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Record W3015695051 · doi:10.1001/jamacardio.2020.0692

Use of Temporary Mechanical Circulatory Support for Management of Cardiogenic Shock Before and After the United Network for Organ Sharing Donor Heart Allocation System Changes

2020· article· en· W3015695051 on OpenAlexaffabout
Anubodh S. Varshney, David D. Berg, Jason N. Katz, Vivian M. Baird-Zars, Erin A. Bohula, Anthony Carnicelli, Sunit‐Preet Chaudhry, Patrick R. Lawler, José Nativi-Nicolau, Shashank S. Sinha, Jeffrey J. Teuteberg, Sean van Diepen, David A. Morrow

Bibliographic record

VenueJAMA Cardiology · 2020
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsUniversity of AlbertaToronto General HospitalUniversity of Toronto
FundersNational Heart, Lung, and Blood Institute
KeywordsCardiogenic shockMedicineExtracorporeal membrane oxygenationCardiologyHeart transplantationInternal medicineEmergency medicineVentricular assist deviceUnited Network for Organ SharingCirculatory systemPercutaneousIntensive careHeart failureIntensive care medicineTransplantationMyocardial infarctionLiver transplantation

Abstract

fetched live from OpenAlex

Importance: The new United Network for Organ Sharing (UNOS) donor heart allocation system gives priority to patients supported with nondischargeable mechanical circulatory support (MCS) devices while awaiting heart transplant. Whether there has been a change in temporary MCS use in cardiac intensive care units (CICUs) since the implementation of this policy is unknown. Objectives: To examine whether the UNOS donor heart allocation system revision in October 2018 was associated with changes in temporary MCS use in CICUs and whether temporary MCS use differed between US transplant centers and US nontransplant centers and Canadian centers. Design, Setting, and Participants: In this cohort study, 14 centers from the Critical Care Cardiology Trials Network (CCCTN), a multicenter network of tertiary CICUs in North America, contributed 2-month snapshots of consecutive medical CICU admissions between September 1, 2017, and September 1, 2018 (prerevision period), and October 1, 2018, and September 1, 2019 (postrevision period). CICUs were classified as US transplant centers (n = 7) or other CICUs (US nontransplant centers or Canadian centers; n = 7). Exposure: Revision to the UNOS donor heart allocation system. Main Outcomes and Measures: Treatment with temporary MCS (intra-aortic balloon pump, microaxial intracardiac ventricular assist device, percutaneous centrifugal ventricular assist device, venoarterial extracorporeal membrane oxygenation, or surgically implanted, nondischargeable MCS device) during hospital admission. Results: A total of 384 admissions for acute, decompensated, heart failure-related cardiogenic shock (ADHF-CS) were included, among which 248 (64.6%) were to US transplant centers; 126 admissions (51%) were in the prerevision period and 122 (49%) were in the postrevision period. The mean (SD) patient age was 61.2 (14.6) years; 246 patients (64.1%) were male. The proportion of admissions with ADHF-CS managed with temporary MCS at US transplant centers significantly increased from 25.4% (32 of 126 admissions) before to 42.6% (52 of 122 admissions) after the UNOS allocation system changes (P = .004). In other CICUs, the proportion did not significantly change (24.5% [13 of 53 admissions] to 24.1% [20 of 83 admissions]; P = .95). After multivariable adjustment, patients admitted to US transplant centers in the postrevision period were more likely to receive temporary MCS compared with those admitted in the prerevision period (adjusted odds ratio, 2.19; 95% CI, 1.13-4.24; P = .02). Conclusions and Relevance: In the year after implementation of the new UNOS donor heart allocation system, temporary MCS use in patients admitted with ADHF-CS increased in US transplant centers but not in other CICUs. Whether this shift in practice will affect outcomes of patients with ADHF-CS or organ distribution should be evaluated.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.227
Teacher spread0.194 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations144
Published2020
Admission routes2
Has abstractyes

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