Mortality and Major Adverse Events Improve With Increased Institutional Experience for Fenestrated and Branched Endovascular Aortic Repair
Bibliographic record
Abstract
OBJECTIVE: Our objective was to evaluate temporal trends in outcomes at our institution in the context a more heterogenous application of fenestrated/branched endovascular aneurysm repair (F/BEVAR). METHODS: Patient and aneurysm characteristics, procedure details, and postoperative outcomes were collected for consecutive patients undergoing F/BEVAR between 2002 and February 2019 at our institution. Outcomes were compared between tertile 1 (T1, 2002-2010, n=47), T2 (2011-2014, n=47), and T3 (2015-February 2019, n=47). RESULTS: We included 141 patients (74.8 ± 8.1 years, 83% male) with a mean follow-up of 28.0 ± 31.6 months. Proportion of patients with hypertension (63.8% T1, 85.1% T3, p=0.009), diabetes (6.4% T1, 29.7% T3, p=0.005), chronic obstructive pulmonary disease (COPD; 27.6% T1, 42.5% T3, p=0.07), and history of stroke (4.2% T1, 17% T3, p=0.07) increased over time. Aneurysm diameter (65.3±11.4mm) and extent (56.0% juxtarenal/pararenal, 22.0% type IV, 22.0% type I-III) did not differ between groups. Custom made devices were implanted in 96.5% of cases with 3.4 ± 0.7 vessels reimplanted/case. There was a trend toward increased history of aortic surgery (p=0.008) and less custom made devices (p=0.007) in T3.Total procedure time (383.5±119.2 minutes T1, 316.2±88.4 T3, p=0.02), contrast volume (222.8±109.1 mL T1, 139.2±62.7ml T3, p<0.0001), and estimated blood loss (601.3±458.1 mL T1, 413.3±317.7 mL T3, p=0.02) decreased over time. Overall 30-day mortality was 6.3%, 10.6%-T1, 6.3%-T2, and 2.1%-T3 (p=0.09). We noted significant improvement in survival over time; 1- and 3-year survival was 79% and 56%, 89% and 83%, and 90% and 90%, for T1, T2, and T3, respectively (p=0.007). In all, 467 of 480 target vessels were revascularized (97.3% success). Reintervention rate (30-day: 13.5%, follow-up: 34.7%) and reintervention free survival was not significantly different between groups. Any major adverse event (MAE) occurred in 36.9% of patients overall with a significant decrease from early (51.1%), mid (34.9%), to late in our experience (25.5%, p=0.03). In multivariate analyses, increasing institutional experience (T3), procedure time, age, and sex were independent predictors of major adverse events. CONCLUSION: We have shown improvement in F/BEVAR outcomes including mortality, MAEs, and procedural metrics with increasing institutional experience. We postulate that a combination of advancements in technique, surgical team and postoperative care experience, graft design and stent technologies, and patient selection contributed to improvement in outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".