Impact of diabetes and glucose-lowering therapy on post-operative atrial fibrillation after cardiac surgery: secondary analysis of the SEARCH-AF CardioLink-1 randomized clinical trial
Bibliographic record
Abstract
Abstract Background Diabetes mellitus is an important risk factor for atrial fibrillation (AF) and is associated with an increased risk of complications for patients with AF. The impact of diabetes on post-operative AF after cardiac surgery is not well-defined. Purpose We sought to characterize the effect of diabetes, insulin, and oral hypoglycemic agents on the incidence of post-operative atrial fibrillation (POAF) after cardiac surgery. Accordingly, we conducted a secondary analysis of the Post-Surgical Enhanced Monitoring for Cardiac Arrhythmias and Atrial Fibrillation (SEARCH-AF) CardioLink-1 randomized trial. Methods In the SEARCH-AF trial, 336 patients with risk factors for stroke (CHA2DS2-VASc score ≥2) and no history of preoperative AF were randomized to usual care or continuous cardiac rhythm monitoring for 30 days after discharge from cardiac surgery with a wearable, patched-based device. The primary outcome was occurrence of cumulative atrial fibrillation/flutter (AF/AFL) lasting for ≥6 minutes detected by continuous monitoring or AF/AFL documented by a 12-lead electrocardiogram within 30 days of randomization. We assessed the association between diabetes and occurrence of post-operative AF. In addition, we examined the association between POAF and glucose-lowering therapy among patients with diabetes. Results Among the 176 (52%) patients with diabetes in the study cohort, 80 (45%) patients were treated with at least 1 oral hypoglycemic agent and 44 (25%) patients were treated with insulin. The incidence of POAF occurring within 30 days after discharge from surgery was similar between patients with or without diabetes (cumulative incidence: 10.8% vs. 10.0%, log-rank p=0.77). Among patients with diabetes, the incidence of POAF was highest in those who were not treated with glucose-lowering therapy (17.3%) when compared with those treated with oral hypoglycemic agents (10.0%) or insulin (4.5%) (log-rank ptrend=0.045 among the 3 groups). In an exploratory analysis, we observed a trend suggesting a lower incidence of POAF among cardiac surgical patients who were treated with SGLT-2 inhibitors (log-rank ptrend=0.084). Conclusion The incidence of POAF occurring after discharge from cardiac surgery is equally high among patients with or without diabetes. Our results suggest a potential association between specific glucose-lowering therapies and risk of POAF after cardiac surgery, meriting further investigations. Funding Acknowledgement Type of funding sources: Other. Main funding source(s): Heart and Stroke Foundation of Canada
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".