Cachexia and protein-energy wasting in children with chronic kidney disease
- First Online:
Children with chronic kidney disease (CKD) are at risk for “cachexia” or “protein-energy wasting” (PEW). These terms describe a pathophysiologic process resulting in the loss of muscle, with or without loss of fat, and involving maladaptive responses, including anorexia and elevated metabolic rate. PEW has been defined specifically in relation to CKD. We review the diagnostic criteria for cachexia and PEW in CKD and consider the limitations and applicability of these criteria to children with CKD. In addition, we present an overview of the manifestations and mechanisms of cachexia and PEW. A host of pathogenetic factors are considered, including systemic inflammation, endocrine perturbations, and abnormal neuropeptide signaling, as well as poor nutritional intake. Mortality risk, which is 100- to 200-fold higher in patients with end-stage renal disease than in the general population, is strongly correlated with the components of cachexia/PEW. Further research into the causes and consequences of wasting and growth retardation is needed in order to improve the survival and quality of life for children with CKD.
KeywordsProtein energy wasting Cachexia Pediatric Growth failure Renal failure
Surveys using traditional measures of nutritional status indicate that wasting is common among adults with chronic kidney disease (CKD), with 20–75% of adults undergoing maintenance dialysis showing some evidence of wasting [1, 2]. At present, only limited data are available on the prevalence of wasting in children with CKD. The accumulation of new evidence and novel thinking in the field of nutrition in CKD has resulted in a recent redefinition of commonly used terms. Wasting caused by factors other than inadequate intake alone is sometimes referred to as cachexia. Cachexia was recently defined as “a complex metabolic syndrome associated with underlying illness and characterized by loss of muscle, with or without loss of fat”, by a group of scientists and clinicians participating in a consensus conference on cachexia . This group, which later formed the Society for Cachexia and Wasting Disorders (SCWD) and included participants with diverse backgrounds encompassing many of the diseases states that result in cachexia (such as cancer, human immunodeficiency virus infection, heart failure, CKD, and chronic obstructive pulmonary disease), identified weight loss and growth failure as the most important clinical features of cachexia in adults and children, respectively. In the context of CKD, the term protein-energy wasting (PEW) has been proposed by The International Society of Renal Nutrition and Metabolism (ISRNM) to describe a “state of decreased body stores of protein and energy fuels (body protein and fat masses)” . The ISRNM suggested that the term cachexia be reserved for only the most severe forms of PEW. However, there is no obvious distinction between PEW and cachexia from a pathophysiology standpoint; limiting the term cachexia to extreme forms of PEW is perhaps too restrictive.
Cachexia/wasting or malnutrition in CKD
Comparison of malnutrition and cachexia/PEW
Response to calorie supplementation
Clinical features and diagnostic criteria of cachexia/PEW in CKD
Readily utilizable criteria for the clinical diagnosis of PEW in adults with chronic kidney disease
Criteria for PEW
Serum albumin <3.8 g per 100 ml (Bromocresol Green)a
Serum prealbumin (transthyretin) <30 mg per 100 ml (for maintenance dialysis patients only; levels may vary according to GFR level for patients with CKD stages 2–5)a
Serum cholesterol <100 mg per 100 mla
Unintentional weight loss over time: 5% over 3 months or 10% over 6 months
Total body fat percentage <10%
Muscle wasting: reduced muscle mass 5% over 3 months or 10% over 6 months
Reduced mid-arm muscle circumference areac (reduction >10% in relation to 50th percentile of reference population)
Unintentional low DPI <0.80 g kg−1 day−1 for at least 2 monthse for dialysis patients or <0.6 g kg−1 day−1 for patients with CKD stages 2–5
Unintentional low DEI <25 kcal kg−1 day−1 for at least 2 monthse
Both sets of diagnostic criteria are based largely on evidence in adults and are, therefore, geared towards adults. Modifications to these diagnostic criteria are necessary to improve their applicability to children. In this review, we focus on PEW because this concept was developed to be specifically applicable to CKD patients. The common pathophysiology of PEW and cachexia is acknowledged. The proposed diagnostic criteria for PEW, their limitations, and possible pediatric modifications are discussed.
Among the biochemical indicators of PEW, low serum albumin stands out as a consistent predictor of mortality in epidemiological studies of both adult  and pediatric  dialysis patients. However, the specificity of serum albumin as an indicator of PEW in the setting of CKD is not assured [14, 15, 16, 17, 18, 19, 20, 21]. Both volume overload and systemic inflammation are associated with depressed serum albumin [17, 18]. In the absence of inflammatory markers, hypoalbuminemia is not predictive of increased mortality [20, 21]. Hypoalbuminemia was noted by the ISRNM committee to be neither necessary nor sufficient for a diagnosis of PEW. However, given its strong association with mortality, hypoalbuminemia is considered an important biochemical indicator of PEW; its presence should prompt careful assessment of volume status and an investigation for causes of systemic inflammation. Serum prealbumin (also known as transthyretin) has also been recommended as a marker of PEW in dialysis patients; the limitations of prealbumin are similar to those of albumin. A recent study in adult hemodialysis patients suggested that although baseline serum prealbumin level may not be superior to serum albumin in predicting mortality, prealbumin concentrations <20 mg/dL are associated with death risk even in normoalbuminemic patients, and a fall in serum prealbumin over a 6-month period is independently associated with increased death risk . Other nutritional indicators that predict survival in dialysis patients include serum transferrin level  and nutritional scoring systems, such as the “subjective global assessment”(SGA)  and “malnutrition inflammation score”. These scores also correlate with quality of life [24, 25]. Low serum cholesterol has also been proposed as a biochemical indicator of PEW due to its association with mortality in adults with CKD . There are no data on associations between low cholesterol and outcomes in children with CKD; future studies that account for the normal variation in serum cholesterol levels with age  and characterize associations between low cholesterol and poor outcomes (death, growth failure) are needed before cholesterol levels can be included in the diagnostic criteria for PEW in children. Circulating inflammatory markers such as CRP  and pro-inflammatory cytokines such as IL-6  are persistently elevated in PEW and may be predictive of mortality—but were not included as part of the diagnostic criteria of PEW.
Low body weight, weight loss, or reduced body fat
Evidence of low body weight, reduced body fat, or weight loss are important indicators of PEW in adults. BMI, calculated as weight (kg) divided by height squared (m2), is proposed as a method of assessing the appropriateness of body weight. Although BMI gives little information about body composition, it can be a useful means of assessing PEW. BMI is strongly correlated with lean body mass at the low end of the BMI spectrum , and low BMI is a consistent predictor of mortality in both adults [31, 32] and children  on maintenance dialysis. Because BMI normally changes with growth and development, it must be expressed in children as a percentile or Z score relative to age and sex. BMI-for-age percentiles and Z scores can be determined using sex-specific BMI-for-age growth curves from the Centers for Disease Control (updated in 2000)  for children ≥2 years of age and the 2006 World Health Organization Child Growth Standards for children <2 years of age . In the setting of CKD, it has been suggested that BMI should be expressed relative to height–age (the age at which the child’s height would be at the 50% percentile), rather than chronological age, due to the high prevalence of growth retardation and delayed sexual maturation . Regardless of how BMI is expressed, it is difficult to set a BMI percentile cut-off below which a diagnosis of PEW should be considered for children with CKD. Underweight is defined by the American Centers for Disease Control as a BMI below the 5th percentile for age [37, 38]. However, this cut-off may not be appropriate as a criterion for PEW in children with CKD. Existing evidence suggests that a higher cut-off may be more appropriate , but definitive data are lacking.
An unintentional weight loss or reduction in weight of ≥5% over a 3-month period or of ≥10% over a 6-month period is suggested as an indicator of PEW in adults, independent of absolute BMI . In children, weight loss is an insensitive indication of PEW; a more appropriate diagnostic criterion would be failure to gain weight appropriately, as evidenced by a crossing-down of BMI percentiles. Linear growth failure has been highlighted as being central to the diagnosis of cachexia  and has been associated with a greater mortality risk in infants  and children  with CKD. However, although growth retardation may be a feature of PEW or cachexia in children, it should be recognized that failure to grow does not always indicate “wasting” in CKD. Growth failure in CKD has several causes, including inadequate calorie intake, delayed sexual maturation, and growth hormone insensitivity. Growth failure may emerge as a necessary, but not sufficient criterion for PEW or cachexia in children with CKD.
A body fat mass of <10% of body weight is considered to be an additional criterion for PEW in adults with CKD  due to the known association between a total body fat <10% and increased mortality risk in adult maintenance dialysis patients . However, like BMI, percentage body fat changes with growth and development in healthy children. Therefore, a single percent body fat cut-off cannot be used as a criterion for PEW in children. In addition, percent body fat may be difficult to interpret in conditions where abnormalities in both fat and lean mass may be present; a decrease in lean mass will result in an apparent increase in percent fat, even if there is no real change in fat mass. Furthermore, studies linking low percent fat to poor outcomes in children with CKD are lacking.
Decreased muscle mass
Reduced muscle mass appears to be the most valid criterion for the presence of PEW in CKD , and is also emphasized in the diagnostic criteria for cachexia . Muscle mass, measured using dual energy X-ray absorptiometry (DXA), has been observed to be low in children  with CKD. Similar findings have been shown in adults with CKD using near-infrared interactance and bioelectrical impedance . However, such techniques are not practical in the clinical setting. There is currently no clinically useful and reproducible method of measuring muscle mass. Accurate assessment of the adequacy of muscle mass is even more challenging in infants and children, in whom all measures must be normalized for body size and stage of sexual maturation . Indirect measures, such as creatinine appearance (estimated by quantification of creatinine in a 24-h urine collection and in the collected spent dialysate), have been proposed as an index of muscle mass in adults with CKD . However, reference values for creatinine appearance are not available for children, making interpretation impossible at present.
Low protein or energy intake
Diminished appetite (anorexia), one of the suggested criteria for PEW (and for cachexia), has been associated with increased mortality in adult dialysis patients . Anorexia is a common feature of CKD in infants and is the primary reason for growth failure in this group [44, 45, 46, 47]. Poor growth due to inadequate intake has been observed in infants with a glomerular filtration rate (GFR) as high as 70 ml min−1 1.73 m−2 . The prevalence of anorexia among children with CKD beyond infancy is unknown. There is ample evidence to support the effectiveness of supplemental calories in promoting growth in children with CKD up to about 2 years of age . However, calorie intake is generally appropriate for body size in older children with CKD, and there is no evidence that supplemental calories promote growth in the older age group 
The validity of the proposed diagnostic criteria for PEW are as yet unconfirmed, even for adults. Nonetheless, it would be useful to develop analogous consensus criteria specifically for infants and children, which could then be validated in prospective, longitudinal studies.
Pathophysiology of cachexia/PEW syndrome in CKD
Anorexia in CKD patients is caused by a combination of factors, including altered taste , gastroesophageal reflux, delayed gastric emptying, and elevated levels of numerous cytokines, including IL-1, IL-6, and tumor necrosis factor (TNF)-α . Perturbations in appetite-regulating hormones, such as leptin  and ghrelin , may contribute to anorexia in CKD. Leptin is degraded by the kidney. As a result, circulating leptin concentrations are strongly and inversely correlated with GFR in children . Experimental uremic anorexia can be improved by leptin signaling blockade through the hypothalamic melanocortin-4 receptor by the addition of agouti-related peptide (AgRP), a melanocortin reverse agonist, suggesting a possible future therapeutic strategy for PEW in CKD [55, 56]. Human data on leptin and CKD–PEW are so far inconclusive. Hyperleptinemia was not associated with anorexia in adult dialysis patients , and expressing leptin levels relative to body weight resulted in the obliteration of apparent leptin-related differences in degrees of anorexia and caloric intake between CKD patients . It has consequently been suggested that the hyperleptinemia associated with CKD is mitigated by the decrease in leptin that results from the loss of body fat mass in anorectic patients. As a result, any links between leptin and appetite are obscured in this population .
The kidney also degrades ghrelin. However, total ghrelin levels are not consistently elevated in CKD, despite the decreased degradation of ghrelin by the kidney [53, 60]. Whereas in some studies elevated ghrelin levels were found in dialysis patients, in other studies, the levels were normal or even low [61, 62, 63]. Multiple confounding factors may contribute to these seemingly contradicting findings. The two major forms of circulating ghrelin are acylated (<10%) and des-acyl ghrelin [64, 65]. Acylated ghrelin promotes food intake while des-acyl ghrelin induces negative energy balance. Most investigators used the traditional radioimmunoassay method to quantify total (acylated plus des-acyl) ghrelin. However, only des-acyl ghrelin levels were elevated in CKD patients compared with individuals with normal renal function. Elevated des-acyl ghrelin has been implicated in CKD-related anorexia . Age, sex, and nutritional status may also influence plasma ghrelin levels [59, 62, 66]. Most studies of CKD patients did not account for abnormalities in nutritional status. Furthermore, nutrients introduced during dialysis (i.e., glucose, amino acids) may also influence plasma ghrelin levels . Future longitudinal studies, in which changes in serum acyl- and des-acyl ghrelin levels (measured using enzyme-linked immunosorbent assay)  and concomitant nutritional status are measured over time, are needed to determine the pathophysiologic role of ghrelin in CKD .
Increased energy expenditure
Increased energy expenditure despite inadequate calorie intake is an important feature of cachexia often observed in CKD. Wang et al.  reported elevated resting energy expenditure (REE) in adults on peritoneal dialysis, with REE predicting subsequent mortality. However, the significance of REE in predicting mortality was gradually reduced when additional adjustment was made for CRP, serum albumin, and residual GFR in a stepwise manner .
Increased REE in CKD may be due to increased activity of mitochondrial uncoupling proteins (UCPs). UCPs, a family of mitochondrial anion transporters, regulate ATP synthesis and the production of reactive oxygen species. Uncoupling of mitochondrial electron transporter chain activity from the phosphorylation of ADP results in thermogenesis . UCP-1 and UCP-3 are key regulators of energy expenditure in rodents  and humans . In a previous investigation, we showed that uremic mice had a higher basal metabolic rate and associated elevations in brown adipose tissue UCP-1 mRNA and protein and UCP-3 protein content compared with pair-fed control mice .
NFκβ is a central integration molecule for pro-inflammatory signals and a regulator of related target genes. As such, NFκβ activation is required for cytokine-induced loss of skeletal muscle proteins. TNF-α induces NFκβ activation, which attenuates insulin-stimulated protein synthesis, leading to muscle wasting. TNF-α also inhibits myocyte differentiation through NFκβ activation, further promoting muscle wasting. Activation of NFκβ signaling is sufficient to induce significant muscle atrophy, as measured by increases in amino acid excretion and tyrosine turnover in isolated muscles . Activation of NFκβ is controlled by Iκβ kinase complex (IKK). Furthermore, inflammation may suppress insulin signaling and increase the production of glucocorticoids .
Myostatin and insulin-like growth factor 1 (IGF-1) represents yin and yang signaling pathways in the pathogenesis of muscle wasting in CKD . Myostatin, which circulates in a latent form that can be activated by acid treatment, downregulates skeletal muscle mass. Myostatin-deficient mice show muscle fiber hyperplasia and hypertrophy, resulting in a marked increase in muscle mass . In contrast, systemic overexpression of myostatin in adult mice induced profound muscle and fat loss analogous to that seen in human cachexia syndromes . Thus, myostatin may act as a muscle “chalone,” a term proposed over 30 years ago for a circulating protein that inhibits the growth of a particular tissue and thereby maintains appropriate tissue mass .
IGF-1 is also essential for the growth and maintenance of skeletal muscle mass. Both IGF-1 and IGF-1 receptor knockout mice were significantly smaller than their control littermates and had reduced muscle mass, whereas overexpressed IGF-1 transgenic mice showed increased muscle mass . Growth retardation and muscle wasting in CKD are associated with perturbations in the growth hormone–IGF-1 axis . Treatment of children with CKD with recombinant human GH has been identified as an important and significant determinant of higher muscle mass relative to height . This finding emphasizes the potential importance of IGF-1 in the pathogenesis of muscle wasting in CKD. The balance between expression of myostatin and IGF-1 is important in regulating muscle mass in CKD .
Many questions remain regarding the description, classification, and treatment of PEW or cachexia in children with CKD. Can nutritional intervention improve the biochemical and clinical disorders related to PEW? If therapeutic interventions are effective at improving indicators of PEW, will clinical outcomes also improve? Our new understanding of the pathophysiology of PEW in CKD has the promise of novel therapeutic strategies. Novel therapies, such as ghrelin agonists  and melanocortin antagonists , are potentially exciting new strategies. However, most of the information is currently at the experimental level and awaits confirmation by randomized controlled clinical trials in children with CKD-associated cachexia/PEW syndrome.
RHM is supported by National Institute of Health(NIH) U01 DK-03-012 grant. WWC is supported by a young investigator award from the National Kidney Foundation. BJF was supported by the Fonds de la recherche en santé du Québec (FRSQ).
Conflict of interest statement
The authors declare no conflict of interests.
This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
- 3.Evans WJ, Morley JE, Argiles J, Bales C, Baracos V, Guttridge D, Jatoi A, Kalantar-Zadeh K, Lochs H, Mantovani G, Marks D, Mitch WE, Muscaritoli M, Najand A, Ponikowski P, Rossi Fanelli F, Schambelan M, Schols A, Schuster M, Thomas D, Wolfe R, Anker SD (2008) Cachexia: a new definition. Clin Nutr 27:793–799PubMedCrossRefGoogle Scholar
- 4.Fouque D, Kalantar-Zadeh K, Kopple J, Cano N, Chauveau P, Cuppari L, Franch H, Guarnieri G, Ikizler TA, Kaysen G, Lindholm B, Massy Z, Mitch W, Pineda E, Stenvinkel P, Trevinho-Becerra A, Wanner C (2008) A proposed nomenclature and diagnostic criteria for protein-energy wasting in acute and chronic kidney disease. Kidney Int 73:391–398PubMedCrossRefGoogle Scholar
- 5.World Health Organization (2010). Nutrition Landscape Information System (NLIS) Country Profile Indicators Interpretation Guide. World Health Organization. Geneva, Available at: http://whqlibdoc.who.int/publications/2010/9789241599955_eng.pdf
- 25.Rambod M, Bross R, Zitterkoph J, Benner D, Pithia J, Colman S, Kovesdy CP, Kopple JD, Kalantar-Zadeh K (2009) Association of malnutrition-inflammation score with quality of life and mortality in hemodialysis patients: a 5-year prospective cohort study. Am J Kidney Dis 53:298–309PubMedCrossRefGoogle Scholar
- 32.Leavey SF, Strawderman RL, Jones CA, Port FK, Held PJ (1998) Simple nutritional indicators as independent predictors of mortality in hemodialysis patients. Am J Clin Nutr 31:997–1006Google Scholar
- 34.Kuczmarski RJ, Ogden CL, Guo SS, Grummer-Strawn LM, Flegal KM, Mei Z, Wei R, Curtin LR, Roche AF, Johnson CL (2002) 2000 CDC growth charts for the United States: methods and development. Vital Health Stat 246:1–19Google Scholar
- 35.World Health Organization (2006) WHO child growth standards: length/height-for-age, weight-for-age, weight-for-height and body mass index-for-age: methods and development. World Health Organization, Geneva. Available at: http://www.who.int/childgrowth/publications/technical_report_pub/en/index.htm
- 36.No authors listed (2000) Clinical practice guidelines for nutrition in chronic renal failure. K/DOQI. National Kidney Foundation. Am J Kidney Dis 35(6 Suppl 2):S1–S140Google Scholar
- 37.World Health Organization Expert Committee on Physical Status (1996). The Use and Interpretation of Anthropometry. Physical Status: Report of a WHO Expert Committee: WHO Technical Report Series 854, WHO, GenevaGoogle Scholar
- 38.World Health Organization (1995) Physical status: the use and interpretation of anthropometry. WHO Technical Report Series. World Health Organization, GenevaGoogle Scholar
- 54.Daschner M, Tonshoff B, Blum WF, Englaro P, Wingen AM, Schaefer F, Wuhl E, Rascher W, Mehls O (1998) Inappropriate elevation of serum leptin levels in children with chronic renal failure. European study group for nutritional treatment of chronic renal failure in children. J Am Soc Nephrol 9:1074–1079PubMedGoogle Scholar
- 57.Rodriguez-Carmona A, Perez Fontan M, Cordido F, Garcia Falcon T, Garcia-Buela J (2000) Hyperleptinemia is not correlated with markers of protein malnutrition in chronic renal failure. A cross-sectional study in predialysis, peritoneal dialysis and hemodialysis patients. Nephron 86:274–280PubMedCrossRefGoogle Scholar
- 67.Perez-Fontan M, Cordido F, Rodriguez-Carmona A, Garcia-Naveiro R, Isidro ML, Villaverde P, Garcia-Buela J (2005) Acute plasma ghrelin and leptin responses to oral feeding or intraperitoneal hypertonic glucose-based dialysate in patients with chronic renal failure. Kidney Int 68:2877–2885PubMedCrossRefGoogle Scholar
- 83.Kuninger DT, Rotwein PS (2003) IGF action and skeletal muscle. In: LeRoith D, Zumkeller W, Baxter R (eds) Insulin-like growth factors. Landes Bioscience/Kluwer Academic/Plenum, New York, pp 235–243Google Scholar