How to detect non-institutionalized older patients at risk of malnutrition during their hospitalization? Comparison of 8 screening tools for malnutrition or nutritional risk
Copyright © 2024 The Author(s). Published by Elsevier España, S.L.U. All rights reserved..
BACKGROUND: The prevalence of malnutrition is high among the elderly population. Hospital admission is a window of opportunity for its detection.
OBJECTIVE: To assess the concordance of different nutritional scales in hospitalized patients.
METHODS: Prospective study in non-institutionalized patients over 65 years of age admitted to an internal medicine department. Five malnutrition screening surveys (MNA, MST, MUST, NRS-2000 and CONUT) and three nutritional risk screening surveys (SCREEN 3, 8 and 14) were compared. As gold standard we use the Global Malnutrition Leadership Initiative for Malnutrition (GLIM) definition of malnutrition.
RESULTS: Eighty-five patients (37% female, median age 83 years) were included. Forty-eight percent (95% CI 38-59%) of patients were classified as malnourished according to GLIM criteria. The SCREEN 3 scale was the most sensitive (93%; 95% CI 87-98) and MUST the most specific (91%; CI 85-99). The most effective scale for excluding suspected malnutrition was SCREEN 3 (LR- 0.17; 95% CI 0.05-0.53) and the best for confirming it was MST (LR+ 7.08; 95% CI 3.06-16.39). Concordance between the different scales was low or very low with kappa indices between 0.082 and 0.465.
CONCLUSIONS: A comprehensive approach is needed to detect malnutrition in hospitalized patients. More sensitive scales are more useful in initial screening. Nutritional risk tools could be effective at this stage. In a second step, malnutrition should be confirmed according to established criteria such as GLIM.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:224 |
|---|---|
| Enthalten in: |
Revista clinica espanola - 224(2024), 4 vom: 15. Apr., Seite 217-224 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
García-Fuente, I [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Elderly |
|---|
| Anmerkungen: |
Date Completed 08.04.2024 Date Revised 08.04.2024 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1016/j.rceng.2024.03.003 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM369801601 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM369801601 | ||
| 003 | DE-627 | ||
| 005 | 20240408232719.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240316s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.rceng.2024.03.003 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1369.xml |
| 035 | |a (DE-627)NLM369801601 | ||
| 035 | |a (NLM)38490479 | ||
| 035 | |a (PII)S2254-8874(24)00041-9 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a García-Fuente, I |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a How to detect non-institutionalized older patients at risk of malnutrition during their hospitalization? Comparison of 8 screening tools for malnutrition or nutritional risk |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 08.04.2024 | ||
| 500 | |a Date Revised 08.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2024 The Author(s). Published by Elsevier España, S.L.U. All rights reserved. | ||
| 520 | |a BACKGROUND: The prevalence of malnutrition is high among the elderly population. Hospital admission is a window of opportunity for its detection | ||
| 520 | |a OBJECTIVE: To assess the concordance of different nutritional scales in hospitalized patients | ||
| 520 | |a METHODS: Prospective study in non-institutionalized patients over 65 years of age admitted to an internal medicine department. Five malnutrition screening surveys (MNA, MST, MUST, NRS-2000 and CONUT) and three nutritional risk screening surveys (SCREEN 3, 8 and 14) were compared. As gold standard we use the Global Malnutrition Leadership Initiative for Malnutrition (GLIM) definition of malnutrition | ||
| 520 | |a RESULTS: Eighty-five patients (37% female, median age 83 years) were included. Forty-eight percent (95% CI 38-59%) of patients were classified as malnourished according to GLIM criteria. The SCREEN 3 scale was the most sensitive (93%; 95% CI 87-98) and MUST the most specific (91%; CI 85-99). The most effective scale for excluding suspected malnutrition was SCREEN 3 (LR- 0.17; 95% CI 0.05-0.53) and the best for confirming it was MST (LR+ 7.08; 95% CI 3.06-16.39). Concordance between the different scales was low or very low with kappa indices between 0.082 and 0.465 | ||
| 520 | |a CONCLUSIONS: A comprehensive approach is needed to detect malnutrition in hospitalized patients. More sensitive scales are more useful in initial screening. Nutritional risk tools could be effective at this stage. In a second step, malnutrition should be confirmed according to established criteria such as GLIM | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Elderly | |
| 650 | 4 | |a Evaluación nutricional | |
| 650 | 4 | |a Malnutrición | |
| 650 | 4 | |a Malnutrition | |
| 650 | 4 | |a Mayores | |
| 650 | 4 | |a Nutritional assessment | |
| 650 | 4 | |a Sarcopenia | |
| 650 | 4 | |a Sensibilidad y especificidad | |
| 650 | 4 | |a Sensitivity and specificity | |
| 700 | 1 | |a Corral-Gudino, L |e verfasserin |4 aut | |
| 700 | 1 | |a Gabella-Martín, M |e verfasserin |4 aut | |
| 700 | 1 | |a Olivet-de-la-Fuente, V E |e verfasserin |4 aut | |
| 700 | 1 | |a Pérez-Nieto, J |e verfasserin |4 aut | |
| 700 | 1 | |a Miramontes-González, P |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Revista clinica espanola |d 2013 |g 224(2024), 4 vom: 15. Apr., Seite 217-224 |w (DE-627)NLM21591063X |x 2254-8874 |7 nnns |
| 773 | 1 | 8 | |g volume:224 |g year:2024 |g number:4 |g day:15 |g month:04 |g pages:217-224 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.rceng.2024.03.003 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 224 |j 2024 |e 4 |b 15 |c 04 |h 217-224 | ||