Left ventricular volume as a predictor of exercise capacity and functional independence in individuals with preserved ejection fraction
Bibliographic record
Abstract
Abstract Background Cardiorespiratory fitness (CRF) is vital for independent living and is a powerful prognostic marker. Increased left ventricular (LV) volume has been linked with high CRF in athletes, but its utility as a diagnostic marker of low CRF across the entire health-disease continuum has yet to be tested. Methods This multi-center international cohort from Australia and Belgium examined the relationship between ventricular size on resting echocardiography and CRF (peakVO2 from cardiopulmonary exercise testing [CPET] or CPET with simultaneous echocardiography) in individuals with preserved LV ejection fraction (≥50%). LV end-diastolic volume (LVEDV) and LVEDV indexed to body surface area (LVEDVi) were tested as predictors of very low CRF (CRF associated with functional disability - peakVO2 < 1100ml or <18 ml/kg/min) and compared against other candidate measures of systolic and diastolic cardiac function that have been associated with heart disease. Thresholds for absolute and indexed LVEDV which best distinguished between lower and higher CRF status were identified. Results 2876 individuals (251 healthy non-athletes, 309 elite endurance athletes, 1969 individuals with unexplained dyspnea, 347 individuals with heart failure with preserved ejection fraction) were included. For the entire cohort, LVEDV had the strongest univariate association with peakVO2 (R2 = 0.45, standardized [std] β 0.67, p< 0.001) and, remained the strongest independent predictor of peakVO2 after adjusting for age, sex and body mass index (std β 0.44, p < 0.001). The relationship between LVEDV and VO2peak differed based on health/disease status (Figure 1). LVEDV demonstrated the greatest diagnostic capability in identifying functional disability (LVEDV AUC 0.72; LVEDVi AUC 0.71, Figure 2), outperforming ejection fraction, diastolic velocities, atrial volumes and pulmonary artery pressure estimates. The probability of achieving a peak VO2 below the threshold required for functional independence was highest for smaller ventricular volumes with LVEDV and LVEDVi of 88ml and 57 ml/m2 proving the optimal cut-points, respectively. Conclusions A small LVEDV is associated with a higher probability of poor exercise capacity, failure to achieve the peak VO2 required for functional independence and is the strongest independent echocardiographic predictor of CRF across the health-disease continuum.Figure 1.Ventricular Size and CRFFigure 2.Predictors of CRF status
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".