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The association between skeletal muscle status and gastric cancer (GC) prognosis remains unclear. Here, we investigated the impact of the skeletal muscle index (SMI) on overall survival (OS) in GC patients after radical gastrectomy.We divided 178 patients into four groups: adult men, adult women, elderly men and elderly women. The SMI, calculated using CT images, of patients was graded using cutoff values of group-specific tertiles. Age, body mass index, SMI grade, Charlson comorbidity index, surgical method (total vs distal gastrectomy), tumor stage, and histological type and differentiation were included in Cox regression models to assess the primary outcome parameter of OS. A new prognostic score for 3- year OS was established by combining the SMI grade and tumor stage, and receiver operating characteristic (ROC) curve analyses were used to determine its predictive reliability.For groups with high, medium, and low SMI grades, the 3-year OS rates were 94.04, 79.08 and 59.09% and 86.09, 70.11 and 49.11% (p0.001) in patients undergoing distal and total gastrectomy, respectively. In the multivariate analysis, low SMI (hazard ratio (HR) 1.82, 95% confidence interval (CI) 1.14-2.9), advanced stage (HR 2.89, 95% CI 1.43-5.83), and total gastrectomy (HR 1.69, 95% CI 0.95-3.01) were independent risk factors for OS (p0.010). The areas under the ROC curves for the prognostic score were 0.77 (range 0.61-0.93) and 0.76 (range 0.65-0.86) in patients undergoing distal and total gastrectomy, respectively.The preoperative SMI was an independent prognostic factor for long-term survival in GC patients after radical gastrectomy.

Hand grip strength (HGS) has emerged as a predictor of the nutritional status. However, many factors may modify the malnutrition-HGS association. This study explored the nutritional assessment value and determinants of HGS in patients hospitalized with cancer.In this multicenter, retrospective, observational study (11,314 patients), the Receiver operator characteristic curve was used to observe HGS and nutritional status sensitivity/specificity. Sex; age; height; weight; mid-upper arm circumference (MAMC); Patient-Generated Subjective Global Assessment (PG-SGA) score; Karnofsky score; physical function (PF) domain; cognitive function (CF) domain; global health and quality of life (QL) domain of EORTC QLQ-C30 (a quality of life instrument designed by the European Organization for Research and Treatment of Cancer); and albumin, prealbumin, and hemoglobin levels were included in a Stepwise analysis model to identify the factors influencing HGS.HGS showed a very low diagnostic value and accuracy for identifying severe malnourishment (area under the curve, 0.615-0.640; p0.01). HGS positively correlated with sex; height; weight; MAMC; Karnofsky score; QL, PF, and CF domains; and hemoglobin and prealbumin levels (Beta= 0.02-0.42, p=0.05), and negatively with age (Beta=-0.19, p0.01). However, the PG-SGA score was excluded because of its very limited contribution to HGS variability.HGS is a mutifactorial index. The use of HGS cutoff values to identify malnutrition is markedly challenging. Thus, HGS may be of limited use as a predictor of nutritional status.