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The FFMI values from the pretreatment BIA measurements and pretreatment body mass index (BMI) were used to categorize patients into groups with low and normal muscle mass and BMI using the Global Leadership Initiative on malnutrition (GLIM) recommended cutoff values. The impact of FFMI on disease-free survival (DFS) and overall survival (OS) was determined.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Of the 71 included patients, 31 (43.7%) had normal FFMI, and 40 (56.3%) had low FFMI, whereas 44 (62%) and 27 (38%) of the patients had normal and low BMI, respectively. Between FFMI and BMI values, a significant correlation was found (<jats:italic>R<\/jats:italic><jats:sub>P<\/jats:sub>\u2009=\u20090.75, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). Univariate regression analysis showed that FFMI (as a continuous variable) was of prognostic significance for OS (<jats:italic>p<\/jats:italic>\u2009=\u20090.039), which was confirmed by multivariate regression analysis (<jats:italic>p<\/jats:italic>\u2009=\u20090.029). The model where BMI replaced FFMI negated the prognostic value of BMI (as a continuous variable). Neither FFMI nor BMI was found to be a predictor of DFS on univariate or multivariate analysis.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>In the present group of HNSCC patients, low FFMI adversely influenced OS, emphasizing the importance of using body composition measurement over BMI alone for pretreatment nutritional evaluation of these patients.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00405-022-07732-w","type":"journal-article","created":{"date-parts":[[2022,11,27]],"date-time":"2022-11-27T21:26:12Z","timestamp":1669584372000},"page":"1909-1917","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Influence of fat-free mass index on the survival of patients with head and neck cancer"],"prefix":"10.1007","volume":"280","author":[{"given":"Nina","family":"Lapornik","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brigita","family":"Avramovi\u010d Brumen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaber","family":"Plavc","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0445-112X","authenticated-orcid":false,"given":"Primo\u017e","family":"Strojan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nada","family":"Rotovnik Kozjek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,11,27]]},"reference":[{"key":"7732_CR1","doi-asserted-by":"publisher","first-page":"1112","DOI":"10.3389\/fonc.2019.01112","volume":"9","author":"I Almada-Correia","year":"2019","unstructured":"Almada-Correia I, Neves PM, M\u00e4kitie A, Ravasco P (2019) Body composition evaluation in head and neck cancer patients: a review. 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