Evidence map›Paper›PMID 38956245›Full record

ArticleScientific reports2024

The predictive value of GLIM criteria on clinical outcomes and responses to nutritional support in patients with neurocritical illnesses.

Peiqi Liu, Huimin Tian, Lan Gao, Tangsheng Zhong, Yujiao Wang, Li Chen

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Peiqi Liu *School of Nursing, Jilin University, No. 965 Xinjiang Street, Chang Chun, 130021, Jilin Province, China.
Huimin Tian *School of Nursing, Jilin University, No. 965 Xinjiang Street, Chang Chun, 130021, Jilin Province, China.
Lan GaoDepartment of Neurology, The First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, 130021, Jilin Province, China.
Tangsheng ZhongSchool of Nursing, Jilin University, No. 965 Xinjiang Street, Chang Chun, 130021, Jilin Province, China.
Yujiao WangNeurocritical Care Unit, Department of Neurology, The First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, 130021, Jilin Province, China. wangyujiao1989@jlu.edu.cn.
Li ChenSchool of Nursing, Jilin University, No. 965 Xinjiang Street, Chang Chun, 130021, Jilin Province, China. chenl@jlu.edu.cn.

Funding

Norman Bethune Program of Jilin University 2022B47
6 · The paper itself

Abstract

Neurocritically ill patients frequently exhibit coma, gastroparesis, and intense catabolism, leading to an increased risk of malnutrition. The Global Leadership Initiative on Malnutrition (GLIM) criteria for the diagnosis of malnutrition was created to achieve a consistent malnutrition diagnosis across diverse populations. This study aimed to validate the concurrent and predictive validity of GLIM criteria in patients with neurocritical illnesses. A total of 135 participants were followed from admission to the neurocritical unit (NCU) until discharge. Comparing GLIM criteria to the Subjective Global Assessment (SGA), sensitivity was 0.95 and specificity was 0.69. Predictive validity of GLIM criteria was assessed using a composite adverse clinical outcome, comprising mortality and various major complications. Adjusted hazard ratios for moderate and severe malnutrition were 2.86 (95% CI 1.45-5.67) and 3.88 (95% CI 1.51-9.94), respectively. Changes in indicators of nutritional status, including skeletal muscle mass and abdominal fat mass, within 7 days of admission were obtained for 61 participants to validate the predictive capability of the GLIM criteria for the patients' response of standardized nutritional support. The GLIM criteria have a statistically significant predictive validity on changes in rectus femoris muscle thickness and midarm muscle circumference. In conclusion, the GLIM criteria demonstrate high sensitivity for diagnosing malnutrition in neurocritically ill patients and exhibit good predictive validity.

Indexed as

Critical IllnessMalnutritionNutritional SupportAdultAgedFemaleHumansMaleMiddle AgedNervous System DiseasesNutritional StatusNutrition AssessmentPredictive Value of TestsClinical outcomeGLIMMalnutritionNeurocritical illNutritional assessment

Identifiers

PMID38956245
PMCPMC11219829

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