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It is described as a consequence of genetic and environmental factors, lack of physical activity, and co-morbidities. However, a key role of a geriatrician is to further explore the multidimensional complexity of this issue. The aim of this study was to identify the relationship between nutritional status and different factors, particularly focusing on inflammatory biomarkers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Nutritional status was assessed using Mini-Nutritional-Assessment with a score below 24 (out of 30) defined as malnutrition. Different serum biomarkers of inflammation were measured, such as High-Sensitivity-C-Reactive-Protein (hsCRP), Interleukin-6 (IL-6), Interleukin-8 (IL-8), Interleukin-18(IL-18), osteoprotegerin(OPG), and Soluble-Receptor-For-TNF-alfa(sTNFRII). Medical history, mental status (Mini-Mental-State-Examination, Geriatric-Depression-Scale) and activities of daily living (using Instrumental-Activities-of-Daily-Living-Scale) were used in the evaluation. The relationship between nutritional status and the factors listed was assessed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The mean age of 76 examined persons (40.8% female) from the outpatient clinic was 71\u00a0years. Malnutrition risk was recognized in 29%. The following factors significant in univariate regression were used in stepwise regression analysis: age, sex, mental status (MMSE, GDS), valve disease, number of diseases, IADL. Stepwise regression revealed that the risk of malnutrition was increased by the presence of valve disease, number of diseases, and female sex. Factors that increased the risk of malnutrition were: logsTNFRII (OR\u2009=\u20093.09; 95% CI 1.07\u20138.96), IL-8 (OR\u2009=\u20091.09; 95% CI 1.00\u20131.18), and OPG (OR\u2009=\u20091.27; 95% CI 1.02\u20131.57). Risk of malnutrition was negatively associated with Il-18(OR\u2009=\u20090.995; 95% CI 0.991\u20130.999).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Chronic inflammation and immunologic process are likely contributors to the complex etiopathogenesis of malnutrition in older persons.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s41999-020-00303-4","type":"journal-article","created":{"date-parts":[[2020,3,6]],"date-time":"2020-03-06T10:43:58Z","timestamp":1583491438000},"page":"383-391","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["The relationship between malnutrition risk and inflammatory biomarkers in outpatient geriatric population"],"prefix":"10.1007","volume":"11","author":[{"given":"Paulina","family":"Fatyga","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agnieszka","family":"Pac","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ma\u0142gorzata","family":"Fedyk-\u0141ukasik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomasz","family":"Grodzicki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5560-3632","authenticated-orcid":false,"given":"Anna","family":"Skalska","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,3,6]]},"reference":[{"key":"303_CR1","doi-asserted-by":"publisher","first-page":"e66","DOI":"10.1161\/STROKEAHA.108.518910","volume":"40","author":"NC Foley","year":"2009","unstructured":"Foley NC, Salter KL, Robertson J et al (2009) Which reported estimate of the prevalence of malnutrition after stroke is valid? 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