Chen-Chen Mao1, Xiao-Dong Chen1, Ji Lin1, Wei-Shan Zhu-Ge1, Zhong-Dong Xie1, Xi-Yi Chen1, Feng-Min Zhang1, Rui-Sen Wu1, Wei-Teng Zhang1, Neng Lou2, Li Shi3, Guan-Bao Zhu4, Xian Shen5,6. 1. Department of Gastrointestinal Surgery, The First Affiliated Hospital, Wenzhou Medical University, Shangcai Village, Wenzhou, Zhejiang Province, China. 2. Department of General Surgery, Zhejiang University Huzhou Hospital, Huzhou, Zhejiang, China. 3. Department of Gastroenterology, Jinhua First People's Hospital, Jinhua, Zhejiang, China. 4. Department of Gastrointestinal Surgery, The First Affiliated Hospital, Wenzhou Medical University, Shangcai Village, Wenzhou, Zhejiang Province, China. 352161451@qq.com. 5. Department of Gastrointestinal Surgery, The First Affiliated Hospital, Wenzhou Medical University, Shangcai Village, Wenzhou, Zhejiang Province, China. shenxian5166@gmail.com. 6. Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China. shenxian5166@gmail.com.
Abstract
BACKGROUND: This study aimed to determine the relationship between intra-abdominal infection (IAI) and sarcopenia prospectively and to construct a nomogram to identify patients at a high risk of IAI. METHODS: We conducted a prospective study of 682 consecutive patients with gastric cancer who underwent radical gastrectomy. The sarcopenia elements, including lumbar skeletal muscle index, handgrip strength, and gait speed, were measured before surgery. Factors contributing to IAI were determined through univariate and multivariate analysis. A nomogram consisting of the independent risk factors was constructed to quantify the individual risk of IAI. RESULTS: Of the 682 patients enrolled in this study, 132 patients were diagnosed with sarcopenia and 61 were diagnosed with IAI. Logistic analysis revealed that sarcopenia, tumor size, pathological type, and multivisceral resection were independent prognostic factors for IAI. The nomogram model for IAI was able to reliably quantify the risk of IAI with a strong optimism-adjusted discrimination (concordance index, 0.736). CONCLUSIONS: Sarcopenia is an independent predictor of IAI. Our nomogram was a simple and practical instrument to quantify the individual risk of IAI and could be used to identify patients at a high risk.
BACKGROUND: This study aimed to determine the relationship between intra-abdominal infection (IAI) and sarcopenia prospectively and to construct a nomogram to identify patients at a high risk of IAI. METHODS: We conducted a prospective study of 682 consecutive patients with gastric cancer who underwent radical gastrectomy. The sarcopenia elements, including lumbar skeletal muscle index, handgrip strength, and gait speed, were measured before surgery. Factors contributing to IAI were determined through univariate and multivariate analysis. A nomogram consisting of the independent risk factors was constructed to quantify the individual risk of IAI. RESULTS: Of the 682 patients enrolled in this study, 132 patients were diagnosed with sarcopenia and 61 were diagnosed with IAI. Logistic analysis revealed that sarcopenia, tumor size, pathological type, and multivisceral resection were independent prognostic factors for IAI. The nomogram model for IAI was able to reliably quantify the risk of IAI with a strong optimism-adjusted discrimination (concordance index, 0.736). CONCLUSIONS:Sarcopenia is an independent predictor of IAI. Our nomogram was a simple and practical instrument to quantify the individual risk of IAI and could be used to identify patients at a high risk.
Authors: Brian J Daley; William Cecil; P Chris Clarke; Joseph B Cofer; Oscar D Guillamondegui Journal: J Am Coll Surg Date: 2015-01-09 Impact factor: 6.113
Authors: Jaffer A Ajani; Thomas A D'Amico; Khaldoun Almhanna; David J Bentrem; Joseph Chao; Prajnan Das; Crystal S Denlinger; Paul Fanta; Farhood Farjah; Charles S Fuchs; Hans Gerdes; Michael Gibson; Robert E Glasgow; James A Hayman; Steven Hochwald; Wayne L Hofstetter; David H Ilson; Dawn Jaroszewski; Kimberly L Johung; Rajesh N Keswani; Lawrence R Kleinberg; W Michael Korn; Stephen Leong; Catherine Linn; A Craig Lockhart; Quan P Ly; Mary F Mulcahy; Mark B Orringer; Kyle A Perry; George A Poultsides; Walter J Scott; Vivian E Strong; Mary Kay Washington; Benny Weksler; Christopher G Willett; Cameron D Wright; Debra Zelman; Nicole McMillian; Hema Sundar Journal: J Natl Compr Canc Netw Date: 2016-10 Impact factor: 11.908