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Curr Opin Clin Nutr Metab Care ; 24(3): 229-235, 2021 05 01.
Article in English | MEDLINE | ID: covidwho-1080974

ABSTRACT

PURPOSE OF REVIEW: This manuscript reviews evidence collected during COVID-19 pandemic and provides information on the impact of body composition on severity and outcomes of the disease, analysing methods used for body composition assessment. Malnutrition-screening tools will also be discussed to screen and diagnose the patients at higher risk of COVID-19 severity and related worse outcomes. RECENT FINDINGS: COVID-19 can occur in a wide range of presentation, from asymptomatic to severe forms. Among the major risk factors for worse severity, overnutrition, undernutrition and body composition play a role in the ability to respond to SARS-CoV-2 infection. Excess fat accumulation (i.e. obesity) or lean mass loss and functionality (i.e. sarcopenia) or a combination of both (i.e. sarcopenic obesity) can affect whole-body functioning. These body composition alterations in the short-term can influence susceptibility and immunological responses to the virus, inflammatory reaction, metabolic and respiratory distress, while in the long-term can modulate disease outcomes, namely length of stay, time required for recovery, risk of ICU-acquired weakness and long-term disabilities, and potentially increase the risk of death. SUMMARY: Individuals with malnutrition, sarcopenia, obesity, sarcopenic obesity and older adults with abnormal body composition or malnutrition risk may require tailored medical nutrition therapy to improve short and long-term COVID-19 outcomes.


Subject(s)
Body Composition , COVID-19/physiopathology , Malnutrition/virology , Nutritional Status , SARS-CoV-2 , Adult , Aged , Aged, 80 and over , COVID-19/complications , COVID-19/virology , Female , Humans , Male , Malnutrition/physiopathology , Middle Aged , Nutrition Therapy , Obesity/physiopathology , Obesity/virology , Overnutrition/physiopathology , Overnutrition/virology , Sarcopenia/physiopathology , Sarcopenia/virology , Severity of Illness Index
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