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Abstract 374: Characteristics and Clinical Outcomes of Patients with Long-term Left Ventricular Assist Devices in Quebec Compared with the INTERMACS Registry

2015· article· en· W2219253416 on OpenAlexaffabout
Laurie Lambert, G. Sas, L. Azzi, Anique Ducharme, Michel Carrier, Renzo Cecere, Éric Charbonneau, C. Sanscartier, Jean Morin, Peter Bogaty

Bibliographic record

VenueCirculation Cardiovascular Quality and Outcomes · 2015
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsRoyal Victoria HospitalMontreal Heart InstituteInstitut universitaire de cardiologie et de pneumologie de QuébecInstitut National d'Excellence en Santé et en Services Sociaux
Fundersnot available
KeywordsMedicineInterquartile rangeVentricular assist deviceCardiogenic shockInotropeInternal medicineRetrospective cohort studyChristian ministryDestination therapyCardiologyHeart failureEmergency medicineMyocardial infarction

Abstract

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Background: After a review of the evidence, our publicly funded cardiology evaluation unit recommended to the Quebec Ministry of Health that use of long-term left ventricular assist devices (LVAD) should be carefully monitored and not limited to bridge-to-transplant patients. Herein, we describe use and clinical outcomes of LVAD in Quebec during the latest 5-year period in comparison with results reported by the INTERMACS registry. Methods: A retrospective review of all pertinent hospital data sources of all LVAD-implanted patients in 2010-14 was performed with follow-up of major clinical outcomes to January 2015. Results: In Quebec’s 3 LVAD centers, 83 LVADs were implanted during 2010-14. Annual center patient volume varied from 0 to 24. Patients were mostly male (80%). Median age was 56 years (interquartile range, IQR: 45-62). The proportion of patients ≥ 60 years was 35% versus 49.5% in INTERMACS. For INTERMACS profiles that include inotrope dependence, the proportions of Quebec patients were very similar to INTERMACS for profile 1 (critical cardiogenic shock; 13% vs 15%, respectively) and profile 2 (progressive decline; 36% vs 36%) but higher for profile 3 (stable but inotrope dependent; 40% vs 30%). The proportion of patients who were not on the transplant list at the time of implantation was lower in Quebec (53%; 44/83) than in INTERMACS (78%) and destination therapy was much less frequent (11% [9/83] vs 43%). For patients implanted during 2010-13 (n=65), 1-year major clinical outcomes in Québec were very similar to INTERMACS (2006-2013): deaths, 17% vs 18%; cardiac transplantation, 22% vs 20%; LVAD removal because of myocardial recovery, 3% vs 1%; alive with LVAD support, 58% vs 61%. Clinical results at 1 year were similar for Quebec patients on and not on the transplant list at the time of implant (p=0.11). Two-thirds of the cohort had 2-year follow-up: 21% (12/56) died; 43% (24/56) had transplantation; 5% recovered and had LVAD removal; and 30% (17/56) were alive with LVAD. For patients implanted during 2014 (n=18), the median duration of follow-up was about 5 months and 5.6% had died on LVAD support. Among all Quebec patients (2010-2014), most recent follow-up indicates that 26% (9/32) of patients transplanted after LVAD support have died. Conclusions: In comparison with INTERMACS, Quebec LVAD patients were younger, more likely to be inotrope-dependent and less likely to be implanted as destination therapy. Despite relatively low center volumes, clinical outcomes for Quebec were very similar to INTERMACS. Results according to transplant list status at time of implant support the recommendation that transplant eligibility should not be an essential criterion for selection of patients for LVAD. Continued independent monitoring of LVAD patients, even after explant or transplant, will be important to optimize the value and quality of care of end-stage heart failure patients.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.003
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.047
GPT teacher head0.294
Teacher spread0.247 · 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.

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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Citations0
Published2015
Admission routes2
Has abstractyes

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