Association Between Body Mass Index and Outcomes Following Endovascular Aneurysm Repair
Bibliographic record
Abstract
Objective: We assessed the association between body mass index and outcomes for patients who had undergone endovascular aneurysm repair (EVAR) for infrarenal abdominal aortic aneurysms (AAAs).Methods: We performed a retrospective analysis of consecutive patients who had undergone EVAR for AAAs between January 1998 and December 2019.Normal weight, overweight, and obese patients were compared.The primary outcome was 30-day mortality and mortality during follow-up.The secondary outcomes were freedom from reintervention and sac regression.Continuous variables were compared using one step analysis of variance.Univariate analysis was used to compare the cohorts against normal weight as the reference via a c 2 test.All-cause mortality and freedom from reintervention were compared between cohorts using Kaplan-Meier survival estimates.Sac regression was measured using mixed model analysis of variance with pairwise comparison using the Bonferroni post hoc test.Results: The study included 515 patients with 83% men and a mean age of 776 8 years.The mean follow-up was 45 6 34 months.Underweight, normal weight, overweight, obese, and morbidly obese patients constituted 2.1%, 32.4%, 41.6%, and 21.2%, and 2.7% of the study population, respectively.More obese patients had diabetes mellitus (33.3% vs 10.6%) and dyslipidemia (82.4% vs 60.9%) compared with normal weight (Table ).No differences were found in perioperative mortality.The Kaplan-Meier survival estimates showed no differences in survival or freedom from reintervention.Normal weight (57.3 6 8.7 to 54.7 6 10.2 kg; P ¼ .009)and overweight (58.4 6 9.3 to 56.4 6 10.8 kg; P ¼ .026)patients had had significant sac regression that was not evident in obese patients (58.1 6 9.4 to 58.5 6 12.4; P ¼ .786)during follow-up (Figs 1 and 2).Conclusions: Obese patients were less likely to experience AAA sac regression during follow-up than were normal weight and overweight patients.No association was found between obesity and increased mortality or reintervention for patients undergoing EVAR for AAAs.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".