Perioperative Outcomes in Patients with and Without Chronic Preoperative Therapeutic Anticoagulation Undergoing Metabolic Surgery at an Academic Medical Center
Bibliographic record
Abstract
Background/Objectives: Patients on chronic anticoagulation undergoing metabolic surgery represent an increased risk of complications, including both bleeding and thrombotic events, such as deep vein thrombosis (DVT) and pulmonary embolism (PE). The optimal perioperative management of patients who are receiving chronic anticoagulation therapy (CAT) is complex. In the colorectal surgery literature, patients on CAT have a 10% rate of peri-procedural bleeding and a 3% rate of thromboembolism. The aim of this study was to evaluate and compare the safety and postoperative outcomes between patients with and without CAT undergoing Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG) at a tertiary referral center in the United Arab Emirates (UAE). Methods: All patients who underwent primary bariatric surgery between September 2015 and July 2019 were retrospectively reviewed. The first group included patients with CAT, and the second group included patients without CAT. Demographics, perioperative outcomes, and postoperative results were examined. Results: Our study included 542 patients, 22 (4%) with CAT and 520 (96%) without CAT. Mean age was 46.3 ± 10.5 years in the CAT group and 36.0 ± 11.7 years in the non-CAT group (p < 0.001); median BMI was 41.8 (range 33.1–61.3) and 42.7 (range 30.1–78.4) kg/m2, respectively (p = 0.52). The CAT group had significantly higher rates of hypertension (77.2% vs. 32.5%, p < 0.001), obstructive sleep apnea (81.8% vs. 31.5%, p < 0.001), and coronary artery disease (31.8% vs. 2.8%, p < 0.001). In the CAT group, 8/22 (36.4%) patients underwent Roux-en-Y gastric bypass and 14/22 (63.6%) sleeve gastrectomy, compared to 228/520 (43.8%) and 292/520 (56.2%), respectively, in the non-CAT group (p = 0.51). There were no statistically significant differences in postoperative emergency department (ED) visits (18.1% vs. 24.2%, p = 0.51), early major complications (4.5% vs. 3.4%, p = 0.54), readmission rates within 30 days (4.5% vs. 3.6%, p = 0.56), or late complications (4.5% vs. 4.2%, p = 0.60). Mean length of stay was significantly longer in the CAT group (4.6 vs. 2.6 days, p < 0.001). The mean follow-up was 10 ± 7.3 months for the CAT cohort and 11 ± 9.7 months for the non-CAT cohort (p = 0.22). Weight loss outcomes at 12 months were comparable, with a percent total body weight loss (TBWL) of 27.0 ± 7.3% in the CAT group and 28.9 ± 8.3% in the non-CAT group (p = 0.29). There were no deaths in either group. Conclusions: In this series, at a tertiary referral center in the UAE, metabolic surgery is safe for CAT patients. Multidisciplinary preoperative preparation might be warranted to avert potential complications.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".