Background: Esophagectomy is central to curative therapy for esophageal cancer (EC). Perioperative outcomes affect both disease-free survival (DFS) and overall survival (OS) in patients undergoing oncologic esophageal surgery. The adoption of robotic techniques may improve surgical outcomes; however, the complex nature of perioperative outcomes is not adequately captured by individual quality measures.
Methods: All EC patients after minimally invasive esophagectomy (MIE) or robotic-assisted MIE (RAMIE) junction between 2015 and 2022 were included. Textbook outcome (TO) was defined as negative resection margin (R0), retrieval of >20 lymph nodes, no major complications, no reinterventions, no intensive care unit readmission, no 30-day readmission or mortality, and hospital stay <21 days. Individual propensity scores were calculated using a logistic regression model. Factors affecting TO were evaluated using a logistic regression model, and a multivariate Cox proportional hazards model was used to evaluate TO and survival.
Results: Of 236 patients included in this study, 106 (44.91%) achieved TO. TO was achieved in 71 patients after MIE (41.21%) and in 31 patients after RAMIE (57.41%; P = .036). RAMIE was associated with achievement of TO (odds ratio, 2.01; 95% confidence interval [CI], 1.07-3.80; P = .031) in the overall cohort. Achievement of TO was due to a reduction in major complications in the RAMIE group. Patients with perioperative TO had higher 3-year DFS and OS rates (univariate analysis [UV]: hazard ratio [HR], 2.49; 95% CI, 1.18-5.26; P = .016; multivariate analysis [MV]: HR, 4.30; 95% CI, 1.60-11.55; P = .004) compared to those without perioperative TO and disease-free survival (UV: HR, 2.28; 95% CI, 1.24-4.19; P = .008; MV: HR, 2.82; 95% CI, 1.26-6.32; P = .011) at the 2-year follow-up.
Conclusions: RAMIE is associated with increased TO achievement. Achieving TO is associated with enhanced long-term survival in EC patients and warrants continued emphasis on surgical quality improvement.
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http://dx.doi.org/10.1016/j.jtcvs.2024.11.008 | DOI Listing |
BMJ Qual Saf
January 2025
Department of Gastrointestinal Surgery, Stavanger University Hospital, Stavanger, Norway
HPB (Oxford)
December 2024
Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA. Electronic address:
Background: We sought to define textbook outcome in liver surgery (TOLS) for intrahepatic cholangiocarcinoma (ICC) by considering the implications of perioperative outcomes on overall survival (OS).
Methods: Using a multi-institutional database, TOLS for ICC was defined by employing novel machine learning (ML) models to identify perioperative factors most strongly predictive of OS ≥ 12 months. Subsequently, clinicopathologic factors associated with achieving TOLS were investigated.
Ann Surg Oncol
January 2025
Department of Surgery, University of California San Diego School of Medicine, San Diego, CA, USA.
Background: Textbook outcome (TO) has been utilized to assess the quality of surgical care. This study aimed to define TO rates for minimally invasive gastric gastrointestinal stromal tumor (GIST) resections in a bi-institutional cohort.
Methods: Patients with gastric GIST (≤ 5 cm) who underwent laparoscopic or robotic resection (January 2014 to January 2024) were retrospectively identified from two GIST centers.
Surgery
December 2024
Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH. Electronic address:
Introduction: Individuals with mental illness are at risk for poor surgical outcomes. Notably, the impact of preoperative assessment and optimization for high-risk surgical procedures remains a relatively understudied and evolving field. We sought to investigate the association between mental health assessment and postoperative outcomes.
View Article and Find Full Text PDFSurgery
December 2024
Department of Gastrointestinal and Minimally Invasive Surgery, Shaoxing Second Hospital; Shaoxing, Zhejiang, China. Electronic address: https://www.twitter.com/xu85218.
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