Literature DB >> 25799486

Diagnostic criteria for malnutrition - An ESPEN Consensus Statement.

T Cederholm1, I Bosaeus2, R Barazzoni3, J Bauer4, A Van Gossum5, S Klek6, M Muscaritoli7, I Nyulasi8, J Ockenga9, S M Schneider10, M A E de van der Schueren11, P Singer12.   

Abstract

OBJECTIVE: To provide a consensus-based minimum set of criteria for the diagnosis of malnutrition to be applied independent of clinical setting and aetiology, and to unify international terminology.
METHOD: The European Society of Clinical Nutrition and Metabolism (ESPEN) appointed a group of clinical scientists to perform a modified Delphi process, encompassing e-mail communications, face-to-face meetings, in group questionnaires and ballots, as well as a ballot for the ESPEN membership. RESULT: First, ESPEN recommends that subjects at risk of malnutrition are identified by validated screening tools, and should be assessed and treated accordingly. Risk of malnutrition should have its own ICD Code. Second, a unanimous consensus was reached to advocate two options for the diagnosis of malnutrition. Option one requires body mass index (BMI, kg/m(2)) <18.5 to define malnutrition. Option two requires the combined finding of unintentional weight loss (mandatory) and at least one of either reduced BMI or a low fat free mass index (FFMI). Weight loss could be either >10% of habitual weight indefinite of time, or >5% over 3 months. Reduced BMI is <20 or <22 kg/m(2) in subjects younger and older than 70 years, respectively. Low FFMI is <15 and <17 kg/m(2) in females and males, respectively. About 12% of ESPEN members participated in a ballot; >75% agreed; i.e. indicated ≥7 on a 10-graded scale of acceptance, to this definition.
CONCLUSION: In individuals identified by screening as at risk of malnutrition, the diagnosis of malnutrition should be based on either a low BMI (<18.5 kg/m(2)), or on the combined finding of weight loss together with either reduced BMI (age-specific) or a low FFMI using sex-specific cut-offs.
Copyright © 2015 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Entities:  

Keywords:  Body composition; Consensus; Definition; Delphi; Malnutrition; Nutritional assessment

Mesh:

Year:  2015        PMID: 25799486     DOI: 10.1016/j.clnu.2015.03.001

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  257 in total

1.  Prediction Model for Screening Patients at Risk of Malnutrition After Gastric Cancer Surgery.

Authors:  Ji-Hyeon Park; Eunjung Kim; Eun-Mi Seol; Seong-Ho Kong; Do Joong Park; Han-Kwang Yang; Jong-Ho Choi; Shin-Hoo Park; Hwi-Nyeong Choe; Meera Kweon; Jiwon Park; Yunhee Choi; Hyuk-Joon Lee
Journal:  Ann Surg Oncol       Date:  2021-01-22       Impact factor: 5.344

2.  Validity of the Self- Mini Nutritional Assessment (Self- MNA) for the Evaluation of Nutritional Risk. A Cross- Sectional Study Conducted in General Practice.

Authors:  L M Donini; W Marrocco; C Marocco; A Lenzi
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

Review 3.  Pharmacokinetics of anaesthetic drugs at extremes of body weight.

Authors:  C P Hebbes; J P Thompson
Journal:  BJA Educ       Date:  2018-10-26

Review 4.  [Nutritional medicine in elderly patients : Advances and challenges].

Authors:  Rainer Wirth; Dorothee Volkert
Journal:  Z Gerontol Geriatr       Date:  2017-06-26       Impact factor: 1.281

5.  Nutritional status in the elderly: misbeliefs, misconceptions and the real world.

Authors:  Mitja Lainscak; Cristiana Vitale
Journal:  Wien Klin Wochenschr       Date:  2016-12       Impact factor: 1.704

Review 6.  Muscle wasting in heart failure : The role of nutrition.

Authors:  Masakazu Saitoh; Marcelo Rodrigues Dos Santos; Stephan von Haehling
Journal:  Wien Klin Wochenschr       Date:  2016-10-19       Impact factor: 1.704

7.  Prevalence of malnutrition in a cohort of 509 patients with acute hip fracture: the importance of a comprehensive assessment.

Authors:  M Díaz de Bustamante; T Alarcón; R Menéndez-Colino; R Ramírez-Martín; Á Otero; J I González-Montalvo
Journal:  Eur J Clin Nutr       Date:  2017-05-17       Impact factor: 4.016

8.  Sarcopenia in systemic sclerosis: the impact of nutritional, clinical, and laboratory features.

Authors:  Claudio Corallo; Antonella Fioravanti; Sara Tenti; Gianluca Pecetti; Ranuccio Nuti; Nicola Giordano
Journal:  Rheumatol Int       Date:  2019-08-01       Impact factor: 2.631

Review 9.  EASL Clinical Practice Guidelines on nutrition in chronic liver disease.

Authors: 
Journal:  J Hepatol       Date:  2018-08-23       Impact factor: 25.083

10.  Effects of synbiotic supplementation on energy and macronutrients homeostasis and muscle wasting of critical care patients: study protocol and a review of previous studies.

Authors:  Najmeh Seifi; Mohammad Safarian; Mohsen Nematy; Reza Rezvani; Majid Khadem-Rezaian; Alireza Sedaghat
Journal:  Trials       Date:  2020-02-24       Impact factor: 2.279

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.