Nutritional Risk Screening Tools for Older Adults with COVID-19: A Systematic Review.
Identifieur interne : 000394 ( Main/Exploration ); précédent : 000393; suivant : 000395Nutritional Risk Screening Tools for Older Adults with COVID-19: A Systematic Review.
Auteurs : David Franciole Oliveira Silva [Brésil] ; Severina Carla Vieira Cunha Lima [Brésil] ; Karine Cavalcanti Mauricio Sena-Evangelista [Brésil] ; Dirce Maria Marchioni [Brésil] ; Ricardo Ney Cobucci [Brésil] ; Fábia Barbosa De Andrade [Brésil]Source :
- Nutrients [ 2072-6643 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen (MeSH), Appréciation des risques (MeSH), Betacoronavirus (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (complications), Infections à coronavirus (physiopathologie), Infections à coronavirus (virologie), Malnutrition (diagnostic), Malnutrition (virologie), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (complications), Pneumopathie virale (physiopathologie), Pneumopathie virale (virologie), Reproductibilité des résultats (MeSH), Sensibilité et spécificité (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), État nutritionnel (MeSH), Évaluation de l'état nutritionnel (MeSH), Évaluation gériatrique (MeSH).
- MESH :
- diagnostic : Malnutrition.
- physiopathologie : Infections à coronavirus, Pneumopathie virale.
- virologie : Infections à coronavirus, Malnutrition, Pneumopathie virale.
- complications : Adulte d'âge moyen, Appréciation des risques, Betacoronavirus, Femelle, Humains, Infections à coronavirus, Mâle, Pandémies, Pneumopathie virale, Reproductibilité des résultats, Sensibilité et spécificité, Sujet âgé, Sujet âgé de 80 ans ou plus, État nutritionnel, Évaluation de l'état nutritionnel, Évaluation gériatrique.
English descriptors
- KwdEn :
- Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (MeSH), Coronavirus Infections (complications), Coronavirus Infections (physiopathology), Coronavirus Infections (virology), Female (MeSH), Geriatric Assessment (MeSH), Humans (MeSH), Male (MeSH), Malnutrition (diagnosis), Malnutrition (virology), Middle Aged (MeSH), Nutrition Assessment (MeSH), Nutritional Status (MeSH), Pandemics (MeSH), Pneumonia, Viral (complications), Pneumonia, Viral (physiopathology), Pneumonia, Viral (virology), Reproducibility of Results (MeSH), Risk Assessment (MeSH), Sensitivity and Specificity (MeSH).
- MESH :
- complications : Coronavirus Infections, Pneumonia, Viral.
- diagnosis : Malnutrition.
- physiopathology : Coronavirus Infections, Pneumonia, Viral.
- virology : Coronavirus Infections, Malnutrition, Pneumonia, Viral.
- Aged, Aged, 80 and over, Betacoronavirus, Female, Geriatric Assessment, Humans, Male, Middle Aged, Nutrition Assessment, Nutritional Status, Pandemics, Reproducibility of Results, Risk Assessment, Sensitivity and Specificity.
Abstract
Coronavirus disease 2019 (COVID-19) is associated with high risk of malnutrition, primarily in older people; assessing nutritional risk using appropriate screening tools is critical. This systematic review identified applicable tools and assessed their measurement properties. Literature was searched in the MEDLINE, Embase, and LILACS databases. Four studies conducted in China met the eligibility criteria. Sample sizes ranged from six to 182, and participants' ages from 65 to 87 years. Seven nutritional screening and assessment tools were used: the Nutritional Risk Screening 2002 (NRS-2002), the Mini Nutritional Assessment (MNA), the MNA-short form (MNA-sf), the Malnutrition Universal Screening Tool (MUST), the Nutritional Risk Index (NRI), the Geriatric NRI (GNRI), and modified Nutrition Risk in the Critically ill (mNUTRIC) score. Nutritional risk was identified in 27.5% to 100% of participants. The NRS-2002, MNA, MNA-sf, NRI, and MUST demonstrated high sensitivity; the MUST had better specificity. The MNA and MUST demonstrated better criterion validity. The MNA-sf demonstrated better predictive validity for poor appetite and weight loss; the NRS-2002 demonstrated better predictive validity for prolonged hospitalization. mNUTRIC score demonstrated good predictive validity for hospital mortality. Most instruments demonstrate high sensitivity for identifying nutritional risk, but none are acknowledged as the best for nutritional screening in older adults with COVID-19.
DOI: 10.3390/nu12102956
PubMed: 32992538
Affiliations:
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(virology)</term><term>Middle Aged (MeSH)</term><term>Nutrition Assessment (MeSH)</term><term>Nutritional Status (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (complications)</term><term>Pneumonia, Viral (physiopathology)</term><term>Pneumonia, Viral (virology)</term><term>Reproducibility of Results (MeSH)</term><term>Risk Assessment (MeSH)</term><term>Sensitivity and Specificity (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen (MeSH)</term><term>Appréciation des risques (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Infections à coronavirus (complications)</term><term>Infections à coronavirus (physiopathologie)</term><term>Infections à coronavirus (virologie)</term><term>Malnutrition (diagnostic)</term><term>Malnutrition (virologie)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (complications)</term><term>Pneumopathie virale (physiopathologie)</term><term>Pneumopathie virale (virologie)</term><term>Reproductibilité des résultats (MeSH)</term><term>Sensibilité et spécificité (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>État nutritionnel (MeSH)</term><term>Évaluation de l'état nutritionnel (MeSH)</term><term>Évaluation gériatrique (MeSH)</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Malnutrition</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Malnutrition</term></keywords><keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Malnutrition</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term><term>Malnutrition</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Aged, 80 and over</term><term>Betacoronavirus</term><term>Female</term><term>Geriatric Assessment</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Nutrition Assessment</term><term>Nutritional Status</term><term>Pandemics</term><term>Reproducibility of Results</term><term>Risk Assessment</term><term>Sensitivity and Specificity</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Appréciation des risques</term><term>Betacoronavirus</term><term>Femelle</term><term>Humains</term><term>Infections à coronavirus</term><term>Mâle</term><term>Pandémies</term><term>Pneumopathie virale</term><term>Reproductibilité des résultats</term><term>Sensibilité et spécificité</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>État nutritionnel</term><term>Évaluation de l'état nutritionnel</term><term>Évaluation gériatrique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Coronavirus disease 2019 (COVID-19) is associated with high risk of malnutrition, primarily in older people; assessing nutritional risk using appropriate screening tools is critical. This systematic review identified applicable tools and assessed their measurement properties. Literature was searched in the MEDLINE, Embase, and LILACS databases. Four studies conducted in China met the eligibility criteria. Sample sizes ranged from six to 182, and participants' ages from 65 to 87 years. Seven nutritional screening and assessment tools were used: the Nutritional Risk Screening 2002 (NRS-2002), the Mini Nutritional Assessment (MNA), the MNA-short form (MNA-sf), the Malnutrition Universal Screening Tool (MUST), the Nutritional Risk Index (NRI), the Geriatric NRI (GNRI), and modified Nutrition Risk in the Critically ill (mNUTRIC) score. Nutritional risk was identified in 27.5% to 100% of participants. The NRS-2002, MNA, MNA-sf, NRI, and MUST demonstrated high sensitivity; the MUST had better specificity. The MNA and MUST demonstrated better criterion validity. The MNA-sf demonstrated better predictive validity for poor appetite and weight loss; the NRS-2002 demonstrated better predictive validity for prolonged hospitalization. mNUTRIC score demonstrated good predictive validity for hospital mortality. Most instruments demonstrate high sensitivity for identifying nutritional risk, but none are acknowledged as the best for nutritional screening in older adults with COVID-19.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32992538</PMID><DateCompleted><Year>2020</Year><Month>10</Month><Day>05</Day></DateCompleted><DateRevised><Year>2020</Year><Month>10</Month><Day>05</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2072-6643</ISSN><JournalIssue CitedMedium="Internet"><Volume>12</Volume><Issue>10</Issue><PubDate><Year>2020</Year><Month>Sep</Month><Day>27</Day></PubDate></JournalIssue><Title>Nutrients</Title><ISOAbbreviation>Nutrients</ISOAbbreviation></Journal><ArticleTitle>Nutritional Risk Screening Tools for Older Adults with COVID-19: A Systematic Review.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">E2956</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.3390/nu12102956</ELocationID><Abstract><AbstractText>Coronavirus disease 2019 (COVID-19) is associated with high risk of malnutrition, primarily in older people; assessing nutritional risk using appropriate screening tools is critical. This systematic review identified applicable tools and assessed their measurement properties. Literature was searched in the MEDLINE, Embase, and LILACS databases. Four studies conducted in China met the eligibility criteria. Sample sizes ranged from six to 182, and participants' ages from 65 to 87 years. Seven nutritional screening and assessment tools were used: the Nutritional Risk Screening 2002 (NRS-2002), the Mini Nutritional Assessment (MNA), the MNA-short form (MNA-sf), the Malnutrition Universal Screening Tool (MUST), the Nutritional Risk Index (NRI), the Geriatric NRI (GNRI), and modified Nutrition Risk in the Critically ill (mNUTRIC) score. Nutritional risk was identified in 27.5% to 100% of participants. The NRS-2002, MNA, MNA-sf, NRI, and MUST demonstrated high sensitivity; the MUST had better specificity. The MNA and MUST demonstrated better criterion validity. The MNA-sf demonstrated better predictive validity for poor appetite and weight loss; the NRS-2002 demonstrated better predictive validity for prolonged hospitalization. mNUTRIC score demonstrated good predictive validity for hospital mortality. Most instruments demonstrate high sensitivity for identifying nutritional risk, but none are acknowledged as the best for nutritional screening in older adults with COVID-19.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Silva</LastName><ForeName>David Franciole Oliveira</ForeName><Initials>DFO</Initials><Identifier Source="ORCID">0000-0003-0940-1356</Identifier><AffiliationInfo><Affiliation>Postgraduate Program in Collective Health, Federal University of Rio Grande do Norte-UFRN, Natal 59056-000, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lima</LastName><ForeName>Severina Carla Vieira Cunha</ForeName><Initials>SCVC</Initials><AffiliationInfo><Affiliation>Department of Nutrition, Federal University of Rio Grande do Norte-UFRN, Natal 59078-970, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sena-Evangelista</LastName><ForeName>Karine Cavalcanti Mauricio</ForeName><Initials>KCM</Initials><AffiliationInfo><Affiliation>Department of Nutrition, Federal University of Rio Grande do Norte-UFRN, Natal 59078-970, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Marchioni</LastName><ForeName>Dirce Maria</ForeName><Initials>DM</Initials><Identifier Source="ORCID">0000-0002-6810-5779</Identifier><AffiliationInfo><Affiliation>Department of Nutrition, School of Public Health, University of São Paulo-USP, São Paulo 05410-020, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cobucci</LastName><ForeName>Ricardo Ney</ForeName><Initials>RN</Initials><Identifier Source="ORCID">0000-0002-0184-2061</Identifier><AffiliationInfo><Affiliation>Postgraduate Program in Biotechnology, Potiguar University-UnP, Natal 59056-000, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Andrade</LastName><ForeName>Fábia Barbosa de</ForeName><Initials>FB</Initials><AffiliationInfo><Affiliation>Postgraduate Program in Collective Health, Federal University of Rio Grande do Norte-UFRN, Natal 59056-000, Brazil.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001</GrantID><Agency>This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D000078182">Systematic Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>27</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Nutrients</MedlineTA><NlmUniqueID>101521595</NlmUniqueID><ISSNLinking>2072-6643</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName><QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015577" MajorTopicYN="Y">Geriatric Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D044342" MajorTopicYN="N">Malnutrition</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015596" MajorTopicYN="Y">Nutrition Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009752" MajorTopicYN="N">Nutritional Status</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName><QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015203" MajorTopicYN="N">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012680" MajorTopicYN="N">Sensitivity and Specificity</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">coronavirus</Keyword><Keyword MajorTopicYN="N">elderly</Keyword><Keyword MajorTopicYN="N">malnutrition</Keyword><Keyword MajorTopicYN="N">nutritional assessment</Keyword><Keyword MajorTopicYN="N">nutritional risk</Keyword><Keyword MajorTopicYN="N">nutritional screening</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>08</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>09</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>09</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>30</Day><Hour>1</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>10</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>10</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32992538</ArticleId><ArticleId IdType="pii">nu12102956</ArticleId><ArticleId IdType="doi">10.3390/nu12102956</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Brésil</li></country><region><li>État de São Paulo</li></region><settlement><li>São Paulo</li></settlement></list><tree><country name="Brésil"><noRegion><name sortKey="Silva, David Franciole Oliveira" sort="Silva, David Franciole Oliveira" uniqKey="Silva D" first="David Franciole Oliveira" last="Silva">David Franciole Oliveira Silva</name></noRegion><name sortKey="Andrade, Fabia Barbosa De" sort="Andrade, Fabia Barbosa De" uniqKey="Andrade F" first="Fábia Barbosa De" last="Andrade">Fábia Barbosa De Andrade</name><name sortKey="Cobucci, Ricardo Ney" sort="Cobucci, Ricardo Ney" uniqKey="Cobucci R" first="Ricardo Ney" last="Cobucci">Ricardo Ney Cobucci</name><name sortKey="Lima, Severina Carla Vieira Cunha" sort="Lima, Severina Carla Vieira Cunha" uniqKey="Lima S" first="Severina Carla Vieira Cunha" last="Lima">Severina Carla Vieira Cunha Lima</name><name sortKey="Marchioni, Dirce Maria" sort="Marchioni, Dirce Maria" uniqKey="Marchioni D" first="Dirce Maria" last="Marchioni">Dirce Maria Marchioni</name><name sortKey="Sena Evangelista, Karine Cavalcanti Mauricio" sort="Sena Evangelista, Karine Cavalcanti Mauricio" uniqKey="Sena Evangelista K" first="Karine Cavalcanti Mauricio" last="Sena-Evangelista">Karine Cavalcanti Mauricio Sena-Evangelista</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= Nutritional Risk Screening Tools for Older Adults with COVID-19: A Systematic Review.
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