Correlation of Normal Diastolic Cardiac Function With VO<sub>2max</sub> in the Metabolic Syndrome
Bibliographic record
Abstract
Morbid obesity and diabetes cause diastolic dysfunction that can be detected by Doppler echocardiography. Patients with the metabolic syndrome could demonstrate early diastolic dysfunction that may influence effort tolerance. A total of 32 patients (17 men) who fulfilled >/=2 of the 5 metabolic syndrome criteria were studied. The average age of patients was 37+/-2 years. All patients were overweight/obese (mean body mass index of 34.4+/-0.7 kg/m(2)), 15 had blood pressure >130/85 mm Hg, 19 had elevated triglyceride levels (>150 mg/dL), and 17 had low high-density lipoprotein cholesterol levels (men <40 mg/dL, women <50 mg/dL). Maximal exercise was performed using Bruce treadmill protocol with standard stress echocardiography and tissue Doppler. Maximal oxygen consumption (VO(2max)) was measured using indirect calorimetry. Left ventricular filling pressure was indirectly derived from dividing pulse Doppler early mitral inflow velocity (E) by tissue Doppler early diastolic mitral annular motion (E') or E/E'. The group's average treadmill time was 8.06+/-0.28 minutes, VO(2max) was 28.6+/-1.1 mL/kg/min, and 8.2+/-0.3 metabolic equivalents. None had evidence of myocardial ischemia or systolic or diastolic dysfunction with exercise. Mean "resting" E/E' and "post-exercise" E/E' were 7.01+/-0.04 and 7.41+/-0.41, respectively. There was no significant correlation between resting E/E' and VO(2max) (r=-0.266; P=.14). The post-exercise E/E' significantly correlated with VO(2max) (r=-0.483; P=.005) and metabolic equivalents (r=-0.487; P=.005). Diastolic function is preserved in early metabolic syndrome. Even in the normal diastolic function range, exercise E/E' is inversely related to VO(2max). Further longitudinal studies are needed to determine whether they develop diastolic dysfunction and related heart failure.
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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 | 0.000 | 0.003 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".