Complementarity of nutrition screening with Global Leadership Initiative on Malnutrition criteria for diagnosing malnutrition in critically ill patients: A comparison study of Nutritional Risk Screening 2002 and modified Nutrition Risk in the Critically Ill Score.

critical care critically ill patients malnutrition nutrition risk predictive value

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:
22 Apr 2024
Historique:
revised: 03 01 2024
received: 25 10 2023
accepted: 15 03 2024
medline: 23 4 2024
pubmed: 23 4 2024
entrez: 22 4 2024
Statut: aheadofprint

Résumé

Critical illness induces hypermetabolism and hypercatabolism, increasing nutrition risk (NR). Early NR identification is crucial for improving outcomes. We assessed four nutrition screening tools (NSTs) complementarity with the Global Leadership Initiative on Malnutrition (GLIM) criteria in critically ill patients. We conducted a comparative study using data from a cohort involving five intensive care units (ICUs), screening patients for NR using NRS-2002 and modified-NUTRIC tools, with three cutoffs (≥3, ≥4, ≥5), and malnutrition diagnosed by GLIM criteria. Our outcomes of interest included ICU and in-hospital mortality, ICU and hospital length of stay (LOS), and ICU readmission. We examined accuracy metrics and complementarity between NSTs and GLIM criteria about clinical outcomes through logistic regression and Cox regression. We established a four-category independent variable: NR(-)/GLIM(-) as the reference, NR(-)/GLIM(+), NR(+)/GLIM(-), and NR(+)/GLIM(+). Of the 377 patients analyzed (median age 64 years [interquartile range: 54-71] and 53.8% male), NR prevalence varied from 87% to 40.6%, whereas 64% presented malnutrition (GLIM criteria). NRS-2002 (score ≥4) showed superior accuracy for GLIM-based malnutrition. Multivariate analysis revealed mNUTRIC(+)/GLIM(+) increased >2 times in the likelihood of ICU and in-hospital mortality, ICU and hospital LOS, and ICU readmission compared with the reference group. No NST exhibited satisfactory complementarity to the GLIM criteria in our study, emphasizing the necessity for comprehensive nutrition assessment for all patients, irrespective of NR status. We recommend using mNUTRIC if the ICU team opts for nutrition screening, as it demonstrated superior prognostic value compared with NRS-2002, and applying GLIM criteria in all patients.

Sections du résumé

BACKGROUND AND AIM OBJECTIVE
Critical illness induces hypermetabolism and hypercatabolism, increasing nutrition risk (NR). Early NR identification is crucial for improving outcomes. We assessed four nutrition screening tools (NSTs) complementarity with the Global Leadership Initiative on Malnutrition (GLIM) criteria in critically ill patients.
METHODS METHODS
We conducted a comparative study using data from a cohort involving five intensive care units (ICUs), screening patients for NR using NRS-2002 and modified-NUTRIC tools, with three cutoffs (≥3, ≥4, ≥5), and malnutrition diagnosed by GLIM criteria. Our outcomes of interest included ICU and in-hospital mortality, ICU and hospital length of stay (LOS), and ICU readmission. We examined accuracy metrics and complementarity between NSTs and GLIM criteria about clinical outcomes through logistic regression and Cox regression. We established a four-category independent variable: NR(-)/GLIM(-) as the reference, NR(-)/GLIM(+), NR(+)/GLIM(-), and NR(+)/GLIM(+).
RESULTS RESULTS
Of the 377 patients analyzed (median age 64 years [interquartile range: 54-71] and 53.8% male), NR prevalence varied from 87% to 40.6%, whereas 64% presented malnutrition (GLIM criteria). NRS-2002 (score ≥4) showed superior accuracy for GLIM-based malnutrition. Multivariate analysis revealed mNUTRIC(+)/GLIM(+) increased >2 times in the likelihood of ICU and in-hospital mortality, ICU and hospital LOS, and ICU readmission compared with the reference group.
CONCLUSION CONCLUSIONS
No NST exhibited satisfactory complementarity to the GLIM criteria in our study, emphasizing the necessity for comprehensive nutrition assessment for all patients, irrespective of NR status. We recommend using mNUTRIC if the ICU team opts for nutrition screening, as it demonstrated superior prognostic value compared with NRS-2002, and applying GLIM criteria in all patients.

Identifiants

pubmed: 38649336
doi: 10.1002/jpen.2629
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : This study received a grant from Fundação de Apoio à Pesquisa do Rio Grande do Sul
ID : FAPERGS - 19/2551-00017898

Informations de copyright

© 2024 American Society for Parenteral and Enteral Nutrition.

Références

Preiser JC, Ichai C, Orban JC, Groeneveld ABJ. Metabolic response to the stress of critical illness. Br J Anaesth. 2014;113(6):945‐954. doi:10.1093/bja/aeu187
McClave SA, Taylor BE, Martindale RG, et al. Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). J Parenter Enteral Nutr. 2016;40(2):159‐211. doi:10.1177/0148607115621863
Lee ZY, Heyland DK. Determination of nutrition risk and status in critically ill patients: what are our considerations? Nutr Clin Pract. 2019;34(1):96‐111. doi:10.1002/ncp.10214
Fazzini B, Märkl T, Costas C, et al. The rate and assessment of muscle wasting during critical illness: a systematic review and meta‐analysis. Crit Care. 2023;27(1):2. doi:10.1186/s13054-022-04253-0
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. J Parenter Enteral Nutr. 2017;41(5):744‐758. doi:10.1177/0148607115625638
Singer P, Blaser AR, Berger MM, et al. ESPEN guideline on clinical nutrition in the intensive care unit. Clin Nutr. 2019;38(1):48‐79. doi:10.1016/j.clnu.2018.08.037
Castro MG, Ribeiro PC, de Matos LBN, et al. Diretriz BRASPEN de Terapia Nutricional no Paciente Grave. Braspen J. 2023;38(Supl 2):2‐46. doi:10.37111/braspenj.diretrizDOENTEGRAVE
Kondrup J. Nutritional risk screening (NRS 2002): a new method based on an analysis of controlled clinical trials. Clin Nutr. 2003;22(3):321‐336. doi:10.1016/s0261-5614(02)00214-5
Heyland DK, Dhaliwal R, Jiang X, Day AG. Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool. Crit Care. 2011;15(6):R268. doi:10.1186/cc10546
Rahman A, Hasan RM, Agarwala R, Martin C, Day AG, Heyland DK. Identifying critically‐ill patients who will benefit most from nutritional therapy: further validation of the “modified NUTRIC” nutritional risk assessment tool. Clin Nutr. 2016;35(1):158‐162. doi:10.1016/j.clnu.2015.01.015
Cederholm T, Jensen GL, Correia MITD, et al. GLIM criteria for the diagnosis of malnutrition – a consensus report from the global clinical nutrition community. Clin Nutr. 2019;38(1):1‐9. doi:10.1016/j.clnu.2018.08.002
Díaz G, T.D. Correia MI, Gonzalez MC, Reyes M. The global leadership initiative on malnutrition criteria for the diagnosis of malnutrition in patients admitted to the intensive care unit: a systematic review and meta‐analysis. Clin Nutr. 2023;42(2):182‐189. doi:10.1016/j.clnu.2022.12.007
Milanez DSJ, Razzera EL, Lima J, Silva FM. Feasibility and criterion validity of the GLIM criteria in the critically ill: a prospective cohort study. J Parenter Enteral Nutr. 2023;47(6):754‐765. doi:10.1002/jpen.2569
Lima J, Brizola Dias AJ, Burgel CF, Bernardes S, Gonzalez MC, Silva FM. Complementarity of nutritional screening tools to GLIM criteria on malnutrition diagnosis in hospitalised patients: a secondary analysis of a longitudinal study. Clin Nutr. 2022;41(10):2325‐2332. doi:10.1016/j.clnu.2022.08.022
Stello BB, Cattani A, Milanez DSJ, Razzera EL, Lima J, Silva FM. Prognostic value of different cut‐off points of the NRS‐2002 tool to identify nutritional risk in critically ill patients: a longitudinal study. Br J Nutr. 2023;130(8):1357‐1365. doi:10.1017/S0007114523000363
Shahbazi S, Hajimohammadebrahim‐Ketabforoush M, Vahdat Shariatpanahi M, Shahbazi E, Vahdat Shariatpanahi Z. The validity of the global leadership initiative on malnutrition criteria for diagnosing malnutrition in critically ill patients with COVID‐19: a prospective cohort study. Clin Nutr ESPEN. 2021;43(30):377‐382. doi:10.1016/j.clnesp.2021.03.020
Keller H, de van der Schueren MAE, Jensen GL, et al. Global Leadership Initiative on Malnutrition (GLIM): guidance on validation of the operational criteria for the diagnosis of protein‐energy malnutrition in adults. J Parenter Enteral Nutr. 2020;44(6):992‐1003. doi:10.1016/j.clnu.2019.12.022
Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985;13(10):818‐829.
Vincent JL, Moreno R, Takala J, et al. The SOFA (Sepsis‐related Organ Failure Assessment) score to describe organ dysfunction/failure: on behalf of the Working Group on Sepsis‐Related Problems of the European Society of Intensive Care Medicine (see contributors to the project in the appendix). Intensive Care Med. 1996;22(7):707‐710. doi:10.1007/BF01709751
Barbosa‐Silva TG, Bielemann RM, Gonzalez MC, Menezes AMB. Prevalence of sarcopenia among community‐dwelling elderly of a medium‐sized South American city: results of theCOMO VAI? Study: sarcopenia prevalence in a South American city. J Cachexia Sarcopenia Muscle. 2016;7(2):136‐143. doi:10.1002/jcsm.12049
Gonzalez MC, Duarte RRP, Budziareck MB. Adductor pollicis muscle: reference values of its thickness in a healthy population. Clin Nutr. 2010;29(2):268‐271. doi:10.1016/j.clnu.2009.08.012
Coltman A, Peterson S, Roehl K, Roosevelt H, Sowa D. Use of 3 tools to assess nutrition risk in the intensive care unit. J Parenter Enteral Nutr. 2015;39(1):28‐33. doi:10.1177/0148607114532135
Rattanachaiwong S, Zribi B, Kagan I, Theilla M, Heching M, Singer P. Comparison of nutritional screening and diagnostic tools in diagnosis of severe malnutrition in critically ill patients. Clin Nutr. 2020;39(11):3419‐3425. doi:10.1016/j.clnu.2020.02.035
Akobeng AK. Understanding diagnostic tests 1: sensitivity, specificity and predictive values. Acta Paediatr. 2007;96(3):338‐341. doi:10.1111/j.1651-2227.2006.00180.x
Xu JY, Zhu MW, Zhang H, et al. A cross‐sectional study of GLIM‐defined malnutrition based on new validated calf circumference cut‐off values and different screening tools in hospitalised patients over 70 years old. J Nutr Health Aging. 2020;24(8):832‐838. doi:10.1007/s12603-020-1386-4
Gonzalez MC, Bielemann RM, Kruschardt PP, Orlandi SP. Complementarity of NUTRIC score and Subjective Global Assessment for predicting 28‐day mortality in critically ill patients. Clin Nutr. 2019;38(6):2846‐2850. doi:10.1016/j.clnu.2018.12.017
Lew CCH, Cheung KP, Chong MFF, Chua AP, Fraser RJL, Miller M. Combining 2 commonly adopted nutrition instruments in the critical care setting is superior to administering either one alone. J Parenter Enteral Nutr. 2018;42(5):872‐876. doi:10.1177/0148607117726060
Kondrup J. Nutrition risk screening in the ICU. Curr Opin Clin Nutr Metab Care. 2019;22(2):159‐161. doi:10.1097/MCO.0000000000000551
Caporossi FS, Caporossi C, Borges Dock‐Nascimento D, de Aguilar‐Nascimento JE. Measurement of the thickness of the adductor pollicis muscle as a predictor of outcome in critically ill patients. Nutr Hosp. 2012;27(2):490‐495. doi:10.1590/S0212-16112012000200021
Ghorabi S, Ardehali H, Amiri Z, Vahdat Shariatpanahi Z. Association of the adductor pollicis muscle thickness with clinical outcomes in intensive care unit patients. Nutr Clin Pract. 2016;31(4):523‐526. doi:10.1177/0884533615621547

Auteurs

Estéfani Foletto (E)

Nutrition Department, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil.

Simone Bernardes (S)

Nutrition Department, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil.

Danielle Silla Jobim Milanez (DSJ)

Nutrition Department, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil.

Elisa Loch Razzera (EL)

Nutrition Department, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil.

Flávia Moraes Silva (FM)

Nutrition Department, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil.

Classifications MeSH