Abstract 11656: Relation Between Method of Indexation for Normal Chamber Dimensions and Association With Functional Measures: The Multi-Ethnic Study of Atherosclerosis
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".