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Predicting mortality in patients with anastomotic leak after esophagectomy: development of a prediction model using data from the TENTACLE-Esophagus study.
Ubels, Sander; Klarenbeek, Bastiaan; Verstegen, Moniek; Bouwense, Stefan; Griffiths, Ewen A; van Workum, Frans; Rosman, Camiel; Hannink, Gerjon.
Afiliación
  • Ubels S; Department of Surgery, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.
  • Klarenbeek B; Department of Surgery, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.
  • Verstegen M; Department of Surgery, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.
  • Bouwense S; Department of Surgery, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Griffiths EA; Department of Upper Gastrointestinal Surgery, Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • van Workum F; Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Rosman C; Department of Surgery, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.
  • Hannink G; Department of Surgery, Canisius-Wilhelmina Hospital, Nijmegen, The Netherlands.
Dis Esophagus ; 36(5)2023 Apr 29.
Article en En | MEDLINE | ID: mdl-36461788
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Esofágicas / Fuga Anastomótica Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Dis Esophagus Asunto de la revista: GASTROENTEROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Esofágicas / Fuga Anastomótica Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Dis Esophagus Asunto de la revista: GASTROENTEROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos