- Riley Hospital for Children, Division of Pediatric Nephrology, Indiana University School of Medicine, Indianapolis, IN, United States
Obesity is an increasing problem in pediatrics, leading to cardiovascular, metabolic and psychosocial complications. Additionally, for patients with chronic kidney disease (CKD), obesity can lead to CKD progression towards end-stage renal disease (ESRD) needing renal-replacement therapy (RRT). It is well-established that the optimal type of RRT for children with ESRD is kidney transplantation, as it provides significantly better life expectancy and quality of life. Unfortunately, pediatric patients with CKD/ESRD and obesity face barriers getting to kidney transplantation and often remain on dialysis for a long time, which negatively impacts their life expectancy and quality of life. One barrier to kidney transplant is that Body Mass Index (BMI) is still considered by most transplant centers as the main criterion for obesity assessment, although more recent evidence suggests that BMI is not the best measure of adiposity. Clearcut evidence is lacking that obesity has a long-term negative impact upon the graft. Another barrier to transplant can be bias on the part of referring providers that can deter or delay referral to an obesity treatment program. Our article describes the barriers that pediatric obese patients with CKD and ESRD face in their way towards kidney transplantation. In addition, our article encourages pediatric nephrologists to early refer their patients with CKD and ESRD who suffer from obesity to a specialized obesity treatment program and/or bariatric surgery. Our article also describes the treatment options for pediatric patients with CKD and ESRD who suffer from obesity in order to make them eligible for a kidney transplant.
1 Introduction
Obesity in the pediatric population is an increasing problem. Between 1975 and 2016, the global age-standardised obesity prevalence world-wide increased from 0.7% (95% CI: 0.4–1.2) to 5.6% (CI: 4.8–6.5) for girls and from 0.9% (95% CI: 0.5–1.3) to 7.8% (CI: 6.7–9.1) for boys. Since 2000, this worrisome trend almost plateaued around these high levels in many high-income countries, but unfortunately has continued to rise in low and middleincome countries (1). It is estimated that by 2030, there will be 254 million children and adolescents with obesity across the globe (1). Specifically in the United States, as of 2017, the incidence of obesity among adolescents age 12–19 years was 21.2% (2).
According to the American Academy of Pediatrics (AAP), the definition of obesity is based on Body Mass Index (BMI) as follows: being overweight is charactetized by having a BMI between 85th percentile to less than the 95th percentile for age, or 25–29.9 kg/m2; Class 1 obesity is characterized by having a BMI between 95th percentile to less than 120% of the 95th percentile for age, or 30–34.9 kg/m2; Class 2 Obesity is characterized by having a BMI between 120% to less than 140% of the 95th percentile for age or BMI ≥ 35 to <40 kg/m2; Class 3 Obesity is characterized by having a BMI equal to 140% of the 95th percentile for age or over or BMI ≥ 40 kg/m2 (3).
The prevalence of obesity may be even higher in the pediatric chronic kidney disease (CKD) and end stage renal disease (ESRD) population, with studies citing prevalence of 12%–15% in the pediatric CKD and ESRD populations (4, 5). In addition to potential for developing adverse cardiovascular effects, metabolic syndrome, worsening of proteinuria and progression of CKD, pediatric patients with CKD/ESRD and obesity also unfortunately face barriers getting to kidney transplantation (6).
2 Selection for kidney transplant process for pediatric patients with obesity
2.1 The current selection process
The kidney transplant recipient selection process is rigorous and many criteria must be met for either approval for a living-donor transplant or activation on the United Network for Organ Sharing (UNOS) waiting list (7). One of the criteria for successful activation is generally a BMI within a certain range (4). The BMI cut-off criteria varies between transplant centers, but a survey by the AST (American Society of Transplantation) noted that 66 out of 67 surveyed centers used BMI in selection criteria, and the range of 35–45 kg/m2 as the upper limit for acceptance was used (8).
2.2 The rationale for the current selection process
Practice guidelines from the American Society of Transplantation pointed to increased risk for short-term and long-term complications as the reasoning behind BMI-based selection of transplant recipients (9). As far as short-term complications of obesity post-transplant, cardiovascular instability, delayed-graft function, impaired wound healing and increased risk for infections and surgical complications have been mentioned. As far as long-term complications, cardiovascular disease and possibly shorter graft survival have been suggested (9).
Short-term post-transplantation in patients with obesity, issues that have been cited as reasons for limiting transplantation in obese patients include that patients with obesity may become unstable at time of transplant. For example, approximately 60% of nondiabetic obese patients experience hyperglycemia in the immediate post-transplant phase (10). Obesity has been associated with delayed graft function – possibly related to longer time in the operating room (11). In addition, patients with obesity may have difficulty with wound healing and may develop infections and surgical complications due to larger incisions and also possible comorbid diabetes (12).
Regarding long-term complications post-transplantation in children with obesity, development of hypertension with associated increased odds of left ventricular hypertrophy and worse longitudinal strain have been reported (13). Obesity can lead to a reduction in glomerular filtration rate and proteinuria, which can contribute to graft failure over time (14). Additional risk factors that will expedite a patient's pathway to progressive CKD include comorbid complications that are typically associated with obesity, including hypertension, insulin resistance, hyperlipidemia and atherosclerosis (14). Obesity in pediatrics might be an independent risk factor for kidney transplant rejection and graft failure, as a negative correlation has been shown to exist between mean BMI and years of kidney graft survival (15). However, there is a lack of prospective study data on outcomes including graft loss or death after transplant in the obese adult transplant population, and even less data in the pediatric population (16). Therefore, using BMI cut-offs to restrict access to pediatric kidney transplantation may not be valid using the argument of potentially worsened graft function in patients suffering from obesity.
2.3 Problems with the current selection process
BMI as a criterion for selection may be more of a hindrance than a help. BMI is considered a controversial measure of adiposity, as it does not take muscle mass into consideration. It has been suggested that waist circumference is likely a better measure of abdominal adiposity (16). Waist circumference is known to be associated with increased cardiovascular disease risk (16). However, it has been noted that most patients with BMI over 35 kg/m2 will also have an abnormal waist circumference and thus an increased risk of cardiovascular disease (16). In addition, BMI does not take into account the inherent differences in adiposity between males and females (higher adiposity in females vs. higher muscle mass in males) (11). Currently there is no consensus among national organizations on definition of obesity using percentage of body fat, although there are multiple ways to measure body fat including bioelectrical impedance analysis (BIA), dual-energy x-ray absorptiometry (DXA) and hydrostatic weighing (9, 17).
BIA can measure body composition by applying a small alternating electrical current to the body and measuring electrical resistance (18). BIA devices from different manufacturers utilize mathematical models involving height, weight, age and sex for estimating the percentage of body fat (18). Several studies have shown BIA to be relatively accurate for estimating body composition in different adult populations, including healthy adults, malnourished ones, as well as those who suffer from obesity (19, 20). Emerging data exist in children, where BIA accurately estimated body fat percentage while also having the practical advantage of being done as a point of care test (21). DXA provides measures of body fat mass, lean mass, bone mineral content and body fat percentage and it has been shown to be relatively accurate, including in children (22). Unfortunately, DXA is not available as a point of care test and it involves radiation exposure, thus limiting its broad application in clinical practice (23). HW, also known as underwater weighing, hydrostatic body composition analysis or hydrodensitometry, basically measures body density using Archimedes' principle (24). Many equations have been published that reliably estimate body fat percentage from body density, both in general and special populations, however data in children is very limited (25). In addition, the equipment used is voluminous and not widely available, making its use very impractical (24). By accurately estimating the percentage of body fat, one can hope to better select transplant candidates, as some patients who were classified as obese based on BMI might have simply had larger bone structures and muscle mass, thus exaggerating the BMI and the degree of obesity. Unfortunately, while BMI may not be the ideal indicator of obesity, there is currently no other agreed-upon manner to assess it for transplant listing purposes.
A 2011 study showed that in hemodialysis patients, pre-transplant obesity was not associated with an increased risk of post-transplant graft failure or mortality, and instead a higher pre-transplant muscle mass was associated with better graft survival and decreased mortality (26). In theory, this may be due to improved nutrition and overall physical health in patients with a higher muscle mass than their counterparts with lower muscle mass (26).
2.4 Bias against patients suffering from obesity
Pediatric patients with obesity (even without CKD/ESRD) are at risk for bullying and stigmatization by their peers. Starting from an early age, children show weight-based stigma towards their peers suffering from obesity, viewing them as “ugly” and “lazy” (27). The stigmatization, however, does not stop at the peer level, as stigmatizing attitudes toward patients with obesity are expressed by medical professionals across diverse specialties (28).
A 2008 study looked at over 120,000 wait-listed patients in the United States and found that likelihood of being transplanted was inversely related to degree of obesity (thus more obese patients were less likely to receive a kidney transplant). The authors suggested that obese patients are considered less profitable than non-obese patients given risk for perioperative complications, and the fact that transplant centers may be penalized for poor outcomes if they occur in obese patients (29).
A study in 2014 found that for females, being classified as obese led to lower access to kidney transplantation compared to obese males and that time to transplantation after wait-listing was longer for obese women compared to obese men. This disparity was actually noted even starting with being overweight category. The authors pointed out that BMI is a potentially modifiable factor that can lead to sex-based inequity in access to transplantation (30).
In addition, there is also implicit bias on the part of physicians and even families that can deter or delay referral of pediatric patients to an obesity treatment program and/or bariatric surgery (31).
3 Non-pharmacological therapy
The American Board of Obesity Medicine (ABOM) pediatric obesity algorithm guidelines recommend that providers start management of obesity with intensive lifestyle therapy (including dietary counseling, physical exercise and shared decision making with the patient and family) and adjustment of any weight-promoting medications first (32).
Registered dieticians (RDs) play a critical role in obesity management, and weight management programs with RDs are more successful than those without them (33). Obesity can be addressed by addressing food insecurity. The prevalence of obesity is higher in adolescents from food-insecure households (34). Among healthy low-income children, monthly change in BMI is higher in food-insecure children (and thus they have a less optimal weight trajectory than food-secure children) (35). Food insecurity is known to be associated with increased hypertension, diabetes, heart disease, heart failure, stroke and CKD in adult patients (36). The associations between food insecurity and cardiometabolic outcomes have not been studied extensively in children.
Physical activity plays a very important role in prevention, as well as treatment of obesity (37). Physical activity should be adapted according to age and comorbidities (38). For example, the use of a pedometer has been associated with increased physical activity in adult patients, as well as a decrease in BMI. Having a step goal, such as 10,000 steps per day, has been associated with increased physical activity (39). In the pediatric population, having a pedometer with realistic goals like taking 500 steps/day above baseline has been found to significantly reduce BMI and to increase patients' subjective health and quality of life (40). It is also advisable to minimize screen time and promote other positive psychosocial influences, such as family meals, mindfulness during eating, stress management and emotional well-being, in order to prevent the onset of obesity (41).
The provider may consider advanced therapies such as pharmacotherapy or surgery in addition to intensive lifestyle therapy if needed (32).
4 Medical therapy
The ABOM recommends that a provider may start appropriate anti-obesity medication after the following are completed: careful history taking, physical exam, review of systems, review of medications which may prevent weight loss or promote weight gain, screening for obesity-related comorbidities, screening for genetic causes of obesity and screening for syndromic obesity (32).
Currently, there are only a few medications which are United States Food and Drug Administration (FDA)-approved for treatment of non-genetic causes of obesity in pediatric patients: Orlistat (for children 12 years and older) and Phentermine (for children 16 years and older) (42). All other obesity medications available in the United States are only FDA-approved for use in patients 18 years old and over, so use of these medications is considered off-label (42). Furthermore, randomized control trials supporting the safety and efficacy of these off-label medications in pediatric patients are limited (42). Therefore, caution is advised with prescription of off-label medications for pediatric use, and it is encouraged that an experienced pediatric obesity medicine provider and multidisciplinary team be involved in the care of pediatric patients suffering from obesity (42).
A 2021 meta-analysis examined the effects of glucagon-like peptide 1 (GLP-1) agonists in children less than 18 years old with obesity and/or type 2 diabetes (43). The authors found that GLP-1 agonists reduced body weight more in children with obesity than children with type 2 diabetes, and that the effect sizes were similar to adult studies (43). They also found mild side effects including gastrointestinal symptoms and mild hypoglycemia, but no serious adverse events (43). Currently, GLP-1 agonists are only approved by FDA for children with type 2 diabetes who are 10 years old and older (43). However, the authors suggested that GLP-1 agonists can be considered for treatment of pediatric obesity as they are relatively effective and safe (43).
Selective sodium-glucose cotransporter 2 (SGLT2) inhibitors, approved for the treatment of type 2 diabetes in adults, function via an insulin-independent mechanism for improving blood glucose levels (44). SGLT2 inhibitors enhance glucose excretion in the urine by almost 50% by inhibiting the reabsorption of filtered glucose in the proximal tubules (44). In addition, SGLT2 inhibitors have been also found to promote weight loss (45). A meta-analysis of adult patients with type 2 diabetes showed that SGLT2 inhibitors use was associated with a decrease in body weight of 2.01 kg (95% CI: −2.18 to −1.83 kg) compared to baseline (45). The mechanism is not well-understood, however, seems to be beyond what can be simply explained by glycosuria and its resulting energy deficit and also beyond water excretion via osmotic diuresis (44). However, SGLT2 inhibitors are not approved specifically for weight loss in the absence of diabetes in any patient population. SGLT2 inhibitors use is not approved for patients age less than 18. However, one SGLT2 inhibitor in particular, Canagliflozin, is currently in trial in children age 10–17 with type 2 diabetes (NCT03170518).
In addition to medical pharmacologic treatments of obesity, psychologic/psychiatric therapies should be considered both pre- and post-transplant, as obesity is associated with an increased risk of depression (46). This is particularly important during adolescence and the effect is amplified in female patients vs. males (47). Depression leads to decreased medication adherence and increased risk of graft rejection and failure (48). Depression in turn is also associated with an increased risk of obesity, thus creating a vicious cycle (49). The development of depression and psychological comorbidities may be exacerbated by the fact that obese patients are often bullied in childhood and under stigmatization by their peers (27). In conclusion, identifying psychologic problems that can be contributing to obesity, such as depression, may ultimately allow patients to receive treatment and to set them up for success in both the pre- and post-transplant periods.
Regardless of what type of therapy is initiated, ABOM stresses that obesity is a chronic disease and patients should be counseled regarding the need for lifetime treatment. The focus of providers should be managing instead of simply trying to “cure” obesity (32).
5 Surgical therapy
For patients suffering from obesity who have not succeeded with dietary and lifestyle interventions and medical management, bariatric surgery can be considered. The two procedures that are most commonly used are laparoscopic sleeve gastrectomy and laparoscopic Roux-en-Y gastric bypass. The most optimal timing (pre- or post-transplantation) is still controversial, but bariatric surgeons tend to prefer pre-transplant rather than post-transplant surgery (50).
The AAP Policy Statement from 2019 stated that children meeting BMI cutoff of greater than 40 kg/m2 or 140% of the 95th percentile are unlikely to benefit from lifestyle modification or pharmacotherapy alone, and therefore should be considered for bariatric surgery (51). A similar recommendation was made for children with a BMI greater than 35 kg/m2 or 120% of the 95th percentile with an obesity-related comorbidity. Contraindications to bariatric surgery include substance abuse, pregnancy, untreated mental illness or an untreated underlying medical cause of obesity. Patients with developmental delay and autism spectrum disorder can be considered for bariatric surgery (31).
Pre-transplant sleeve gastrectomy has been shown to increase access to the transplant waitlist (52). Patients can achieve approximately 60%–80% excess body weight loss within 18–24 months (50). Bariatric surgery may improve renal function in patients with CKD who are pre-dialysis, and has also been shown to decrease post-transplant graft failure and mortality, as well as decrease need for antihypertensive medications and insulin in patients suffering from diabetes (17). However, it is important that in addition to the surgical treatment, patients receive care and support of a multidisciplinary team including a psychologist and/or psychiatrist, nutritionist, bariatric surgeon, and nephrologist (17).
6 Conclusions
The first step towards optimizing the selection process for kidney transplantation for pediatric patients suffering from obesity should consist of establishing better criteria. Relying simply on BMI no longer seems to be the most accurate method to assess excess adiposity and therefore we might need to include other assessment tools, such as bioelectrical impedance analysis, dual-energy x-ray absorptiometry or hydrostatic weighing. An individualized approach that would include the patient and the immediate family should be applied. Lifestyle modification, medical therapy and if necessary, psychological/psychiatric and surgical therapy, should be used on a case-by-case basis. We recommend, based on review of the evidence, that obesity be assessed and addressed pre-transplant by a multidisciplinary team including but not limited to a psychologist and/or psychiatrist, nutritionist, nephrologist and bariatric surgeon. This approach can position pediatric kidney transplant candidates suffering from obesity to have the best access to transplantation, as well as the best prognosis after transplant.
Author contributions
KA: Writing – original draft, Writing – review & editing. CN: Supervision, Writing – original draft, Writing – review & editing.
Funding
The authors declare that no financial support was received for the research, authorship, and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
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References
1. Jebeile H, Kelly AS, O’Malley G, Baur LA. Obesity in children and adolescents: epidemiology, causes, assessment, and management. Lancet Diabetes Endocrinol. (2022) 10(5):351–65. doi: 10.1016/S2213-8587(22)00047-X
2. Fryar CD, Carroll MD, Afful J. Prevalence of overweight, obesity, and severe obesity among children and adolescents aged 2–19 years: United States, 1963–1965 through 2017–2018. NCHS Health E-Stats, Centers for Disease Control and Prevention (2020).
3. Brown CL, Perrin EM. Obesity prevention and treatment in primary care. Acad Pediatr. (2018) 18(7):736–45. doi: 10.1016/j.acap.2018.05.004
4. Bonthuis M, van Stralen KJ, Verrina E, Groothoff JW, Alonso Melgar Á, Edefonti A, et al. Underweight, overweight and obesity in paediatric dialysis and renal transplant patients. Nephrol Dial Transplant. (2013) 28(Suppl 4):iv195–204. doi: 10.1093/ndt/gft259
5. Wilson AC, Schneider MF, Cox C, Greenbaum LA, Saland J, White CT, et al. Prevalence and correlates of multiple cardiovascular risk factors in children with chronic kidney disease. Clin J Am Soc Nephrol. (2011) 6(12):2759–65. doi: 10.2215/CJN.03010311
6. Yim HE, Yoo KH. Obesity and chronic kidney disease: prevalence, mechanism, and management. Clin Exp Pediatr. (2021) 64(10):511–8. doi: 10.3345/cep.2021.00108
7. Chadban SJ, Ahn C, Axelrod DA, Foster BJ, Kasiske BL, Kher V, et al. KDIGO clinical practice guideline on the evaluation and management of candidates for kidney transplantation. Transplantation. (2020) 104(4S1 Suppl 1):S11–s103. doi: 10.1097/TP.0000000000003136
8. Pondrom S. The AJT report: news and issues that affect organ and tissue transplantation. Am J Transplant. (2012) 12(7):1663–4. doi: 10.1111/j.1600-6143.2012.04186.x
9. Glicklich D, Mustafa MR. Obesity in kidney transplantation: impact on transplant candidates, recipients, and donors. Cardiol Rev. (2019) 27(2):63–72. doi: 10.1097/CRD.0000000000000216
10. Cohen E, Korah M, Callender G, de Aguiar RB, Haakinson D. Metabolic disorders with kidney transplant. Clin J Am Soc Nephrol. (2020) 15(5):732–42. doi: 10.2215/CJN.09310819
11. Lesage J, Gill JS. Management of the obese kidney transplant candidate. Transplant Rev. (2017) 31(1):35–41. doi: 10.1016/j.trre.2016.12.002
12. Scheuermann U, Babel J, Pietsch UC, Weimann A, Lyros O, Semmling K, et al. Recipient obesity as a risk factor in kidney transplantation. BMC Nephrol. (2022) 23(1):37. doi: 10.1186/s12882-022-02668-z
13. Sgambat K, Clauss S, Lei KY, Song J, Rahaman SO, Lasota M, et al. Effects of obesity and metabolic syndrome on cardiovascular outcomes in pediatric kidney transplant recipients: a longitudinal study. Pediatr Nephrol. (2018) 33(8):1419–28. doi: 10.1007/s00467-017-3860-8
14. Armstrong KA, Campbell SB, Hawley CM, Nicol DL, Johnson DW, Isbel NM. Obesity is associated with worsening cardiovascular risk factor profiles and proteinuria progression in renal transplant recipients. Am J Transplant. (2005) 5(11):2710–8. doi: 10.1111/j.1600-6143.2005.01073.x
15. Abdelrahman SM, Samir B, Alazem EAA, Musa N. Effect of pre and post-transplant body mass index on pediatric kidney transplant outcomes. BMC Pediatr. (2022) 22(1):299. doi: 10.1186/s12887-022-03344-9
16. Lentine KL, Delos Santos R, Axelrod D, Schnitzler MA, Brennan DC, Tuttle-Newhall JE. Obesity and kidney transplant candidates: how big is too big for transplantation? Am J Nephrol. (2012) 36(6):575–86. doi: 10.1159/000345476
17. Kienzl-Wagner K, Weissenbacher A, Gehwolf P, Wykypiel H, Öfner D, Schneeberger S. Laparoscopic sleeve gastrectomy: gateway to kidney transplantation. Surg Obes Relat Dis. (2017) 13(6):909–15. doi: 10.1016/j.soard.2017.01.005
18. Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Gómez JM, et al. Bioelectrical impedance analysis–part I: review of principles and methods. Clin Nutr. (2004) 23(5):1226–43. doi: 10.1016/j.clnu.2004.06.004
19. Ward LC. Bioelectrical impedance analysis for body composition assessment: reflections on accuracy, clinical utility, and standardisation. Eur J Clin Nutr. (2019) 73(2):194–9. doi: 10.1038/s41430-018-0335-3
20. McLester CN, Nickerson BS, Kliszczewicz BM, McLester JR. Reliability and agreement of various InBody body composition analyzers as compared to dual-energy x-ray absorptiometry in healthy men and women. J Clin Densitom. (2020) 23(3):443–50. doi: 10.1016/j.jocd.2018.10.008
21. Khan S, Xanthakos SA, Hornung L, Arce-Clachar C, Siegel R, Kalkwarf HJ. Relative accuracy of bioelectrical impedance analysis for assessing body composition in children with severe obesity. J Pediatr Gastroenterol Nutr. (2020) 70(6):e129–e35. doi: 10.1097/MPG.0000000000002666
22. Sopher AB, Thornton JC, Wang J, Pierson RN Jr, Heymsfield SB, Horlick M. Measurement of percentage of body fat in 411 children and adolescents: a comparison of dual-energy x-ray absorptiometry with a four-compartment model. Pediatrics. (2004) 113(5):1285–90. doi: 10.1542/peds.113.5.1285
23. Kendler DL, Borges JL, Fielding RA, Itabashi A, Krueger D, Mulligan K, et al. The official positions of the international society for clinical densitometry: indications of use and reporting of DXA for body composition. J Clin Densitom. (2013) 16(4):496–507. doi: 10.1016/j.jocd.2013.08.020
24. Fields DA, Hunter GR, Goran MI. Validation of the BOD POD with hydrostatic weighing: influence of body clothing. Int J Obes Relat Metab Disord. (2000) 24(2):200–5. doi: 10.1038/sj.ijo.0801113
25. Tesch JC, Papadopoulos P, Dolgener F, Tinsley GM. New equations for hydrostatic weighing without head submersion. J Funct Morphol Kinesiol. (2022) 7(3):1–6. doi: 10.3390/jfmk7030070
26. Streja E, Molnar MZ, Kovesdy CP, Bunnapradist S, Jing J, Nissenson AR, et al. Associations of pretransplant weight and muscle mass with mortality in renal transplant recipients. Clin J Am Soc Nephrol. (2011) 6(6):1463–73. doi: 10.2215/CJN.09131010
27. Taylor VH, Forhan M, Vigod SN, McIntyre RS, Morrison KM. The impact of obesity on quality of life. Best Pract Res Clin Endocrinol Metab. (2013) 27(2):139–46. doi: 10.1016/j.beem.2013.04.004
28. Puhl RM. Weight stigma and barriers to effective obesity care. Gastroenterol Clin North Am. (2023) 52(2):417–28. doi: 10.1016/j.gtc.2023.02.002
29. Segev DL, Simpkins CE, Thompson RE, Locke JE, Warren DS, Montgomery RA. Obesity impacts access to kidney transplantation. J Am Soc Nephrol. (2008) 19(2):349–55. doi: 10.1681/ASN.2007050610
30. Gill JS, Hendren E, Dong J, Johnston O, Gill J. Differential association of body mass index with access to kidney transplantation in men and women. Clin J Am Soc Nephrol. (2014) 9(5):951–9. doi: 10.2215/CJN.08310813
31. Steinhart A, Tsao D, Pratt JSA. Pediatric metabolic and bariatric surgery. Surg Clin North Am. (2021) 101(2):199–212. doi: 10.1016/j.suc.2020.12.007
32. Cuda SE, Censani M. Pediatric obesity algorithm: a practical approach to obesity diagnosis and management. Front Pediatr. (2018) 6:431. doi: 10.3389/fped.2018.00431
33. Kirk S, Ogata B, Wichert E, Handu D, Rozga M. Treatment of pediatric overweight and obesity: position of the academy of nutrition and dietetics based on an umbrella review of systematic reviews. J Acad Nutr Diet. (2022) 122(4):848–61. doi: 10.1016/j.jand.2022.01.008
34. Fleming MA, Kane WJ, Meneveau MO, Ballantyne CC, Levin DE. Food insecurity and obesity in US adolescents: a population-based analysis. Child Obes. (2021) 17(2):110–5. doi: 10.1089/chi.2020.0158
35. Tester JM, Xiao L, Tinajero-Deck L, Juarez L, Rosas LG. Food insecurity influences weight trajectory in children with obesity. Child Obes. (2022) 18(7):437–44. doi: 10.1089/chi.2021.0311
36. Te Vazquez J, Feng SN, Orr CJ, Berkowitz SA. Food insecurity and cardiometabolic conditions: a review of recent research. Curr Nutr Rep. (2021) 10(4):243–54. doi: 10.1007/s13668-021-00364-2
37. Carullo N, Zicarelli M, Michael A, Faga T, Battaglia Y, Pisani A, et al. Childhood obesity: insight into kidney involvement. Int J Mol Sci. (2023) 24(24):1–27. doi: 10.3390/ijms242417400
38. Jerome GJ, Fink T, Brady T, Young DR, Dickerson FB, Goldsholl S, et al. Physical activity levels and screen time among youth with overweight/obesity using mental health services. Int J Environ Res Public Health. (2022) 19(4):1–9. doi: 10.3390/ijerph19042261
39. Bravata DM, Smith-Spangler C, Sundaram V, Gienger AL, Lin N, Lewis R, et al. Using pedometers to increase physical activity and improve health: a systematic review. JAMA. (2007) 298(19):2296–304. doi: 10.1001/jama.298.19.2296
40. Staiano AE, Beyl RA, Hsia DS, Jarrell AR, Katzmarzyk PT, Mantzor S, et al. Step tracking with goals increases children’s weight loss in behavioral intervention. Child Obes. (2017) 13(4):283–90. doi: 10.1089/chi.2017.0047
41. Stabouli S, Polderman N, Nelms CL, Paglialonga F, Oosterveld MJS, Greenbaum LA, et al. Assessment and management of obesity and metabolic syndrome in children with CKD stages 2–5 on dialysis and after kidney transplantation-clinical practice recommendations from the pediatric renal nutrition taskforce. Pediatr Nephrol. (2022) 37(1):1–20. doi: 10.1007/s00467-021-05148-y
42. Srivastava G, Fox CK, Kelly AS, Jastreboff AM, Browne AF, Browne NT, et al. Clinical considerations regarding the use of obesity pharmacotherapy in adolescents with obesity. Obesity (Silver Spring). (2019) 27(2):190–204. doi: 10.1002/oby.22385
43. Chadda KR, Cheng TS, Ong KK. GLP-1 agonists for obesity and type 2 diabetes in children: systematic review and meta-analysis. Obes Rev. (2021) 22(6):e13177. doi: 10.1111/obr.13177
44. Lam-Chung CE. Comprehensive review of SGLT2 inhibitors’ efficacy through their diuretic mode of action in diabetic patients. Front Endocrinol. (2023) 14:1174692. doi: 10.3389/fendo.2023.1174692
45. Cai X, Ji L, Chen Y, Yang W, Zhou L, Han X, et al. Comparisons of weight changes between sodium-glucose cotransporter 2 inhibitors treatment and glucagon-like peptide-1 analogs treatment in type 2 diabetes patients: a meta-analysis. J Diabetes Investig. (2017) 8(4):510–7. doi: 10.1111/jdi.12625
46. Rao WW, Zong QQ, Zhang JW, An FR, Jackson T, Ungvari GS, et al. Obesity increases the risk of depression in children and adolescents: results from a systematic review and meta-analysis. J Affect Disord. (2020) 267:78–85. doi: 10.1016/j.jad.2020.01.154
47. Quek YH, Tam WWS, Zhang MWB, Ho RCM. Exploring the association between childhood and adolescent obesity and depression: a meta-analysis. Obes Rev. (2017) 18(7):742–54. doi: 10.1111/obr.12535
48. Dew MA, Rosenberger EM, Myaskovsky L, DiMartini AF, DeVito Dabbs AJ, Posluszny DM, et al. Depression and anxiety as risk factors for morbidity and mortality after organ transplantation: a systematic review and meta-analysis. Transplantation. (2015) 100(5):988–1003. doi: 10.1097/TP.0000000000000901
49. Jantaratnotai N, Mosikanon K, Lee Y, McIntyre RS. The interface of depression and obesity. Obes Res Clin Pract. (2017) 11(1):1–10. doi: 10.1016/j.orcp.2016.07.003
50. Diwan TS, Lee TC, Nagai S, Benedetti E, Posselt A, Bumgardner G, et al. Obesity, transplantation, and bariatric surgery: an evolving solution for a growing epidemic. Am J Transplant. (2020) 20(8):2143–55. doi: 10.1111/ajt.15784
51. Armstrong SC, Bolling CF, Michalsky MP, Reichard KW. Pediatric metabolic and bariatric surgery: evidence, barriers, and best practices. Pediatrics. (2019) 144(6). doi: 10.1542/peds.2019-3223
Keywords: kidney, transplantation, children, obesity, adolescence
Citation: Altemose KE and Nailescu C (2024) Management of pediatric obesity as a pathway towards kidney transplantation. Front. Pediatr. 12:1367520. doi: 10.3389/fped.2024.1367520
Received: 8 January 2024; Accepted: 5 February 2024;
Published: 15 February 2024.
Edited by:
Amy Bobrowski, Cleveland Clinic Children’s Hospital, United StatesReviewed by:
Debora Matossian, Ann & Robert H. Lurie Children’s Hospital of Chicago, United States© 2024 Altemose and Nailescu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: C. Nailescu Y25haWxlc2NAaXUuZWR1
Abbreviations CKD, chronic kidney disease; ESRD, end-stage renal disease; RRT, renal replacement therapy; BMI, body mass index; AAP, American academy of pediatrics; UNOS, united network for organ sharing; AST, American society of transplantation; BIA, bioelectrical impedance analysis; DXA, dual-energy x-ray absorptiometry; HW, hydrostatic weighing; ABOM, American board of obesity medicine; RD, registered dietician; FDA, food and drug administration; GLP-1, glucagon-like peptide 1; SGLT2, sodium glucose coTransporter 2.