.27 per unit increase) were independently associated with the primary outcome. Conversely, an elevated baseline survival after VA ECMO score (OR, 0.92 per unit increase) and 8-hour serum lactate clearance (OR, 0.98 per % increase) were independently associated with survival.ConclusionsThe use of a cardiovascular medicine inclusive ECMO service is feasible and may be practical in select centers as indications for VA-ECMO expansion.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.905
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.145
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.274
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

Explore more

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