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.1The 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 2016.2 Increased prevalence of obesity was followed by increased
prevalence of hypertension, diabetes, and cardiovascular disease.3,4,5The adverse effects of hypertension and peripheral insulin resistance coupled with
systemic inflammation and dyslipidemia may trigger the development of chronic kidney
disease (CKD).6 The combination of obesity and CKD
has been a topic of debate in the literature.7-14A 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.15The 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.16 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.17Slow 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.18Kidney 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.19The 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.20 The
BMI cutoff points can accurately identify children at increased risk of becoming
overweight and obese,21 and individuals at risk
of developing cardiovascular risk factors (hypertension, dyslipidemia, and insulin
resistance) in adult life.22,23Differently 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.24The 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).25 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.26 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.27This issue of the Brazilian Journal of Nephrology brings a cross-sectional study by
Sawamura et al.28 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 report29 to categorize
blood pressure levels. The categorization proposed in this report was recently
updated30 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,31 as well as in overweight and
obese individuals.32Another aspect to consider is the measurement of the eGFR in pediatric overweight and
obesepatients. 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.33 Since the BMI strongly
correlates with body surface area, the adjustment for this parameter removes the effect
of body weight in the GFR,34 thus underestimating
the true GFR of individuals with a higher BMI and masking occurrences of
hyperfiltration.34,35,36 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.37 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)].38The study by Sawamura et al. poses a challenge around the need to have overweight and
obesechildren 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.
Authors: Paul Zimmet; George Alberti; Francine Kaufman; Naoko Tajima; Martin Silink; Silva Arslanian; Gary Wong; Peter Bennett; Jonathan Shaw; Sonia Caprio Journal: Lancet Date: 2007-06-23 Impact factor: 79.321
Authors: Ania M Jastreboff; Catherine M Kotz; Scott Kahan; Aaron S Kelly; Steven B Heymsfield Journal: Obesity (Silver Spring) Date: 2019-01 Impact factor: 5.002
Authors: Nianzhou Xiao; Todd M Jenkins; Edward Nehus; Thomas H Inge; Marc P Michalsky; Carroll M Harmon; Michael A Helmrath; Mary L Brandt; Anita Courcoulas; Marva Moxey-Mims; Mark M Mitsnefes Journal: Obesity (Silver Spring) Date: 2014-11 Impact factor: 5.002