Abstract P177: Effects of 1-year Lifestyle Modification Program on Cardiometabolic Risk Profile and Glucose Tolerance Status in Post Coronary Bypass Graft Patients
Bibliographic record
Abstract
Introduction: Patients with coronary artery diseases (CAD) are often characterized by impaired fasting glucose (IFG), impaired glucose tolerance (IGT) or type 2 diabetes (T2D), conditions which have also been related to high levels of visceral adipose tissue (VAT) and ectopic fat. Secondary prevention intervention involving physical activity should therefore also target VAT/ectopic fat to improve the cardiometabolic risk (CMR) profile. Objectives: The objective of the present pilot study was to compare the response of CMR variables in recent post coronary bypass graft patients with either normal glucose tolerance (NGT), IFG/IGT, and T2D to a 1-year intervention targeting the improvement of lifestyle habits. Methods: Anthropometric measurements, assessment of lipid profile, magnetic resonance imaging of the heart and the abdomen, an oral glucose tolerance test and a maximal exercise treadmill test were performed before and after the intervention (n=44). Results: No significant difference was found in baseline characteristics of the three subgroups, except that patients with IFG/IGT and T2D had significant higher levels of VAT than NGT patients. In response to the lifestyle intervention, patients with IFG/IGT and T2D improved their CMR profile with decreases in waist circumference (Δ=-5.1cm, p<0.01), abdominal visceral (Δ=-41.1ml/5mm, p<0.01) and subcutaneous adipose tissue volumes (Δ=-32.7ml/5mm, p<0.01) as well as in their intrathoracic epicardial (Δ=-3.5ml/5mm, p<0.0001) and pericardial (Δ=-7.7ml/5mm p<0.0001) adipose tissue volumes. They also improved their lipid/lipoprotein profile with decreases in apolipoproteins B (Δ=-0.02mmol/l, p<0.05), triglycerides (Δ=-0.17mmol/l, p<0.01) and total cholesterol/HDL ratio (Δ=-0.49mmol/l, p<0.0001), while HDL (Δ=+0.20mmol/l, p<0.01) and apolipoproteins A1 (Δ=+0.12mmol/l, p<0.01) increased. Cardiorespiratory fitness (CRF) was also improved as reflected by an increase in VO2peak (Δ=+5.06 mlO2/kg/min, p<0.0001) and by a reduced heart rate assessed at a standardized workload (1.7 mph, 5% slope) (Δ=-10bpm, p<0.0001). Patients with IFG/IG also improved significantly their glucose and insulin homeostasis with decreases in fasting glucose (Δ=-0.12mmol/l, p<0.05) and insulin levels (Δ=-15.53mmol/l, p<0.05), 2h-glucose (Δ=-1.50mmol/l, p<0.01) and insulin levels (Δ=-40.41mmol/l, p<0.05) and glucose area under the curve (Δ=-0.17 ρmolx10-3, p<0.01). Nine of seventeen patients with IFG/IGT normalized their glucose tolerance and two of nine patients with T2D reversed to IGT/IFG. Improvements of CMR variables were significantly correlated with changes in CRF. Conclusion: Results of this pilot study suggest that increasing CRF is a relevant target to mobilize VAT/ectopic fat in order to improve the CMR profile including plasma glucose homeostasis in CAD patients, irrespective of their glucose tolerance 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".