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Nomogram for Predicting Risk of Intestinal Complications After Colorectal Cancer Surgery.
Jiang, Hui-Hong; Dong, Xian-Long; Tang, Xuan; Li, A-Jian; Chang, Yi; Li, Hua-Guang; Chen, Ying; Zhang, Zhi-Yong; Tang, Er-Jiang; Lin, Mou-Bin.
Afiliação
  • Jiang HH; Department of General Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China (mainland).
  • Dong XL; Institute of Gastrointestinal Surgery and Translational Medicine, Tongji University School of Medicine, Shanghai, China (mainland).
  • Tang X; Department of General Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China (mainland).
  • Li AJ; Institute of Gastrointestinal Surgery and Translational Medicine, Tongji University School of Medicine, Shanghai, China (mainland).
  • Chang Y; Department of General Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China (mainland).
  • Li HG; Institute of Gastrointestinal Surgery and Translational Medicine, Tongji University School of Medicine, Shanghai, China (mainland).
  • Chen Y; Department of General Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China (mainland).
  • Zhang ZY; Institute of Gastrointestinal Surgery and Translational Medicine, Tongji University School of Medicine, Shanghai, China (mainland).
  • Tang EJ; Department of General Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China (mainland).
  • Lin MB; Institute of Gastrointestinal Surgery and Translational Medicine, Tongji University School of Medicine, Shanghai, China (mainland).
Med Sci Monit ; 25: 2104-2111, 2019 Mar 21.
Article em En | MEDLINE | ID: mdl-30897070
ABSTRACT
BACKGROUND Intestinal complications are a major cause of morbidity after colorectal cancer surgery. This study aimed to develop an effective nomogram for predicting risk of intestinal complications following colorectal cancer surgery. MATERIAL AND METHODS We retrospectively analyzed 1876 patients who underwent colorectal cancer surgery at Yangpu and Zhuji hospitals from January 2013 to October 2018. Intestinal complications were defined as intestinal obstruction, leakage or bleeding, or peritonitis within 30 days after surgery. A logistic regression model was used to identify the risk factors associated with postoperative intestinal complications, and a nomogram for intestinal complications was established. The predictive accuracy of the nomogram was assessed using area under the receiver operating characteristic curve (AUC) and calibration plot. RESULTS A total of 164 patients (8.7%) developed intestinal complications after colorectal cancer surgery; 35 (21.3%) of whom died in the postoperative period. Multivariate logistic analysis showed that male gender, history of abdominal surgery, preoperative intestinal obstruction/perforation, metastatic cancer, and lower level of hemoglobin and prognostic nutrition index were independent risk factors (P<0.05 for all). A nomogram was then constructed, and it displayed good accuracy in predicting postoperative intestinal complications with an AUC of 0.76. The calibration plot also showed an excellent agreement between the predicted and observed probabilities. CONCLUSIONS We constructed a nomogram based on clinical variables, which could provide individual prediction of postoperative intestinal complications with good accuracy.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Neoplasias Colorretais / Nomogramas / Complicações Intraoperatórias Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Neoplasias Colorretais / Nomogramas / Complicações Intraoperatórias Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article