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Endocrine Abstracts (2022) 81 RC6.1 | DOI: 10.1530/endoabs.81.RC6.1

1Hospital de La Princesa, Endocrinología, Madrid, Spain; 2Hospital de La Princesa, Radiología, Madrid, Spain; 3Hospital de La Princesa, Endocrinología y Nutrición, Madrid, Spain; 4Hospital De La Princesa, Cirugía General y del Aparato Digestivo, Madrid, Spain


Introduction: Nutritional status in patients with neuroendocrine tumors (NETs), especially with gastroenteropancreatic origin, may be affected and have an impact on prognosis and survival. Different techniques are currently available to assess nutritional status, but not all of them are accessible in routine clinical practice. In this context, Body composition of NET patients was calculated by computed tomography (CT) at L3 level to evaluate its importance on clinical prognosis.

Materials and Methods: We collected gastroenteropancreatic NET patients with L3 level CT images at diagnosis since 2004 at Hospital Universitario La Princesa (Madrid). L3 CT images were analyzed using NIH ImageJ protocol and R version 4.0. The following measures were obtained: body area, visceral fat tissue, subcutaneous fat, total fat, intermuscular fat, very low density muscle, low density muscle, normal density muscle (NDM), high density muscle and total muscle. All of them were normalized by the squared height of each patient. We used normality Shapiro-Wilk test and Mann-Whitney-U or Kruskal-Wallis tests and one-way t test or ANOVA/ANCOVA for group differences in those with non-normal and normal distribution respectively. We applied Spearman correlation to establish possible relationships between age and biochemical parameters and body composition measures. All the statistical analysis was performed using R 4.0 version.

Results: The sample is composed of 61 gastroenteropancreatic NET patients classified according to: 1) their NET primary location in small intestine (44.26%), pancreatic (37.70%) and large intestine (24.59%); and 2) tumor type: nonfunctioning (70.49%), functioning carcinoid (24.59%), gastrinoma (4.92%) and insulinoma (6.56%). Patients’ mean age was 63.19+/-10.97 years, and 53.73% were females. NDM was positively correlated with albumin (r=0.3655, P=0.0084) and lymphocyte number (r=0.3749, P=0.0100). On the other hand, NDM was inversely correlated with age (r=-0.5185, P=0.0012), myosteatosis (r=-0.7065, P<0.0001) and inflammation parameters such as ferritin (r=-0.3038, P=0.0349) and fibrinogen (r=-0.3119, P=0.0481). Low levels of NDM and total muscle were associated with any type (P-=0.0007, P=0.0029) and tumor-specific mortality (P=0.0149, P=0.0113), regardless of sex and age in multivariable analysis. Patients with metastasis have less total fat (pvalue=0.0187) and myosteatosis was more frequent in insulinoma (P<0.05) than in non-functioning tumors, carcinoids and gastrinomas. There were no differences according to tumor location.

Conclusion: Body composition analysis is feasible using CT data acquired in routine clinical practice in patients with NETs. Low levels of NDM seem to be independently associated with a worse analytical profile and with mortality.

Volume 81

European Congress of Endocrinology 2022

Milan, Italy
21 May 2022 - 24 May 2022

European Society of Endocrinology 

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