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Malnutrition and Mortality in Frail and Non-Frail Older Adults Undergoing Aortic Valve Replacement

2018· article· en· W2810227850 on OpenAlexafffund
Michael Goldfarb, Sandra Lauck, John G. Webb, Anita Asgar, Louis P. Perrault, Nicolò Piazza, Giuseppe Martucci, Kevin Lachapelle, Nicolas Noiseux, Dae Hyun Kim, Jeffrey J. Popma, Thierry Lefèvre, Marino Labinaz, André Lamy, Mark D. Peterson, Rakesh C. Arora, José A. Morais, Jean‐François Morin, Lawrence Rudski, Jonathan Afilalo

Bibliographic record

VenueCirculation · 2018
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsSt. Michael's HospitalPopulation Health Research InstituteCentre Hospitalier de l’Université de MontréalMcGill University Health CentreUniversity of ManitobaMontreal Heart InstituteSt. Paul's HospitalUniversity of OttawaJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineMalnutritionAortic valve replacementProspective cohort studyConfoundingBody mass indexCohortCohort studyRisk of mortalitySurgeryInternal medicinePhysical therapyStenosis

Abstract

fetched live from OpenAlex

BACKGROUND: Older adults undergoing aortic valve replacement (AVR) are at risk for malnutrition. The association between preprocedural nutritional status and midterm mortality has yet to be determined. METHODS: The FRAILTY-AVR (Frailty in Aortic Valve Replacement) prospective multicenter cohort study was conducted between 2012 and 2017 in 14 centers in 3 countries. Patients ≥70 years of age who underwent transcatheter or surgical AVR were eligible. The Mini Nutritional Assessment-Short Form was assessed by trained observers preprocedure, with scores ≤7 of 14 considered malnourished and 8 to 11 of 14 considered at risk for malnutrition. The Short Performance Physical Battery was simultaneously assessed to measure physical frailty, with scores ≤5 of 12 considered severely frail and 6 to 8 of 12 considered mildly frail. The primary outcome was 1-year all-cause mortality, and the secondary outcome was 30-day composite mortality or major morbidity. Multivariable regression models were used to adjust for potential confounders. RESULTS: , and a mean Society of Thoracic Surgeons-Predicted Risk of Mortality of 5.1%. Overall, 8.7% of patients were classified as malnourished and 32.8% were at risk for malnutrition. Mini Nutritional Assessment-Short Form scores were modestly correlated with Short Performance Physical Battery scores (Spearman R=0.31, P<0.001). There were 126 deaths in the transcatheter AVR group (19.1 per 100 patient-years) and 30 deaths in the surgical AVR group (7.5 per 100 patient-years). Malnourished patients had a nearly 3-fold higher crude risk of 1-year mortality compared with those with normal nutritional status (28% versus 10%, P<0.001). After adjustment for frailty, Society of Thoracic Surgeons-Predicted Risk of Mortality, and procedure type, preprocedural nutritional status was a significant predictor of 1-year mortality (odds ratio, 1.08 per Mini Nutritional Assessment-Short Form point; 95% CI, 1.01-1.16) and of the 30-day composite safety end point (odds ratio, 1.06 per Mini Nutritional Assessment-Short Form point; 95% CI, 1.001-1.12). CONCLUSIONS: Preprocedural nutritional status is associated with mortality in older adults undergoing AVR. Clinical trials are needed to determine whether pre- and postprocedural nutritional interventions can improve clinical outcomes in these vulnerable 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)0.000
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 score0.007
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.032
GPT teacher head0.332
Teacher spread0.300 · 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".

Quick stats

Citations117
Published2018
Admission routes2
Has abstractyes

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