The comparison of the prognostic value of scored patient generated subjective global assessment and Computed Tomography measured sarcopenia in patients with gynecological cancer
CLINICAL NUTRITION ESPEN, cilt.48, ss.253-258, 2022 (ESCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 48
- Basım Tarihi: 2022
- Doi Numarası: 10.1016/j.clnesp.2022.02.004
- Dergi Adı: CLINICAL NUTRITION ESPEN
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, CAB Abstracts, EMBASE, Food Science & Technology Abstracts, MEDLINE, Veterinary Science Database
- Sayfa Sayıları: ss.253-258
- Dokuz Eylül Üniversitesi Adresli: Evet
Özet
Background: Screening of the nutrition status is recommended for the early detection and treatment of cancer-associated malnutrition to improve the prognosis. We aimed to compare the prognostic value of Patient Generated-Subjective Global Assessment (PG-SGA) and CT measured sarcopenia in patients with gynecological cancer. Methods: A total of 107 patients of which were 57 endometrial, 37 ovarian, and 13 cervical cancer who underwent surgery and evaluated by PG-SGA were enrolled. Skeletal muscle index (SMI) was calculated by automatic segmentation of the muscle area at the L3 level on abdominal CT scan and defined by the cut-off value of 38.9 cm(2)/m(2). Karnofsky and Eastern Cooperative Oncology Group (ECOG) Performance Status scorings were performed. Hospitalization length (HL), overall- (OS), and progression-free- survival (PFS) were analyzed. Body muscle index (BMI) (kg/m(2)) was calculated. Serum CA-125 and albumin levels were obtained. Results: The prevalence of malnutrition and sarcopenia were 67% and 26.2%, respectively. BMI was significantly associated with PG-SGA (p = 0.02) and SMI (p = 0.01). PG-SGA significantly correlated with CA-125 (r = 0.33, p = 0.002), ECOG (r = 0.29, p = 0.002), Karnofsky (r = -0.34, p < 0.001), and HL (r = 0.27, p = 0.004). PG-SGA showed a significant association with PFS (p = 0.007) and OS (p = 0.001). PG-SGA-9 showed a significant relationship with prolonged HL, mortality, and progression (OR = 1.08; p = 0.03, OR = 23.09; p = 0.003, and OR = 5.39; p = 0.001, respectively). Conclusion: PG-SGA can identify patients at nutritional risk earlier than SMI. PG-SGA shows a higher correlation with HL and clinical performance scores than SMI. PG-SGA is a better prognostic factor for prolonged HL, OS, and PFS. (C) 2022 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.