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Abstract 11656: Relation Between Method of Indexation for Normal Chamber Dimensions and Association With Functional Measures: The Multi-Ethnic Study of Atherosclerosis

2023· article· en· W4389953562 on OpenAlexaff
Jordan B. Strom, Monica Mukherjee, Lauren Beussink‐Nelson, Benjamin H. Freed, Julius M. Gardin, Jonathan Afilalo, Sanjiv J. Shah

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicineBody surface areaInternal medicineCardiologyCohortBody mass indexCorrelationDemographyMathematics

Abstract

fetched live from OpenAlex

Background: Normalization of echocardiographic chamber measurements for body surface area (BSA) may result in biased estimation of dimensions in obese or sarcopenic individuals. While alternative scaling systems that circumvent this issue have been proposed, there remains a dearth of information on normal values indexed to scaling parameters other than BSA and whether they vary by sex or race/ethnicity. Methods: Of 3032 individuals who underwent echocardiography at Exam 6 in the Multi-Ethnic Study of Atherosclerosis (MESA), we identified 608 without apparent cardiopulmonary or cardiometabolic disease (69.5 ± 7.0 years, 46.2% male, 47.5% White). Normal values for left and right heart variables across a variety of ratiometric (BSA, body mass index [BMI], height) and allometric (height 1.6 , and height 2.7 ) scaling systems were defined as the mean value ± 1.96 standard deviations and compared across sex and race/ethnicity categories. In the broader cohort (N = 3032), we evaluated the correlation of indexed parameters and functional measures (NT-proBNP, 6-minute walk distance (6MWD), and Kansas City Cardiomyopathy Questionnaire [KCCQ]). Results: Height 2.7 had the best overall mean correlation with functional measures (mean correlation -0.12 ± 0.04 with KCCQ; mean correlation -0.15 ± 0.08 with 6MWD) and was superior to BSA for KCCQ and 6MWD (both p < 0.001) but not NT-proBNP (both p > 0.05). Mean correlations for allometric scaling were greater than ratiometric scaling for KCCQ and 6MWD (both p < 0.001) but not NT-proBNP (both p > 0.05). For 6MWD, mean correlations for allometric scaling (p = 0.001) but not ratiometric scaling (p = 0.8) were more negative (suggestive of impaired function) than unindexed measures. Conclusions: In this a multi-ethnic cohort of community-dwelling older adults free from apparent cardiopulmonary or cardiometabolic diseases, we provide normative indexed values for commonly measured echocardiographic parameters across a variety of indexation methods and show that they differ across sex and race/ethnicity categories. Allometric height 2.7 correlated best with functional measures and was superior to BSA. Current chamber quantification guidelines should be updated to reflect normative data on scaled parameters.

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)0.002
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 score0.025
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.107
GPT teacher head0.340
Teacher spread0.232 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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