BMC Cardiovascular Disorders · 2023 · 42 citations · 39 references
AgricultureClinical SciencesNutritionCritical Care MedicineNutritional Support In Critical CareSurvival AnalysisCritical Care NutritionIntensive Care MedicineNutrition Status EvaluationNutritional AssessmentNutritional Status AssessmentPrognostic AssessmentBiochemical Nutritional MarkersCharlson Comorbidity IndexCox RegressionCritical Care Nutrition TherapyNutrition In Critical IllnessPrognostic Index DevelopmentPrognostic Marker AssessmentPrognostic Risk Assessment
BACKGROUND: Malnutrition is common in patients with acute myocardial infarction (AMI) and is associated with a poor prognosis. The prognostic value of the prognostic nutritional index (PNI) in patients with AMI remains controversial. We aimed to explore the relationship between PNI and all-cause mortality in critically ill patients with AMI and evaluate the incremental prognostic value of PNI to commonly used prognostic assessment tools. METHODS: The Medical Information Mart for Intensive Care-IV (MIMIC-IV) database was used to conduct a retrospective cohort analysis on 1180 critically ill patients with AMI. The primary endpoints were defined as 6-month and 1-year all-cause mortality. Cox regression analysis was used to investigate the relationship between admission PNI and all-cause mortality. The effect of adding PNI to sequential organ failure assessment (SOFA) score, or charlson comorbidity index (CCI) on its discriminative ability was assessed using C-statistic, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). RESULTS: Multivariate cox regression analysis demonstrated that the low PNI was regarded as an independent predictor of 1-year all-cause mortality in AMI patients admitted to ICU (adjusted Hazard Ratio: 95% CI = 1.75 (1.22-2.49)). The ROC test showed that admission PNI had a moderate predictive ability to predict all-cause mortality of critically ill patients with AMI. Furthermore, the net reclassification and integrated discrimination of the CCI alone model improved significantly with PNI. [C-statistic increased from 0.669 to 0.752, p < 0.001; NRI = 0.698, p < 0.001; IDI = 0.073, p < 0.001]. When PNI was added to the SOFA score, the C-statistic significantly improved from 0.770 to 0.805 (p < 0.001), and the NRI and IDI were estimated at 0.573 (p < 0.001) and 0.041 (p < 0.001), respectively. CONCLUSION: PNI could be a novel predictor for identifying patients at high risk of 1-year all-cause mortality in critically ill patients with AMI. The addition of PNI to the SOFA score or CCI may be useful for very early risk stratification.
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ESPEN guideline on clinical nutrition in the intensive care unit
Pierre Singer, Annika Reintam Blaser, Mette M. Berger et al. · Clinical Nutrition · 2018 · 2.8K citations · Full text
Daren K. Heyland, Rupinder Dhaliwal, Xuran Jiang et al. · Critical Care · 2011 · 851 citations · Full text