4.4 Article

The Relationship between Nutritional Status and Body Composition with Clinical Parameters, Tumor Stage, CA19-9, CEA Levels in Patients with Pancreatic and Periampullary Tumors

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CURRENT ONCOLOGY
卷 28, 期 6, 页码 4805-4820

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MDPI
DOI: 10.3390/curroncol28060406

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nutritional status; pancreatic cancer; body composition; malnutrition

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Recent studies have obtained inadequate data on the association between nutritional status, body composition, clinical parameters and tumor stage in patients with pancreatic and periampullary tumors. The study assessed the relationship between nutritional status, body composition, and selected clinical parameters in patients with pancreatic and periampullary cancer, as well as described differences between resection and non-resection groups.
Recent studies have obtained inadequate data on the association between nutritional status, body composition, clinical parameters and tumor stage in patients withpancreatic and periampullary tumors. The purpose of this study was to assess the relationship between nutritional status (NS), body composition (BC) and selected clinical parameters in patients with pancreatic and periampullary cancer, as well as describe the differences between resection and non-resection groups. This is a prospective study of 76 patients with pancreatic and periampullary tumors. We evaluated NS, BMI, body mass loss (BML) and albumin, total protein, CRP, CEA, CA19-9, lipase, amylase, tumor stage, and BC using bioelectrical impedance (BIA). All subjects were divided into resection (n = 59) and non-resection (n = 17) groups. The non-resection group had a worse NS, as well as increased amylase and WBC, compared to the resection. The selected parameters of BC corresponded to BML albumin, TP, NS, age, BMI, Karnofsky, RBC, HCT and HGB. No associations were found between BC with tumor size, CRP, CA19-9, and CEA. We recorded the relationship between metastasis and NRS, as well as tumor size with SGA. The percentage of BML was positively correlated with age and CRP but negatively correlated with RBC, HGB, HCT and anthropometric measurements. We found many statistical correlations with NS and selected parameters, as well as differences between the resection and non-resection group. The detection of early prognostic factors of nutritional impairments would improve the quality of life and reduce the rate of postoperative complications.

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