Acessibilidade / Reportar erro

The effects of obesity on kidney function: a challenge for nephrologists

Obesity is a chronic multifactorial disease stemmed from long-term positive energy balance that leads to excess adiposity and subsequent structural anomalies, physiological disorders, and functional impairment. Obesity increases the risk for other chronic conditions and has been associated with premature death.11 Jastreboff AM , Kotz CM, Kahan S, Kelly AS, Heymsfield SB. Obesity as a Disease: The Obesity Society 2018 Position Statement. Obesity (Silver Spring) 2019;27:7-9.

The global prevalence of obesity grew from less than 1% to 6-8% among boys and girls, 3% to 11% among men, and 6% to 15% among women between 1975 and 2016.22 Jaacks LM, Vandevijvere S, Pan A, McGowan CJ, Wallace C, Imamura F, et al. The obesity transition: stages of the global epidemic. Lancet Diabetes Endocrinol 2019;7:231-40. Increased prevalence of obesity was followed by increased prevalence of hypertension, diabetes, and cardiovascular disease.33 Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014;384:766-81.,44 Forouzanfar MH, Liu P, Roth GA, Ng M, Biryukov S, Marczak L, et al. Global Burden of Hypertension and Systolic Blood Pressure of at Least 110 to 115 mm Hg, 1990-2015. JAMA 2017;317:165-82.,55 Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration (BMI Mediated Effects), Lu Y, Hajifathalian K, Ezzati M, Woodward M, Rimm EB, Danaei G. Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1.8 million participants. Lancet 2014;383:970-83.

The adverse effects of hypertension and peripheral insulin resistance coupled with systemic inflammation and dyslipidemia may trigger the development of chronic kidney disease (CKD).66 Whaley-Connell A, Sowers JR. Obesity and kidney disease: from population to basic science and the search for new therapeutic targets. Kidney Int 2017;92:313-23. The combination of obesity and CKD has been a topic of debate in the literature.77 Jung CH, Lee MJ, Kang YM, Hwang JY, Kim EH, Park JY, et al. The risk of chronic kidney disease in a metabolically healthy obese population. Kidney Int 2015;88:843-50.

8 Nishikawa K, Takahashi K, Okutani T, Yamada R, Kinaga T, Matsumoto M, et al. Risk of chronic kidney disease in non-obese individuals with clustering of metabolic factors: a longitudinal study. Intern Med 2015;54:375-82.

9 Watanabe H, Obata H, Watanabe T, Sasaki S, Nagai K, Aizawa Y. Metabolic syndrome and risk of development of chronic kidney disease: the Niigata preventive medicine study. Diabetes Metab Res Rev 2010;26:26-32.

10 Yamagata K, Ishida K, Sairenchi T, Takahashi H, Ohba S, Shiigai T, et al. Risk factors for chronic kidney disease in a community-based population: a 10-year follow-up study. Kidney Int 2007;71:159-66.

11 Domrongkitchaiporn S, Sritara P, Kitiyakara C, Stitchantrakul W, Krittaphol V, Lolekha P, et al. Risk factors for development of decreased kidney function in a southeast Asian population: a 12-year cohort study. J Am Soc Nephrol 2005;16:791-9.

12 Gelber RP, Kurth T, Kausz AT, Manson JE, Buring JE, Levey AS, et al. Association between body mass index and CKD in apparently healthy men. Am J Kidney Dis 2005;46:871-80.

13 Tohidi M, Hasheminia N, Mohebi R, Khalili D, Hosseinpanah F, Yazdani B, et al. Incidence of chronic kidney disease and its risk factors, results of over 10 year follow up in an Iranian cohort. PLoS One 2012;7:e45304.
-1414 Foster MC, Hwang SJ, Larson MG, Lichtman JH, Parikh NI, Vasan RS, et al. Overweight, obesity, and the development of stage 3 CKD: the Framingham Heart Study. Am J Kidney Dis 2008;52:39-48.

A recent meta-analysis looked into the findings from more than five million individuals from 40 countries and 63 general population cohorts, including patients with increased cardiovascular risk and patients with CKD. Studies published between 1970 and 2017 were analyzed for possible associations between measurements of adiposity, decreased estimated glomerular filtration rate (eGFR), and all-cause mortality. Long-term follow-up data revealed that individuals with a BMI greater than 30 kg/m2 belonging to general population cohorts were at significantly higher risk of suffering from eGFR decreases and showed a J-shaped association between BMI and death, with lower risk for individuals with a BMI of 25 kg/m2. In the cohorts with high cardiovascular risk and CKD, the association between an elevated BMI and lower eGFR was weaker than in the general population, but the J-shaped association between BMI and death with lower risk for individuals with a BMI between 25 and 30 kg/m2 persisted. The authors concluded that elevated BMI, waist circumference, and waist-height ratio were independent risk factor for eGFR declines and death in individuals with normal or decreased levels of eGFR.1515 Chang AR Grams ME, Ballew SH, Bilo H, Correa A, Evans M, et al.; CKD Prognosis Consortium (CKD-PC). Adiposity and risk of decline in glomerular filtration rate: meta-analysis of individual participant data in a global consortium. BMJ 2019;364:k5301.

The deleterious effects of obesity on renal function may occur indirectly - via hypertension and/or diabetes mellitus - or directly by the production of adipokines, which trigger the onset of inflammation, oxidative stress, abnormal lipid metabolism, activation of the renin-angiotensin-aldosterone system, increased insulin production, and insulin resistance.1616 Bastard JP, Maachi M, Lagathu C, Kim MJ, Caron M, Vidal H, et al. Recent advances in the relationship between obesity, inflammation, and insulin resistance. Eur Cytokine Netw 2006;17:4-12. These factors result in ectopic lipid accumulation in renal tissue, leading to functional and structural impairment of mesangial cells, podocytes, and the proximal tubule, culminating with glomerular hypertension, increased glomerular permeability, hyperfiltration, glomerulomegaly, albuminuria and even focal segmental glomerulosclerosis (FSGS) in some cases.1717 de Vries AP, Ruggenenti P, Ruan XZ, Praga M, Cruzado JM, Bajema IM, et al.; ERA-EDTA Working Group Diabesity. Fatty kidney: emerging role of ectopic lipid in obesity-related renal disease. Lancet Diabetes Endocrinol 2014;2:417-26.

Slow progression of non-nephrotic range proteinuria is the most common manifestation in obesity-related glomerulopathy (ORG). Massive proteinuria (> 5-10 g/day) may occur in some cases. Findings typical of nephrotic syndrome are usually absent in patients with nephrotic-range proteinuria. The harmful effects of obesity may combine with other renal conditions and add to the effects inherent to having a low number of nephrons, thereby accelerating progression to end-stage renal disease.1818 Praga M, Morales E. The Fatty Kidney: Obesity and Renal Disease. Nephron 2017;136:273-6.

Kidney biopsies of patients with ORG show more signs of glomerulopathy and fewer of glomerulosclerosis than the biopsies of patients with nephrotic syndrome. In the long run, patients with ORG treated with angiotensin-converting-enzyme (ACE) inhibitors or angiotensin II receptor blockers are less frequently affected by two-fold increases in serum creatinine levels and progression to end-stage renal disease than patients with nephrotic syndrome on immunosuppressants. Elevated serum creatinine at presentation and proteinuria are markers of progression to poor renal function in individuals with ORG.1919 Kambham N, Markowitz GS, Valeri AM, Lin J, D'Agati VD. Obesity-related glomerulopathy: an emerging epidemic. Kidney Int 2001;59:1498-509.

The BMI of pediatric patients changes as they grow, and should be interpreted as a function of the age and sex of the patient. Individuals with a BMI equal to or greater than the 85th percentile and less than the 95th percentile are overweight. Individuals with a BMI greater than the 95th percentile for their age and sex are obese.2020 Barlow SE; Expert Committee. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics 2007;120:S164-92. The BMI cutoff points can accurately identify children at increased risk of becoming overweight and obese,2121 Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med 1997;337:869-73. and individuals at risk of developing cardiovascular risk factors (hypertension, dyslipidemia, and insulin resistance) in adult life.2222 Freedman DS, Dietz WH, Srinivasan SR, Berenson GS. The relation of overweight to cardiovascular risk factors among children and adolescents: the Bogalusa Heart Study. Pediatrics 1999;103:1175-82.,2323 Freedman DS, Khan LK, Dietz WH, Srinivasan SR, Berenson GS. Relationship of childhood obesity to coronary heart disease risk factors in adulthood: the Bogalusa Heart Study. Pediatrics 2001;108:712-8.

Differently from the adult population, there is no consensus over the definition of metabolic syndrome for pediatric patients. The definition used more frequently today comes from the International Diabetes Federation, which applies to patients aged 10 years or older and considers measurements of waist circumference (≥ 90th percentile ot ≥ 94 cm for boys and ≥ 80 cm for girls), triglycerides ≥ 150 mg/dL, HDL-C (< 40 mg/dL for boys and < 50 mg/dL for girls), systolic/diastolic blood pressure ≥ 130 and/or 85 mmHg, and blood glucose ≥ 100mg/dL.2424 Zimmet P, Alberti G, Kaufman F, Tajima N, Silink M, Arslanian S, et al.; International Diabetes Federation Task Force on Epidemiology and Prevention of Diabetes. The metabolic syndrome in children and adolescents. Lancet 2007;369:2059-61.

The association between BMI and risk of developing end-stage renal disease was evaluated in 1.2 million 17-year-old adolescents followed for 30 years. The incidence rate of CKD in the period of the study was 2.87 cases per 100,000 person-years. When compared to adolescents with normal weight, overweight and obese adolescents had increased future risk for end-stage renal disease, with incidence rates of 6.08 and 13.40 cases per 100,000 person-years, respectively. In a multivariate model, overweightness and obesity were associated with development of all-cause end-stage renal disease (odds ratios of 3.00 and 6.89, respectively).2525 Vivante A, Golan E, Tzur D, Leiba A, Tirosh A, Skorecki K, et al. Body mass index in 1.2 million adolescents and risk for end-stage renal disease. Arch Intern Med 2012;172:1644-50. Pre-bariatric surgery data of 242 adolescents included in the "Teen-LABS" trial showed that 14% had microalbuminuria; 3% had macroalbuminuria; 3% had eGFR < 60 mL/min/1.73m2; and 7.1% had eGFR > 150 mL/min/1.73m2. Increased BMI and HOMA-IR (Homeostasis Model Assessment for insulin resistance) index were significantly associated with lower eGFR.2626 Xiao N, Jenkins TM, Nehus E, Inge TH, Michalsky MP, Harmon CM, et al.; Teen-LABS Consortium. Kidney function in severely obese adolescents undergoing bariatric surgery. Obesity (Silver Spring) 2014;22:2319-25. The patients were reviewed three years after surgery, revealing significant improvements in the mean eGFR, with an estimated gain of 3.9 mL/min/1.73m2 of eGFR for each 10-unit decrease of the BMI. Marked improvements were also seen in albuminuria levels in relation to preoperative values.2727 Nehus EJ, Khoury JC, Inge TH, Xiao N, Jenkins TM, Moxey-Mims MM, et al. Kidney outcomes three years after bariatric surgery in severely obese adolescents. Kidney Int 2017;91:451-8.

This issue of the Brazilian Journal of Nephrology brings a cross-sectional study by Sawamura et al.2828 Sawamura LS, Souza GG, Santos JDG, Suano-Souza FI, Gessullo ADV, Sarni ROS. Albuminuria and glomerular filtration rate in obese children and adolescents. Braz J Nephrol 2018 Oct 11. pii: S0101-28002018005036101. in which 64 obese and overweight children and adolescents aged between five and 19 years were evaluated for frequency of albuminuria and its associations with severity of obesity, pubertal staging, morbidity, and eGFR. The mean age of the participants was 11.6 years and they were homogeneously distributed in relation to sex. Nearly half (45.3%) were prepubertal children. The high proportion of obese individuals (71.9%) in the series is noteworthy. The frequency and median value of albuminuria (> 30 mg/g) were 21.9% and 9.4 mg/g, respectively. The authors found no correlation between BMI, pubertal staging, insulin and HOMA-IR, or albuminuria levels and eGFR. The study did not show associations with other morbidities, with the exception of diastolic BP, which tended to higher values in individuals with microalbuminuria. The frequency of microalbuminuria found in this study was greater than the values reported in similar published studies. The disparity may stem from the different definitions used for microalbuminuria and the tests used to measure it. The absence of a control group in the study hinders the analysis of these variables.

In terms of the correlation between microalbuminuria and hypertension, Sawamura et al. used the 2004 Task Force report2929 National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics 2004;114:555-76. to categorize blood pressure levels. The categorization proposed in this report was recently updated3030 Flynn JT, Kaelber DC, Baker-Smith CM, Blowey D, Carroll AE, Daniels SR, et al.; SUBCOMMITTEE ON SCREENING AND MANAGEMENT OF HIGH BLOOD PRESSURE IN CHILDREN. Clinical Practice Guideline for Screening and Management of High Blood Pressure in Children and Adolescents. Pediatrics 2017;140 pii:e20171904. with relevant changes in the parameters used to define hypertension in children and adolescents. The new definitions may potentially redefine the prevalence of hypertension in the general pediatric population,3131 Al Kibria GM, Swasey K, Sharmeen A, Day B. Estimated Change in Prevalence and Trends of Childhood Blood Pressure Levels in the United States After Application of the 2017 AAP Guideline. Prev Chronic Dis 2019;16:E12. DOI: 10.5888/pcd16.180528
https://doi.org/10.5888/pcd16.180528...
as well as in overweight and obese individuals.3232 Di Bonito P, Valerio G, Pacifico L, Chiesa C, Invitti C, Morandi A, et al; CARITALY Study group; on the behalf of the Childhood Obesity Study Group of the Italian Society of Pediatric Endocrinology, Diabetology. Impact of the 2017 Blood Pressure Guidelines by the American Academy of Pediatrics in overweight/obese youth. J Hypertens. 2019;37:732-8.

Another aspect to consider is the measurement of the eGFR in pediatric overweight and obese patients. The normalization of the eGFR to a standardized body surface area of 1.73 m2 was proposed to allow comparisons between the pediatric and adult populations.3333 Delanaye P, Mariat C, Cavalier E, Krzesinski JM. Errors induced by indexing glomerular filtration rate for body surface area: reductio ad absurdum. Nephrol Dial Transplant 2009;24:3593-6. Since the BMI strongly correlates with body surface area, the adjustment for this parameter removes the effect of body weight in the GFR,3434 Wuerzner G, Bochud M, Giusti V, Burnier M. Measurement of glomerular filtration rate in obese patients: pitfalls and potential consequences on drug therapy. Obes Facts 2011;4:238-43. thus underestimating the true GFR of individuals with a higher BMI and masking occurrences of hyperfiltration.3434 Wuerzner G, Bochud M, Giusti V, Burnier M. Measurement of glomerular filtration rate in obese patients: pitfalls and potential consequences on drug therapy. Obes Facts 2011;4:238-43.,3535 Soares AA, Prates AB, Weinert LS, Veronese FV, de Azevedo MJ, Silveiro SP. Reference values for glomerular filtration rate in healthy Brazilian adults. BMC Nephrol 2013;14:54.,3636 Si H, Lei Z, Li S, Liu J, Geng J, Chen S. Lean body mass is better than body surface area in correcting GFR. Clin Nucl Med 2013;38:e210-5. A recent pediatric study showed that this issue may be overcome if the body surface area is calculated using the ideal instead of the actual weight.3737 Correia-Costa L, Schaefer F, Afonso AC, Bustorff M, Guimarães JT, Guerra A, et al. Normalization of glomerular filtration rate in obese children. Pediatr Nephrol 2016;31:1321-8. Another possibility revolves around the use of cystatin C, a marker deemed superior to the eGFR. Filler & Lepage, in a study enrolling children and adolescents with kidney conditions aged between one and 18 years, derived the following equation for the eGFR from serum cystatin C: log (GFR) = 1.962 + [1.123 * log (1 /Cystatin C)].3838 Filler G, Lepage N. Should the Schwartz formula for estimation of GFR be replaced by cystatin C formula? Pediatr Nephrol 2003:18:981-5.

The study by Sawamura et al. poses a challenge around the need to have overweight and obese children and adolescents followed by multiprofessional teams guided by prospective protocols to detect and manage the various potential complications arising from a clinical condition recently promoted to the status of global epidemics.

References

  • 1
    Jastreboff AM , Kotz CM, Kahan S, Kelly AS, Heymsfield SB. Obesity as a Disease: The Obesity Society 2018 Position Statement. Obesity (Silver Spring) 2019;27:7-9.
  • 2
    Jaacks LM, Vandevijvere S, Pan A, McGowan CJ, Wallace C, Imamura F, et al. The obesity transition: stages of the global epidemic. Lancet Diabetes Endocrinol 2019;7:231-40.
  • 3
    Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014;384:766-81.
  • 4
    Forouzanfar MH, Liu P, Roth GA, Ng M, Biryukov S, Marczak L, et al. Global Burden of Hypertension and Systolic Blood Pressure of at Least 110 to 115 mm Hg, 1990-2015. JAMA 2017;317:165-82.
  • 5
    Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration (BMI Mediated Effects), Lu Y, Hajifathalian K, Ezzati M, Woodward M, Rimm EB, Danaei G. Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1.8 million participants. Lancet 2014;383:970-83.
  • 6
    Whaley-Connell A, Sowers JR. Obesity and kidney disease: from population to basic science and the search for new therapeutic targets. Kidney Int 2017;92:313-23.
  • 7
    Jung CH, Lee MJ, Kang YM, Hwang JY, Kim EH, Park JY, et al. The risk of chronic kidney disease in a metabolically healthy obese population. Kidney Int 2015;88:843-50.
  • 8
    Nishikawa K, Takahashi K, Okutani T, Yamada R, Kinaga T, Matsumoto M, et al. Risk of chronic kidney disease in non-obese individuals with clustering of metabolic factors: a longitudinal study. Intern Med 2015;54:375-82.
  • 9
    Watanabe H, Obata H, Watanabe T, Sasaki S, Nagai K, Aizawa Y. Metabolic syndrome and risk of development of chronic kidney disease: the Niigata preventive medicine study. Diabetes Metab Res Rev 2010;26:26-32.
  • 10
    Yamagata K, Ishida K, Sairenchi T, Takahashi H, Ohba S, Shiigai T, et al. Risk factors for chronic kidney disease in a community-based population: a 10-year follow-up study. Kidney Int 2007;71:159-66.
  • 11
    Domrongkitchaiporn S, Sritara P, Kitiyakara C, Stitchantrakul W, Krittaphol V, Lolekha P, et al. Risk factors for development of decreased kidney function in a southeast Asian population: a 12-year cohort study. J Am Soc Nephrol 2005;16:791-9.
  • 12
    Gelber RP, Kurth T, Kausz AT, Manson JE, Buring JE, Levey AS, et al. Association between body mass index and CKD in apparently healthy men. Am J Kidney Dis 2005;46:871-80.
  • 13
    Tohidi M, Hasheminia N, Mohebi R, Khalili D, Hosseinpanah F, Yazdani B, et al. Incidence of chronic kidney disease and its risk factors, results of over 10 year follow up in an Iranian cohort. PLoS One 2012;7:e45304.
  • 14
    Foster MC, Hwang SJ, Larson MG, Lichtman JH, Parikh NI, Vasan RS, et al. Overweight, obesity, and the development of stage 3 CKD: the Framingham Heart Study. Am J Kidney Dis 2008;52:39-48.
  • 15
    Chang AR Grams ME, Ballew SH, Bilo H, Correa A, Evans M, et al.; CKD Prognosis Consortium (CKD-PC). Adiposity and risk of decline in glomerular filtration rate: meta-analysis of individual participant data in a global consortium. BMJ 2019;364:k5301.
  • 16
    Bastard JP, Maachi M, Lagathu C, Kim MJ, Caron M, Vidal H, et al. Recent advances in the relationship between obesity, inflammation, and insulin resistance. Eur Cytokine Netw 2006;17:4-12.
  • 17
    de Vries AP, Ruggenenti P, Ruan XZ, Praga M, Cruzado JM, Bajema IM, et al.; ERA-EDTA Working Group Diabesity. Fatty kidney: emerging role of ectopic lipid in obesity-related renal disease. Lancet Diabetes Endocrinol 2014;2:417-26.
  • 18
    Praga M, Morales E. The Fatty Kidney: Obesity and Renal Disease. Nephron 2017;136:273-6.
  • 19
    Kambham N, Markowitz GS, Valeri AM, Lin J, D'Agati VD. Obesity-related glomerulopathy: an emerging epidemic. Kidney Int 2001;59:1498-509.
  • 20
    Barlow SE; Expert Committee. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics 2007;120:S164-92.
  • 21
    Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med 1997;337:869-73.
  • 22
    Freedman DS, Dietz WH, Srinivasan SR, Berenson GS. The relation of overweight to cardiovascular risk factors among children and adolescents: the Bogalusa Heart Study. Pediatrics 1999;103:1175-82.
  • 23
    Freedman DS, Khan LK, Dietz WH, Srinivasan SR, Berenson GS. Relationship of childhood obesity to coronary heart disease risk factors in adulthood: the Bogalusa Heart Study. Pediatrics 2001;108:712-8.
  • 24
    Zimmet P, Alberti G, Kaufman F, Tajima N, Silink M, Arslanian S, et al.; International Diabetes Federation Task Force on Epidemiology and Prevention of Diabetes. The metabolic syndrome in children and adolescents. Lancet 2007;369:2059-61.
  • 25
    Vivante A, Golan E, Tzur D, Leiba A, Tirosh A, Skorecki K, et al. Body mass index in 1.2 million adolescents and risk for end-stage renal disease. Arch Intern Med 2012;172:1644-50.
  • 26
    Xiao N, Jenkins TM, Nehus E, Inge TH, Michalsky MP, Harmon CM, et al.; Teen-LABS Consortium. Kidney function in severely obese adolescents undergoing bariatric surgery. Obesity (Silver Spring) 2014;22:2319-25.
  • 27
    Nehus EJ, Khoury JC, Inge TH, Xiao N, Jenkins TM, Moxey-Mims MM, et al. Kidney outcomes three years after bariatric surgery in severely obese adolescents. Kidney Int 2017;91:451-8.
  • 28
    Sawamura LS, Souza GG, Santos JDG, Suano-Souza FI, Gessullo ADV, Sarni ROS. Albuminuria and glomerular filtration rate in obese children and adolescents. Braz J Nephrol 2018 Oct 11. pii: S0101-28002018005036101.
  • 29
    National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics 2004;114:555-76.
  • 30
    Flynn JT, Kaelber DC, Baker-Smith CM, Blowey D, Carroll AE, Daniels SR, et al.; SUBCOMMITTEE ON SCREENING AND MANAGEMENT OF HIGH BLOOD PRESSURE IN CHILDREN. Clinical Practice Guideline for Screening and Management of High Blood Pressure in Children and Adolescents. Pediatrics 2017;140 pii:e20171904.
  • 31
    Al Kibria GM, Swasey K, Sharmeen A, Day B. Estimated Change in Prevalence and Trends of Childhood Blood Pressure Levels in the United States After Application of the 2017 AAP Guideline. Prev Chronic Dis 2019;16:E12. DOI: 10.5888/pcd16.180528
    » https://doi.org/10.5888/pcd16.180528
  • 32
    Di Bonito P, Valerio G, Pacifico L, Chiesa C, Invitti C, Morandi A, et al; CARITALY Study group; on the behalf of the Childhood Obesity Study Group of the Italian Society of Pediatric Endocrinology, Diabetology. Impact of the 2017 Blood Pressure Guidelines by the American Academy of Pediatrics in overweight/obese youth. J Hypertens. 2019;37:732-8.
  • 33
    Delanaye P, Mariat C, Cavalier E, Krzesinski JM. Errors induced by indexing glomerular filtration rate for body surface area: reductio ad absurdum. Nephrol Dial Transplant 2009;24:3593-6.
  • 34
    Wuerzner G, Bochud M, Giusti V, Burnier M. Measurement of glomerular filtration rate in obese patients: pitfalls and potential consequences on drug therapy. Obes Facts 2011;4:238-43.
  • 35
    Soares AA, Prates AB, Weinert LS, Veronese FV, de Azevedo MJ, Silveiro SP. Reference values for glomerular filtration rate in healthy Brazilian adults. BMC Nephrol 2013;14:54.
  • 36
    Si H, Lei Z, Li S, Liu J, Geng J, Chen S. Lean body mass is better than body surface area in correcting GFR. Clin Nucl Med 2013;38:e210-5.
  • 37
    Correia-Costa L, Schaefer F, Afonso AC, Bustorff M, Guimarães JT, Guerra A, et al. Normalization of glomerular filtration rate in obese children. Pediatr Nephrol 2016;31:1321-8.
  • 38
    Filler G, Lepage N. Should the Schwartz formula for estimation of GFR be replaced by cystatin C formula? Pediatr Nephrol 2003:18:981-5.

Publication Dates

  • Publication in this collection
    30 May 2019
  • Date of issue
    Apr-Jun 2019

History

  • Received
    05 Apr 2019
  • Accepted
    08 Apr 2019
Sociedade Brasileira de Nefrologia Rua Machado Bittencourt, 205 - 5ºandar - conj. 53 - Vila Clementino - CEP:04044-000 - São Paulo SP, Telefones: (11) 5579-1242/5579-6937, Fax (11) 5573-6000 - São Paulo - SP - Brazil
E-mail: bjnephrology@gmail.com