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A quantified risk‐scoring system and rating model for postsurgical gastroparesis syndrome in gastric cancer patients
Author(s) -
Chen Xiaodong,
Mao Chenchen,
Zhang Weiteng,
Lin Ji,
Wu Ruisen,
Zhang Fengmin,
Sun Xiangwei,
Chi Chuhuai,
Shen Xian,
Wang Pengfei
Publication year - 2017
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.24691
Subject(s) - medicine , receiver operating characteristic , logistic regression , area under the curve , gastroenterology , gastroparesis , cancer , scoring system , cutoff , obesity , risk assessment , gastric emptying , stomach , physics , computer security , quantum mechanics , computer science
Background and Objectives The study aimed to investigate the relationship between obesity and postsurgical gastroparesis syndrome (PGS), and to construct a scoring system and a risk model to identify patients at high risk. Methods A total of 634 patients were retrospectively analyzed. Clinical characteristics were evaluated via receiver operating characteristic (ROC) curve analysis. Logistic analysis was performed to determine the independent predictive indicators of PGS. A scoring system consisting of these indicators and a risk‐rating model were constructed and evaluated via ROC curve analysis. Results Based on the ROC curves, the visceral fat area (VFA) cutoff value for PGS was 94.00. Logistic analysis showed that visceral obesity (VFA ≥ 94.00 cm 2 ), the reconstruction technique, and tumor size were independent prognostic factors for PGS. The scoring system could predict PGS reliably with a high area under the ROC curve ([AUC] = 0.769). A high‐risk rating had a high AUC (AUC I = 0.56, AUC II = 0.65, and AUC III = 0.77), indicating that the risk‐rating model could effectively screen patients at high risk of PGS. Conclusions Visceral obesity defined by VFA effectively predicted PGS. Our scoring system may be a reliable instrument for identifying patients most at risk of PGS.