Impact of visceral obesity on cardiac parasympathetic activity in type 2 diabetics after coronary artery bypass graft surgery
Bibliographic record
Abstract
OBJECTIVE: The association between adiposity and heart rate variability (HRV) in patients with type 2 diabetes (T2D) after coronary artery bypass graft surgery (CABG) is not well documented. We evaluated the associations between indices of adiposity and HRV in patients with T2D with CABG and quantified the relationships of the volume of visceral (VVAT) and subcutaneous adipose tissue (VSAT) to HRV. DESIGN AND METHODS: One hundred and thirty-five men with T2D who underwent CABG participated in this study. HRV, BMI, waist circumference (WC), VVAT, and VSAT were measured. Correlations between indices of HRV and adiposity were evaluated and predictors of HRV modulation were identified. Patients were then divided into quartiles of VVAT and VSAT to further evaluate the influence of adiposity on HRV. RESULTS: Subjects were 65 ± 7 years old (mean ± SD) with a BMI of 30 ± 4 kg/m(2) and a WC of 105 ± 10 cm. BMI (r = -0.19) and WC (r = -0.25) were inversely correlated with low frequencies. VVAT correlated negatively with SD normal-to normal (SDNN) (r = -0.22, P < 0.01), indices of cardiac parasympathetic activity [rMSSD (r = -0.27), NN50 (r = -0.22), pNN50 (r = -0.26; all P < 0.05], and with low (r = -0.37) and high frequencies (r = -0.20; all P < 0.01). Patients with the lowest VVAT had the highest cardiac parasympathetic activity (P < 0.05). VVAT remained the best predictor of cardiac parasympathetic activity after adjustments for confounding parameters (P < 0.01). CONCLUSION: An increase in visceral adiposity, not BMI, seems to be associated with lower HRV in patients with T2D who had a CABG procedure.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| 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 teacher head, 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".