conclusions: conut seems to be an efficient tool for early detection and continuous control of hospital undernutrition, with the suitable characteristics for these screening functions.Alterations in intestinal microbiota composition are associated with several chronic conditions, including obesity and inflammatory diseases. The HEART score had the largest area under the receiver operating characteristic (ROC) curve for predicting MACE at 7-day, 30-day, and 6-month follow-up [area under curve (AUC) = 0.731, 0.726, and 0.747, respectively.The HEART score also had the largest AUC for predicting effectiveness outcome (AUC = 0.715, 0.704, and 0.721, respectively).it automatically assesses the nutritional status taking into account laboratory information including serum albumin, total cholesterol level and total lymphocyte count.we have studied the association between the results of the subjective global assessment (sga) and full nutritional assessment (fna) with those from conut, in a sample of 53 individuals.
The separation of microbiota composition significantly correlated with measures of frailty, co-morbidity, nutritional status, markers of inflammation and with metabolites in faecal water. The microbiota of older people displays greater inter-individual variation than that of younger adults. Here we show that the faecal microbiota composition from 178 elderly subjects formed groups, correlating with residence location in the community, day-hospital, rehabilitation or in long-term residential care. These include dietary, physical, anthropometric, psychological, social, and clinical factors.Nutritional screening tools can also provide a timeline of patient nutritional status, informing past, present, and/or future risk of malnutrition.