Middle-aged men with increased waist circumference and elevated C-reactive protein level are at higher risk for postoperative atrial fibrillation following coronary artery bypass grafting surgery
Bibliographic record
Abstract
INTRODUCTION: We recently demonstrated that metabolic syndrome (MetS) is an independent risk factor for postoperative atrial fibrillation (POAF) following coronary artery bypass grafting (CABG). In the present work, we sought to determine which feature of the MetS is associated with POAF. METHODS AND RESULTS: We retrospectively analysed the association between metabolic features and the incidence of new-onset POAF in a total of 2214 male patients <65 years who underwent first isolated CABG. Anthropometric data including waist circumference (WC) and complete preoperative lipid profile were available. We also conducted a nested case-control substudy including 147 patients who developed POAF, and were matched for age with a control population. In these patients, C-reactive protein, interleukin-6 (IL-6), and thiobarbituric acid-reactive substances (TBARS; evaluating the oxidative stress) blood levels were determined. In the whole cohort, 19.6% of patients developed POAF. On univariate analysis, body mass index (BMI; P = 0.002) and WC (P = 0.001) were the only anthropometric variables significantly associated with increased incidence of POAF. In the multivariable logistic model, the only independent predictors of POAF were a WC > 102 cm [odds ratio (OR) = 1.40, P = 0.04)] and older age (OR = 1.08, P < 0.001). In the nested case-control substudy C-reactive protein, IL-6, and TBARS levels were not significantly different in patients with or without POAF. Of particular significance, patients with elevated WC > 102 cm and C-reactive protein > 1.5 mg/L or IL-6 >2.2 pg/mL were at a high risk of developing POAF (respectively, OR = 2.32, P = 0.02 and OR = 2.27, P = 0.03). CONCLUSION: Patients with increased WC combined with elevated C-reactive protein levels are at higher risk for POAF. Thus, interventions targeting inflammation related to visceral obesity might help reducing the incidence of POAF.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".