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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
Weak association between urea-creatinine ratio and c-reactive protein with nutritional risk in hospitalized patients
Jefferson S Souza1, Bruna M Giglio1, Patrícia C B Lobo1
1Faculty of Nutrition, Federal University of Goiás, Goiânia, Brazil.
Background:
COVID-19 is a systemic infection with a significant impact on nutrition risk and the hematopoietic system. The neutrophil-lymphocyte ratio (NLR) may have prognostic value in determining severe cases of COVID-19 and the urea-creatinine ratio (UCR) is currently being studied as a potential biomarker of catabolism associated with critical illness. The aim was to assess the association between the NLR, UCR and C-reactive protein (CRP) with nutritional risk in hospitalized patients with COVID-19.
Methods:
This is a retrospective cross-sectional study that assessed 589 hospitalized patients with COVID-19, 18 years of age or older, of both sexes. Nutritional risk was assessed by Nutritional Risk Screening (NRS, 2002) and NLR by neutrophils divided by lymphocyte count. The UCR was calculated by the ratio between urea and creatinine and quantified by the calorimetric biochemical method and CRP by the immunoturbidimetric method. Differences between groups were applied by the Mann-Whitney U test and the automated binary regression test.
Results:
Of the 589 patients, 87.4% were at nutritional risk. When evaluating patients admitted to the ICU, 91.9% were at nutritional risk. Patients with NRS ≥3 are older, with lower body mass and BMI, higher NLR and UCR and lower CRP values. However, 73% of patients admitted to the ward were at nutritional risk, and only age differed between groups, being higher in patients with NRS ≥3. Logistic regression showed a weak association between nutritional risk in NRS and UCR (Model 1) (OR = 0.96, 95%CI: 0.94-0.99, p = 0.003) and NRS with CRP (Model 1) (OR = 1.01, 95%CI: 1.00-1.02, p < 0.001) in patients in the ICU. On the other hand, the logistic regression in ward patients found association only for CRP in both models (Model 1, OR = 1.01, 95%CI: 1.00-1.01, p = 0.041) and (Model 2, OR = 1.01, 95%CI: 1.00-1.01, p = 0.031).
Conclusion:
We found a weak association between nutritional risk and UCR and CRP levels in patients admitted to the ICU, while in the ward patients the nutritional risk also had weak association with CRP.
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