ArticleClinical nutrition ESPEN2022
The modified NUTRIC score (mNUTRIC) is associated with increased 28-day mortality in critically ill COVID-19 patients: Internal validation of a prediction model.
Article in Clinical nutrition ESPEN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Prognostic value of C-reactive protein levels in pulmonary infections: A systematic review and meta-analysis.Medicine · 2025Pooled it
- Risk of Malnutrition in Hospitalized COVID-19 Patients: A Systematic Review and Meta-Analysis.Nutrients · 2022Pooled it
- Assessing nutritional risk and its association with mortality in ICU patients using the modified NUTRIC score: evidence from a tertiary care hospital.Annals of medicine · 2026Article
- Added Value of Quadriceps Muscle Layer Thickness to modified Nutrition Risk in the Critically Ill (mNUTRIC) Score in Predicting Clinical Outcomes in Critically Ill Patients: A Prospective Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026Article
- Development and Interpretability Analysis of a Stacking Ensemble Model for Early Prediction of Nutritional Risk in Intensive Care Unit Patients: Retrospective Cohort Study.JMIR medical informatics · 2026Article
- Comparison of the NUTRIC, NUTRICm and NUTRICpcr scores in critically ill patients ventilated for COVID-19.Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2025Observational
- Prognostic Value of Minnesota Multiphasic Personality Inventory-2 (MMPI-2) Profiles in Predicting Outcomes of Occipital Nerve Stimulation for Refractory Chronic Migraine: A Retrospective Bias-Corrected Multivariable Analysis.Current pain and headache reports · 2025Review
- Article
- Bayesian Analysis of Modified Nutrition Risk in Critically Ill (mNUTRIC) Score for Mortality Prediction in Critically Ill Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
- The Utility of Muscle Ultrasound as a Predictor of Outcome in Guillain-Barré Syndrome Patients in the Intensive Care Unit: A Prospective Cohort Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
- Article
- Bridging the Gap: The Impact of Preoperative Nutritional Status and Inflammation in Postoperative Pain in Elderly Patients.Anesthesiology research and practice · 2025Article
- Effect of the modified NUTRIC score in predicting the prognosis of patients admitted to intensive care units.BMC anesthesiology · 2024Observational
- Transforaminal Steroid Injection After Dorsal Root Ganglion Pulsed Radiofrequency (DRG-PRF): Impact on Pain Intensity and Disability.Pain and therapy · 2024Article
- Modified NUTRIC Score as a Predictor of All-cause Mortality in Critically Ill Patients: A Systematic Review and Meta-analysis.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024Article
- External Validation of Prognostic Models in Critical Care: A Cautionary Tale From COVID-19 Pneumonitis.Critical care explorations · 2024Article
- Nutritional management in critically ill patients with COVID-19: a retrospective multicentre study.Anaesthesiology intensive therapy · 2024Observational
- Comparative analysis of six nutritional scores in predicting prognosis of COVID-19 patients.Frontiers in nutrition · 2024Article
- Prognostic values of modified NUTRIC score to assess outcomes in critically ill patients admitted to the intensive care units: prospective observational study.BMC anesthesiology · 2023Observational
- Factors Associated with Interruptions of Enteral Nutrition and the Impact on Macro- and Micronutrient Deficits in ICU Patients.Nutrients · 2023Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHigh prevalence of malnutrition was found in critically ill COVID-19 patients. The modified Nutrition Risk in the Critically ill (mNUTRIC) score is frequently used for nutritional risk assessment in intensive care unit (ICU) COVID-19 patients. The aim of this study was to investigate the role of mNUTRIC score to predict 28-day mortality in critically ill COVID-19 patients admitted to ICU.
methodsA cohort of consecutive COVID-19 critically ill patients admitted to ICU was retrospectively evaluated and the nutritional risk was assessed with the use of mNUTRIC score. A multivariable Cox regression model to predict 28-day mortality was therefore developed including the mNUTRIC as a covariate. Internal validation was performed using the bootstrap resampling technique to reduce possible bias in the estimated risks. The performance of the prediction model was assessed via calibration and discrimination.
resultsA total of 98 critically ill COVID-19 patients with a median age of 66 years (56-73 IQR), 81 (82.7%) males were included in this study. A high nutritional risk (mNUTRIC ≥5 points) was observed in 41.8% of our critically ill COVID-19 patients while a low nutritional risk (mNUTRIC <5 points) was observed in 58.2%. Forty-five patients (45.9%) died within 28 days after ICU admission. In multivariable model after internal validation, mNUTRIC ≥5 (optimism adjusted HR 2.38, 95% CI 1.08-5.25, p = 0.02) and high-sensitivity C-reactive protein values (CRP) (optimism adjusted HR 1.02, 95% CI 1.01-1.07, p = 0.005) were independent predictors of 28-day mortality.
conclusionsA high prevalence of malnutrition as revealed by mNUTRIC was found in our critically ill COVID-19 patients once admitted in ICU. After adjustment for covariables, mNUTRIC ≥5 and CRP levels were independently associated with 28-day mortality in critically ill COVID-19 patients. The final model revealed good discrimination and calibration. Nutritional risk assessment is essential for the management of critically ill COVID-19 patients as well as for outcome prediction.
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