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Artigo de revisão

Parameters for nutritional status monitoring in critically ill older adults: an integrative review

Parâmetros de monitoramento do estado nutricional de idosos em estado crítico: uma revisão integrativa

Vivian Plaça Teixeira; Ivone Mayumi Ikeda Morimoto

DOI: 10.5327/Z2447-211520181700087


This integrative review was conducted to identify alternative tools for nutritional screening/evaluation of critically ill elderly patients that might overcome the limitations of traditional parameters. Four databases were searched. The criteria for inclusion were original articles, with full text available, published in Portuguese and English between 2013 and 2017. The search terms were: “elderly AND critical ill AND nutritional assessment” and “elderly AND intensive care AND nutritional assessment”. Nine articles were selected and divided between those using conventional and those using alternative nutritional parameters. At the end of I— the article selection stage, we found that none of the included studies used bioelectrical impedance analysis (BIA). Thus, an additional search was conducted, using the keywords “bioelectrical impedance analysis”, “bioelectrical impedance vector analysis”,“phase angle”, and “intensive care”, and articles related to the topic of interest were included. Studies using the Nutrition Risk in J2 Critical Ill (NUTRIC) score, which includes the Acute Physiology and Chronic Health Classification System II (APACHE II) and Sepsis-related Organ Failure Assessment (SOFA) scores, as well as those using either of these scores alone, presented good results. Although the final SOFA value remained the same in the studies included in this review, this instrument may be promising. We suggest that future research should explore the use of BIA (and its derived parameters, such as phase angle and bioelectrical impedance vector analysis - BIVA) and combinations of the NUTRIC score with phase angle and/or BIVA in critically ill elderly patients with decreased level of consciousness and/or edema.

Keywords: aging; intensive care units; nutrition assessment.


Revisão integrativa realizada com a finalidade de identificar as ferramentas de triagem/avaliação nutricional do paciente idoso em estado crítico que constituem alternativas às limitações dos parâmetros tradicionais. Foram utilizadas quatro bases de dados e critérios de inclusão de artigos originais disponíveis na íntegra referentes à temática, em português e inglês, entre 2013 e 2017. As palavras-chave foram: “elderly AND critical ill AND nutritional assessment” e “elderly AND intensive care AND nutritional assessment”. Nove artigos foram selecionados e divididos entre os que utilizaram parâmetros nutricionais convencionais e alternativos. Observou-se, no final do desenvolvimento, a ausência de estudos que utilizaram a análise da bioimpedância elétrica 2 (BIA) e foram incluídos na discussão os artigos viáveis à temática do trabalho, segundo as palavras-chave “bioelectrical impedanceanalysis”, “bioelectrical impedance vectorial analysis”, “phase angle” e “intensive care”. Os estudos que utilizaram o escore NutritionRisk in Critically ill (NUTRIC), que inclui os escores Acute Physiology and Chronic Health disease Classification System II(APACHE II) e Sepsis-related Organ Failure Assessment(SOFA), e os que utilizaram esses escores isoladamente apresentaram bons resultados. Apesar do valor final do SOFA ter se mantido o mesmo nos estudos incluídos neste trabalho, nota-se que esse instrumento pode ser promissor. Sugere-se a exploração de estudos que avaliem a utilização da BIA, em pacientes idosos graves, da qual derivam o ângulo de fase, a análise vetorial da bioimpedância elétrica (BIVA) e outros que avaliem o NUTRIC associado ao ângulo de fase e/ou BIVA, nos pacientes críticos com baixo nível de consciência e/ou edema.

Palavras-chave: envelhecimento; unidades de terapia intensiva; avaliação nutricional.


Both population aging and the longevity of the world’s population have grown rapidly. According to statistical projections by the United Nations in Brazil, the world’s elderly population is expected to reach 2 billion by 2050.1

Physiological changes resulting from aging, compounded by multiple chronic diseases, polypharmacy, bone and degenerative diseases that affect mobility, as well as psychological issues and loss of appetite, mean that older adults are prone to various deficits, at a higher risk of being hospitalized, and vulnerable to nutritional problems. Reduced capacity for rehabilitation after an acute event is a characteristic of old age, which makes it more difficult to restore elderly patients to their premorbid condition.2,3 Nevertheless, the significance of nutrition in the hospital setting, especially in intensive care units (ICUs), should not be underestimated.

Critical illness is usually associated with a state of catabolic stress, systemic inflammatory response, increased rate of infectious morbidity, multiple organ dysfunction, and prolonged hospitalization. Currently, nutritional interventions for critical patients are geared to attenuating the metabolic response to stress, preventing oxidative cell injury and modulating the immune response favorably.4

An accurate nutritional diagnosis can guide nutritional management for maximal adequacy. There are a number of validated nutritional screening tools that aim to detect the presence or risk of malnutrition. Anthropometric parameters, biochemistry tests, clinical and physical examination, and dietary assessment help in the diagnosis and monitoring of nutritional status.5 However, in the intensive care setting, these traditional markers are not always applicable.

Anthropometry is unreliable, as simple parameters such as weight and height cannot always be measured directly in bedbound patients; although predictive formulas are available, patient positioning, dressings, IV lines and edema all limit access to the body segments which must be measured (e.g., knee height, arm and calf circumference), interfering with estimation. Serum protein levels reflect the acute phase response, and do not accurately represent nutritional status.4

Another aspect to be considered in obtaining a precise nutritional diagnosis is the evaluator’s experience in clinical detection of significant nutritional changes. In addition, critically ill patients often have a decreased level of consciousness or are not chaperoned by anyone who can provide information on the patient’s status before admission.4,6

Within this context, this integrative review was conducted to identify alternative tools for nutritional screening/ evaluation of critically ill elderly patients that might overcome the limitations of traditional parameters.



This study followed the integrative review model proposed by Whittemore and Knafl.7 The guiding question was: “Which alternative tools for nutritional screening/evaluation of critically ill elderly patients might overcome the limitations of traditional parameters?”.

The LILACS, SciELO, and MEDLINE (PubMed) electronic databases were searched for relevant articles. The following inclusion criteria were adopted: original articles, available for full-text download, published in Portuguese and English in the last five years (2013 to 2017). Duplicate records and those not published in journals (books, monographs, dissertations, theses, and abstracts) were excluded.

The search terms were: “elderly AND critical ill AND nutritional assessment” and “elderly AND intensive care AND nutritional assessment”. Fifty-eight articles were retrieved. Of these, 11 were excluded as duplicates or because they were unrelated to the topic of interest. The titles and abstracts of the remaining studies were reviewed for consistency with the guiding question established for the investigation. Twenty-seven articles were excluded at this stage. After full-text reading of the remaining articles, a further 18 were excluded for the same reason. Therefore, nine articles were ultimately selected for analysis and discussion.

Identifiers, methodology, results, and main conclusions were extracted from each of the included articles. Data were presented and discussed descriptively.

Due to the scarcity of topical articles which included only older adults, two articles that had non-elderly patients in their samples were also considered for analysis.

At the end of the article selection stage, we observed a complete absence of studies that used bioelectrical impedance analysis (BIA). Thus, the same databases previously used were searched again with the terms “bioelectrical impedance analysis", “bioelectrical impedance vector analysis", “phase angle" and “Intensive care", using the same inclusion and exclusion criteria. This search yielded 19 articles, only three of which were directly related to the topic of interest; these were included in the discussion.



The eligible articles were divided into two groups for analysis. Chart 1 lists those which evaluated nutritional screening/assessment tools which are already well establi-clinical outcomes; these tools were not compared to other shed in clinical practice for their associations with patients’ traditional nutritional monitoring parameters.



Of the five included articles, four used the Subjective Global Nutrition Assessment (SGNA) and two used the Mini Nutritional Assessment (MNA); in one, the MNA was part of the Comprehensive Geriatric Assessment (CGA). Other parameters used were the Nutritional Risk Screening 2002 (NRS-2002), the modified Nutrition Risk in Critically ill (NUTRIC) score, and the anthropometric parameters of body mass index (BMI) and mid-upper arm circumference (MUAC).

Chart 2 lists those articles that used unconventional parameters, but to test for their association with clinical outcomes in the sample, not used as tools for nutritional assessment. These studies used atypical laboratory tests or morbidity and mortality assessment tools validated for clinical use in the intensive-care setting. Of the four included articles, three used the Sequential Organ Failure Assessment (SOFA) and one used specific laboratory tests not commonly employed in clinical practice.



The SGNA has been widely used in clinical practice because it is easy to apply at bedside and can be administered by any member of a multidisciplinary team after proper training. According to Detsky et al.,8 the purpose of this assessment is to establish not only prognosis, but also a nutritional diagnosis. Despite its advantages and potentials, one of the disadvantages of this instrument is that it depends on the clinical judgment and experience of the administering practitioner and on the good cognitive status of the patient or presence of a family member and/or chaperone, who must be able to answer questions related to the patient’s history, such as recent weight changes, changes in dietary intake, and current gastrointestinal symptoms.9

As shown in Chart 1, Santos et al.10 did not report in detail how the SGNA was administered to their sample of patients in intensive care; it is thus impossible to identify how data on nutritional history were collected. In the study by Sheean et al.,11 one of the limitations of the SGNA was precisely the patients’ inability to communicate, due to several factors related to critical illness; thus, a family member and/or other appropriate proxy was approached and consulted for three attempts. Patients who had no proxy present that could respond appropriately to the assessment questions were excluded from the sample.

Lee et al.12 used the MNA instrument for evaluation. This is currently considered the best method for nutritional screening and assessment in the elderly, as it provides for the particular characteristics of this population. The instrument includes anthropometry, dietary assessment, a global clinical evaluation, and a self-assessment (self-perception of health and nutritional status), and can be used for both nutritional screening and nutritional evaluation. However, like the other instruments mentioned above, it is fundamentally reliant on the patient’s preserved cognitive capacity or the presence of a family member and/or proxy.13

Critically ill patients often have their ability to communicate temporarily or permanently disrupted because of their decreased level of consciousness, due to sedation, mechanical ventilation, mental confusion, delirium, and other issues that prevent communication with care providers. Just as with the ASG, for the care team to obtain more information about the patient’s history, including diet/feeding, there must be a family member and/or proxy to serve as interlocutor. Although older adults constitute a protected age group under Brazilian legislation and have the legal right to a chaperone in the hospital environment, this is not always enforced or respected, making it difficult to obtain data on patients’ nutritional history.11,14

Faced with this reality, Doig et al.15 chose to administer only the physical examination component of the SGNA, which subjectively evaluates for presence or absence of loss of muscle mass and subcutaneous fat (scored on a scale of 0 for no loss to 4 for severe loss). Although the study does not justify the exclusion of the objective part of the instrument (clinical history and nutritional history), it corroborates the challenges of applying this SGNA component. These authors also used anthropometric parameters, such as BMI and MUAC.

Anthropometry is simple, easy, convenient, noninva-sive, inexpensive, and widely used as an adjunctive method to assess nutritional status. However, in patients who are bedridden, wheelchair-bound, or have significant contraction of the upper body (such as those with severe spinal curvature), indirect measurements of other body segments (such as knee height, calf circumference, and arm circumference) can be obtained and mathematical formulas applied to estimate these parameters.5 Even though these measurements are considered more readily obtainable in critically ill patients, positioning in bed, dressings, IV lines, and, especially, the presence of edema (due to underlying disease or to fluid resuscitation with large volumes needed to maintain hemodynamic stability) limit access to the body segments required for measurement.6

Rahman et al.16 used the modified NUTRIC scale for assessment. The NUTRIC scale is considered the first validated nutritional risk assessment tool for ICU patients. It includes variables that are easily obtained in the critical care environment, such as the Acute Physiology and Chronic Health Classification System II (APACHE II) and SOFA. Additional variables include body temperature, mean arterial pressure, heart and respiratory rate, arterial blood pH, laboratory tests (sodium, potassium, creatinine, hematocrit, white blood cell count, platelet count, bilirubin, interleukin [IL]-6), Glasgow Coma Score, number of comorbidities, and length of ICU stay in days; the modified NUTRIC excludes IL-6 from the tool b ecause it is not routinely measured, thus enhancing its utility in clinical practice.17,18

One advantage of NUTRIC is its applicability in situations in which patients are unable to communicate, such as those receiving mechanical ventilation, as the instrument variables are obtained from data routinely available in medical records; this was done by design, seeking to overcome the limitation of verbal communication in critically ill patients.19 Thus, NUTRIC seems to be an adequate tool for assessing the nutritional risk of ICU patients, since those with greater respiratory, cardiac, and renal dysfunction, electrolyte imbalances, and reduced level of consciousness appear to be more prone to nutritional risk and, therefore, more likely to benefit from early nutritional therapy. Despite these advantages, the scale has yet to be validated for monitoring of nutritional status.20

Due to the challenges that preclude conventional nutritional assessment within the intensive-care setting, alternative methods have been proposed (Chart 2). Rugeles et al.,21 Hall et al.,22 and Elke et al.23 used the SOFA to evaluate impact and survival in critically ill patients receiving nutritional therapy (NT). These authors evaluated the mortality of the sample after a defined period of time, and tested for its association with the different NTs administered. There was no specific parameter for monitoring nutritional status, only a report of the results evaluated after the intervention, which corroborates the difficulty of evaluating and monitoring the effectiveness of NT during the period of critical illness.



The critically ill patient exhibits metabolic hyperactivity, a marked catabolic state, increased energy expenditure and protein catabolism at rest, a negative nitrogen balance, insulin resistance, hyperglycemia, and increased hepatic glycogen production. All these factors affect the reliability of traditional serum protein markers, such as albumin, prealbumin, transferrin, and retinol-binding protein.4,23 In this context, other markers could be investigated to monitor the response to NT. This would allow practitioners to provide the optimal NT for each patient based on consistent biomarkers.

Su et al.24 measured changes in serum levels of 42 amino acids in patients with the systemic inflammatory response syndrome (SIRS) and sepsis and in healthy subjects to investigate their concentration profiles by high-throughput mass spectrometry. The authors found that these parameters can provide a theoretical basis for nutritional support in the treatment of sepsis, and raised the hypothesis that taurine might be a marker of severity.

Regarding BIA, it is a simple, fast, noninvasive technique that can be performed at the bedside and its designed to measure the patient’s total body composition through the basic parameters resistance (R) and reactance (Xc). The relationship between these two parameters represents the phase angle, which is a potential indicator of interest in critically ill patients because it can be used even in situations in which BIA is invalid, such as patients with massive obesity and disorders of fluid balance.25

The direct relationship between phase angle and nutritional status is still a point of controversy in the literature, as there is still no consensus as to whether low values alone can be interpreted as malnutrition. Studies have suggested that phase angle may be a sensitive tool for assessing prognosis in several clinical scenarios, such as the nutritional status and even the effectiveness of NT, because it represents the mass of the body’s cells and worse nutritional status is known to correlate with depletion of body cell mass.25-28

Among the three studies included in this review which used BIA in critically ill patients, Díaz-De Los Santos et al.29 showed that the phase angle determined by BIA is a good predictor of mortality in critically ill and septic patients, superior to the APACHE II score, while Vermeulen et al.30 stated that it can be used to establish nutritional prognosis. However, Berbigier et al.28 found no correlation of phase angle with mortality, APACHE II, SOFA, length of ICU stay, C-reactive protein, or albumin. None of the studies made any claims as to the utility of phase angle for monitoring nutritional status.

There are no known restrictions to or adverse effects of the BIA technique, but it must be taken into account that it can affect the electrical activity of pacemakers and defibrillators, and should be avoided when these are present.31,32

Bioelectrical impedance vector analysis (BIVA) is an approach that allows reliable assessment of patients in whom calculation of body composition by conventional BIA is difficult due to changes in fluid balance. This method obviates the need for predictive equations that can cause significant error; as it is not based on estimation of any body compartment, it is not dependent on operator training or expertise.33,34

BIVA can be particularly useful in the nutritional assessment of older adults (due to the changes that occur with aging) and in critically ill patients (a population in which other nutritional assessment methods are hindered by frequent changes in fluid balance).34,35



In critically ill older adults who are alert and have no significant edema, the use of conventional anthropometric, clinical, biochemical, and dietary methods for nutritional assessment is feasible, alongside history and physical examination and nutritional screening. However, in those with edema or altered level of consciousness, both of which are common findings in the intensive care setting, it is difficult to assess and monitor nutritional status and evaluate the efficacy of NT. In this scenario, all currently available techniques have limitations.

Studies that used the NUTRIC score, which incorporates the APACHE II and SOFA scores, and those that used either of these scores alone reported good outcomes for identification of nutritional risk and indication of early nutritional support. Although the final SOFA value remained the same in the studies included in this review, this instrument may still be promising due to its feasibility and ease of administration in the ICU setting. We suggest that future research should further explore the use of BIA (and its derived parameters phase angle and BIVA) in critically ill older adults and test combinations of the NUTRIC score with phase angle and/or BIVA, especially in critically ill patients with decreased level of consciousness and/or edema.



The authors declare no conflict of interests.



1. Nações Unidas no Brasil. Direitos Humanos. Santa Cruz: 2016. Sobre o envelhecimento populacional [Internet]. 2014 [citado 5 maio 2016]. Disponível em: https://nacoesunidas.org/mundo-tera-2-bilhoes-de-idosos-em-2050-oms-diz-que-envelhecer-bem-deve-ser-prioridade-global/

2. Moraes EM, Marino MCA, Santos RR. Principais síndromes geriátricas. Rev Med Minas Gerais. 2010;20(1):54-66.

3. Sobotka L, Schneider SM, Berner YN, Cederholm T, Krznaric Z, Shenkin A, et al. ESPEN Guidelineson Parenteral Nutrition: Geriatrics. Clin Nutr. 2009:461-6. https://doi.org/10.1016/j.clnu.2009.04.004

4. McClave SA, Taylor BE, Martindale RG, Warren MM, Johnson DR, Braunschweig C, et al. Society of Critical Care Medicine; American Society for Parenteral and Enteral Nutrition. 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.PE.N.). J Parenter Enteral Nutr. 2016;40(2):159-211. https://doi.org/10.1177/0148607115621863

5. Associação Brasileira de Nutrição. Manual Orientativo: Sistematização do Cuidado de Nutrição. São Paulo: Associação Brasileira de Nutrição; 2014. 66p.

6. Paz LSC, Couto AV. Avaliação nutricional em pacientes críticos: revisão de literatura. BRASPEN J. 2016;31(3):269-77.

7. Whittemore R, Knafl K. The integrative review: updated methodology. J Adv Nurs. 2005;52:546-53. https://doi.org/10.1111/j.1365-2648.2005.03621.x

8. Detsky AS, McLaughlin JR, Baker JP, Johnston N, Whittaker S, Mendelson RA, et al. What is subjective global assessment of nutritional status? J Parenter Enteral Nutr. 1987;11:8-13. https://doi.org/10.1177/014860718701100108

9. Barbosa-Silva MCG, Barros AJD. Avaliação nutricional subjetiva. Parte 1 - Revisão de sua validade após duas décadas de uso. Arq Gastroenterol. 2002;39(3):181-7. http://dx.doi.org/10.1590/S0004-28032002000300009

10. Santos CA, Firmino HH, Esmeraldo MLF, Alfenas RCG, Rosa CAB, Ribeiro AQ, et al. Perfil nutricional e fatores associados à desnutrição e ao óbito em pacientes com indicação de terapia nutricional. BRASPEN J. 2017;32(1):30-5.

11. Sheean PM, Peterson SJ, Chen Y, Liu D, Lateef O, Braunchsweig CA. Utilizing multiple methods to classify malnutrition among elderly patients admitted to the medical and surgical intensive care units (ICU). Clin Nutr. 2013;32(5):752-7. https://doi.org/10.1016/j.clnu.2012.12.012

12. Lee WJ, Chou MY, Peng LN, Liang CK, Liu LK, Liu CL, et al. Predicting clinical instability of older patients in post-acute care units: a nationwide cohort study. Geriatr Gerontol Int. 2014;14(2):267-72. https://doi. org/10.1111/ggi. 12083

13. Abd Aziz NAS, Teng NIMF, Abdul Hamid MR, Ismail NH. Assessing the nutritional status of hospitalized elderly. Clin Interv Aging. 2017;12:1615-25. https://dx.doi.org/10.2147/o2FCIA.S140859

14. Brasil. Lei n° 10.741, de 1° de outubro de 2003. Dispõe sobre o Estatuto do Idoso e dá outras providências. Brasil; 2003.

15. Doig GS, Simpson F, Sweetman EA, Finfer SR, Cooper DJ, Heighes PT, et al. Early parenteral nutrition in critically ill patients with short-term relative contraindications to early enteral nutrition: a randomized controlled trial. JAMA. 2013;309(20):2130-8. https://doi.org/10.1001/jama.2013.5124

16. 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):158-62. https://doi.org/10.1016/j.clnu.2015.01.015

17. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: A severity of disease classification system. Crit Care Med. 1985;13(10):818-29.

18. Vincent JL, Moreno R, Takala J, Willatts S, De Mendonça A, Bruining H, 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. Intensive Care Med. 1996;22(7):707-10.

19. Rosa M, Heyland DK, Fernandes D, Rabito EI, Oliveira ML, Marcadenti A. Translation and adaptation of the NUTRIC Score to identify critically ill patients who benefit the most from nutrition therapy. Clin Nutr ESPEN. 2016;14:31-6. https://doi.org/10.1016/j.clnesp.2016.04.030

20. Mukhopadhyay A, Henry J, Ong V, Leong CS, Ling Teh A, Dam RM, et al. Association of modified NUTRIC score with 28-day mortality in critically ill patients. Clin Nutr. 2017;36(4):1143-8. https://doi.org/10.1016/j.clnu.2016.08.004

21. Rugeles S, Vilarraga-Angulo LG, Ariza-Gutiérrez A, Chaverra-Kornerup

S, Lasalvia P, Rosselli D. High-protein hypocaloric vs. normocaloric enteral nutrition in critically ill patients: a randomized clinical trial. J Crit Care. 2016;35:110-4. https://doi.org/10.1016/jjcrc.2016.05.004

22. Hall TC, Bilku DK, Al-Leswas D, Neal CP, Horst C, Cooke J, et al. A randomized controlled trial investigating the effects of parenteral fish oil on survival outcomes in critically ill patients with sepsis: a pilot study. J Parenter Enteral Nutr. 2015;39(3):301-12. https://doi.org/10.1177/0148607113518945

23. Elke G1, Kuhnt E, Ragaller M, Schadler D, Frerichs I, Brunkhorst FM, et al. Enteral nutrition is associated with improved outcome in patients with severe sepsis. A secondary analysis of the VISEP trial. Med Klin Intensiv med Notfmed. 2013;108(3):223-33. https://doi.org/10.1007/s00063-013-0224-4

24. Su L, Li H, Xie A, Liu D, Rao W, Lan L, et al. Dynamic changes in amino acid concentration profiles in patients with sepsis. PLoS One. 2015;10(4). https://doi.org/10.1371/journal.pone.0121933

25. Silva RRL, Pinho CPS, Rodrigues IG, Monteiro Júnior JGM. Ángulo de fase como indicador del estado nutricional y pronóstico en pacientes críticos. Nutr Hosp. 2015;31(3):1278-85. http://dx.doi.org/10.3305/nh.2015.31.3.8014

26. Barbosa-Silva MCG, Barros AJD, Wang J, Heymsfield SB, Pierson Junior RN. Bioelectrical impedance analysis: population reference values for phase angle by age and sex. Am J Clin Nutr. 2005;82:49-52. https://doi.org/10.1093/ajcn.82.1.49

27. Scheunemann L, Wazlawk E, Trindade EBSM. Application of phase angle in clinical nutrition. Rev Bras Nutr Clin. 2008;23(4):292-7.

28. Berbigier MC, Pasinato VF, Rubin BA, Moraes RE, Perry IDS. Ângulo de fase derivado de bioimpedância elétrica em pacientes sépticos internados em unidades de terapia intensiva. Rev Bras Ter Intensiva. 2013;25(1). http://dx.doi.org/10.1590/S0103-507X2013000100006

29. Díaz-De Los Santos M, Cieza J, Valenzuela R. Correlation between indexes of electrical bioimpedance and Apache II score in patients with septic shock. Rev Med Hered. 2010;21(3).

30. Vermeulen KM, Leal LLA, Furtado MCMB, Vale SHL, Lais LL. Phase Angle and Onodera's Prognostic Nutritional Index in critically ill patients. Nutr Hosp. 2016;33(6). http://dx.doi.org/10.20960/nh.770

31. Bellini M, Ganbacinni D, Bazzichi L, Bassotti G, Mumolo MG, Fani B, et al. Bioelectrical impedance vector analysis in patients with irritable bowel syndrome on a low FODMAP diet: a pilot study. Tech Coloproctol. 2017;21:451-9. https://doi.org/10.1007/s10151-017-1639-3

32. Guedes DP. Clinical procedures used for analysis of the body composition. Rev Bras Cineantropom Desempenho Hum. 2013;15(1):113-29. http://dx.doi.org/10.5007/1980-0037.2013v15n1p113

33. Britto EP, Mesquita ET. Bioelectrical Impedance Analysis in Heart Failure. Rev SOCERJ. 2008;21(3):178-83.

34. Cova I, Pomati S, Maggiori L, Forcella M, Cucumo V, Ghiretti R, et al. Nutritional status and body composition by bioelectrical impedance vector analysis: a cross sectional study in mild cognitive impairment and Alzheimer's disease. PLoS One. 2017;12(2). https://doi.org/10.1371/journal.pone.0171331

35. Ribeiro SML, Miyamoto MV, Melo CM, Kehayias J. Bioelectrical impedance vectorial analysis and nutritional status of older women according to body mass index. Rev Bras Cineantropom Desempenho Hum. 2011;13(6). http://dx.doi.org/10.5007/1980-0037.2011v13n6p415

Received in December 11 2017.
Accepted em April 21 2018.

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