Predictors and outcomes of surgical delay in open abdominal aortic aneurysm repair
Bibliographic record
Abstract
OBJECTIVE: The objectives of this study were to characterize surgical waiting times experienced by patients undergoing elective open abdominal aortic aneurysm (AAA) repair, as well as to identify predictors and adverse outcomes associated with surgical delay. METHODS: A retrospective chart review of patients undergoing open AAA repair between 2015 and 2025 was carried out in two hospital centers. Patients were excluded from the study if they were not scheduled to undergo an elective operation. Demographic, preoperative, and postoperative data were collected, including the time course between the preoperative abdominal computed tomography (CT) scan, procedure consent, preoperative clinic evaluation, and surgery date. Surgical delay was defined as a wait time of >8 weeks and assessed from both the preoperative CT scan and consent date to the day of surgery. Linear and logistic regression analyses were used to identify predictors and adverse postoperative outcomes of surgical delay. RESULTS: Of 468 charts reviewed, 298 patients were included in the study. The median time from the preoperative CT scan to surgery was 92 days (interquartile range [IQR], 59-142; n = 247), and the median time from the date of consent to surgery was 61 days (IQR, 40-103; n = 296). Patients waited a median of 21 days (IQR, 10-33 days; n = 289) after seeing the vascular surgeon to be assessed by preoperative medicine. Multivariable logistic regression showed that predictors of surgical delay from the time of consent to surgery were cerebrovascular disease (odds ratio, 5.209; 95% confidence interval [CI], 1.77-19.26; P = .006), juxtarenal aneurysms (odds ratio, 2.402; 95% CI, 1.36-4.35; P = .003) and smaller AAA diameter (odds ratio, 0.915; 95% CI, 0.88-0.95; P = 7.1e-6). Only smaller aneurysm diameter was a significant predictor of delay (odds ratio, 0.915; 95% CI, 0.88-0.95; P = 9.22e-6) from the time of the CT scan to surgery. Prolonged time to surgery was associated with a small but significant increase in the comprehensive complication index in both univariable (β = 0.426; 95% CI, 0.17-0.69; P = .001) and multivariable linear regression (β= 0.341; 95% CI, 0.10-0.58; P = .006). The incidence of interval ruptures (n = 1 [0.7%]) and symptomatic AAAs (n = 5 [1.7%]) in the waiting period were low. CONCLUSIONS: In this review, patients with prolonged surgical delay well beyond 8 weeks are at risk of experiencing a higher postoperative complication burden and should be identified preemptively to ensure timely intervention.
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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 | 0.010 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".