{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T00:56:45Z","timestamp":1787101005182,"version":"build-2736575974"},"reference-count":30,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T00:00:00Z","timestamp":1595635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nutrients"],"abstract":"<jats:p>Background: A gold standard method for malnutrition diagnosis is still lacking in Inflammatory Bowel Disease (IBD). Objective: The aims of this study are to determine the prevalence of malnutrition in IBD patients according with recently published Global Leadership Initiative on Malnutrition (GLIM) criteria, to detect the factors contributing to the onset of malnutrition, and to evaluate the most accurate predictor of malnutrition risk within the available nutritional screening tools. Methods: Fifty-three consecutive adult IBD patients [38 Crohn\u2019s disease (CD) and 15 ulcerative colitis (UC)] had been assessed preoperatively by a multidisciplinary IBD team before undergoing elective surgery. Several malnutrition risk tools were tested, such as NRS-2002, MUST, MST, MIRT, and SaskIBD-NR. The statistical association of independent GLIM variables with baseline characteristics of patients was explored as well as the concordance with the European Society for Clinical Nutrition and Metabolism (ESPEN 2015) and the screening tools. Results: Twenty-two IBD patients (42%) were malnourished according to GLIM criteria, of which 13 were CD (34%) and 9 UC (60%). The etiological criteria of inflammation and reduction of food intake were present in 51% and 19% of our patients, respectively. The prevalence of GLIM phenotypic criteria was 28%, 28% and 34% for BMI, Free Fat Mass Index (FFMI) and unintended weight loss (UWL), respectively. The presence of ileostomy was statistically associated with a higher prevalence of BMI (p = 0.030), FFMI (p = 0.030) and UWL (p = 0.002) values lower than the GLIM criteria cut-offs, while secondary surgery is associated with a decrease in FFMI (p = 0.017) and UWL (p = 0.041). The sensitivity of the tested nutritional screening tools, compared with the GLIM prevalence of malnutrition, was not satisfactory (between 50 and 82%). Conclusions: GLIM has a higher rate of malnutrition detection than ESPEN 2015, as malnutrition in IBD seems linked to inflammation and secondary malabsorption even without a reduction of food intake. The sensitivity of the screening tools is lower than the specificity when compared with GLIM criteria for malnutrition diagnosis.<\/jats:p>","DOI":"10.3390\/nu12082222","type":"journal-article","created":{"date-parts":[[2020,7,27]],"date-time":"2020-07-27T04:39:50Z","timestamp":1595824790000},"page":"2222","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":59,"title":["GLIM Criteria for Malnutrition in Surgical IBD Patients: A Pilot Study"],"prefix":"10.3390","volume":"12","author":[{"given":"Camilla","family":"Fiorindi","sequence":"first","affiliation":[{"name":"Department of Health Science, University of Florence, 50139 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1232-8778","authenticated-orcid":false,"given":"Cristina","family":"Luceri","sequence":"additional","affiliation":[{"name":"NEUROFARBA Department, Pharmacology and Toxicology Section, University of Florence, 50139 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5752-5113","authenticated-orcid":false,"given":"Gabriele","family":"Dragoni","sequence":"additional","affiliation":[{"name":"Department of Experimental and Clinical Biomedical Sciences \u201cMario Serio\u201d, University of Florence, 50139 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guya","family":"Piemonte","sequence":"additional","affiliation":[{"name":"Department of Health Science, University of Florence, 50139 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefano","family":"Scaringi","sequence":"additional","affiliation":[{"name":"Department of Experimental and Clinical Medicine, University of Florence, 50139 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2438-2563","authenticated-orcid":false,"given":"Fabio","family":"Staderini","sequence":"additional","affiliation":[{"name":"Department of Experimental and Clinical Medicine, University of Florence, 50139 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anita","family":"Nannoni","sequence":"additional","affiliation":[{"name":"Department of Health Science, University of Florence, 50139 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ferdinando","family":"Ficari","sequence":"additional","affiliation":[{"name":"Department of Experimental and Clinical Medicine, University of Florence, 50139 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6879-5685","authenticated-orcid":false,"given":"Francesco","family":"Giudici","sequence":"additional","affiliation":[{"name":"Department of Experimental and Clinical Medicine, University of Florence, 50139 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,7,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1046\/j.1365-2036.2003.01482.x","article-title":"Review article: Nutrition and adult inflammatory bowel disease","volume":"17","author":"Goh","year":"2003","journal-title":"Aliment. 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