Influence of Nutritional Indices on the Prognosis of Patients With SARS-CoV-2 Infection

Overview

With the decline of virulence after the mutation of the SARS-CoV-2 , based on the national life and health and national development needs, the domestic SARS-CoV-2 infection epidemic prevention policy has changed, and the number of people infected by the SARS-CoV-2 has increased. Nutritional status is an indicator of human health and plays an important role in fighting disease. Malnutrition has been found to correlate with prognosis in patients infected with the SARS-CoV-2 infection . Timely identification and assessment of the patient's nutritional status and early implementation of relevant nutritional intervention are conducive to the recovery of the patient's condition. In clinical practice, it is necessary to improve nutrition as an aspect of the comprehensive diagnosis and treatment of patients with SARS-CoV-2 infection, but there is still a lack of relevant nutritional indicators or models to simply and accurately assess the nutritional status of patients.The purpose of this study was to evaluate the effects of PNI, NRI, GNRI, albumin level, vitamin D, chest muscle area and density on the clinical characteristics and prognosis of patients with SARS-CoV-2 infection, to find the nutritional predictors of severe disease in patients with SARS-CoV-2 infection, and to establish a simpler and more accurate nutritional evaluation model. To provide evidence for targeted nutritional interventions in patients with SARS-CoV-2 infection.

Patients with SARS-CoV-2 infection attending the Second Affiliated Hospital of Chongqing Medical University were included in the retrospective study. Participants met the inclusion and exclusion criteria. Data to be collected include age, sex, height, and weight at initial treatment; Blood routine, liver function, kidney function, coagulation function, electrolytes, vitamin D, C-reactive protein, ferritin; CT and MRI information; Underlying diseases, complications, treatment options, etc. Follow up patients until discharge or death. After the data collection, statistical methods such as chi-square test and logistic regression analysis were used to evaluate the impact of nutritional factors on the prognosis of patients infected with SARS-CoV-2 infection.

Conditions