BACKGROUND Considering the high incidence of colorectal cancer (CRC) related deaths, many studies have investigated variables that can affect survival, with the aim of prolonging survival. The nutritional status can also be predict survival in patients with CRC. OBJECTIVE The aim of the present study was to evaluate if BMI, %FAT, PhA, PG-SGA, adiponectin levels, and vitamin D levels are relevant to the characterization and differentiation of patients with advanced CRC and patients with a history of CRC. METHODS The study was carried out by patients with advanced colorectal cancer (Group 1) and patients in follow-up after colorectal cancer treatment (Group 2). Nutritional status was assessed using the body mass index, body fat percentage, phase angle from bioelectrical impedance, Patient-Generated Subjective Global Assessment score. Adiponectin concentrations were determined using an enzyme-linked immunosorbent assay, and vitamin D levels were measured using high performance liquid chromatography. RESULTS Groups 1 and 2 consisted of 23 and 27 patients, respectively. The body mass index, body fat percentage, phase angle, vitamin D and adiponectin levels were not significantly different between the groups. The mean Patient-Generated Subjective Global Assessment score was significantly higher in group 1 compared with group 2, and was significantly correlated with the long-term mortality risk. CONCLUSION Among the nutritional status parameters, only the Patient-Generated Subjective Global Assessment score was significantly different between the groups and was an important predictor of survival in patients with advanced colorectal cancer.
ADIPONECTIN, VITAMIN D AND NUTRITIONAL STATUS IN PATIENTS WITH ADVANCED COLORECTAL CANCER OR DURING FOLLOW-UP.
M. Cavagnari,Verônica Marques Vidigal,T. D. Silva,K. Barão,N. Forones
Published 2019 in Arquivos de Gastroenterologia
ABSTRACT
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- Publication year
2019
- Venue
Arquivos de Gastroenterologia
- Publication date
2019-08-13
- Fields of study
Medicine
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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