Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorZAMBERLAN, P.
dc.contributor.authorCARVALHO, W.B. de
dc.contributor.authorDELGADO, A.F.
dc.identifier.citationCURRENT TREATMENT OPTIONS IN PEDIATRICS, v.5, n.3, p.301-313, 2019
dc.description.abstractPurpose of review: Malnutrition is very common in critically ill patients, mainly children and adolescents, and it increases morbidity, length of stay, medical costs, and mortality. Anthropometric and body composition assessment are basic components for monitoring nutritional status. In addition, it appears to be able to predict several clinical outcomes in these patients. This review describes studies evaluating usefulness of nutritional and prognostic assessment tools in critically ill patients. Recent findings: Although anthropometry is difficult to interpret in critically ill patients, it is very useful for classifying nutrition status, as well as for planning nutritional therapy (NT) and nutrition monitoring. Several traditional nutritional markers (zinc, selenium, prealbumin, and HDL) have been used as inflammatory and, consequently, prognostic indicators. Body composition indicators as phase angle obtained by bioelectrical impedance and arm circumference have shown a strong ability to predict outcomes in a wide variety of clinical situations, including critically ill children and adolescents. Summary: Early intervention targeting nutrition assessment can prevent or minimize the complications of undernutrition in the intensive care unit. Thus, improving the accuracy of nutritional and prognostic evaluation is of paramount importance in the clinical management of critically ill patients. © 2019, Springer Nature Switzerland AG.eng
dc.relation.ispartofCurrent Treatment Options in Pediatrics
dc.subjectBody compositioneng
dc.subjectIntensive care unitseng
dc.subjectNutritional assessmenteng
dc.subject.otherhigh density lipoproteineng
dc.subject.otherarm circumferenceeng
dc.subject.otherbody compositioneng
dc.subject.othercritically ill patienteng
dc.subject.otherdiet therapyeng
dc.subject.othernutritional assessmenteng
dc.subject.othernutritional statuseng
dc.subject.otherprognostic assessmenteng
dc.titleNutritional Assessment and Body Composition in Critically Ill Children as Prognostic Indicatorseng
hcfmusp.relation.referenceDelgado, A.F., Okay, T.S., Leone, C., Nichols, B., Del Negro, G.M., Vaz, F.A., Hospital malnutrition and inflammatory response in critically ill children and adolescents admitted to a tertiary intensive care unit (2008) Clinics (Sao Paulo), 63 (3), pp. 357-362. ,
hcfmusp.relation.referenceFeferbaum, R., Delgado, A.F., Zamberlan, P., Leone, C., Challenges of nutritional assessment in pediatric ICU (2009) Curr Opin Clin Nutr Metab Care, 12 (3), pp. 245-250. , This review addresses the use and limitations of anthropometry and laboratorial and body composition markers the diagis of the nutritional status of such patientseng
hcfmusp.relation.referenceLandi, F., Camprubi-Robles, M., Bear, D.E., Cederholm, T., Malafarina, V., Welch, A.A., Muscle loss: the new malnutrition challenge in clinical practice (2018) Clin Nutreng
hcfmusp.relation.referenceZamberlan, P., Leone, C., Tannuri, U., Carvalho, W.B., Delgado, A.F., Nutritional risk and anthropometric evaluation in pediatric liver transplantation (2012) Clinics (Sao Paulo), 67 (12), pp. 1387-1392. ,
hcfmusp.relation.referenceBiolo, G., Protein metabolism and requirements (2013) World Rev Nutr Diet, 105, pp. 12-20eng
hcfmusp.relation.referenceBechard, L.J., Parrott, J.S., Mehta, N.M., Systematic review of the influence of energy and protein intake on protein balance in critically ill children (2012) J Pediatr, 161 (2), pp. 333-339. , The authors examine the influence of protein and energy intakes on protein balance children receiving mechanical ventilation the pediatric intensive care uniteng
hcfmusp.relation.referenceMartinez, E.E., Smallwood, C.D., Bechard, L.J., Graham, R.J., Mehta, N.M., Metabolic assessment and individualized nutrition in children dependent on mechanical ventilation at home (2015) J Pediatr, 166 (2), pp. 350-357eng
hcfmusp.relation.referenceToptas, M., Yalcin, M., Akkoc, İ., Demir, E., Metin, C., Savas, Y., The relation between sarcopenia and mortality in patients at intensive care unit (2018) Biomed Res Int, ,, 5263208, The authors aimed to investigate the relation between Psoas muscle area (PMA) and mortality in all age groups in intensive care uniteng
hcfmusp.relation.referenceAurangzeb, B., Whitten, K.E., Harrison, B., Mitchell, M., Kepreotes, H., Sidler, M., Lemberg, D.A., Day, A.S., Prevalence of malnutrition and risk of under-nutrition in hospitalized children (2012) Clin Nutr, 31 (1), pp. 35-40eng
hcfmusp.relation.reference(2004) Expert consultation: human energy requirement, , World Health Organization, Romeeng
hcfmusp.relation.referenceSchofield, W.N., Predicting basal metabolic rate, new standards and review of previous work (1985) Hum Nutr Clin Nutr, 39, pp. 5-41eng
hcfmusp.relation.referenceMaynord, P.O., Harris, Z.L., Principles of gastrointestinal: physiology, nutrition, and metabolism (2015) Rogers’ Textbook of Pediatric Intensive Care, pp. 1593-1614. , Shaffner DH, Nichols DG, (eds), 5, Wolters Kluwer, Philadelphiaeng
hcfmusp.relation.referenceEllis, K.J., Evaluation of body composition in neonates and infants (2007) Semin Fetal Neonatal Med, 12 (1), pp. 87-91eng
hcfmusp.relation.reference(2017) Anthropometry procedures manual, , CDC, Atlantaeng
hcfmusp.relation.reference(1995) Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee, , WHO, Geneva: (WHO Technical Report Series 854eng
hcfmusp.relation.referenceLekkou, A., Mouzaki, A., Siagris, D., Ravani, I., Gogos, C.A., Serum lipid profile, cytokine production, and clinical outcome in patients with severe sepsis (2014) J Crit Care, 29 (5), pp. 723-727eng
hcfmusp.relation.referenceBermudes, A.C.G., de Carvalho, W.B., Zamberlan, P., Muramoto, G., Maranhão, R.C., Delgado, A.F., Changes in lipid metabolism in pediatric patients with severe sepsis and septic shock (2018) Nutrition, 47, pp. 104-109eng
hcfmusp.relation.referenceFerrie, S., Allman-Farinelli, M., Commonly used “nutrition” indicators do not predict outcome in the critically ill: a systematic review (2013) Nutr Clin Pract, 28 (4), pp. 463-484. , This systematic review of randomized controlled trials aimed to assess whether commonly used anthropometric, biochemical, and clinical nutrition indicators are predictive of patient outcomes the critically illeng
hcfmusp.relation.referenceWells, J.C.K., Fewtrell, M.S., Measuring body composition (2006) Arch Dis Child, 91 (7), pp. 612-617eng
hcfmusp.relation.referenceAndreoli, A., Garaci, F., Cafarelli, F.P., Guglielmi, G., Body composition in clinical practice (2016) Eur J Radiol, 85 (8), pp. 1461-1468. , This review is focused on the use of body composition clinical practice, since monitoring body composition can be very useful for nutritional and medical interventionaleng
hcfmusp.relation.referencede Onis, M., Yip, R., Mei, Z., The development of MUAC-for-age reference data recommended by a WHO Expert Committee (1997) Bull WHO, 75 (1), pp. 11-18. ,, Accessed 5 July 2019eng
hcfmusp.relation.referenceBettler, J.M.A., Roberts, K.E., Nutrition assessment of the critically ill child (2000) AACN Clin Issues, 11 (4), pp. 498-506eng
hcfmusp.relation.referenceDuren, D.L., Sherwood, R.J., Czerwinski, S.A., Lee, M., Choh, A.C., Siervogel, R.M., Chumlea, W.C., Body composition methods: comparisons and interpretation (2008) J Diabetes Sci Technol, 2 (6), pp. 1139-1146eng
hcfmusp.relation.referenceZemel, B.S., Riley, E.M., Stallings, V.A., Evaluation of methodology for nutritional assessment in children: anthropometry, body composition, and energy expenditure (1997) Annu Rev Nutr, 17, pp. 211-235eng
hcfmusp.relation.referenceZamberlan, P., Delgado, A.F., Leone, C., Feferbaum, R., Okay, T.S., Nutrition therapy in a pediatric intensive care unit: indications, monitoring, and complications (2011) JPEN J Parenter Enteral Nutr, 35 (4), pp. 523-529eng
hcfmusp.relation.referenceIsraëls, T., Chirambo, C., Caron, H.N., Molyneux, E.M., Nutritional status at admission of children with cancer in Malawi (2008) Pediatr Blood Cancer, 51 (5), pp. 626-628eng
hcfmusp.relation.referenceKyle, U.G., Bosaeus, I., Lorenzo, A.D., Deurenberg, P., Elia, M., Gómez, J.M., Heitmann, B.L., Pichard, C., Bioelectrical impedance analysis—part I: review of principles and methods (2004) Clin Nutr, 23 (5), pp. 1226-1243eng
hcfmusp.relation.referenceLee, S.Y., Gallagher, D., Assessment methods in human body composition (2008) Curr Opin Clin Nutr Metab Care, 11 (5), pp. 566-572eng
hcfmusp.relation.referenceMialich, M.S., Martinez, E.Z., Jordão Junior, A.A., Application of body mass index adjusted for fat mass (BMIfat) obtained by bioelectrical impedance in adults (2014) Nutr Hosp, 30 (2), pp. 417-424eng
hcfmusp.relation.referenceBera, T.K., Bioelectrical impedance methods for noninvasive health monitoring: a review (2014) J Med Eng, 2014eng
hcfmusp.relation.referenceNescolarde, L., Lukaski, H., De Lorenzo, A., de-Mateo-Silleras, B., Redondo-Del-Río, M.P., Camina-Martín, M.A., Different displacement of bioimpedance vector due to Ag/AgCl electrode effect (2016) Eur J Clin Nutr, 70 (12), pp. 1401-1407eng
hcfmusp.relation.referenceSergi, G., De Rui, M., Stubbs, B., Veronese, N., Manzato, E., Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons (2017) Aging Clin Exp Res, 29 (4), pp. 591-597eng
hcfmusp.relation.referenceDeurenberg, P., van der Kooy, K., Leenen, R., Weststrate, J.A., Seidell, J.C., Sex and age specific prediction formulas for estimating body composition from bioelectric impedance: a cross-validation study (1991) Int J Obes, 15, pp. 17-25eng
hcfmusp.relation.referenceDeurenberg, P., Kusters, G.S.L., Smit, H.E., Assessment of body composition by bioelectrical impedance in children and young adults is strongly age-dependent (1990) Eur J Clin Nutr, 44, pp. 261-268eng
hcfmusp.relation.referenceLukaski, H.C., Johnson, P.E., Bolonchuk, W.W., Lykken, G.I., Assessment of fat free mass using bioelectrical impedance measurements of the human body (1985) Am J Clin Nutr, 41 (4), pp. 810-817eng
hcfmusp.relation.referenceThibault, R., Makhlouf, A.M., Mulliez, A., Cristina Gonzalez, M., Kekstas, G., Kozjek, N.R., Fat-free mass at admission predicts 28-day mortality in intensive care unit patients: the international prospective observational study Phase Angle Project (2016) Intensive Care Med, 42 (9), pp. 1445-1453eng
hcfmusp.relation.referenceNorman, K., Stobäus, N., Pirlich, M., Bosy-Westphal, A., Bioelectrical phase angle and impedance vector analysis—clinical relevance and applicability of impedance parameters (2012) Clin Nutr, 31 (6), pp. 854-861eng
hcfmusp.relation.referenceNagano, M., Suita, S., Yamanouchi, T., The validity of bioelectrical impedance phase angle for nutritional assessment in children (2000) J Pediatr Surg, 35 (7), pp. 1035-1039eng
hcfmusp.relation.referenceGarlini, L.M., Alves, F.D., Ceretta, L.B., Perry, I.S., Souza, G.C., Clausell, N.O., Phase angle and mortality: A systematic review (2018) Eur J Clin Nutr., ,, This study aimed to evaluate the relationship between phase angle and mortality through a systematic review of the literature. Forty-eight of 455 papers were assessed and an amount of 42 showed a correlation between phase angle and mortalityeng
hcfmusp.relation.referenceZamberlan, P., Feferbaum, R., Doria Filho, U., Brunow de Carvalho, W., Figueiredo Delgado, A., Bioelectrical impedance phase angle and morbidity and mortality in critically ill children (2019) Nutr Clin Pract, 34 (1), pp. 163-171eng
hcfmusp.relation.referenceAzevedo, Z.M., Moore, D.C., de Matos, F.A., Fonseca, V.M., Peixoto, M.V., Gaspar-Elsas, M.I., Bioelectrical impedance parameters in critically ill children: importance of reactance and resistance (2013) Clin Nutr, 32 (5), pp. 824-829eng
hcfmusp.relation.referenceStapel, S.N., Looijaard, W.G.P.M., Dekker, I.M., Girbes, A.R.J., Weijs, P.J.M., Oudemans-van Straaten, H.M., Bioelectrical impedance analysis-derived phase angle at admission as a predictor of 90-day mortality in intensive care patients (2018) Eur J Clin Nutr, 72 (7), pp. 1019-1025eng
hcfmusp.relation.referenceDíaz-De Los Santos, M., Cieza, J., Valenzuela, R., Correlación entre índices de bioimpedancia elétrica y score Apache II en pacientes con shock séptico (2011) Rev Med Hered, 21, pp. 111-117eng
hcfmusp.relation.referenceBerbigier, M.C., Pasinato, V.F., Rubin, B.A., Moraes, R.B., Perry, I.D., Bioelectrical impedance phase angle in septic patients admitted to intensive care units (2013) Rev Bras Ter Intensiva, 25 (1), pp. 25-31. ,, Accessed 5 July 2019eng
hcfmusp.relation.referenceDa Silva, T.K., Berbigier, M.C., Rubin, B.A., Moraes, R.B., Souza, G.C., Perry, I.D., Phase angle as a prognostic marker in patients with critical illness (2015) Nutr Clin Pract, 30 (2), pp. 261-265eng
hcfmusp.relation.referenceLee, Y., Kwon, O., Shin, C.S., Lee, S.M., Use of bioelectrical impedance analysis for the assessment of nutritional status in critically ill patients (2015) Clin Nutr Res, 4 (1), pp. 32-40eng
hcfmusp.relation.referenceOng, C., Han, W.M., Wong, J.J., Lee, J.H., Nutrition biomarkers and clinical outcomes in critically ill children: a critical appraisal of the literature (2014) Clin Nutr, 33 (2), pp. 191-197eng
hcfmusp.relation.referenceBechard, L.J., Duggan, C., Touger-Decker, R., Parrott, J.S., Rothpletz-Puglia, P., Byham-Gray, L., Heyland, D., Mehta, N.M., Nutritional status based on body mass index is associated with morbidity and mortality in mechanically ventilated critically ill children in the PICU (2016) Crit Care Med, 44 (8), pp. 1530-1537eng
hcfmusp.relation.referenceGrippa, R.B., Silva, P.S., Barbosa, E., Bresolin, N.L., Mehta, N.M., Moreno, Y.M., Nutritional status as a predictor of duration of mechanical ventilation in critically ill children (2017) Nutrition, 33, pp. 91-95eng
hcfmusp.relation.referenceRavasco, P., Camilo, M.E., Gouveia-Oliveira, A., Adam, S., Brum, G., A critical approach to nutritional assessment in critically ill patients (2002) Clin Nutr, 21 (1), pp. 73-77eng
hcfmusp.relation.referenceLeite, H.P., Rodrigues da Silva, A.V., de Oliveira Iglesias, S.B., Koch Nogueira, P.C., Serum albumin is an independent predictor of clinical outcomes in critically ill children (2016) Pediatr Crit Care Med, 17 (2), pp. e50-e57eng
hcfmusp.relation.referenceStratton, R.J., Elia, M., Who benefits from nutritional support: what is the evidence? (2007) Eur J Gastroenterol Hepatol, 19 (5), pp. 353-358eng
Appears in Collections:

Artigos e Materiais de Revistas Científicas - FM/MPE
Departamento de Pediatria - FM/MPE

Artigos e Materiais de Revistas Científicas - HC/ICr
Instituto da Criança - HC/ICr

Artigos e Materiais de Revistas Científicas - LIM/36
LIM/36 - Laboratório de Pediatria Clínica

Artigos e Materiais de Revistas Científicas - ODS/02
ODS/02 - Fome zero e agricultura sustentável

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.