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Original Article
Meta-analysis
Comparison of mNUTRIC-S2 and mNUTRIC scores to assess nutritional risk and predict intensive care unit mortality
So Jeong Kim, Hong Yeul Lee, Sun Mi Choi, Sang-Min Lee, Jinwoo Lee
Acute Crit Care. 2022;37(4):618-626.   Published online October 18, 2022
DOI: https://doi.org/10.4266/acc.2022.00612
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  • 5 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary Material
Background
Nutritional status is associated with mortality. The modified Nutrition Risk in the Critically Ill (mNUTRIC) score is one of the most commonly used nutritional risk assessment tools in intensive care units (ICUs). The purpose of this study was to compare the mortality predictive ability of the mNUTRIC score to that of the mNUTRIC-S2 score, which uses the Simplified Acute Physiology Score (SAPS) II instead of the Acute Physiology and Chronic Health Evaluation (APACHE) II.
Methods
This retrospective cohort analysis included patients admitted to the ICU between January and September 2020. Each patient’s electronic medical records were reviewed. The model discrimination for predicting ICU mortality was assessed by the area under the receiver operating characteristic (ROC) curve, and a Cox regression model was performed to confirm the relationship between the groups and mortality.
Results
In total, 220 patients were enrolled. The ROC curve for predicting ICU mortality was 0.64 for the mNUTRIC score versus 0.67 for the mNUTRIC-S2 score. The difference between the areas was 0.03 (95% confidence interval [CI], –0.01 to 0.06; P=0.09). Patients with mNUTRIC-S2 score ≥5 had a greater risk of ICU mortality (hazard ratio [HR], 3.64; 95% CI, 1.85–7.14; P<0.001); however, no such relationship was observed with mNUTRIC score (HR, 1.69; 95% CI, 0.62–4.62; P=0.31).
Conclusions
The mNUTRIC-S2 score was significantly associated with ICU mortality. A cutoff score of 5 was selected as most appropriate.

Citations

Citations to this article as recorded by  
  • Comparative prognostic performance of nutritional assessment tools in critically ill surgical patients after emergency surgery for sepsis or septic shock: a single-center retrospective study in South Korea
    Sung Bak An, Dong Woo Shin
    Acute and Critical Care.2026; 41(2): 399.     CrossRef
  • Bayesian Analysis of Modified Nutrition Risk in Critically Ill (mNUTRIC) Score for Mortality Prediction in Critically Ill Patients
    Raj Kumar, Archana Kumari, Vivek Verma, Jay Prakash, Pradip K Bhattacharya, Shio Priye, Khushboo Saran, Kunal Raj, Bram Rochwerg
    Indian Journal of Critical Care Medicine.2025; 29(5): 449.     CrossRef
  • Comparison of mNUTRIC Score and mnutric Score with Albumin in Predicting Outcome in CKD Patients
    Venkatesh Dhat, Jainab Bhori, Manish Mali, Mahesh R Jarkad, Aishwarya Chavan, Tushar Warke
    Indian Journal of Critical Care Medicine.2025; 29(S1): S259.     CrossRef
  • Predictive value of the mNUTRIC score and survival analysis in critically-ill patients hospitalized in the intensive care unit: A prospective observational study
    Harun Tolga Duran, Osman Özgür Kilinç
    Medicine.2025; 104(44): e45645.     CrossRef
  • Association between nutritional risk scores and timing of endotracheal intubation in COVID-19-associated acute respiratory distress syndrome: a single-center cohort study in South Korea
    Hyojin Jang, Wanho Yoo, Kwangha Lee
    Acute and Critical Care.2025; 40(4): 538.     CrossRef
  • Association of malnutrition status with 30-day mortality in patients with sepsis using objective nutritional indices: a multicenter retrospective study
    Moon Seong Baek, Young Suk Kwon, Sang Soo Kang, Daechul Shim, Youngsang Yoon, Jong Ho Kim
    Acute and Critical Care.2024; 39(1): 127.     CrossRef
  • Modified NUTRIC Score as a Predictor of All-cause Mortality in Critically Ill Patients: A Systematic Review and Meta-analysis
    Amit Kumar, Archana Kumari, Jay Prakash, Pradip K Bhattacharya, Saket Verma, Priyanka Shrivastava, Khushboo Saran, Kunal Raj, Hemant N Ray
    Indian Journal of Critical Care Medicine.2024; 28(5): 495.     CrossRef

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