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. 2023 Jun:55:357-363.
doi: 10.1016/j.clnesp.2023.04.001. Epub 2023 Apr 11.

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

Ghadamieh Fatemeh  1 , Ginette Fotsing  2 , Pedro Marques-Vidal  3 , Peter Kopp  4 , Mohammed Barigou  5
Affiliations

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

Ghadamieh Fatemeh et al. Clin Nutr ESPEN. 2023 Jun.

Abstract

Background and aims: This study aimed at evaluating associations between nutritional status and outcomes in patients with Covid-19 and to identify statistical models including nutritional parameters associated with in-hospital mortality and length of stay.

Methods: Data of 5707 adult patients hospitalized in the University Hospital of Lausanne between March 2020 and March 2021 were screened retrospectively 920 patients (35% female) with confirmed Covid-19 and complete data including nutritional risk score (NRS 2002), were included. This cohort was divided into three subgroups: NRS <3: no risk of malnutrition; NRS ≥3 to <5: moderate risk malnutrition; and NRS ≥5: severe risk of malnutrition. The primary outcome was the percentage of in-hospital deaths in the different NRS subgroups. The secondary outcomes were the length of hospital stay (LOS), the percentage of admissions to intensive care units (ICU), and the length of stay in the ICU (ILOS). Logistic regression was performed to identify risk factors associated with in-hospital mortality and hospital stay. Multivariate clinical-biological models were developed to study predictions of mortality and very long length of stay.

Results: The mean age of the cohort was 69.7 years. The death rate was 4 times higher in the subgroup with a NRS ≥ 5 (44%), and 3 times higher with a NRS ≥ 3 to <5 (33%) compared to the patients with a NRS<3 (10%) (p < 0.001). LOS was significantly higher in the NRS ≥ 5 and NRS ≥ 3 to <5 subgroups (26.0 days; CI [21; 30.9]; and 24.9; CI [22.5; 27.1] respectively) versus 13.4; CI [12; 14.8] for NRS<3 (p < 0.001). The mean ILOS was significantly higher in the NRS ≥ 5 (5.9 days; versus 2.8 for NRS ≥ 3 to <5, and 1.58 for NRS<3 (p < 0.001)). In logistic regression, NRS ≥ 3 was significantly associated with the risk of mortality (OR: 4.8; CI [3.3; 7.1]; p < 0.001) and very long in-hospital stay (>12 days) (OR: 2.5; CI [1.9; 3.3]; p < 0.001). Statistical models that included a NRS ≥ 3 and albumin revealed to be strong predictors for mortality and LOS (area under the curve 0.800 and 0.715).

Conclusion: NRS was found to be an independent risk factor for in-hospital death and LOS in hospitalized Covid-19 patients. Patients with a NRS ≥ 5 had a significant increase in ILOS and mortality. Statistical models including NRS are strong predictors for an increased risk of death and LOS.

Keywords: COVID-19; Length of hospital stay; Mortality; Nutritional risk score (NRS); Nutritional status; Sars-CoV-2.

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Conflict of interest statement

Declaration of competing interest The authors declare no conflict of interest.

Figures

Fig. 1
Fig. 1
Study flowchart.
Fig. 2
Fig. 2
Mortality rate according to the NRS (NRS < 3, NRS ≥ 3 to <5, NRS ≥ 5) (n = 920).
Fig. 3
Fig. 3
Hospital admission rate, ICU admission rate, and in-hospital mortality according to NRS (NRS < 3, NRS ≥ 3 to <5, NRS ≥ 5) (n = 920).
Fig. 4
Fig. 4
Hospital length of stay and ICU length of stay according to the NRS (NRS < 3, NRS ≥ 3 to <5, NRS ≥ 5) (n = 920).
Fig. 5
Fig. 5
ROC analysis evaluating the predictive value of Statistical models 1, 2 and 3 for mortality (a) and Long hospital stay >12 days (b).
See this image and copyright information in PMC

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