Metabolic syndrome predicts postoperative complications after gastrectomy in gastric cancer patients: Development of an individualized usable nomogram and rating model

Abstract Background Metabolic syndrome (MetS), a public health problem, is reportedly related to an increased risk of postoperative complications after surgery. However, whether MetS have an effect on complications after gastric cancer (GC) surgery are unknown. This study aimed to investigate the ef...

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Main Authors: Xiaodong Chen, Weiteng Zhang, Xiangwei Sun, Mingming Shi, Libin Xu, Yiqi Cai, Wenjing Chen, Chenchen Mao, Xian Shen
Format: Article
Language:English
Published: Wiley 2020-10-01
Series:Cancer Medicine
Subjects:
Online Access:https://doi.org/10.1002/cam4.3352
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author Xiaodong Chen
Weiteng Zhang
Xiangwei Sun
Mingming Shi
Libin Xu
Yiqi Cai
Wenjing Chen
Chenchen Mao
Xian Shen
author_facet Xiaodong Chen
Weiteng Zhang
Xiangwei Sun
Mingming Shi
Libin Xu
Yiqi Cai
Wenjing Chen
Chenchen Mao
Xian Shen
author_sort Xiaodong Chen
collection DOAJ
description Abstract Background Metabolic syndrome (MetS), a public health problem, is reportedly related to an increased risk of postoperative complications after surgery. However, whether MetS have an effect on complications after gastric cancer (GC) surgery are unknown. This study aimed to investigate the effects of preoperative MetS on complications after gastrectomy. Methods Altogether, 718 gastric cancer patients who planned to receive radical gastrectomy between June 2014 and December 2016 were enrolled, demographic and clinicopathological characteristics were analyzed. Univariate and multivariate analyses were performed to identify potential risk factors for postoperative complications. A predictive model for postoperative complications was constructed in the form of a nomogram, and its clinical usefulness was assessed. Results Of the 628 patients ultimately included in the study (mean age 62.92 years, 450 men and 178 women), 84 were diagnosed with MetS preoperatively. Severe postoperative complications (Clavien‐Dindo grade ≥II) were significantly more common in patients with MetS (41.7% versus 23.7%, P < .001). Predictors of postoperative complications included MetS (odds ratio [OR] = 1.800, P = .023), age (OR = 1.418, P = .050), Charlson score (OR = 1.787, P = .004 for 1‐2 points) and anastomosis type (OR = 1.746, P = .007 for Billroth II reconstruction). The high‐risk rating had a high AUC (ROC I = 0.503, ROC Ib = 0.544, ROC IIa = 0.601, ROC IIb = 0.612, ROC IIc = 0.638, ROC III = 0.735), indicating that the risk‐rating model has good discriminative capacity and clinical usefulness. Conclusions MetS was an independent risk factor for complications after gastrectomy. The nomogram and rating model incorporating MetS, Billroth II anastomosis, age, and Charlson score was useful for individualized prediction of postoperative complications.
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spelling doaj.art-e265c33c143e4d5ab393ad4f2fe5520d2023-04-25T14:00:49ZengWileyCancer Medicine2045-76342020-10-019197116712410.1002/cam4.3352Metabolic syndrome predicts postoperative complications after gastrectomy in gastric cancer patients: Development of an individualized usable nomogram and rating modelXiaodong Chen0Weiteng Zhang1Xiangwei Sun2Mingming Shi3Libin Xu4Yiqi Cai5Wenjing Chen6Chenchen Mao7Xian Shen8Department of Gastrointestinal Surgery The Second Affiliated Hospital of Wenzhou Medical University and Yuying children's Hospital Wenzhou ChinaDepartment of Gastrointestinal Surgery The Second Affiliated Hospital of Wenzhou Medical University and Yuying children's Hospital Wenzhou ChinaDepartment of Gastrointestinal Surgery The Second Affiliated Hospital of Wenzhou Medical University and Yuying children's Hospital Wenzhou ChinaDepartment of Gastrointestinal Surgery The First Affiliated HospitalWenzhou Medical University Wenzhou ChinaDepartment of Gastrointestinal Surgery The First Affiliated HospitalWenzhou Medical University Wenzhou ChinaDepartment of Gastrointestinal Surgery The First Affiliated HospitalWenzhou Medical University Wenzhou ChinaDepartment of Gastrointestinal Surgery The First Affiliated HospitalWenzhou Medical University Wenzhou ChinaDepartment of Gastrointestinal Surgery The First Affiliated HospitalWenzhou Medical University Wenzhou ChinaDepartment of Gastrointestinal Surgery The Second Affiliated Hospital of Wenzhou Medical University and Yuying children's Hospital Wenzhou ChinaAbstract Background Metabolic syndrome (MetS), a public health problem, is reportedly related to an increased risk of postoperative complications after surgery. However, whether MetS have an effect on complications after gastric cancer (GC) surgery are unknown. This study aimed to investigate the effects of preoperative MetS on complications after gastrectomy. Methods Altogether, 718 gastric cancer patients who planned to receive radical gastrectomy between June 2014 and December 2016 were enrolled, demographic and clinicopathological characteristics were analyzed. Univariate and multivariate analyses were performed to identify potential risk factors for postoperative complications. A predictive model for postoperative complications was constructed in the form of a nomogram, and its clinical usefulness was assessed. Results Of the 628 patients ultimately included in the study (mean age 62.92 years, 450 men and 178 women), 84 were diagnosed with MetS preoperatively. Severe postoperative complications (Clavien‐Dindo grade ≥II) were significantly more common in patients with MetS (41.7% versus 23.7%, P < .001). Predictors of postoperative complications included MetS (odds ratio [OR] = 1.800, P = .023), age (OR = 1.418, P = .050), Charlson score (OR = 1.787, P = .004 for 1‐2 points) and anastomosis type (OR = 1.746, P = .007 for Billroth II reconstruction). The high‐risk rating had a high AUC (ROC I = 0.503, ROC Ib = 0.544, ROC IIa = 0.601, ROC IIb = 0.612, ROC IIc = 0.638, ROC III = 0.735), indicating that the risk‐rating model has good discriminative capacity and clinical usefulness. Conclusions MetS was an independent risk factor for complications after gastrectomy. The nomogram and rating model incorporating MetS, Billroth II anastomosis, age, and Charlson score was useful for individualized prediction of postoperative complications.https://doi.org/10.1002/cam4.3352gastrectomymetabolic syndromenomogrampostoperative complications
spellingShingle Xiaodong Chen
Weiteng Zhang
Xiangwei Sun
Mingming Shi
Libin Xu
Yiqi Cai
Wenjing Chen
Chenchen Mao
Xian Shen
Metabolic syndrome predicts postoperative complications after gastrectomy in gastric cancer patients: Development of an individualized usable nomogram and rating model
Cancer Medicine
gastrectomy
metabolic syndrome
nomogram
postoperative complications
title Metabolic syndrome predicts postoperative complications after gastrectomy in gastric cancer patients: Development of an individualized usable nomogram and rating model
title_full Metabolic syndrome predicts postoperative complications after gastrectomy in gastric cancer patients: Development of an individualized usable nomogram and rating model
title_fullStr Metabolic syndrome predicts postoperative complications after gastrectomy in gastric cancer patients: Development of an individualized usable nomogram and rating model
title_full_unstemmed Metabolic syndrome predicts postoperative complications after gastrectomy in gastric cancer patients: Development of an individualized usable nomogram and rating model
title_short Metabolic syndrome predicts postoperative complications after gastrectomy in gastric cancer patients: Development of an individualized usable nomogram and rating model
title_sort metabolic syndrome predicts postoperative complications after gastrectomy in gastric cancer patients development of an individualized usable nomogram and rating model
topic gastrectomy
metabolic syndrome
nomogram
postoperative complications
url https://doi.org/10.1002/cam4.3352
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