Author: Wei, Chenchen; Liu, Ya; Li, Yu; Zhang, Yi; Zhong, Ming; Meng, Xiao
Title: Evaluation of the nutritional status in patients with COVID-19 Cord-id: bzyzvnhc Document date: 2020_8_6
ID: bzyzvnhc
Snippet: COVID-19 has been a global health threat. We aimed to investigate the nutrition status of COVID-19 patients and evaluate the prognostic value of the controlling nutritional status (CONUT) score in these patients. 348 severe patients with COVID-19 were collected. Based on the CONUT score, 161 (46.3%) patients had mild malnutrition while 139 (39.9%) patients had moderate-severe malnutrition. Compared to the patients in normal and mild groups, the patients in moderate-severe group were older, more
Document: COVID-19 has been a global health threat. We aimed to investigate the nutrition status of COVID-19 patients and evaluate the prognostic value of the controlling nutritional status (CONUT) score in these patients. 348 severe patients with COVID-19 were collected. Based on the CONUT score, 161 (46.3%) patients had mild malnutrition while 139 (39.9%) patients had moderate-severe malnutrition. Compared to the patients in normal and mild groups, the patients in moderate-severe group were older, more male, had higher counts of white blood cell and neutrophil as well as higher serum levels of C-reactive protein. Nearly half of patients (44.6%) in moderate-severe group developed acute cardiac injury, while 6.3% and 15.5% patients in normal and mild group, respectively. Patients with moderate-severe malnutrition exhibited a higher mortality than those patients with normal and mild malnutrition. Multivariate regression analysis showed the CONUT score was the independent predictor of death in patients with COVID-19 (odds ratio: 1.410; 95%CI: 1.089–1.825; p = 0.009). Malnutrition is significantly associated with poor outcome of COVID-19, while the prognosis of patients with normal nutrition status is relative favorable. The CONUT score independently predicts the prognosis of COVID-19 patients, which can help physicians to clarify patients with poor prognosis.
Search related documents:
Co phrase search for related documents- acute ards respiratory distress syndrome and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
- acute ards respiratory distress syndrome and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
- acute ards respiratory distress syndrome and low density: 1, 2, 3, 4, 5, 6, 7
- acute ards respiratory distress syndrome and low density lipoprotein cholesterol: 1
- acute cardiac injury and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17
- acute cardiac injury and logistic regression analysis: 1, 2, 3, 4, 5, 6
- acute cardiac injury and low density: 1
- acute cardiac injury and low density lipoprotein cholesterol: 1
- admission calculate and logistic regression: 1, 2, 3
- logistic regression analysis and low albumin level: 1, 2
- logistic regression analysis and low density: 1, 2, 3, 4, 5, 6, 7, 8, 9
- logistic regression analysis and low density lipoprotein cholesterol: 1, 2, 3, 4, 5, 6, 7
- logistic regression and low albumin level: 1, 2, 3, 4
- logistic regression and low density: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- logistic regression and low density lipoprotein cholesterol: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
- logistic regression model and low albumin level: 1
Co phrase search for related documents, hyperlinks ordered by date