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<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2658-6533</journal-id><journal-title-group><journal-title>Research Results in Biomedicine</journal-title></journal-title-group><issn pub-type="epub">2658-6533</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2658-6533-2023-9-4-0-8</article-id><article-id pub-id-type="publisher-id">3250</article-id><article-categories><subj-group subj-group-type="heading"><subject>Medicine (miscellaneous)</subject></subj-group></article-categories><title-group><article-title>&lt;strong&gt;Assessment of malnutrition risk in post-stroke patients: a systematic literature review&lt;/strong&gt;</article-title><trans-title-group xml:lang="en"><trans-title>&lt;strong&gt;Assessment of malnutrition risk in post-stroke patients: a systematic literature review&lt;/strong&gt;</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Mancin</surname><given-names>Stefano</given-names></name><name xml:lang="en"><surname>Mancin</surname><given-names>Stefano</given-names></name></name-alternatives><email>stefano.mancin@humanitas.it</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Sguanci</surname><given-names>Marco E.</given-names></name><name xml:lang="en"><surname>Sguanci</surname><given-names>Marco E.</given-names></name></name-alternatives><email>sguancim@gmail.com</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Reggiani</surname><given-names>Francesco</given-names></name><name xml:lang="en"><surname>Reggiani</surname><given-names>Francesco</given-names></name></name-alternatives><email>francesco.reggiani@hunimed.eu</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Vecchio</surname><given-names>Francesca</given-names></name><name xml:lang="en"><surname>Vecchio</surname><given-names>Francesca</given-names></name></name-alternatives><email>francesca.vecchio@humanitas.it</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Piredda</surname><given-names>Michela</given-names></name><name xml:lang="en"><surname>Piredda</surname><given-names>Michela</given-names></name></name-alternatives><email>m.piredda@unicampus.it</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>De Marinis</surname><given-names>Maria G.</given-names></name><name xml:lang="en"><surname>De Marinis</surname><given-names>Maria G.</given-names></name></name-alternatives><email>m.demarinis@policlinicocampus.it</email></contrib></contrib-group><pub-date pub-type="epub"><year>2023</year></pub-date><volume>9</volume><issue>4</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/medicine/2023/4/НР_Медицина-108-127.pdf" /><abstract xml:lang="ru"><p>Background: Stroke is one of the main causes of death, especially when associated with malnutrition. Assessment of nutritional status in all stages of the disease is therefore mandatory to improve clinical outcomes. The aim of the study: To identify the most suitable nutritional screening tools in the acute and chronic phase of the disease. Materials and methods: A&amp;nbsp;systematic literature search was conducted in the PubMed, Embase, Cinahl, Scopus and Web of Science databases, and through manual search of relevant journals and grey literature. The process of screening, selection and inclusion of the articles, as well as the assessment of risk of bias and methodological quality, were conducted independently by two reviewers. Out of 1,722 records identified, 20 studies were included in this systematic review. Results: In the acute phase of stroke, the Malnutrition Universal Screening Tool has shown a greater capacity to identify malnutrition. It also correlates better with poor clinical outcomes, such as length of hospital stay, mortality, length of stay and functional disability, when compared to other tools. In the rehabilitation/home setting the Mini Nutritional Assessment demonstrated high sensitivity and predictiveness and strong correlation with clinical outcomes such as quality of life, functional outcomes and Activities of Daily Living. Conclusion: The nutritional status of post-stroke patients is often compromised, and malnutrition is a frequent complication. Identifying specific nutritional screening tools applicable during different stages of the disease helps to better identify the risk of malnutrition, improving clinical outcomes.</p></abstract><trans-abstract xml:lang="en"><p>Background: Stroke is one of the main causes of death, especially when associated with malnutrition. Assessment of nutritional status in all stages of the disease is therefore mandatory to improve clinical outcomes. The aim of the study: To identify the most suitable nutritional screening tools in the acute and chronic phase of the disease. Materials and methods: A&amp;nbsp;systematic literature search was conducted in the PubMed, Embase, Cinahl, Scopus and Web of Science databases, and through manual search of relevant journals and grey literature. The process of screening, selection and inclusion of the articles, as well as the assessment of risk of bias and methodological quality, were conducted independently by two reviewers. Out of 1,722 records identified, 20 studies were included in this systematic review. Results: In the acute phase of stroke, the Malnutrition Universal Screening Tool has shown a greater capacity to identify malnutrition. It also correlates better with poor clinical outcomes, such as length of hospital stay, mortality, length of stay and functional disability, when compared to other tools. In the rehabilitation/home setting the Mini Nutritional Assessment demonstrated high sensitivity and predictiveness and strong correlation with clinical outcomes such as quality of life, functional outcomes and Activities of Daily Living. Conclusion: The nutritional status of post-stroke patients is often compromised, and malnutrition is a frequent complication. Identifying specific nutritional screening tools applicable during different stages of the disease helps to better identify the risk of malnutrition, improving clinical outcomes.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>stroke</kwd><kwd>nutritional assessment</kwd><kwd>nutritional screening tool</kwd><kwd>malnutrition</kwd><kwd>systematic review</kwd></kwd-group><kwd-group xml:lang="en"><kwd>stroke</kwd><kwd>nutritional assessment</kwd><kwd>nutritional screening tool</kwd><kwd>malnutrition</kwd><kwd>systematic review</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>Donkor ES. Stroke in the 21st&amp;nbsp;Century: A Snapshot of the Burden, Epidemiology, and Quality of Life. Stroke Research and Treatment. 2018;2018:3238165. DOI: https://doi.org/10.1155/2018/3238165</mixed-citation></ref><ref id="B2"><mixed-citation>Mattioli F. 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