Language

English

Publication Date

2-1-2026

Journal

JTCVS Open

DOI

10.1016/j.xjon.2025.101573

PMID

41960083

PMCID

PMC13059981

PubMedCentral® Posted Date

12-26-2025

PubMedCentral® Full Text Version

Post-print

Abstract

Objective: Failure to rescue (FTR) is a metric of postoperative care, measuring a center's ability to prevent operative death after a surgical complication. We evaluated trends in and contributors to FTR after proximal aortic surgery at a high-volume institution.

Methods: Of 4180 patients in our single practice who underwent open proximal aortic repair from 1990 to 2024, 1304 (31.2%) had at least 1 of 4 FTR-related complications identified by the Society of Thoracic Surgeons (STS). Operative death was defined as death within 30 days of surgery or before hospital discharge or transfer. We analyzed FTR rate by specific complication, including the number and combination of complications. We then evaluated the association of elective versus emergency repair and aortic dissection with FTR rate. Finally, a multivariable model was built to predict FTR in these patients.

Results: Of 1304 patients with an STS complication, 303 (23.2%) had operative death and thus an FTR. The FTR rate was 13% for patients with 1 complication and increased to 48%, 68%, and 100% with each additional complication. The 2 STS complications most associated with FTR were stroke (odds ratio, 5.92; P < .001) and renal failure necessitating dialysis (odds ratio, 8.24; P < .001). Neither emergency repair nor acute aortic dissection were significant FTR predictors after adjustment for covariates. A 6-variable predictive model to predict FTR achieved a test C-statistic of 0.79 (0.77-0.81).

Conclusions: The FTR rate significantly increased with each additional complication. We built a model that can effectively predict FTR. Better understanding of FTR rates can identify areas for improvement in postoperative care.

Keywords

failure to rescue, proximal aorta, risk estimation, postoperative care

Published Open-Access

yes

ga1.jpg (462 kB)
Graphical Abstract

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.