Protein-calorie malnutrition is very frequent in cancer patients and is associated with an increase in morbidity and mortality. Recently, the Global Leadership Initiative on Malnutrition (GLIM) criteria were proposed to standardize the diagnosis of malnutrition. Nevertheless, these criteria were not validated in prospective studies. Our objective is to determine the prevalence of malnutrition in cancer inpatients using different diagnostic classifications, including GLIM criteria, and to establish their association with length of stay and mortality. Hence, we designed a prospective study. Within the first 24 hours of admission to the Inpatient Oncology Unit, subjective global assessment (SGA) was carried out, and anthropometric data (body mass index (BMI), mid-arm circumference (MAC), arm muscle circumference (AMC), fat-free mass index (FFMI)) and hand grip strength (HGS) were obtained to assess the reduction of muscle mass according to GLIM criteria. Length of stay, biomarkers (albumin, prealbumin, C-reactive protein (CRP)), and in-hospital and six-month mortality were evaluated. Regarding the 282 patients evaluated, their mean age was 60.4 ± 12.6 years, 55.7% of them were male, and 92.9% had an advanced-stage tumor (17.7% stage III, 75.2% stage IV). According to SGA, 81.6% of the patients suffered from malnutrition (25.5% moderate malnutrition, and 56.1% severe malnutrition), and, based on GLIM criteria, malnutrition rate was between 72.2 and 80.0% depending on the used tool. Malnourished patients (regardless of the tool used) showed significantly worse values concerning BMI, length of stay, and levels of CRP/albumin, albumin, and prealbumin than normally nourished patients. In logistic regression, adjusted for confounding variables, the odds ratio of death at six months was significantly associated with malnutrition by SGA (odds ratio 2.73, confidence interval (CI) 1.35–5.52, p = 0.002), and by GLIM criteria calculating muscle mass with HGS (odds ratio 2.72, CI 1.37–5.40, p = 0.004) and FFMI (odds ratio 1.87, CI 1.01–3.48, p = 0.047), but not by MAC or AMC. The prevalence of malnutrition in advanced-stage cancer inpatients is very high. SGA and GLIM criteria, especially with HGS, are useful tools to diagnose malnutrition and have a similar predictive value regarding six-month mortality in cancer inpatients.

Activation of the PPAR gamma 2 gene (PPARG2) improves the action of insulin and its lipid metabolism. We examined the association between Pro12Ala polymorphism of PPARG2, type 2 diabetes mellitus (DM2), and peripheral insulin sensitivity in a population with a high intake of oleic acid. A cross-sectional, population-based study was undertaken in Pizarra, a small town in the province of Malaga in southern Spain. A total of 538 subjects, aged 18–65 y, were selected randomly from the municipal census. All subjects underwent a clinical, anthropometrical, and biochemical evaluation, including an oral glucose tolerance test and Pro12Ala polymorphism of PPARG2. Insulin resistance was measured by homeostasis model assessment. Those subjects with the Ala-12 allele had an odds ratio for impaired fasting glucose of 0.55, for impaired glucose tolerance of 0.59, and for DM2 of 0.30. The intake of monounsaturated fatty acids (MUFA) contributed to the variance of the homeostasis model assessment insulin resistance index (HOMA IR) (P = 0.04), with a 2-way interaction between the Ala-12 allele of PPARG2 and the intake of MUFA (P = 0.005). The results suggest the existence of an interaction between Pro12Ala polymorphism of PPARG2 and dietary MUFA, such that obese people with the Ala-12 allele have higher HOMA IR values, especially if their intake of MUFA is low.