TY - JOUR
T1 - The REAL (REctal Anastomotic Leak) score for prediction of anastomotic leak after rectal cancer surgery
AU - Arezzo, A.
AU - Migliore, M.
AU - Chiaro, P.
AU - Arolfo, S.
AU - Filippini, C.
AU - di Cuonzo, D.
AU - Cirocchi, R.
AU - Morino, M.
AU - REAL Score Collaborators
AU - Akiyoshi, Takashi
AU - Araujo, Sergio Eduardo Alonso
AU - Baiocchi, Gian Luca
AU - Bergamaschi, Roberto
AU - Bertelsen, Claus Anders
AU - Biffi, Roberto
AU - Bonino, Marco Augusto
AU - Brachet Contul, Riccardo
AU - Bujko, Krzysztof
AU - But-Hadzic, Jasna
AU - Cats, Annemieke
AU - Cuesta, Miguel A.
AU - Desiderio, Jacopo
AU - Eriksen, Morten Tandberg
AU - Evrard, Serge
AU - Foo, Dominic C. C.
AU - Fukuoka, Hironori
AU - Harling, Henrik
AU - Hidaka, Eiji
AU - Jani, Kalpesh
AU - Jarry, Julien
AU - Kim, Jin Cheon
AU - Lange, Marilyne M.
AU - Lakkis, Zaher
AU - Law, Wai Lun
AU - Lim, Seok-Byung
AU - Martz, Joseph E.
AU - Kranenbarg, Elma Meershoek-Klein
AU - Motson, Roger
AU - Graciela, Valero Navarro
AU - Palanivelu, Chinnasamy
AU - Panis, Yves
AU - Parisi, Amilcare
AU - Passera, Roberto
AU - Peeters, Koen C. M. J.
AU - Penninckx, Freddy
AU - Sartori, Carlo Augusto
AU - Shmaissany, Kassem
AU - Škrovina, Matej
AU - van de Velde, Cornelis J. H.
AU - van der Noort, Vincent
AU - Veenhof, Alexander A. F. A.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - Background: Anastomotic leak after rectal cancer surgery is a severe complication associated with poorer oncologic outcome and quality of life. Preoperative assessment of the risk for anastomotic leak is a key component of surgical planning, including the opportunity to create a defunctioning stoma. Objective: The purpose of this study was to identify and quantify the risk factors for anastomotic leak to minimize risk by either not restoring bowel continuity or protecting the anastomosis with a temporary diverting stoma. Methods: Potentially relevant studies were identified from the following databases: PubMed, Embase and Cochrane Library. This meta-analysis included studies on transabdominal resection for rectal cancer that reported data about anastomotic leak. The risk for anastomotic leak after rectal cancer surgery was investigated. Preoperative, intraoperative, and postoperative factors were extracted and used to compare anastomotic leak rates. All variables demonstrating a p value < 0.1 in the univariate analysis were entered into a multivariate logistic regression model to determine the risk factors for anastomotic leak. Results: Twenty-six centers provided individual data on 9735 patients. Selected preoperative covariates (time before surgery, age, gender, smoking, previous abdominal surgery, BMI, diabetes, ASA, hemoglobin level, TNM classification stage, anastomotic distance) were used as independent factors in a logistic regression model with anastomotic leak as dependent variable. With a threshold value of the receiver operating characteristics (ROC) curve corresponding to 0.0791 in the training set, the area under the ROC curve (AUC) was 0.585 (p < 0.0001). Sensitivity and specificity of the model’s probability > 0.0791 to identify anastomotic leak were 79.1% and 32.9%, respectively. Accuracy of the threshold value was confirmed in the validation set with 77.8% sensitivity and 35.2% specificity. Conclusions: We trust that, with further refinement using prospective data, this nomogram based on preoperative risk factors may assist surgeons in decision making. The score is now available online (http://www.real-score.org).
AB - Background: Anastomotic leak after rectal cancer surgery is a severe complication associated with poorer oncologic outcome and quality of life. Preoperative assessment of the risk for anastomotic leak is a key component of surgical planning, including the opportunity to create a defunctioning stoma. Objective: The purpose of this study was to identify and quantify the risk factors for anastomotic leak to minimize risk by either not restoring bowel continuity or protecting the anastomosis with a temporary diverting stoma. Methods: Potentially relevant studies were identified from the following databases: PubMed, Embase and Cochrane Library. This meta-analysis included studies on transabdominal resection for rectal cancer that reported data about anastomotic leak. The risk for anastomotic leak after rectal cancer surgery was investigated. Preoperative, intraoperative, and postoperative factors were extracted and used to compare anastomotic leak rates. All variables demonstrating a p value < 0.1 in the univariate analysis were entered into a multivariate logistic regression model to determine the risk factors for anastomotic leak. Results: Twenty-six centers provided individual data on 9735 patients. Selected preoperative covariates (time before surgery, age, gender, smoking, previous abdominal surgery, BMI, diabetes, ASA, hemoglobin level, TNM classification stage, anastomotic distance) were used as independent factors in a logistic regression model with anastomotic leak as dependent variable. With a threshold value of the receiver operating characteristics (ROC) curve corresponding to 0.0791 in the training set, the area under the ROC curve (AUC) was 0.585 (p < 0.0001). Sensitivity and specificity of the model’s probability > 0.0791 to identify anastomotic leak were 79.1% and 32.9%, respectively. Accuracy of the threshold value was confirmed in the validation set with 77.8% sensitivity and 35.2% specificity. Conclusions: We trust that, with further refinement using prospective data, this nomogram based on preoperative risk factors may assist surgeons in decision making. The score is now available online (http://www.real-score.org).
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068041485&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/31240416
U2 - 10.1007/s10151-019-02028-4
DO - 10.1007/s10151-019-02028-4
M3 - Article
C2 - 31240416
SN - 1123-6337
VL - 23
SP - 649
EP - 663
JO - Techniques in Coloproctology
JF - Techniques in Coloproctology
IS - 7
ER -