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Abstract P314: Response of the Cardiometabolic Risk Profile to Coronary Artery Bypass Surgery Followed by a 1-year Lifestyle Modification Program: A Pilot Study

2012· article· en· W2272584973 on OpenAlexaff
Valérie Lévesque, Paul Poirier, André Marette, Patrick Mathieu, Jean‐Pierre Després, Éric Larose

Bibliographic record

VenueCirculation · 2012
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineBody mass indexWaistLipid profileInternal medicineCoronary artery diseaseCardiologyAnthropometryAdipose tissueSurgeryCholesterol

Abstract

fetched live from OpenAlex

Introduction: A coronary artery bypass graft (CABG) surgery induces an important physiological stress which could impact on cardiometabolic risk (CMR) variables. Furthermore, lifestyle modification programs are effective in secondary prevention. Objective: The present pilot study explored the response of CMR variables to a CABG surgery followed by a 1-year intervention targeting the improvement of lifestyle habits (nutrition/physical activity) in patients with established coronary artery disease (CAD). Methods: Anthropometric measurements, assessment of lipid profile and magnetic resonance imaging were performed before and after CABG surgery (n=32) and 1 year after the lifestyle modification program (n=26). An oral glucose tolerance test (OGTT) and a maximal treadmill test (modified Bruce) were also performed after surgery and at the end of the intervention program. Results: Six weeks after surgery, but before initiation of the lifestyle modification program, patients significantly reduced their body mass index (BMI) (Δ=−1.0 kg/m 2 , p<0.0001), waist circumference (Δ=−3.4 cm, p<0.0001), fat mass (Δ=−2.7 kg, p<0.0001), visceral (Δ=−25.5 cm 3 , p=0.007) and total abdominal adipose tissue volumes (Δ=−27.4 cm 3 , p=0.008). They also significantly decreased their LDL-C (Δ=−0.7 mmol/L, p=0.0003) and total cholesterol (Δ=−0.7 mmol/L, p<0.0001), as well as their total cholesterol/HDL-C ratio (Δ=−0.8, p=0.009). In response to the lifestyle modification program, subjects further improved their CMR profile with additional decreases in their BMI (Δ=−0.9 kg/m 2 , p=0.02) and waist circumference (Δ=−4.3 cm, p=0.002) as well as visceral (Δ=−36.2 cm 3 , p=0.03), subcutaneous (Δ=−29.1 cm 3 , p=0.005) and total abdominal adipose tissue volumes (Δ=−61.1 cm 3 , p=0.01). They also significantly reduced glucose area under the curve (Δ=−128.6 ρmol/L, p=0.0005) measured during the OGTT, TG/HDL-C ratio (Δ=−0.47, p=0.0006), triglycerides (Δ=−0.12 mmol/L, p=0.03), total cholesterol/HDL-C ratio (Δ=−0.34, p=0.003) and increased HDL-C levels (Δ=+0.2 mmol/L, p=0.0002). Cardiorespiratory fitness (CRF) was also improved significantly as reflected by an increase in VO 2 max (Δ=+4.0 mlO 2 /kg/min, p<0.0001) and by a reduced heart rate assessed at a standardized workload (3.5 mph, 2% slope) (Δ=−9 bpm, p<0.0001). All changes in cardiometabolic risk variables were observed despite a reduction in the use of cardiometabolic drugs in some patients. A multiple regression analysis showed that improvement in CRF largely explained (r 2 =0.61, p=0.0003) the improvement in 2-hours plasma glucose (OGTT) in response to the lifestyle modification program. Conclusion: Results of this pilot study suggest that the CMR profile of high risk patients with CAD is improved by the CABG surgery itself. In addition, a 1-year lifestyle modification program generates further cardiometabolic benefits.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.032
GPT teacher head0.284
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), 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".

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Citations2
Published2012
Admission routes1
Has abstractyes

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