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Record W4392784030 · doi:10.1186/s44156-024-00040-5

Allometric scaling for left ventricular mass and geometry in male and female athletes of mixed and endurance sports

2024· article· en· W4392784030 on OpenAlexaff
David Oxborough, Danielle McDerment, Keith George, Christopher Johnson, B Morrison, Gemma Parry‐Williams, Efstathios Papatheodorou, Sanjay Sharma, Robert Cooper

Bibliographic record

VenueEcho Research and Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsTrinity Western UniversityWestern University
Fundersnot available
KeywordsAllometryAthletesBody surface areaMedicineBody mass indexPopulationDemographyInternal medicineCardiologyGeometryMathematicsPhysical therapyBiologyEcology

Abstract

fetched live from OpenAlex

Abstract Background The athlete’s heart (AH) defines the phenotypical changes that occur in response to chronic exercise training. Echocardiographic assessment of the AH is used to calculate LV mass (LVM) and determine chamber geometry. This is, however, interpreted using standard linear (ratiometric) scaling to body surface area (BSA) whereas allometric scaling is now widely recommended. This study (1) determined whether ratiometric scaling of LVM to BSA (LVMi ratio ) provides a size-independent index in young and veteran athletes of mixed and endurance sports (MES), and (2) calculated size-independent beta exponents for allometrically derived (LVMi allo ) to BSA and (3) describes the physiological range of LVMi allo and the classifications of LV geometry. Methods 1373 MES athletes consisting of young (< 35 years old) (males n = 699 and females n = 127) and veteran (> 35 years old) (males n = 327 and females n = 220) were included in the study. LVMi ratio was calculated as per standard scaling and sex-specific LVMi allo were derived from the population. Cut-offs were defined and geometry was classified according to the new exponents and relative wall thickness. Results LVMi ratio did not produce a size independent index. When tested across the age range the following indexes LVMi/BSA 0.7663 and LVMi/BSA 0.52 , for males and females respectively, were size independent (r = 0.012; P = 0.7 and r = 0.003; P = 0.920). Physiological cut-offs for LVMi allo were 135 g/(m 2 ) 0.7663 in male athletes and 121 g/(m 2 ) 0.52 in female athletes. Concentric remodelling / hypertrophy was present in 3% and 0% of young male and female athletes and 24% and 17% of veteran male and female athletes, respectively. Eccentric hypertrophy was observed in 8% and 6% of young male and female athletes and 9% and 11% of veteran male and female athletes, respectively. Conclusion In a large cohort of young and veteran male and female MES athletes, LVMi ratio to BSA is not size independent. Sex-specific LVMi allo to BSA with LVMi/BSA 0.77 and LVMi/BSA 0.52 for male and female athletes respectively can be applied across the age-range. Population-based cut-offs of LVMi allo provided a physiological range demonstrating a predominance for normal geometry in all athlete groups with a greater percentage of concentric remodelling/hypertrophy occurring in veteran male and female athletes.

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)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.042
GPT teacher head0.380
Teacher spread0.338 · 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

Citations8
Published2024
Admission routes1
Has abstractyes

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