Global Leadership Initiative on Malnutrition criteria with different muscle assessments including muscle ultrasound with hospitalized internal medicine patients.
GLIM criteria
Global Leadership Initiative on Malnutrition
hospitalized patients
malnutrition
muscle mass
muscle ultrasound
Journal
JPEN. Journal of parenteral and enteral nutrition
ISSN: 1941-2444
Titre abrégé: JPEN J Parenter Enteral Nutr
Pays: United States
ID NLM: 7804134
Informations de publication
Date de publication:
05 2022
05 2022
Historique:
pubmed:
22
7
2021
medline:
28
5
2022
entrez:
21
7
2021
Statut:
ppublish
Résumé
The aim of this study is to identify cutoff values for muscle ultrasound (US) to be used in Global Leadership Initiative on Malnutrition (GLIM) criteria, and to define the effect of reduced muscle mass assessment on malnutrition prevalence at hospital admission. A total of 118 inpatients were enrolled in this cross-sectional study. Six different muscles were evaluated by US. Following defining thresholds for muscle US to predict low muscle mass measured by bioelectrical impedance analysis, malnutrition was diagnosed by GLIM criteria with seven approaches, including calf circumference, mid-upper arm circumference (MAC), handgrip strength (HGS), skeletal muscle index (SMI), rectus femoris (RF) muscle thickness, and cross-sectional area (CSA) in addition to without using the reduced muscle mass criterion. The median age of patients was 64 (18-93) years, 55.9% were female. RF muscle thickness had moderate positive correlations with both HGS (r = 0.572) and SMI (r = 0.405). RF CSA had moderate correlation with HGS (r = 0.567) and low correlation with SMI (r = 0.389). The cutoff thresholds were 11.3 mm (area under the curve [AUC] = 0.835) and 17 mm (AUC = 0.737) for RF muscle thickness and 4 cm² (AUC = 0.937) and 7.2 cm² (AUC = 0.755) for RF CSA in females and males, respectively. Without using the reduced muscle mass criterion, malnutrition prevalence was 46.6%; otherwise, it ranged from 47.5% (using MAC) to 65.2% (using HGS). Muscle US may be used in GLIM criteria. However, muscle US needs a standard measurement technique and specific cutoff values in future studies.
Sections du résumé
BACKGROUND
The aim of this study is to identify cutoff values for muscle ultrasound (US) to be used in Global Leadership Initiative on Malnutrition (GLIM) criteria, and to define the effect of reduced muscle mass assessment on malnutrition prevalence at hospital admission.
METHODS
A total of 118 inpatients were enrolled in this cross-sectional study. Six different muscles were evaluated by US. Following defining thresholds for muscle US to predict low muscle mass measured by bioelectrical impedance analysis, malnutrition was diagnosed by GLIM criteria with seven approaches, including calf circumference, mid-upper arm circumference (MAC), handgrip strength (HGS), skeletal muscle index (SMI), rectus femoris (RF) muscle thickness, and cross-sectional area (CSA) in addition to without using the reduced muscle mass criterion.
RESULTS
The median age of patients was 64 (18-93) years, 55.9% were female. RF muscle thickness had moderate positive correlations with both HGS (r = 0.572) and SMI (r = 0.405). RF CSA had moderate correlation with HGS (r = 0.567) and low correlation with SMI (r = 0.389). The cutoff thresholds were 11.3 mm (area under the curve [AUC] = 0.835) and 17 mm (AUC = 0.737) for RF muscle thickness and 4 cm² (AUC = 0.937) and 7.2 cm² (AUC = 0.755) for RF CSA in females and males, respectively. Without using the reduced muscle mass criterion, malnutrition prevalence was 46.6%; otherwise, it ranged from 47.5% (using MAC) to 65.2% (using HGS).
CONCLUSIONS
Muscle US may be used in GLIM criteria. However, muscle US needs a standard measurement technique and specific cutoff values in future studies.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
936-945Informations de copyright
© 2021 American Society for Parenteral and Enteral Nutrition.
Références
Dent E, Hoogendijk EO, Visvanathan R, Wright ORL. Malnutrition screening and assessment in hospitalised older people: a review. J Nutr Health Aging. 2019;23(5):431-441.
Correia M, Perman MI, Waitzberg DL. Hospital malnutrition in Latin America: a systematic review. Clin Nutr. 2017;36(4):958-967.
Inciong JFB, Chaudhary A, Hsu HS, et al. Hospital malnutrition in northeast and southeast Asia: a systematic literature review. Clin Nutr ESPEN. 2020;39:30-45.
Cederholm T, Barazzoni R, Austin P, et al. ESPEN guidelines on definitions and terminology of clinical nutrition. Clin Nutr. 2017;36(1):49-64.
Lew CCH, Yandell R, Fraser RJL, Chua AP, Chong MFF, Miller M. Association between malnutrition and clinical outcomes in the intensive care unit: a systematic review [formula: see text]. JPEN J Parenter Enteral Nutr. 2017;41(5):744-758.
Jensen GL, Cederholm T, Correia M, et al. GLIM criteria for the diagnosis of malnutrition: a consensus report from the global clinical nutrition community. JPEN J Parenter Enteral Nutr. 2019;43(1):32-40.
Galindo Martín CA, Monares Zepeda E, Lescas Méndez OA. Bedside ultrasound measurement of rectus femoris: a tutorial for the nutrition support clinician. J Nutr Metab. 2017;2017:2767232.
Li RY, He HW, Sun JH, Li Q, Long Y, Liu HP. Clinical value of early bedside ultrasound measurement of quadriceps femoris in diagnosis of ICU-acquired weakness. Article in Chinese. Zhonghua Yi Xue Za Zhi. 2020;100(25):1967-1972.
Cruz-Jentoft AJ, Bahat G, Bauer J, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019;48(1):16-31.
Ticinesi A, Meschi T, Maggio M, Narici MV. Application of ultrasound for muscle assessment in sarcopenia: the challenge of implementing protocols for clinical practice. Eur Geriatr Med. 2019;10(1):155-156.
Bahat G, Tufan A, Tufan F, et al. Cut-off points to identify sarcopenia according to European Working Group on sarcopenia in older people (EWGSOP) definition. Clin Nutr. 2016;35(6):1557-1563.
Bolayir B, Arik G, Yeşil Y, et al. Validation of nutritional risk screening-2002 in a hospitalized adult population. Nutr Clin Pract. 2019;34(2):297-303.
Sarikaya D, Halil M, Kuyumcu ME, et al. Mini nutritional assessment test long and short form are valid screening tools in Turkish older adults. Arch Gerontol Geriatr. 2015;61(1):56-60.
Duan K, Gao X, Zhu D. The clinical relevance and mechanism of skeletal muscle wasting. Clin Nutr. 2021;40(1):27-37.
Walowski CO, Braun W, Maisch MJ, et al. Reference values for skeletal muscle mass - current concepts and methodological considerations. Nutrients. 2020;12(3):755.
Ceniccola GD, Castro MG, Piovacari SMF, et al. Current technologies in body composition assessment: advantages and disadvantages. Nutrition. 2019;62:25-31.
Ticinesi A, Meschi T, Narici MV, Lauretani F, Maggio M. Muscle ultrasound and sarcopenia in older individuals: a clinical perspective. J Am Med Dir Assoc. 2017;18(4):290-300.
Weinel LM, Summers MJ, Chapple LA. Ultrasonography to measure quadriceps muscle in critically ill patients: a literature review of reported methodologies. Anaesth Intensive Care. 2019;47(5):423-434.
Wilkinson TJ, Gore EF, Vadaszy N, Nixon DGD, Watson EL, Smith AC. Utility of ultrasound as a valid and accurate diagnostic tool for sarcopenia: sex-specific cutoff values in chronic kidney disease. J Ultrasound Med. 2021;40(3):457-467.
Paris MT, Mourtzakis M, Day A, et al. Validation of bedside ultrasound of muscle layer thickness of the quadriceps in the critically ill patient (VALIDUM Study). JPEN J Parenter Enteral Nutr. 2017;41(2):171-180.
Yuguchi S, Asahi R, Kamo T, Azami M, Ogihara H. Gastrocnemius thickness by ultrasonography indicates the low skeletal muscle mass in Japanese elderly people. Arch Gerontol Geriatr. 2020;90:104093.
Perkisas S, Bastijns S, Baudry S, et al. Application of ultrasound for muscle assessment in sarcopenia: 2020 SARCUS update. Eur Geriatr Med. 2021;12(1):45-59.
Sengul Aycicek G, Ozsurekci C, Caliskan H, et al. Ultrasonography versus bioelectrical impedance analysis: which predicts muscle strength better? Acta Clin Belg. 2021;76(3):204-208.
Deniz O, Cruz-Jentoft A, Sengul Aycicek G, et al. Role of ultrasonography in estimating muscle mass in sarcopenic obesity. JPEN J Parenter Enteral Nutr. 2020;44(8):1398-1406.
Nijholt W, Beek LT, Hobbelen JSM, et al. The added value of ultrasound muscle measurements in patients with COPD: an exploratory study. Clin Nutr ESPEN. 2019;30:152-158.
Rustani K, Kundisova L, Capecchi PL, Nante N, Bicchi M. Ultrasound measurement of rectus femoris muscle thickness as a quick screening test for sarcopenia assessment. Arch Gerontol Geriatr. 2019;83:151-154.
Seymour JM, Ward K, Sidhu PS, et al. Ultrasound measurement of rectus femoris cross-sectional area and the relationship with quadriceps strength in COPD. Thorax. 2009;64(5):418-423.
Takai Y, Ohta M, Akagi R, et al. Applicability of ultrasound muscle thickness measurements for predicting fat-free mass in elderly population. J Nutr Health Aging. 2014;18(6):579-585.
Abe T, Patterson KM, Stover CD, et al. Site-specific thigh muscle loss as an independent phenomenon for age-related muscle loss in middle-aged and older men and women. Age (Dordr). 2014;36(3):9634.
Berger J, Bunout D, Barrera G, et al. Rectus femoris (RF) ultrasound for the assessment of muscle mass in older people. Arch Gerontol Geriatr. 2015;61(1):33-38.
Wilkinson TJ, Gore EF, Vadaszy N, Nixon DGD, Watson EL, Smith AC. Utility of ultrasound as a valid and accurate diagnostic tool for sarcopenia: sex-specific cutoff values in chronic kidney disease. J Ultrasound Med. 2021;40(3):457-467.
Sahathevan S, Khor BH, Yeong CH, et al. Validity of ultrasound imaging in measuring quadriceps muscle thickness and cross-sectional area in patients receiving maintenance hemodialysis. JPEN J Parenter Enteral Nutr. 2021;45(2):422-426.
Ata AM, Kara M, Kaymak B, et al. Regional and total muscle mass, muscle strength and physical performance: the potential use of ultrasound imaging for sarcopenia. Arch Gerontol Geriatr. 2019;83:55-60.
Kara M, Ata AM, Kaymak B, Özçakar L. Ultrasound imaging and rehabilitation of muscle disorders: part 2: nontraumatic conditions. Am J Phys Med Rehabil. 2020;99(7):636-644.
Nijholt W, Scafoglieri A, Jager-Wittenaar H, Hobbelen JSM, van der Schans CP. The reliability and validity of ultrasound to quantify muscles in older adults: a systematic review. J Cachexia Sarcopenia Muscle. 2017;8(5):702-712.
Ponti F, De Cinque A, Fazio N, Napoli A, Guglielmi G, Bazzocchi A. Ultrasound imaging, a stethoscope for body composition assessment. Quant Imaging Med Surg. 2020;10(8):1699-1722.
Kumar R, Shah TH, Hadda V, et al. Assessment of quadriceps muscle thickness using bedside ultrasonography by nurses and physicians in the intensive care unit: intra- and inter-operator agreement. World J Crit Care Med. 2019;8(7):127-134.
Boulhosa R, Lourenço RP, Côrtes DM, Oliveira LPM, Lyra AC, de Jesus RP. Comparison between criteria for diagnosing malnutrition in patients with advanced chronic liver disease: GLIM group proposal versus different nutritional screening tools. J Hum Nutr Diet. 2020;33(6):862-868.
Rosato E, Gigante A, Gasperini ML, Proietti L, Muscaritoli M. Assessing malnutrition in systemic sclerosis with global leadership initiative on malnutrition and european society of clinical nutrition and metabolism criteria. JPEN J Parenter Enteral Nutr. 2021;45(3):618-624.
Fiorindi C, Luceri C, Dragoni G, et al. GLIM criteria for malnutrition in surgical IBD patients: a pilot study. Nutrients. 2020;12(8):2222.
Yin L, Lin X, Li N, et al. Evaluation of the global leadership initiative on malnutrition criteria using different muscle mass indices for diagnosing malnutrition and predicting survival in lung cancer patients. JPEN J Parenter Enteral Nutr. 2021;45(3):607-617.
Yilmaz M, Atilla FD, Sahin F, Saydam G. The effect of malnutrition on mortality in hospitalized patients with hematologic malignancy. Support Care Cancer. 2020;28(3):1441-1448.
Clark AB, Reijnierse EM, Lim WK, Maier AB. Prevalence of malnutrition comparing the GLIM criteria, ESPEN definition and MST malnutrition risk in geriatric rehabilitation patients: RESORT. Clin Nutr. 2020;39(11):3504-3511.
Kootaka Y, Kamiya K, Hamazaki N, et al. The GLIM criteria for defining malnutrition can predict physical function and prognosis in patients with cardiovascular disease. Clin Nutr. 2021;40(1):146-152.
Maeda K, Ishida Y, Nonogaki T, Mori N. Reference body mass index values and the prevalence of malnutrition according to the global leadership initiative on malnutrition criteria. Clin Nutr. 2020;39(1):180-184.
Balci C, Bolayir B, Eşme M, et al. Comparison of the efficacy of the global leadership initiative on malnutrition criteria, subjective global assessment, and nutrition risk screening 2002 in diagnosing malnutrition and predicting 5-year mortality in patients hospitalized for acute illnesses. JPEN J Parenter Enteral Nutr. Published online September 11, 2020. https://doi.org/10.1002/jpen.2016
Contreras-Bolívar V, Sánchez-Torralvo FJ, Ruiz-Vico M, et al. GLIM criteria using hand grip strength adequately predict six-month mortality in cancer inpatients. Nutrients. 2019;11(9):2043.
Cederholm T, Barazzoni R. A year with the GLIM diagnosis of malnutrition - does it work for older persons? Curr Opin Clin Nutr Metab Care. 2021;24(1):4-9.