Lisa Martin1, Ioannis Gioulbasanis2, Pierre Senesse3, Vickie E Baracos4. 1. Department of Agricultural, Food & Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada. 2. Department of Chemotherapy, Larissa General Clinic "E Patsidis", Larissa, Thessaly, Greece. 3. Clinical Nutrition and Gastroenterology Unit, Institut Régional du Cancer de Montpellier (ICM), Montpellier, France. 4. Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Abstract
BACKGROUND: Overweight/obese patients' large fat mass can mask the loss of skeletal muscle, which is associated with mortality in the oncology setting. We investigated the prevalence of computed tomography (CT)-defined sarcopenia and myosteatosis across different levels of nutrition risk assessed by the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF). We also evaluated whether the PG-SGA SF, sarcopenia, and myosteatosis were prognostic of overall survival. METHODS: This was a prospective, observational study. Consecutive patients with body mass index ≥25.0 kg/m2 with newly diagnosed head and neck cancer (any stage) or lung and gastrointestinal tract cancer (locally recurrent or metastatic) were screened at presentation to oncology clinics. Nutrition risk was assigned based on PG-SGA SF triage recommendations. Based on CT, patients were classified with sarcopenia and/or myosteatosis using published cutoffs. Survival analyses were conducted. RESULTS: Patients (n=1157) were 63.6 ± 11.4 years, 64% male, and 61% had stage IV disease. Sarcopenia and myosteatosis were prevalent across PG-SGA SF nutrition risk categories (scores 0-1 [no risk; 36% sarcopenic; 44% myosteatotic], scores 2-3 [37%; 37%], scores 4-8 [40%; 41%], and scores ≥9 [high risk; 50%; 49%]). In multivariable survival analysis, PG-SGA SF scores ≥9 (hazard ratio [HR] 2.08, 95% confidence interval [CI] 1.66-2.60, P<0.001), sarcopenia (HR 1.25, 95% CI 1.06-1.46, P=0.006), and myosteatosis (HR 1.25, 95% CI 1.07-1.46, P<0.001) independently predicted reduced survival. CONCLUSION: CT-defined sarcopenia and myosteatosis are prevalent across different levels of nutrition risk in overweight/obese patients with cancer. Assessment of skeletal muscle using CT adds prognostic value to the PG-SGA SF.
BACKGROUND: Overweight/obesepatients' large fat mass can mask the loss of skeletal muscle, which is associated with mortality in the oncology setting. We investigated the prevalence of computed tomography (CT)-defined sarcopenia and myosteatosis across different levels of nutrition risk assessed by the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF). We also evaluated whether the PG-SGA SF, sarcopenia, and myosteatosis were prognostic of overall survival. METHODS: This was a prospective, observational study. Consecutive patients with body mass index ≥25.0 kg/m2 with newly diagnosed head and neck cancer (any stage) or lung and gastrointestinal tract cancer (locally recurrent or metastatic) were screened at presentation to oncology clinics. Nutrition risk was assigned based on PG-SGA SF triage recommendations. Based on CT, patients were classified with sarcopenia and/or myosteatosis using published cutoffs. Survival analyses were conducted. RESULTS:Patients (n=1157) were 63.6 ± 11.4 years, 64% male, and 61% had stage IV disease. Sarcopenia and myosteatosis were prevalent across PG-SGA SF nutrition risk categories (scores 0-1 [no risk; 36% sarcopenic; 44% myosteatotic], scores 2-3 [37%; 37%], scores 4-8 [40%; 41%], and scores ≥9 [high risk; 50%; 49%]). In multivariable survival analysis, PG-SGA SF scores ≥9 (hazard ratio [HR] 2.08, 95% confidence interval [CI] 1.66-2.60, P<0.001), sarcopenia (HR 1.25, 95% CI 1.06-1.46, P=0.006), and myosteatosis (HR 1.25, 95% CI 1.07-1.46, P<0.001) independently predicted reduced survival. CONCLUSION: CT-defined sarcopenia and myosteatosis are prevalent across different levels of nutrition risk in overweight/obesepatients with cancer. Assessment of skeletal muscle using CT adds prognostic value to the PG-SGA SF.
Authors: Robert D Boutin; Jeremy R Katz; Abhijit J Chaudhari; Jonathan G Yabes; Jonah S Hirschbein; Yves-Paul Nakache; J Anthony Seibert; Ramit Lamba; Ghaneh Fananapazir; Robert J Canter; Leon Lenchik Journal: Quant Imaging Med Surg Date: 2020-08
Authors: Stephan C Bischoff; Rocco Barazzoni; Luca Busetto; Marjo Campmans-Kuijpers; Vincenzo Cardinale; Irit Chermesh; Ahad Eshraghian; Haluk Tarik Kani; Wafaa Khannoussi; Laurence Lacaze; Miguel Léon-Sanz; Juan M Mendive; Michael W Müller; Johann Ockenga; Frank Tacke; Anders Thorell; Darija Vranesic Bender; Arved Weimann; Cristina Cuerda Journal: United European Gastroenterol J Date: 2022-08-12 Impact factor: 6.866