Evidence map›Paper›PMID 34274929›Full record

ArticleAnnals of nutrition & metabolism2021

The Combined Usage of the Global Leadership Initiative on Malnutrition Criteria and Controlling Nutrition Status Score in Acute Care Hospitals.

Asako Mitani, Takahito Iwai, Toshiaki Shichinohe, Hiroshi Takeda, Satomi Kumagai, Mutsumi Nishida, Junichi Sugita, Takanori Teshima

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Article in Annals of nutrition & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

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9citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Asako MitaniNutrition Support Team, Hokkaido University Hospital, Sapporo, Japan.
Takahito IwaiNutrition Support Team, Hokkaido University Hospital, Sapporo, Japan, takahito181@gmail.com.
Toshiaki ShichinoheNutrition Support Team, Hokkaido University Hospital, Sapporo, Japan.
Hiroshi TakedaNutrition Support Team, Hokkaido University Hospital, Sapporo, Japan.
Satomi KumagaiNutrition Support Team, Hokkaido University Hospital, Sapporo, Japan.
Mutsumi NishidaDivision of Laboratory and Transfusion Medicine, Hokkaido University Hospital, Sapporo, Japan.
Junichi SugitaDivision of Laboratory and Transfusion Medicine, Hokkaido University Hospital, Sapporo, Japan.
Takanori TeshimaDivision of Laboratory and Transfusion Medicine, Hokkaido University Hospital, Sapporo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Global Leadership Initiative on Malnutrition (GLIM) lacks reliable blood tests for evaluating the nutrition status. We retrospectively compared the GLIM criteria, Controlling Nutrition Status (CONUT) score, and Subjective Global Assessment (SGA) to establish effective malnutrition screening and provide appropriate nutritional interventions according to severity.

methodsWe classified 177 patients into 3 malnutrition categories (normal/mild, moderate, and severe) according to the GLIM criteria, CONUT score, and SGA. We investigated the malnutrition prevalence, concordance of malnutrition severity, predictability of clinical outcome, concordance by etiology, and clinical outcome by inflammation.

resultsThe highest prevalence of malnutrition was found using the GLIM criteria (87.6%). Concordance of malnutrition severity was low between the GLIM criteria and CONUT score. Concordance by etiology was low in all groups but was the highest in the "acute disease" group. The area under the curve of clinical outcome and that of the "with inflammation group" were significantly higher when using the CONUT score versus using the other tools (0.679 and 0.683, respectively).

conclusionThe GLIM criteria have high sensitivity, while the CONUT score can effectively predict the clinical outcome of malnutrition. Their combined use can efficiently screen for malnutrition and patient severity in acute care hospitals.

Indexed as

MalnutritionNutritional StatusHospitalsHumansInflammationLeadershipNutrition AssessmentRetrospective StudiesClinical outcomeControlling Nutrition Status scoreGlobal Leadership Initiative on Malnutrition criteriaMalnutritionSubjective Global Assessment

Identifiers

PMID34274929
PMCPMC8619794

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.