Evaluation of different screening tools for detection of malnutrition in hospitalised patients Article Swipe
Regina Cortes
,
Aina M. Yáñez
,
Laura Capitán‐Moyano
,
Aina Rosa Millán‐Pons
,
Miquel Bennasar‐Veny
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1111/jocn.17170
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1111/jocn.17170
Aims and Objectives To assess the prevalence of malnutrition in hospitalised adult patients, and to evaluate the accuracy of the most commonly used nutritional screening tools for identifying individuals at risk of malnutrition. Methods A prospective cross‐sectional study was conducted on a total of 248 hospitalised patients in internal medicine wards (mean age: 75.2 years; 39.5% females). Nutritional screening was performed within 48 h of admission using the following tools: Malnutrition Universal Screening Tool (MUST), Nutrition Risk Screening Tool (NRS‐2002), Malnutrition Screening Tool (MST), Short Nutritional Assessment Questionnaire (SNAQ), and Mini Nutritional Assessment Short Form (MNA‐SF). The criteria of the European Society for Clinical Nutrition and Metabolism (ESPEN) were used as the gold standard for defining malnutrition. Patients were also evaluated using the Subjective Global Assessment (SGA) and the Global Leadership Initiative on Malnutrition (GLIM) criteria. Accuracy was determined by examining sensitivity, specificity, and positive and negative predictive values, and diagnostic agreement was determined by calculation of Cohen's kappa (κ). The study is reported as per the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. Results The ESPEN criteria classified 20.2% of the hospitalised patients as malnourished. Overall, the MUST had the highest sensitivity (80.0%), specificity (74.7%) and positive predictive value (44.4%). For the subgroup of patients aged >65 years, the MNA‐SF had high sensitivity (94.4%) but low specificity (39.0%). Based on Cohen's κ, the SGA and GLIM criteria showed low agreement with the ESPEN criteria. Conclusion The MUST was the most accurate nutritional screening tool, through the MST is more easily applied in many clinical settings. A comprehensive assessment of malnutrition that considers muscle mass is crucial for the reliable diagnosis of malnutrition. Implications for the profession and/or patient care The present findings underscore the importance of accurate assessment of the malnutrition status of hospitalised patients and the need for a reliable screening tool. No patient or public contribution.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/jocn.17170
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jocn.17170
- OA Status
- bronze
- Cited By
- 10
- References
- 74
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394874195
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4394874195Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/jocn.17170Digital Object Identifier
- Title
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Evaluation of different screening tools for detection of malnutrition in hospitalised patientsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-04-17Full publication date if available
- Authors
-
Regina Cortes, Aina M. Yáñez, Laura Capitán‐Moyano, Aina Rosa Millán‐Pons, Miquel Bennasar‐VenyList of authors in order
- Landing page
-
https://doi.org/10.1111/jocn.17170Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jocn.17170Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jocn.17170Direct OA link when available
- Concepts
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Malnutrition, Medicine, Observational study, Clinical nutrition, Gold standard (test), Cross-sectional study, Epidemiology, Pediatrics, Prospective cohort study, Intensive care medicine, Internal medicine, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 2Per-year citation counts (last 5 years)
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74Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(κ). | 160 |
| abstract_inverted_index.20.2% | 181 |
| abstract_inverted_index.39.5% | 56 |
| abstract_inverted_index.Based | 221 |
| abstract_inverted_index.ESPEN | 178, 235 |
| abstract_inverted_index.Short | 85, 94 |
| abstract_inverted_index.adult | 12 |
| abstract_inverted_index.kappa | 159 |
| abstract_inverted_index.study | 38, 162 |
| abstract_inverted_index.tool, | 246 |
| abstract_inverted_index.tool. | 305 |
| abstract_inverted_index.tools | 26 |
| abstract_inverted_index.total | 43 |
| abstract_inverted_index.using | 67, 122 |
| abstract_inverted_index.value | 201 |
| abstract_inverted_index.wards | 51 |
| abstract_inverted_index.>65 | 209 |
| abstract_inverted_index.(GLIM) | 135 |
| abstract_inverted_index.(MST), | 84 |
| abstract_inverted_index.Global | 125, 130 |
| abstract_inverted_index.and/or | 279 |
| abstract_inverted_index.assess | 5 |
| abstract_inverted_index.easily | 252 |
| abstract_inverted_index.muscle | 265 |
| abstract_inverted_index.public | 309 |
| abstract_inverted_index.showed | 230 |
| abstract_inverted_index.status | 294 |
| abstract_inverted_index.tools: | 70 |
| abstract_inverted_index.within | 62 |
| abstract_inverted_index.years, | 210 |
| abstract_inverted_index.years; | 55 |
| abstract_inverted_index.(74.7%) | 197 |
| abstract_inverted_index.(94.4%) | 216 |
| abstract_inverted_index.(ESPEN) | 108 |
| abstract_inverted_index.(MUST), | 75 |
| abstract_inverted_index.(SNAQ), | 89 |
| abstract_inverted_index.Cohen's | 158, 223 |
| abstract_inverted_index.Methods | 34 |
| abstract_inverted_index.Results | 176 |
| abstract_inverted_index.Society | 102 |
| abstract_inverted_index.Studies | 171 |
| abstract_inverted_index.applied | 253 |
| abstract_inverted_index.crucial | 268 |
| abstract_inverted_index.highest | 193 |
| abstract_inverted_index.patient | 280, 307 |
| abstract_inverted_index.present | 283 |
| abstract_inverted_index.through | 247 |
| abstract_inverted_index.values, | 149 |
| abstract_inverted_index.(39.0%). | 220 |
| abstract_inverted_index.(44.4%). | 202 |
| abstract_inverted_index.(80.0%), | 195 |
| abstract_inverted_index.(STROBE) | 174 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Accuracy | 137 |
| abstract_inverted_index.Clinical | 104 |
| abstract_inverted_index.European | 101 |
| abstract_inverted_index.MNA‐SF | 212 |
| abstract_inverted_index.Overall, | 188 |
| abstract_inverted_index.Patients | 118 |
| abstract_inverted_index.accuracy | 18 |
| abstract_inverted_index.accurate | 243, 289 |
| abstract_inverted_index.clinical | 256 |
| abstract_inverted_index.commonly | 22 |
| abstract_inverted_index.criteria | 98, 179, 229 |
| abstract_inverted_index.defining | 116 |
| abstract_inverted_index.evaluate | 16 |
| abstract_inverted_index.findings | 284 |
| abstract_inverted_index.internal | 49 |
| abstract_inverted_index.medicine | 50 |
| abstract_inverted_index.negative | 147 |
| abstract_inverted_index.patients | 47, 185, 207, 297 |
| abstract_inverted_index.positive | 145, 199 |
| abstract_inverted_index.reliable | 271, 303 |
| abstract_inverted_index.reported | 164 |
| abstract_inverted_index.standard | 114 |
| abstract_inverted_index.subgroup | 205 |
| abstract_inverted_index.Nutrition | 76, 105 |
| abstract_inverted_index.Reporting | 168 |
| abstract_inverted_index.Screening | 73, 78, 82 |
| abstract_inverted_index.Universal | 72 |
| abstract_inverted_index.admission | 66 |
| abstract_inverted_index.agreement | 152, 232 |
| abstract_inverted_index.conducted | 40 |
| abstract_inverted_index.considers | 264 |
| abstract_inverted_index.criteria. | 136, 236 |
| abstract_inverted_index.diagnosis | 272 |
| abstract_inverted_index.evaluated | 121 |
| abstract_inverted_index.examining | 141 |
| abstract_inverted_index.females). | 57 |
| abstract_inverted_index.following | 69 |
| abstract_inverted_index.patients, | 13 |
| abstract_inverted_index.performed | 61 |
| abstract_inverted_index.screening | 25, 59, 245, 304 |
| abstract_inverted_index.settings. | 257 |
| abstract_inverted_index.Assessment | 87, 93, 126 |
| abstract_inverted_index.Conclusion | 237 |
| abstract_inverted_index.Initiative | 132 |
| abstract_inverted_index.Leadership | 131 |
| abstract_inverted_index.Metabolism | 107 |
| abstract_inverted_index.Objectives | 3 |
| abstract_inverted_index.Subjective | 124 |
| abstract_inverted_index.assessment | 260, 290 |
| abstract_inverted_index.classified | 180 |
| abstract_inverted_index.determined | 139, 154 |
| abstract_inverted_index.diagnostic | 151 |
| abstract_inverted_index.importance | 287 |
| abstract_inverted_index.predictive | 148, 200 |
| abstract_inverted_index.prevalence | 7 |
| abstract_inverted_index.profession | 278 |
| abstract_inverted_index.underscore | 285 |
| abstract_inverted_index.(MNA‐SF). | 96 |
| abstract_inverted_index.Nutritional | 58, 86, 92 |
| abstract_inverted_index.calculation | 156 |
| abstract_inverted_index.guidelines. | 175 |
| abstract_inverted_index.identifying | 28 |
| abstract_inverted_index.individuals | 29 |
| abstract_inverted_index.nutritional | 24, 244 |
| abstract_inverted_index.prospective | 36 |
| abstract_inverted_index.sensitivity | 194, 215 |
| abstract_inverted_index.specificity | 196, 219 |
| abstract_inverted_index.Epidemiology | 173 |
| abstract_inverted_index.Implications | 275 |
| abstract_inverted_index.Malnutrition | 71, 81, 134 |
| abstract_inverted_index.hospitalised | 11, 46, 184, 296 |
| abstract_inverted_index.malnutrition | 9, 262, 293 |
| abstract_inverted_index.sensitivity, | 142 |
| abstract_inverted_index.specificity, | 143 |
| abstract_inverted_index.(NRS‐2002), | 80 |
| abstract_inverted_index.Observational | 170 |
| abstract_inverted_index.Questionnaire | 88 |
| abstract_inverted_index.comprehensive | 259 |
| abstract_inverted_index.contribution. | 310 |
| abstract_inverted_index.malnourished. | 187 |
| abstract_inverted_index.malnutrition. | 33, 117, 274 |
| abstract_inverted_index.cross‐sectional | 37 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5037123940 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I2801357902, https://openalex.org/I4210106003, https://openalex.org/I4210126021, https://openalex.org/I50441567 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.94899222 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |