Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle mass

Sánchez-Rodríguez, Dolores; Locquet, Médéa; Bruyère, Olivier; Lengelé, Laetitia; Cavalier, Étienne; Reginster, Jean‐Yves; Beaudart, Charlotte

doi:10.1016/j.clnu.2020.09.047

Cited by 24 publications

(27 citation statements)

References 68 publications

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“…However, these devices are not readily available within all clinical settings; therefore, subjective physical examination or anthropometric measures are suggested as suitable alternatives [ 14 ]. Previous studies have shown pragmatic muscle assessment using various anthropometrical measures within the GLIM diagnosis is predictive of mortality [ 20 , 36 ]. Similarly, our study has demonstrated that pragmatic muscle assessment using the physical assessment of the PG-SGA is also predictive of mortality and unplanned admission or readmission when used to diagnose malnutrition according to the GLIM and ICD-10 criteria, supporting its use in clinical practice.…”

Section: Discussionmentioning

confidence: 99%

Comparison of the GLIM, ESPEN and ICD-10 Criteria to Diagnose Malnutrition and Predict 30-Day Outcomes: An Observational Study in an Oncology Population

et al. 2021

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The Global Leadership Initiative on Malnutrition (GLIM) criteria are consensus criteria for the diagnosis of malnutrition. This study aimed to investigate and compare the prevalence of malnutrition using the GLIM, European Society for Clinical Nutrition and Metabolism (ESPEN) and International Statistical Classification of Diseases version 10 (ICD-10) criteria; compare the level of agreement between these criteria; and identify the predictive validity of each set of criteria with respect to 30-day outcomes in a large cancer cohort. GLIM, ESPEN and ICD-10 were applied to determine the prevalence of malnutrition in 2794 participants from two cancer malnutrition point prevalence studies. Agreement between the criteria was analysed using the Cohen’s Kappa statistic. Binary logistic regression models were used to determine the ability of each set of criteria to predict 30-day mortality and unplanned admission or readmission. GLIM, ESPEN and ICD-10 criteria identified 23.0%, 5.5% and 12.6% of the cohort as malnourished, respectively. Slight-to-fair agreement was reported between the criteria. All three criteria were predictive of mortality, but only the GLIM and ICD-10 criteria were predictive of unplanned admission or readmission at 30 days. The GLIM criteria identified the highest prevalence of malnutrition and had the greatest predictive ability for mortality and unplanned admission or readmission in an oncology population.

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Section: Discussionmentioning

confidence: 99%

Comparison of the GLIM, ESPEN and ICD-10 Criteria to Diagnose Malnutrition and Predict 30-Day Outcomes: An Observational Study in an Oncology Population

et al. 2021

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“…In the of data on weight history, this consensus recommends the use of BMI < 20 kg/m mary criterion [11]. These criteria required specific equipment to assess muscle In patients with cancer, the assessment of malnutrition should be a fundamental and mandatory part of the clinical evaluation, since nutritional and metabolic disorders are associated with a negative effect on clinical outcomes [1,41] such as a longer length of hospital stay [42], increased infection and hospital readmissions [43], postoperative complications [42,44], and mortality [43,[45][46][47]. The ESPEN guidelines on nutrition in cancer patients launched in 2016 aimed to provide precise recommendations for the multimodal nutritional management [41].…”

Section: Cancer Cachexiamentioning

confidence: 99%

Sarcopenia, Malnutrition, and Cachexia: Adapting Definitions and Terminology of Nutritional Disorders in Older People with Cancer

et al. 2021

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The recent publication of the revised Consensus on definition and diagnosis of sarcopenia (EWGSOP2) and the Global Leadership Initiative on Malnutrition (GLIM) criteria changed the approach to research on sarcopenia and malnutrition. Whilst sarcopenia is a nutrition-related disease, malnutrition and cachexia are nutritional disorders sharing the common feature of low fat-free mass. However, they have differential characteristics and etiologies, as well as specific therapeutic approaches. Applying the current definitions in clinical practice is still a challenge for health professionals and the potential for misdiagnosis is high. This is of special concern in the subgroup of older people with cancer, in which sarcopenia, malnutrition, and cancer cachexia are highly prevalent and can overlap or occur separately. The purpose of this review is to provide an updated overview of the latest research and consensus definitions of sarcopenia, malnutrition, and cachexia and to discuss their implications for clinical practice in older patients with cancer. The overall aim is to improve the quality of nutritional care in light of the latest findings.

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“…It was reported that the GLIM criteria without RMM were less sensitive than the GLIM criteria with RMM [ 22 , 23 ]. Wang Y et al revealed that any use of an indicator of RMM (calf circumference, FFMI, and SMI) increased the sensitivity of diagnosing malnutrition compared with GLIM criteria that excluded RMM, which yielded results that were in better accordance with PG-SGA [ 23 ].…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies reported the association between GLIM-defined malnutrition and survival [ 22 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ], length of hospital stay [ 29 ], and postoperative pulmonary complication [ 25 ]. Our study showed that, regarding patients who had GI and HBP cancers, patients who were malnourished according to the GLIM criteria were associated with a shorter survival compared to patients who were non-malnourished.…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of Cutoff Value for Reduced Muscle Mass for GLIM Criteria in Patients with Gastrointestinal and Hepatobiliary–Pancreatic Cancers

et al. 2022

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The Global Leadership Initiative on Malnutrition (GLIM) criteria recommends using race- and sex-adjusted cutoff values for reduced muscle mass (RMM), but the only cutoff values available for Asians are the skeletal muscle mass index (SMI) established by the Asian Working Group for Sarcopenia (AWGS). This retrospective study aimed to develop and validate cutoff values for the fat-free mass index (FFMI) and arm circumference (AC) of Asians, and to investigate the association between GLIM malnutrition and prognosis. A total of 660 patients with primary gastrointestinal (GI) and hepatobiliary–pancreatic (HBP) cancers who underwent their first resection surgery were recruited and randomly divided into development and validation groups. The FFMI and AC cutoff values were calculated by receiver operating characteristic curve analysis for the AWGS SMI as the gold standard. The cutoff values for each RMM were used to diagnose malnutrition on the basis of GLIM criteria, and the survival rates were compared. The optimal FFMI cutoff values for RMM were 17 kg/m2 for men and 15 kg/m2 for women, and for AC were 27 cm for men and 25 cm for women. In the validation group, the accuracy of the FFMI and AC cutoff values to discriminate RMM were 85.2% and 68.8%, respectively. Using any of the three measures of RMM, overall survival rates were significantly lower in the GLIM malnutrition group. In conclusion, the cutoff values for the FFMI and AC in this study could discriminate RMM, and GLIM malnutrition using these cutoff values was associated with decreased survival.

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Prediction of 5-year mortality risk by malnutrition according to the GLIM format using seven pragmatic approaches to define the criterion of loss of muscle mass

Cited by 24 publications

References 68 publications

Comparison of the GLIM, ESPEN and ICD-10 Criteria to Diagnose Malnutrition and Predict 30-Day Outcomes: An Observational Study in an Oncology Population

Comparison of the GLIM, ESPEN and ICD-10 Criteria to Diagnose Malnutrition and Predict 30-Day Outcomes: An Observational Study in an Oncology Population

Sarcopenia, Malnutrition, and Cachexia: Adapting Definitions and Terminology of Nutritional Disorders in Older People with Cancer

Development and Validation of Cutoff Value for Reduced Muscle Mass for GLIM Criteria in Patients with Gastrointestinal and Hepatobiliary–Pancreatic Cancers

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