SciELO journals
Browse
1/1
3 files

Two variants of the Nutritional Risk in the Critically Ill Score as predictors of mortality in Intensive Care Unit patients at a Brazilian University Hospital

dataset
posted on 2020-04-01, 02:46 authored by Amanda Forte dos Santos SILVA, Audrey Machado dos REIS, Julia MARCHETTI, Oellen Stuani FRANZOSI, Thais STEEMBURGO

ABSTRACT Objective To evaluate the agreement between the modified version of the Nutritional Risk in the Critically Ill Score (without Interleukin-6) and a variant composed of C-Reactive Protein as well as its capacity to predict mortality. Methods A prospective cohort study was carried out with 315 patients in an Intensive Care Unit of a university hospital from October 2017 to April 2018. The agreement between the instruments was evaluated using the Kappa test. The predictive capacity for estimating mortality was assessed with the Receiver Operating Characteristic curve. Results The critical patients involved in the study had a mean age of 60.8±16.3 years and 53.5% were female. Most patients had C-Reactive Protein levels ?10mg/dL (n=263, 83.5%) and their admission in the Intensive Care Unit was medical (n=219, 69.5%). The prevalence of mortality was observed in 41.0% of the evaluated patients. The proportions at high nutritional risk according to Nutritional Risk in the Critically Ill without Interleukin-6 and with C-Reactive Protein were 57.5% and 55.6%, respectively. The tools showed strong and significant agreement(Kappa=0.935; p=0.020) and satisfactory performances in predicting mortality (area under the curve 0.695 [0.636-0.754] and 0.699 [0.640-0.758]). Conclusion Both versions of the Nutritional Risk in the Critically Ill tool show a satisfactory agreement and performance as predictors of mortality in critically ill patients. Further analysis of this variant and the association between nutrition adequacy and mortality is needed.

History

Usage metrics

    Revista de Nutrição

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC