Background Malnutrition is prevalent in critically ill patients. Although various nutritional assessment tools are used in intensive care units (ICUs), their comparative prognostic performance in critically ill surgical patients requiring postoperative ICU care after emergency surgery for sepsis or septic shock remains uncertain. We compared the performance of four tools in predicting ICU mortality. Methods: We retrospectively analyzed 218 adult critically ill surgical patients requiring postoperative ICU care after emergency surgery for sepsis or septic shock (January 2015–July 2025). Nutritional status was assessed within 24 hours of ICU admission using the Global Leadership Initiative on Malnutrition (GLIM), modified Nutrition Risk in the Critically Ill (mNUTRIC), Nutritional Risk Screening 2002 (NRS-2002), and Malnutrition Universal Screening Tool (MUST). The primary outcome was ICU mortality. Discriminative performance was evaluated using the area under the receiver operating characteristic curve and incremental value over a baseline model (age, sex, Acute Physiology and Chronic Health Evaluation [APACHE] II score, and Sequential Organ Failure Assessment [SOFA] score). Results: The mNUTRIC score showed the highest crude discrimination for ICU mortality, followed by MUST and GLIM, whereas NRS-2002 demonstrated limited discriminatory ability. When added to the baseline clinical model, MUST and GLIM improved mortality prediction, unlike mNUTRIC. Higher risk categories in MUST and GLIM were associated with increased ICU mortality. Conclusions: Prognostic performance varies among nutritional assessment tools. MUST and GLIM provide prognostic information beyond conventional severity scores, whereas the prognostic value of mNUTRIC is largely driven by disease severity, supporting their use for risk stratification in critically ill surgical patients.
Background The Controlling Nutritional Status (CONUT) score and the prognostic nutritional index (PNI) have emerged as important nutritional indices because they provide an objective assessment based on data. We aimed to investigate how these nutritional indices relate to outcomes in patients with sepsis.
Methods Data were collected retrospectively at five hospitals for patients aged ≥18 years receiving treatment for sepsis between January 1, 2017, and December 31, 2021. Serum albumin and total cholesterol concentrations, and peripheral lymphocytes were used to calculate the CONUT score and PNI. To identify predictors correlated with 30-day mortality, analyses were conducted using univariate and multivariate Cox proportional hazards models.
Results The 30-day mortality rate among 9,763 patients was 15.8% (n=1,546). The median CONUT score was 5 (interquartile range [IQR], 3–7) and the median PNI score was 39.6 (IQR, 33.846.4). Higher 30-day mortality rates were associated with individuals with moderate (CONUT score: 5–8; PNI: 35–38) or severe (CONUT: 9–12; PNI: <35) malnutrition compared with those with no malnutrition (CONUT: 0–1; PNI: >38). With CONUT scores, the hazard ratio (HR) associated with moderate malnutrition was 1.52 (95% confidence interval [CI], 1.24–1.87; P<0.001); for severe, HR=2.42 (95% CI, 1.95–3.02; P<0.001). With PNI scores, the HR for moderate malnutrition was 1.29 (95% CI, 1.09–1.53; P=0.003); for severe, HR=1.88 (95% CI, 1.67–2.12; P<0.001).
Conclusions The nutritional indices CONUT score and PNI showed significant associations with mortality of sepsis patients within 30 days.
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Methods In this prospective observational study, 203 adult patients with COVID-19 verified by real-time polymerase chain reaction test and chest computed tomography were recruited from those admitted to a university hospital in Iran. To determine COVID-19 intensity, patients were categorized into four groups. Malnutrition assessment was based on the Malnutrition Universal Screening Tool (MUST) and nutrition risk screening score (NRS-2002). An ordinal regression model was run to assess the association between malnutrition and disease severity.
Results In the studies sample of Iranian patients with COVID-19, 38.3% of patients had severe COVID-19. According to NRS-2002, 12.9% of patients were malnourished. Based on MUST, 2% of patients were at medium, and 13.4% of patients were at high risk of malnutrition. Malnutrition was associated with a higher odds of extremely severe COVID-19 according to NRS-2002 (odds ratio, 1.38; 95% confidence interval, 0.21–2.56; P=0.021).
Conclusions Malnutrition was not prevalent in the studies sample of Iranian patients with COVID-19; however, it was associated with a higher odds of extremely severe COVID-19.
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