Malnutrition as a Strong Predictor of the Onset of Sarcopenia

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

doi:10.3390/nu11122883

Cited by 156 publications

(155 citation statements)

References 49 publications

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“…According to the GLIM framework, 46% of patients were identified as malnourished when using combinations of two criteria. This prevalence could be apparently high as compared with previous studies which used the GLIM criteria for the diagnosis of malnutrition [5,[25][26][27]. Nevertheless, this investigation focused on a special population that presented with a high prevalence of etiologic GLIM criteria for malnutrition.…”

Section: Discussionmentioning

confidence: 86%

Comparison of Three Nutritional Screening Tools with the New Glim Criteria for Malnutrition and Association with Sarcopenia in Hospitalized Older Patients

Bellanti

Buglio

Quiete

et al. 2020

JCM

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The integrated assessment of nutritional status and presence of sarcopenia would help improve clinical outcomes of in-hospital aged patients. We compared three common nutritional screening tools with the new Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria among hospitalized older patients. To this, 152 older patients were assessed consecutively at hospital admission by the Malnutrition Universal Screening Tool (MUST), the Subjective Global Assessment (SGA), and the Nutritional Risk Screening 2002 (NRS-2002). A 46% prevalence of malnutrition was reported according to GLIM. Sensitivity was 64%, 96% and 47%, and specificity was 82%, 15% and 76% with the MUST, SGA, and NRS-2002, respectively. The concordance with GLIM criteria was 89%, 53% and 62% for the MUST, SGA, and NRS-2002, respectively. All the screening tools had a moderate value to diagnose malnutrition. Moreover, patients at high nutritional risk by MUST were more likely to present with sarcopenia than those at low risk (OR 2.5, CI 1.3-3.6). To conclude, MUST is better than SGA and NRS-2002 at detecting malnutrition in hospitalized older patients diagnosed by the new GLIM criteria. Furthermore, hospitalized older patients at high risk of malnutrition according to MUST are at high risk of presenting with sarcopenia. Nutritional status should be determined by MUST in older patients at hospital admission, followed by both GLIM and the European Working Group on Sarcopenia in Older People (EWGSOP2) assessment.

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Section: Discussionmentioning

confidence: 86%

Comparison of Three Nutritional Screening Tools with the New Glim Criteria for Malnutrition and Association with Sarcopenia in Hospitalized Older Patients

Bellanti

Buglio

Quiete

et al. 2020

JCM

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“…38,39 Data from our research group indicate that GLIM criteria are also strong predictors of the onset of sarcopenia, as they were associated with an approximately four-fold higher risk of developing sarcopenia and severe sarcopenia during a 4-year follow-up. 40 Surprisingly, no association was found between malnutrition and institutionalization, hospitalization, falls, and fractures. This lack of association might be a bias due to the 45 subjects lost to follow-up, who were not included in the analyses; those individuals who were more likely to present adverse health consequences might have been lost for the analysis.…”

Section: Discussionmentioning

confidence: 98%

Mortality in malnourished older adults diagnosed by ESPEN and GLIM criteria in the SarcoPhAge study

Sánchez-Rodríguez

Locquet

Reginster

et al. 2020

J cachexia sarcopenia muscle

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Background The Global Leadership Initiative on Malnutrition (GLIM) criteria have been recently launched by consensus of the major nutrition societies. GLIM criteria are partly constructed on the previous definition of malnutrition developed by the European Society of Clinical Nutrition and Metabolism (ESPEN). We aimed to assess malnutrition according to the ESPEN and GLIM criteria at baseline and to determine the corresponding risk of mortality during a 4-year follow-up in community-dwelling older adults from the SarcoPhAge (Sarcopenia and Physical Impairment with advancing Age) study. The relationship between malnutrition and incidence of 4-year adverse health consequences (institutionalization, hospitalization, falls, and fractures) was assessed. Methods This prospective population-based cohort was part of SarcoPhAge, which included 534 older adults in Belgium, followed up from 2013 to 2019. Community-dwelling healthy volunteers ≥65 years old were recruited. Mortality and adverse health consequences were collected annually by interview or phone call. Baseline malnutrition was defined according to the GLIM and ESPEN criteria. Agreement between the two definitions was reported by Cohen's kappa coefficient. Adjusted Cox regression and Kaplan-Meier survival curves were performed for malnutrition. Logistic regression was used for the other outcomes. Results From 534 subjects in SarcoPhAge, the records for 411 participants (73.2 ± 6.05 years old; 55.7% women) had all the variables needed to apply the GLIM criteria. Prevalence of baseline malnutrition was 23.4% for GLIM and 7% for ESPEN criteria (k = 0.30, low agreement). The adjusted Cox regression showed a significant increased mortality risk according to malnutrition status as defined by the GLIM [adjusted hazard ratio = 4.41 (95% confidence interval: 2.17-8.97)] and ESPEN [adjusted hazard ratio = 2.76 (95% confidence interval: 1.16-6.58)] criteria. Survival curves differed significantly between malnourished and non-malnourished groups, regardless of the definition used (log rank P < 0.001 for both). No association was found between baseline malnutrition according to these two criteria and 4-year risk of institutionalization, hospitalization, falls, or fractures (all P > 0.05). Conclusions Malnutrition according to the GLIM criteria was associated with a 4.4-fold higher mortality risk, double that of the ESPEN criteria, during a 4-year follow-up. No association was found between malnutrition according to these two criteria and incidence of other health adverse consequences. GLIM criteria anticipate mortality and might guide interventions, with important implications for clinical practice and research.

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“…Vincenzo et al found that malnutrition increased the incidence of sarcopenia in older adults, MNA-SF (OR = 0.57, 95% CI 0.34-0.96) was one of the related factors associated to sarcopenia [37]. Similarly, the risk of developing sarcopenia in elderly patients with poor nutritional status almost a fourfold increase according to a study conducted by Charlotte et al [38].…”

Section: Discussionmentioning

confidence: 95%

Frailty and sarcopenia in elderly non-dialysis patients with chronic kidney disease stage 3-5: a cross sectional study

Chang

Wang

Hou

et al. 2020

Preprint

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Background With the aging of the population, chronic kidney disease (CKD) and sarcopenia are the common diseases among the elderly. Non-dialysis patients with CKD account for a relatively high proportion, and the analysis of their general clinical characteristics has been more familiar. However, the study of sarcopenia in non-dialysis with CKD is not enough. Methods This is a cross sectional study. Non-dialysis patients with CKD stage 3–5 were continuously selected. Patients were divided into 3 groups based on the Fried scale, Non-frail group, Pre-frail group and Frail group. At the same time, muscle mass of the hospitalized patients was measured by dual-energy X-ray absorptiometry (DXA), and according to the test results, they were divided into sarcopenia and non-sarcopenia group. Baseline data and the measurement of the sarcopenia of the two groups were analyzed. Results A total of 102 elderly patients with chronic kidney disease stage 3–5 were continuously enrolled. There were 21 patients (20.6%) categorized as sarcopenia, 81 patients (79.4%) categorized as non-sarcopenia according to the measurement results of DXA. Frailty was assessed by the criteria of frailty phenotype, there were 13 patients of sarcopenia in the frail group, 6 patients of sarcopenia in the pre-frail group, and 2 patients of sarcopenia in the non-frail group, accounting for 31.7%, 20.0%, 6.5%, respectively. Moreover, the analysis of the related risk factors of sarcopenia showed that body mass index (BMI)༜23 kg/m2(OR = 3.82, 95%CI 1.33–10.97, P = 0.013), MNA-SF ≤ 11(OR = 3.97, 95%CI 1.08–14.58, P = 0.038) were the independent risk factors for sarcopenia in non-dialysis patients with chronic kidney disease stage 3–5. Conclusions The prevalence of sarcopenia in elderly non-dialysis patients with chronic kidney disease stage 3–5 was high, and sarcopenia was common in the frail patients. BMI༜23 kg/m2 and MNA-SF ≤ 11were the independent risk factors for sarcopenia in non-dialysis patients with chronic kidney disease stage 3–5.

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Malnutrition as a Strong Predictor of the Onset of Sarcopenia

Cited by 156 publications

References 49 publications

Comparison of Three Nutritional Screening Tools with the New Glim Criteria for Malnutrition and Association with Sarcopenia in Hospitalized Older Patients

Comparison of Three Nutritional Screening Tools with the New Glim Criteria for Malnutrition and Association with Sarcopenia in Hospitalized Older Patients

Mortality in malnourished older adults diagnosed by ESPEN and GLIM criteria in the SarcoPhAge study

Frailty and sarcopenia in elderly non-dialysis patients with chronic kidney disease stage 3-5: a cross sectional study

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