Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool
TLDR
This scoring algorithm may be helpful in identifying critically ill patients most likely to benefit from aggressive nutrition therapy in the intensive care unit (ICU), and based on the statistical significance in the multivariable model, the final score used all candidate variables except BMI.Abstract:
To develop a scoring method for quantifying nutrition risk in the intensive care unit (ICU). A prospective, observational study of patients expected to stay > 24 hours. We collected data for key variables considered for inclusion in the score which included: age, baseline APACHE II, baseline SOFA score, number of comorbidities, days from hospital admission to ICU admission, Body Mass Index (BMI) < 20, estimated % oral intake in the week prior, weight loss in the last 3 months and serum interleukin-6 (IL-6), procalcitonin (PCT), and C-reactive protein (CRP) levels. Approximate quintiles of each variable were assigned points based on the strength of their association with 28 day mortality. A total of 597 patients were enrolled in this study. Based on the statistical significance in the multivariable model, the final score used all candidate variables except BMI, CRP, PCT, estimated percentage oral intake and weight loss. As the score increased, so did mortality rate and duration of mechanical ventilation. Logistic regression demonstrated that nutritional adequacy modifies the association between the score and 28 day mortality (p = 0.01). This scoring algorithm may be helpful in identifying critically ill patients most likely to benefit from aggressive nutrition therapy.read more
Citations
More filters
Journal ArticleDOI
Obesity and malnutrition in critically ill patients with acute myeloid leukemia: Prevalence and impact on mortality.
TL;DR: Critically ill patients with AML have a high prevalence of malnutrition and obesity, which are sometimes associated with hospital mortality, and the association between malnutrition, but not obesity, and hospital mortality was confirmed.
Journal ArticleDOI
Effects of Melatonin and Propolis Supplementation on Inflammation, Oxidative Stress, and Clinical Outcomes in Patients with Primary Pneumosepsis: A Randomized Controlled Clinical Trial
Naseh Pahlavani,Mahsa Malekahmadi,Alireza Sedaghat,Amir Masoud Rostami,Ola Kamal A. Alkadir,Ahmed Taifi,Golnaz Ranjbar,Amirhossein Sahebkar,Walid Kamal Abdelbasset,Mohammad Taghi Beigmohammadi,M Ramzan Mir,Ahmad Bagheri Moghaddam,Hamed Tabesh,Omid Sadeghi,Jamshid Gholizadeh Navashenaq,Safieh Firouzi,Mohsen Fathi Najafi,Mohammad Safarian,Majid Ghayour-Mobarhan +18 more
TL;DR:
Journal ArticleDOI
Association Between Nutrition Delivery, Modified Nutrition Risk In Critically III Score, and 28-Day Mortality.
Radha Reddy Chada,Sachin Chidrawar,Bhagyasri A. Goud,Anita Maska,Rajiv Medanki,Balakrishna Nagalla +5 more
TL;DR: Adequacy of energy and protein to ≥80% may shorten ICU/hospital LOS and reduce 28-day mortality among both high and low nutrition risk patients.
Journal ArticleDOI
Validation of the modified NUTRIC score on critically ill Jordanian patients: A retrospective study.
TL;DR: The mNUTRIC score obtained from the current retrospective data suggests that the use of the tool can truly identify and diagnose critically ill patients with malnutrition.
Dissertation
The Association between Nutritional Adequacy and Long-term Outcomes in Critically Ill Patients Requiring Prolonged Mechanical Ventilation
TL;DR: Thesis (Master, Community Health & Epidemiology) -- Queen's University, 2013-09-28 21:31:40.064
References
More filters
Book
Applied Logistic Regression
David W. Hosmer,Stanley Lemeshow +1 more
TL;DR: Hosmer and Lemeshow as discussed by the authors provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets.
Journal ArticleDOI
Applied Logistic Regression.
TL;DR: Applied Logistic Regression, Third Edition provides an easily accessible introduction to the logistic regression model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables.
Journal ArticleDOI
APACHE II: a severity of disease classification system.
TL;DR: The form and validation results of APACHE II, a severity of disease classification system that uses a point score based upon initial values of 12 routine physiologic measurements, age, and previous health status, are presented.
BookDOI
Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
TL;DR: In this article, the authors present a case study in least squares fitting and interpretation of a linear model, where they use nonparametric transformations of X and Y to fit a linear regression model.
Journal ArticleDOI
A note on a general definition of the coefficient of determination
TL;DR: In this article, a generalization of the coefficient of determination R2 to general regression models is discussed, and a modification of an earlier definition to allow for discrete models is proposed.
Related Papers (5)
Nutritional risk screening (NRS 2002): a new method based on an analysis of controlled clinical trials.
Early versus Late Parenteral Nutrition in Critically Ill Adults
Michael P Casaer,Dieter Mesotten,Greet Hermans,Pieter Wouters,Miet Schetz,Geert Meyfroidt,Sophie Van Cromphaut,Catherine Ingels,Philippe Meersseman,Jan Muller,Dirk Vlasselaers,Yves Debaveye,Lars Desmet,Jasperina Dubois,Aimé Van Assche,Simon Vanderheyden,Alexander Wilmer,Greet Van den Berghe +17 more