Fat mass prevalence and influence on nutritional status in ICU COVID-19 patients
Authors:
- Antonino De LorenzoALAntonino De Lorenzo
- Maria Grazia TarsitanoMTMaria Grazia Tarsitano
- Carmela FalconeCFCarmela Falcone
- Laura Di RenzoLaura Di Renzo
- Lorenzo RomanoLRLorenzo Romano
- Sebastiano MachedaSMSebastiano Macheda
- Anna FerrarelliAFAnna Ferrarelli
- Demetrio LabateDLDemetrio Labate
- Marco TescioneMTMarco Tescione
- Federico BilottaFBFederico Bilotta
- Paola GualtieriPaola Gualtieri
Preprint
- 8 June 2020
- preprint
- Published by Springer Nature in Research Square
Abstract
Background: Obesity and steatosis are associated with COVID-19 severe pneumonia. Elevated levels of pro-inflammatory cytokines and reduced immune response are typical of these patients. In particular, adipose tissue is the organ playing the crucial role. So, it is necessary to evaluate fat mass and not simpler body mass index (BMI), because BMI leaves a portion of the obese population unrecognized. The aim is to evaluate the relationship between FM% and immune-inflammatory response, after 10th days in ICU.Methods: Prospective observational study in single cohort of 22 adult patients, affected by COVID-19 pneumonia and admitted to the Intensive Care Unit (ICU) and classified (10) lean and (12) obese, according to Percentage of Fat Mass (FM%) and age (De Lorenzo classification). Patients were analyzed at admission in ICU and at 10th day.Results: Obese have steatosis, impaired hepatic function, compromise immune response and higher inflammation. In addition, they have a reduced prognostic nutritional index (PNI), nutritional survival index for ICU patients.Conclusion: This is the first study evaluating FM% in COVID-19 patient. We underlined obese characteristic with likely poorly prognosis and an important misclassification of obesity. A not negligible number of patients with normal BMI could actually have an excess of adipose tissue and therefore have an unfavorable outcome such as an obese. Is fundamental personalized patients nutrition basing on disease phases.Keywords
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