Use of mNUTRIC-Score for Nutrition Risk Assessment and Prognosis Prediction in Critically Ill Patients with COVID-19: A Retrospective Observational Study (original) (raw)
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BMC Nutrition
Background COVID-19 is a very harmful pandemic, and its recovery process is highly influenced by nutritional status; however, an appropriate nutritional scale has not yet been proposed for these patients. Therefore, the purpose of this study was to evaluate the effectiveness of the modified Nutrition Risk in the Critically ill (mNUTRIC) score in critically ill patients affected by COVID-19 admitted to the intensive care unit (ICU). Material and methods This was a cross-sectional study performed on 204 critically ill patients affected by COVID-19 admitted to the ICU wards. Evaluated indicators include the mNUTRIC Score as well as demographic, and biochemical indicators. Results A high percentage of COVID-19 patients (67.2%) had severe disease. Hospital and ICU stay (p > 0.001) and PH (p > 0.001) values were significantly lower in non-survivors than in survivors. mNUTRIC score (p > 0.001), PCO2 (p = 0.003), and CRP levels (p = 0.021) were significantly higher in non-survivors...
Nutrients
Background: Malnutrition predicts a worse outcome for critically ill patients. However, quick, easy-to-use nutritional risk assessment tools have not been adequately validated. Aims and Methods: The study aimed to evaluate the role of four biological nutritional risk assessment instruments (the Prognostic Nutritional Index—PNI, the Controlling Nutritional Status Score—CONUT, the Nutrition Risk in Critically Ill—NUTRIC, and the modified NUTRIC—mNUTRIC), along with CT-derived fat tissue and muscle mass measurements in predicting in-hospital mortality in a consecutive series of 90 patients hospitalized in the intensive care unit for COVID-19-associated ARDS. Results: In-hospital mortality was 46.7% (n = 42/90). Non-survivors had a significantly higher nutritional risk, as expressed by all four scores. All scores were independent predictors of mortality on the multivariate regression models. PNI had the best discriminative capabilities for mortality, with an area under the curve (AUC) o...
Journal of Emergency Medicine, Trauma and Acute Care
Background: Till date, there is no consensus reached on the foremost tool for identifying the propensity of risk in critically sick patients. In this study, we plan to assess the nutritional risk in critically ill patients admitted to the medical ICU using the modified nutrition risk in critically ill (mNUTRIC) score and to anticipate the outcome in terms of overall mortality, 72-hour mortality, and the use of mechanical ventilation. Method: A total of 1,990 patients were analyzed by calculating their mNUTRIC scores using various variables, which were a part of the scoring system, such as age, a thorough history and clinical examination, and pre-existing comorbidities. Group differences were compared using the t-test or the Wilcoxon test for continuously distributed data and the chi-squared test for categorical data. Results: In this study, the mean age of the patients were 50.48^17.58 years. Of them, 395 died while 1,595 survived; and 799 had a high ($ 6) mNUTRIC score, and 1191 had a low (# 5) mNUTRIC score. The area under the curve for mNUTRIC score in predicting overall mortality and 72-hour mortality was 0.938 and 0.89, respectively, thus demonstrating better diagnostic performance. Conclusion: The discriminative performance of mNUTRIC scores for assessing overall mortality and the need for mechanical ventilation was found to be effective in this study.
Journal of the Association of Physicians of India
Background: Critically ill (CI) patients, especially those requiring mechanical ventilation (MV) are at a higher risk of malnutrition, which in turn is associated with increased hospitalization and excess mortality. The modified Nutrition Risk in Critically Ill (mNUTRIC) score, a predictor of mortality, has not been validated adequately in CI Indian patients. Thus, this study evaluated the mNUTRIC score as a prognostic marker of morbidity and mortality in CI patients requiring MV. Materials and methods: This prospective observational study was performed, between January 2018 and June 2019, in the intensive critical care unit (ICCU) of the medicine department of a tertiary care hospital. A total of 250 patients aged above 12 years, admitted in ICCU, and requiring MV for >48 hours were included. Based on the data collected, mNUTRIC score was calculated and patients were classified as at low (0-4) and high (5-9) nutritional risk. Mortality was the outcome variable. Results: More than a quarter of patients had a high mNUTRIC score (28.4%) and the overall mortality was 35.6%. A significantly greater proportion of non-survivors had a high mNUTRIC score (p-value < 0.0001). Likewise, the mean Acute Physiology and Chronic Health Evaluation II (APACHE II) score, Sequential Organ Failure Assessment (SOFA) score, and mNUTRIC score (all p-values < 0.0001) were significantly higher among the non-survivors than the survivors. On receiver operator characteristic (ROC) curve analysis, a cutoff value of >2 predicted mortality [area under the curve (AUC): 0.83; 95% confidence interval: 0.778-0.874] with a sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 80.9, 76.4, 65.5, and 87.9%, respectively. Conclusion: At a cutoff of >2, mNUTRIC score had high sensitivity and specificity in the prediction of mortality.
Cureus, 2018
Typical nutritional assessment criteria and screening tools are ineffective in mechanically ventilated patients who are often unable to report their food intake history. The Nutrition Risk in Critically Ill (NUTRIC) score is effective for screening mechanically ventilated patients. This prospective observational study was conducted to identify nutritional risk in mechanically ventilated patients using a modified NUTRIC (mNUTRIC) score (without using interleukin-6 values). Methods All adult patients admitted to the intensive care unit (ICU) for more than 48 hours were included in the study. Data were collected on the variables required to calculate mNUTRIC scores. Patients with mNUTRIC scores ≥5 were considered at high nutritional risk. The assessment data included total ICU length of stay, ventilator-free days, and mortality rates. Results and conclusion A total of 75 patients fit the inclusion criteria of the study, including 40 males and 35 females. The mean age was 55.8 years. Forty-five percent of mechanically ventilated patients had mNUTRIC scores ≥5. Mechanically ventilated patients with mNUTRIC scores ≥5 had longer lengths of stay in the ICU (mean ± SD = 11.5±5 days) as compared with 3.5±4 days in patients with mNUTRIC scores ≤4. Moreover, a higher mortality rate (26%) was observed in patients with mNUTRIC scores ≥5. A high mNUTRIC predicted mortality score shows a receiver operating characteristic curve of 0.637 with a confidence interval between 0.399 and 0.875. Forty-five percent of mechanically ventilated patients admitted to the ICU were at nutritional risk, and their mNUTRIC scores were directly related to higher lengths of stay and mortality.
BMC Anesthesiology, 2023
Purpose Modified Nutrition Risk in the Critically Ill (NUTRIC) score (mNUTRIC score) have been validated as screening tool for quantifying risk of adverse outcome critically ill patients admitted to the intensive care units (ICUs). The aim of this study was to evaluate the prognostic value of mNUTRIC score to assess outcomes in this population. Materials and methods This prospective, observational study was conducted on adult patients admitted to the general ICUs of two university affiliated hospital in northwest of Iran. The association between the mNUTRIC score and outcomes was assessed using the univariate and multivariate binary logistic regression. The performance of mNUTRIC score to predict outcomes was assessed using the receiver operating characteristic (ROC)-curve. Results In total 445 ICU patients were enrolled. Based on mNUTRIC score, 62 (13.9%) and 383 (86.1%) individuals were identified at high and low nutritional risk, respectively. The area under the curve (AUC) for predicting ICU mortality, using vasopressor, duration of vasopressor, and mechanical ventilation (MV) duration were (AUC: 0.
Use of 3 Tools to Assess Nutrition Risk in the Intensive Care Unit
Journal of Parenteral and Enteral Nutrition, 2014
Background: Identifying patients at nutrition risk proves difficult in the intensive care unit (ICU) due to the nature of critical illness. No consensus exists on the most appropriate method to identify these patients. Traditional screens and assessments are often limited due to their subjective nature. The purpose of the quality improvement project was to compare proportions of ICU patients deemed at nutrition risk using 3 different tools. Material and Methods: A convenience sample of 294 patients admitted to the ICU was used. Patients were assessed using the institution's routine nutrition screening method, the Subjective Global Assessment (SGA), and the NUTrition Risk in Critically ill (NUTRIC) score. Information was collected on demographics, severity of illness, hospital and ICU length of stay (LOS), and disposition. Descriptive statistics were used to examine counts/proportions of risk categories; means ± SD were used to summarize demographic and clinical variables. Results: A total of 139 patients (47%) were deemed at nutrition risk or malnourished by at least 1 tool. Patients identified were older and had a lower body mass index, more weight loss, more fat and muscle wasting, more fluid accumulation, and lower average handgrips than those not at nutrition risk; they also had longer hospital and ICU LOS, higher rates of requiring further rehabilitation upon discharge, and higher mortality during hospitalization. Conclusion: Traditional screening and assessment tools did not uniformly identify patients as malnourished or at nutrition risk in the ICU and therefore may be inappropriate for use in this population. Inclusion of physical assessment, functional status, and severity of illness may be useful in predicting nutrition risk in the ICU.