{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T12:29:12Z","timestamp":1776515352419,"version":"3.51.2"},"reference-count":43,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2016,7,27]],"date-time":"2016-07-27T00:00:00Z","timestamp":1469577600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100003521","name":"Department of Education, Australian Governement","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003521","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Human Nutrition Diet"],"published-print":{"date-parts":[[2017,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Nutritional screening and assessment is not currently part of routine clinical practice in Vietnam. Therefore, the present study aimed to investigate the utility of the commonly used methods for identifying malnutrition in outpatients with chronic obstructive pulmonary disease (<jats:styled-content style=\"fixed-case\">COPD<\/jats:styled-content>).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A cross\u2010sectional pilot study and a larger retrospective study were carried out in outpatients with <jats:styled-content style=\"fixed-case\">COPD<\/jats:styled-content> who were attending a respiratory clinic in Ho Chi Minh City, Vietnam. Routine clinical data were collected [body mass index (BMI), forced expiratory volume in 1\u00a0s (<jats:styled-content style=\"fixed-case\">FEV<\/jats:styled-content><jats:sub>1<\/jats:sub>)]. Nutritional screening and assessment were performed using the Malnutrition Screening Tool (<jats:styled-content style=\"fixed-case\">MST<\/jats:styled-content>) and Subjective Global Assessment (<jats:styled-content style=\"fixed-case\">SGA<\/jats:styled-content>) as the gold standard to diagnose malnutrition.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In total, 393 outpatients had documented <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> and 29 were prospectively assessed using <jats:styled-content style=\"fixed-case\">SGA<\/jats:styled-content>: males, <jats:italic>n<\/jats:italic>\u00a0=\u00a025; females, <jats:italic>n<\/jats:italic>\u00a0=\u00a04; mean (SD) age 69.7 <jats:styled-content style=\"fixed-case\">(<\/jats:styled-content>9.6)\u00a0years; mean (SD) <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> 21.0 <jats:styled-content style=\"fixed-case\">(<\/jats:styled-content>3.4)\u00a0kg\u00a0m<jats:sup>\u20132<\/jats:sup>; mean (SD) <jats:styled-content style=\"fixed-case\">FEV<\/jats:styled-content><jats:sub>1<\/jats:sub> percentage predicted 57.0% (19.7%). Malnutrition risk was identified in 20.7% (<jats:italic>n\u00a0<\/jats:italic>=<jats:italic>\u00a0<\/jats:italic>6) of patients using the <jats:styled-content style=\"fixed-case\">MST<\/jats:styled-content> (38% sensitivity; 94% specificity). However, 45% (<jats:italic>n\u00a0<\/jats:italic>=<jats:italic>\u00a0<\/jats:italic>13) were diagnosed as malnourished using the <jats:styled-content style=\"fixed-case\">SGA<\/jats:styled-content> (31% mild\/moderate; 14% severe). All malnourished patients not identified by the <jats:styled-content style=\"fixed-case\">MST<\/jats:styled-content> had evidence of muscle wasting. <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> had a strong negative correlation with muscle wasting as assessed using the <jats:styled-content style=\"fixed-case\">SGA<\/jats:styled-content> (<jats:italic>r<\/jats:italic>\u00a0=\u00a0\u22120.857, <jats:italic>n\u00a0<\/jats:italic>=<jats:italic>\u00a0<\/jats:italic>28; <jats:italic>P\u00a0<\/jats:italic>&lt;<jats:italic>\u00a0<\/jats:italic>0.001) and all malnourished patients had a <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> &lt;21\u00a0kg\u00a0m<jats:sup>\u20132<\/jats:sup> (range 14.6\u201320.8\u00a0kg\u00a0m<jats:sup>\u20132<\/jats:sup>, nourished range 20.0\u201327.6\u00a0kg\u00a0m<jats:sup>\u20132<\/jats:sup>).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Malnutrition is common in Vietnamese outpatients with <jats:styled-content style=\"fixed-case\">COPD<\/jats:styled-content>. A <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> threshold of &lt;21\u00a0kg\u00a0m<jats:sup>\u20132<\/jats:sup> appears to represent a useful and pragmatic cut\u2010off point for identifying outpatients requiring comprehensive nutritional assessment and support.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jhn.12402","type":"journal-article","created":{"date-parts":[[2016,7,27]],"date-time":"2016-07-27T07:04:06Z","timestamp":1469603046000},"page":"83-89","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Nutritional status of Vietnamese outpatients with chronic obstructive pulmonary disease"],"prefix":"10.1111","volume":"30","author":[{"given":"D.","family":"Hogan","sequence":"first","affiliation":[{"name":"Nutrition and Dietetics School of Exercise and Nutrition Sciences Faculty of Health Queensland University of Technology Kelvin Grove QLD Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L. 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