MON-PO489: Glim in Practice: Sensibility and Prognostic Value for the Diagnosis of Malnutrition of Gastrointestinal Surgical Patients

Henrique, J.R.; Rodrigues, Camila Neves; Ferreira, Á.R.S.; Correia, Maria Isabel Toulson Davisson

doi:10.1016/s0261-5614(19)32322-2

Cited by 3 publications

(3 citation statements)

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“…Again machine learning would help to identify all possible combinations in a data set for comparison to the gold standard (Fig. 1, [32]). Prevalence for these combinations of GLIM contrasted with the prevalence as determined by the gold standard used in the validation study would also be an important result to document.…”

Section: Statistical Analyses For Reliability and Validity Of Glim Criteriamentioning

confidence: 99%

Global Leadership Initiative on Malnutrition (GLIM): Guidance on validation of the operational criteria for the diagnosis of protein-energy malnutrition in adults

et al. 2020

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Section: Statistical Analyses For Reliability and Validity Of Glim Criteriamentioning

confidence: 99%

Global Leadership Initiative on Malnutrition (GLIM): Guidance on validation of the operational criteria for the diagnosis of protein-energy malnutrition in adults

et al. 2020

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“…The etiologic GLIM criteria considered were either (1) RFI (decreased food ingestion for at least 2 weeks reported by the patient or his/her caregivers and further corroborated with the institutional caretakers) or (2) acute disease inflammation (acute diseases retrieved from the patients’ clinical records during the past 3 months). In total, we proposed 12 potential GLIM models based on the study by J. R. Henrique et al 12 …”

Section: Methodsmentioning

confidence: 99%

Prevalence of Malnutrition and 1‐Year All‐Cause Mortality in Institutionalized Elderly Patients Comparing Different Combinations of the GLIM Criteria

Sanz-París

Fernandez

Pérez-Nogueras³

et al. 2020

J Parenter Enteral Nutr

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Background The Global Leadership Initiative on Malnutrition (GLIM) provided a new approach for the diagnosis of malnutrition based on a number of phenotypic and etiologic criteria. However, different diagnostic criteria could potentially lead to heterogeneity in the diagnosis. We identified different subsets of criteria to define malnutrition in a cohort of elder nursing‐home residents and investigated their clinical utility in terms of 1‐year survival. Methods Our study included all residents (n = 485) from 3 nursing homes. We proposed 12 GLIM models based on different phenotypic and etiologic criteria. The main outcome was 1‐year all‐cause mortality. We also assessed the sensitivity and specificity for different phenotypic criteria using time‐dependent receiver operating characteristic curves, and cutoff values were calculated. Results During 1 year of follow‐ups, 94 deaths occurred. The prevalence of malnutrition was 13.5% for models based on reduced food intake (RFI) and 10.45% for models based on inflammation associated with acute disease (IAD). Unadjusted Cox regression analyses showed that malnutrition was associated with a 2.31‐ to 4.64‐fold increase in mortality when diagnosed using IAD‐dependent models or with a 1.37‐ to 1.78‐fold increase in mortality using RFI‐dependent models. Cutoffs associated with mortality for the phenotypic criteria were lower than those recommended in the GLIM criteria. Conclusion This study describes the association of several variations of the GLIM model with 1‐year mortality in nursing‐home residents. However, our data suggest a high heterogeneity to fulfill the GLIM criteria and the necessity of finding specific, tailored cutoff points for the studied populations.

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“…This could include not only the recommended 1 phenotypic and 1 etiologic indicator but also other combinations, for example, 2 phenotypic and 1 etiologic, or the same phenotypic indicator with another etiologic indicator, to test and refine GLIM. Again, machine learning would help to identify all possible combinations in a dataset for comparison to the gold standard (Figure 1 32 ). Prevalence for these combinations of GLIM contrasted with the prevalence as determined by the gold standard used in the validation study would also be an important result to document.…”

Section: Statistical Analyses For Reliability and Validity Of Glim Criteriamentioning

confidence: 99%

Global Leadership Initiative on Malnutrition (GLIM): Guidance on Validation of the Operational Criteria for the Diagnosis of Protein‐Energy Malnutrition in Adults

Keller

Schueren

Jensen

et al. 2020

J Parenter Enteral Nutr

113

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Background: The Global Leadership Initiative on Malnutrition (GLIM) created a consensus-based framework consisting of phenotypic and etiologic criteria to record the occurrence of malnutrition in adults. This is a minimum set of practicable indicators for use in characterizing a patient/client as malnourished, considering the global variations in screening and nutrition assessment, and to be used across different healthcare settings. As with other consensus-based frameworks for diagnosing disease states, these operational criteria require validation and reliability testing, as they are currently based solely on expert opinion. Methods: Several forms of validation and reliability are reviewed in the context of GLIM, providing guidance on how to conduct retrospective and prospective studies for criterion and construct validity. Results: There are some aspects of GLIM that require refinement; research using large databases can be employed to reach this goal. Machine learning is also introduced as a potential method to support identification of the best cut points and combinations of indicators for use with the different forms of malnutrition, which the GLIM criteria were created to denote. It is noted as well that validation and reliability testing need to occur in a variety of sectors and populations and with diverse persons using GLIM criteria. Conclusion: The guidance presented supports the conduct and publication of quality validation and reliability studies for GLIM.

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MON-PO489: Glim in Practice: Sensibility and Prognostic Value for the Diagnosis of Malnutrition of Gastrointestinal Surgical Patients

Cited by 3 publications

References 0 publications

Global Leadership Initiative on Malnutrition (GLIM): Guidance on validation of the operational criteria for the diagnosis of protein-energy malnutrition in adults

Global Leadership Initiative on Malnutrition (GLIM): Guidance on validation of the operational criteria for the diagnosis of protein-energy malnutrition in adults

Prevalence of Malnutrition and 1‐Year All‐Cause Mortality in Institutionalized Elderly Patients Comparing Different Combinations of the GLIM Criteria

Global Leadership Initiative on Malnutrition (GLIM): Guidance on Validation of the Operational Criteria for the Diagnosis of Protein‐Energy Malnutrition in Adults

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