Predicting mortality in patients with anastomotic leak after esophagectomy: development of a prediction model using data from the TENTACLE—Esophagus study

Author:

Ubels Sander1ORCID,Klarenbeek Bastiaan1,Verstegen Moniek1ORCID,Bouwense Stefan2,Griffiths Ewen A345ORCID,van Workum Frans16,Rosman Camiel1,Hannink Gerjon7,

Affiliation:

1. Department of Surgery, Radboud Institute for Health Sciences, Radboud university medical center , Nijmegen , The Netherlands

2. Department of Surgery, Maastricht University Medical Center+ , Maastricht , The Netherlands

3. Department of Upper Gastrointestinal Surgery, Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust , Birmingham , UK

4. Institute of Cancer and Genomic Sciences , College of Medical and Dental Sciences, , Birmingham , UK

5. University of Birmingham , College of Medical and Dental Sciences, , Birmingham , UK

6. Department of Surgery, Canisius-Wilhelmina Hospital , Nijmegen , The Netherlands

7. Department of Operating Rooms, Radboud Institute for Health Sciences, Radboud university medical center , Nijmegen , The Netherlands

Abstract

Summary Anastomotic leak (AL) is a common but severe complication after esophagectomy, and over 10% of patients with AL suffer mortality. Different prognostic factors in patients with AL are known, but a tool to predict mortality after AL is lacking. This study aimed to develop a prediction model for postoperative mortality in patients with AL after esophagectomy. TENTACLE—Esophagus is an international retrospective cohort study, which included 1509 patients with AL after esophagectomy. The primary outcome was 90-day postoperative mortality. Previously identified prognostic factors for mortality were selected as predictors: patient-related (e.g. comorbidity, performance status) and leak-related predictors (e.g. leucocyte count, overall gastric conduit condition). The prediction model was developed using multivariable logistic regression and validated internally using bootstrapping. Among the 1509 patients with AL, 90-day mortality was 11.7%. Sixteen predictors were included in the prediction model. The model showed good performance after internal validation: the c-index was 0.79 (95% confidence interval 0.75–0.83). Predictions for mortality by the internally validated model aligned well with observed 90-day mortality rates. The prediction model was incorporated in an online tool for individual use and can be found at: https://www.tentaclestudy.com/prediction-model. The developed prediction model combines patient-related and leak-related factors to accurately predict postoperative mortality in patients with AL after esophagectomy. The model is useful for clinicians during counselling of patients and their families and may aid identification of high-risk patients at diagnosis of AL. In the future, the tool may guide clinical decision-making; however, external validation of the tool is warranted.

Publisher

Oxford University Press (OUP)

Subject

Gastroenterology,General Medicine

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