{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:33:56Z","timestamp":1740202436016,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>The objective of the study is to assess a nutritional risk alert using an Informatics System in hospitalized patients versus the conventional methodology. Method: we studied 400 medical patients at the Belgrano Hospital Critical Care Unit. We considered two groups of 200 patients. In the first the group (Control Group), nutritional risk was diagnosed in a traditional way. In the second group (Alarm Group), nutritional risk was diagnosed with an alert system. The alert was triggered when a patient showed low levels of, at least, two of the following variables: albumin, cholesterol, triglyceride, lymphocyte or low body mass index (BMI). Results: nutritional risk was detected in 20.3% of the Control Group patients while, in the Alert Group, nutritional risk was detected in 34.3% of the patients; the difference between the two groups was significant (p&amp;lt;0.001), with a sensitivity rate of 99% and a specificity rate of 98%.Conclusion: malnutrition is more easily detected when using an alert system.<\/jats:p>","DOI":"10.3233\/978-1-61499-432-9-697","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:45:03Z","timestamp":1740149103000},"source":"Crossref","is-referenced-by-count":0,"title":["Nutritional Alert in hospitalized patients"],"prefix":"10.3233","author":[{"family":"Brieux Humberto Fern&aacute;n Mandirola","sequence":"additional","affiliation":[]},{"family":"Kaminker Diego","sequence":"additional","affiliation":[]},{"family":"Campos Fernando","sequence":"additional","affiliation":[]},{"family":"Guillen Sebastian","sequence":"additional","affiliation":[]},{"family":"Alejandris Javier","sequence":"additional","affiliation":[]},{"family":"Luna Daniel","sequence":"additional","affiliation":[]},{"family":"Baum Analia","sequence":"additional","affiliation":[]},{"family":"de Quir&oacute;s Fern&aacute;n Gonzalez Bernaldo","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","e-Health &amp;ndash; For Continuity of Care"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T15:22:22Z","timestamp":1740151342000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0926-9630&volume=205&spage=697"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-432-9-697","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2014]]}}}