Evidence Hub

The Effects of Enteral Nutrition in Critically Ill Patients with COVID-19: A Systematic Review and Meta-Analysis

O. Ojo, O. Ojo, Qianqian Feng, J. Boateng, Xiao-Hua Wang, J. Brooke, A. Adegboye

Nutrients, 2022

38 citations

Abstract

Background: Patients who are critically ill with COVID-19 could have impaired nutrient absorption due to disruption of the normal intestinal mucosa. They are often in a state of high inflammation, increased stress and catabolism as well as a significant increase in energy and protein requirements. Therefore, timely enteral nutrition support and the provision of optimal nutrients are essential in preventing malnutrition in these patients. Aim: This review aims to evaluate the effects of enteral nutrition in critically ill patients with COVID-19. Method: This systematic review and meta-analysis was conducted based on the preferred reporting items for systematic review and meta-Analysis framework and PICO. Searches were conducted in databases, including EMBASE, Health Research databases and Google Scholar. Searches were conducted from database inception until 3 February 2022. The reference lists of articles were also searched for relevant articles. Results: Seven articles were included in the systematic review, and four articles were included in the meta-analysis. Two distinct areas were identified from the results of the systematic review and meta-analysis: the impact of enteral nutrition and gastrointestinal intolerance associated with enteral nutrition. The impact of enteral nutrition was further sub-divided into early enteral nutrition versus delayed enteral nutrition and enteral nutrition versus parenteral nutrition. The results of the meta-analysis of the effects of…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free