TY - JOUR
T1 - Predicting mortality in patients with anastomotic leak after esophagectomy
T2 - development of a prediction model using data from the TENTACLE-Esophagus study
AU - Ubels, Sander
AU - Klarenbeek, Bastiaan
AU - Verstegen, Moniek
AU - Bouwense, Stefan
AU - Griffiths, Ewen A
AU - van Workum, Frans
AU - Rosman, Camiel
AU - Hannink, Gerjon
AU - TENTACLE-Esophagus Collaborative Group
N1 - © The Author(s) 2022. Published by Oxford University Press on behalf of International Society for Diseases of the Esophagus. All rights reserved. For permissions, please e-mail: [email protected].
PY - 2023/4/29
Y1 - 2023/4/29
N2 - 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.
AB - 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.
U2 - 10.1093/dote/doac081
DO - 10.1093/dote/doac081
M3 - Article
C2 - 36461788
SN - 1120-8694
VL - 36
JO - Diseases of the Esophagus
JF - Diseases of the Esophagus
IS - 5
M1 - doac081
ER -