- Nutrition
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Association of nutrition risk screening 2002 and Malnutrition Universal Screening Tool with COVID-19 severity in hospitalized patients in Iran
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Ghazaleh Eslamian, Sohrab Sali, Mansour Babaei, Karim Parastouei, Dorsa Arman Moghadam
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Acute Crit Care. 2022;37(3):332-338. Published online July 5, 2022
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DOI: https://doi.org/10.4266/acc.2021.01830
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Abstract
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- Background
Malnutrition affects normal body function and is associated with disease severity and mortality. Due to the high prevalence of malnutrition reported in patients with coronavirus disease 2019 (COVID-19), the current study examined the association between malnutrition and disease severity in hospitalized adult patients with COVID-19 in Iran.
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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Citations
Citations to this article as recorded by
- Computational methods for studying relationship between nutritional status and respiratory viral diseases: a systematic review
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Hiroyo Miyata, Ayako Tsunou, Yoko Hokotachi, Teruyoshi Amagai Nutrients.2024; 16(14): 2327. CrossRef - Predictive value of multiple variable models including nutritional risk score (NRS 2002) on mortality and length of stay of patients with covid-19 infections. The INCOVO study
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