INTRODUCTION: Patients with chronic diseases, such as diabetes and cardiovascular diseases, and old age, which are associated with a high risk of malnutrition and worse outcomes, are at a higher risk for developing the severe presentation of COVID-19. METHODS: This is an observational and cross-sectional study with a sample defined by convenience. Data were collected in adult inpatient units through information obtained via telephone contact with the patient/companion, records collected by the nursing staff, and medical records, tabulating demographics, body composition, previous illnesses, nutritional diagnoses, diet acceptance, and hospitalization outcomes. The following symptoms were observed: inappetence, smell, dysgeusia, odynophagia, nausea, vomiting, and diarrhea. RESULTS: Most deaths occurred after transfer to the intensive care unit (79.6%). Patients with the worst outcome had lower food intake with a cutoff point of 60% for diet acceptance, which seems to be an adequate discriminator between those who survived and those who did not. Gastrointestinal symptoms were significantly associated with food consumption below 60% of the planned goal. The symptoms most associated with lower energy intake were inappetence, dysgeusia, and nausea/vomiting. CONCLUSIONS: Reduced caloric intake and the presence of nutritional risk or its appearance during hospitalization seemed to be associated with mortality in patients with COVID-19 admitted outside the intensive care unit.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.