The spectrum of kidney function alterations in adolescents with a solitary functioning kidney.


Journal

Pediatric nephrology (Berlin, Germany)
ISSN: 1432-198X
Titre abrégé: Pediatr Nephrol
Pays: Germany
ID NLM: 8708728

Informations de publication

Date de publication:
10 2021
Historique:
received: 22 12 2020
accepted: 25 03 2021
revised: 10 03 2021
pubmed: 26 4 2021
medline: 11 3 2022
entrez: 25 4 2021
Statut: ppublish

Résumé

A precise assessment of glomerular filtration rate is key to delineate the care of children with a solitary functioning kidney (SFK). Data regarding measured GFR (mGFR) in this population is restricted to a single study of 77 individuals, which suggested that a GFR estimation (eGFR) method based on creatinine and cystatin C (eGFR-CKiD2) performed better than Schwartz's equation (eGFR-Schwartz). We measured GFR in 210 consecutive adolescents (7 to 22 years old) with an SFK referred to our institution between 2014 and 2019 and in 43 young candidates for kidney donation (18 to 25 years old). We compared the distribution of mGFR in both groups and determined the factors associated with reduced mGFR in adolescents with an SFK. We further compared different eGFR formulas with mGFR and assessed the association of mGFR and eGFRs with PTH and FGF23, two early indicators of GFR reduction. While adolescents with an SFK had a similar median mGFR to healthy controls (103 ± 24ml/min/1.73m SFK is not a benign condition, since 20% of the patients display altered kidney function. Our results raise caution regarding the use of the cystatin-based equation. mGFR shows a better ability than eGFR-Schwartz to differentiate patients showing early homeostatic adaptation to GFR reduction.

Sections du résumé

BACKGROUND
A precise assessment of glomerular filtration rate is key to delineate the care of children with a solitary functioning kidney (SFK). Data regarding measured GFR (mGFR) in this population is restricted to a single study of 77 individuals, which suggested that a GFR estimation (eGFR) method based on creatinine and cystatin C (eGFR-CKiD2) performed better than Schwartz's equation (eGFR-Schwartz).
METHODS
We measured GFR in 210 consecutive adolescents (7 to 22 years old) with an SFK referred to our institution between 2014 and 2019 and in 43 young candidates for kidney donation (18 to 25 years old). We compared the distribution of mGFR in both groups and determined the factors associated with reduced mGFR in adolescents with an SFK. We further compared different eGFR formulas with mGFR and assessed the association of mGFR and eGFRs with PTH and FGF23, two early indicators of GFR reduction.
RESULTS
While adolescents with an SFK had a similar median mGFR to healthy controls (103 ± 24ml/min/1.73m
CONCLUSION
SFK is not a benign condition, since 20% of the patients display altered kidney function. Our results raise caution regarding the use of the cystatin-based equation. mGFR shows a better ability than eGFR-Schwartz to differentiate patients showing early homeostatic adaptation to GFR reduction.

Identifiants

pubmed: 33895898
doi: 10.1007/s00467-021-05074-z
pii: 10.1007/s00467-021-05074-z
doi:

Substances chimiques

Creatinine AYI8EX34EU
ErbB Receptors EC 2.7.10.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3159-3168

Informations de copyright

© 2021. IPNA.

Références

Cochat P, Febvey O, Bacchetta J, Bérard E et al (2018) Towards adulthood with a solitary kidney. Pediatr Nephrol 34:2311–2323. https://doi.org/10.1007/s00467-018-4085-1
Pillebout E, Burtin M, Yuan HT, Briand P et al (2001) Proliferation and remodeling of the peritubular microcirculation after nephron reduction: association with the progression of renal lesions. Am J Pathol 159:547–560. https://doi.org/10.1016/S0002-9440(10)61726-9
Schreuder MF, Westland R, van Wijk JAE (2009) Unilateral multicystic dysplastic kidney: a meta-analysis of observational studies on the incidence, associated urinary tract malformations and the contralateral kidney. Nephrol Dial Transplant 24:1810–1818. https://doi.org/10.1093/ndt/gfn777
doi: 10.1093/ndt/gfn777 pubmed: 19171687
Sanna-Cherchi S, Ravani P, Corbani V, Parodi S et al (2009) Renal outcome in patients with congenital anomalies of the kidney and urinary tract. Kidney Int 76:528–533. https://doi.org/10.1038/ki.2009.220
Marzuillo P, Guarino S, Di Sessa A, Rambaldi PF et al (2020) Congenital solitary kidney from birth to adulthood. J Urol. https://doi.org/10.1097/JU.0000000000001524
Wasilewska A, Zoch-Zwierz W, Taranta-Janusz K (2009) Urinary transforming growth factor beta1 in children and adolescents with congenital solitary kidney. Pediatr Nephrol 24:753–759. https://doi.org/10.1007/s00467-008-1045-1
doi: 10.1007/s00467-008-1045-1 pubmed: 19048302
Schwartz GJ, Muñoz A, Schneider MF, Mak RH et al (2009) New equations to estimate GFR in children with CKD. J Am Soc Nephrol 20:629–637. https://doi.org/10.1681/ASN.2008030287
Grubb A, Blirup-Jensen S, Lindström V, Schmidt C et al (2010) First certified reference material for cystatin C in human serum ERM-DA471/IFCC. Clin Chem Lab Med 48:1619–1621. https://doi.org/10.1515/CCLM.2010.318
Myers GL, Miller WG, Coresh J, Fleming J et al (2006) Recommendations for improving serum creatinine measurement: a report from the Laboratory Working Group of the National Kidney Disease Education Program. Clin Chem 52:5–18. https://doi.org/10.1373/clinchem.2005.0525144
Finney H, Newman DJ, Gruber W, Merle P, Price CP (1997) Initial evaluation of cystatin C measurement by particle-enhanced immunonephelometry on the Behring nephelometer systems (BNA, BN II). Clin Chem 43:1016–1022
doi: 10.1093/clinchem/43.6.1016
Westland R, Abraham Y, Bökenkamp A, Stoffel-Wagner B et al (2013) Precision of estimating equations for GFR in children with a solitary functioning kidney: the KIMONO study. Clin J Am Soc Nephrol 8:764–772. https://doi.org/10.2215/CJN.07870812
Stevens LA, Levey AS (2009) Measured GFR as a confirmatory test for estimated GFR. J Am Soc Nephrol 20:2305–2313. https://doi.org/10.1681/ASN.2009020171
doi: 10.1681/ASN.2009020171 pubmed: 19833901
Garcelon N, Neuraz A, Salomon R, Faour H et al (2018) A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse. J Biomed Inform 80:52–63. https://doi.org/10.1016/j.jbi.2018.02.019
Scherdel P, Dunkel L, van Dommelen P, Goulet O et al (2016) Growth monitoring as an early detection tool: a systematic review. Lancet Diabetes Endocrinol 4:447–456. https://doi.org/10.1016/S2213-8587(15)00392-7
Flynn JT, Kaelber DC, Baker-Smith CM, Blowey D et al (2017) Clinical practice guideline for screening and management of high blood pressure in Children and Adolescents. Pediatr 140:e20173035. https://doi.org/10.1542/peds.2017-1904
Dinkel E, Ertel M, Dittrich M, Peters H et al (1985) Kidney size in childhood. Sonographical growth charts for kidney length and volume. Pediatr Radiol 15:38–43. https://doi.org/10.1007/bf02387851
Gaillard F, Courbebaisse M, Kamar N, Rostaing L et al (2019) Impact of estimation versus direct measurement of predonation glomerular filtration rate on the eligibility of potential living kidney donors. Kidney Int 95:896–904. https://doi.org/10.1016/j.kint.2018.11.029
Schwartz GJ, Abraham A, Furth SL, Warady BA, Muñoz A (2010) Optimizing duration and sampling times for iohexol plasma disappearance curves to measure glomerular filtration rate in children with chronic kidney disease. Kidney Int 77:65–71. https://doi.org/10.1038/ki.2009.398
doi: 10.1038/ki.2009.398 pubmed: 19847157 pmcid: 2953273
Counahan R, Chantler C, Ghazali S, Kirkwood B et al (1976) Estimation of glomerular filtration rate from plasma creatinine concentration in children. Arch Dis Child 51:875–878. https://doi.org/10.1136/adc.51.11.875
Webster-Clark M, Jaeger B, Zhong Y, Filler G et al (2018) Low agreement between modified-Schwartz and CKD-EPI eGFR in young adults: a retrospective longitudinal cohort study. BMC Nephrol 19:194. https://doi.org/10.1186/s12882-018-0995-1
Selistre L, Rabilloud M, Cochat P, de Souza V et al (2016) Comparison of the Schwartz and CKD-EPI equations for estimating glomerular filtration rate in children, adolescents, and adults: a retrospective cross-sectional study. PLoS Med 13:e1001979. https://doi.org/10.1371/journal.pmed.1001979
De Souza VC, Rabilloud M, Cochat P, Selistre L et al (2012) Schwartz formula: is one k-coefficient adequate for all children? PLoS One 7:e53439. https://doi.org/10.1371/journal.pone.0053439
Hoste L, Dubourg L, Selistre L, De Souza VC et al (2014) A new equation to estimate the glomerular filtration rate in children, adolescents and young adults. Nephrol Dial Transplant 29:1082–1091. https://doi.org/10.1093/ndt/gft277
Björk J, Nyman U, Delanaye P, Grubb A et al (2020) A novel method for creatinine adjustment makes the revised Lund-Malmö GFR estimating equation applicable in children. Scand J Clin Lab Invest:1–8. https://doi.org/10.1080/00365513.2020.1774641
Björk J, Grubb A, Sterner G, Nyman U (2011) Revised equations for estimating glomerular filtration rate based on the Lund-Malmö Study cohort. Scand J Clin Lab Invest 71:232–239. https://doi.org/10.3109/00365513.2011.557086
doi: 10.3109/00365513.2011.557086 pubmed: 21391777
Zappitelli M, Parvex P, Joseph L, Paradis G et al (2006) Derivation and validation of cystatin C-based prediction equations for GFR in children. Am J Kidney Dis 48:221–230. https://doi.org/10.1053/j.ajkd.2006.04.085
Grubb A, Nyman U, Björk J, Lindström V et al (2005) Simple cystatin C-based prediction equations for glomerular filtration rate compared with the modification of diet in renal disease prediction equation for adults and the Schwartz and the Counahan-Barratt prediction equations for children. Clin Chem 51:1420–1431. https://doi.org/10.1373/clinchem.2005.051557
Schwartz GJ, Schneider MF, Maier PS, Moxey-Mims M et al (2012) Improved equations estimating GFR in children with chronic kidney disease using an immunonephelometric determination of cystatin C. Kidney Int 82:445–453. https://doi.org/10.1038/ki.2012.169
Ng DK, Schwartz GJ, Schneider MF, Furth SL, Warady BA (2018) Combination of pediatric and adult formulas yield valid glomerular filtration rate estimates in young adults with a history of pediatric chronic kidney disease. Kidney Int 94:170–177. https://doi.org/10.1016/j.kint.2018.01.034
doi: 10.1016/j.kint.2018.01.034 pubmed: 29735307 pmcid: 6015546
Grams ME, Garg AX, Lentine KL (2016) Kidney-failure risk projection for the living kidney-donor candidate. N Engl J Med 374:2094–2095. https://doi.org/10.1056/NEJMc1603007
doi: 10.1056/NEJMc1603007 pubmed: 27223153
Poggio ED, Rule AD, Tanchanco R, Arrigain S et al (2009) Demographic and clinical characteristics associated with glomerular filtration rates in living kidney donors. Kidney Int 75:1079–1087. https://doi.org/10.1038/ki.2009.11
Isakova T, Wahl P, Vargas GS, Gutiérrez OM et al (2011) Fibroblast growth factor 23 is elevated before parathyroid hormone and phosphate in chronic kidney disease. Kidney Int 79:1370–1378. https://doi.org/10.1038/ki.2011.47
Prié D, Ureña Torres P, Friedlander G (2009) Latest findings in phosphate homeostasis. Kidney Int 75:882–889. https://doi.org/10.1038/ki.2008.643
doi: 10.1038/ki.2008.643 pubmed: 19190675
Westland R, Kurvers RAJ, van Wijk JAE, Schreuder MF (2013) Risk factors for renal injury in children with a solitary functioning kidney. Pediatr 131:e478–e485. https://doi.org/10.1542/peds.2012-2088
doi: 10.1542/peds.2012-2088
de Lucas C, Nocea A, San RJ, Espínola B et al (2006) Solitary kidney. Study of renal morphology and function in 95 children. Nefrologia 26:56–63
Pottel H (2017) Measuring and estimating glomerular filtration rate in children. Pediatr Nephrol 32:249–263. https://doi.org/10.1007/s00467-016-3373-x
doi: 10.1007/s00467-016-3373-x pubmed: 27115887
Abou Jaoudé P, Dubourg L, Bacchetta J, Berthiller J et al (2011) Congenital versus acquired solitary kidney: is the difference relevant? Nephrol Dial Transplant 26:2188–2194. https://doi.org/10.1093/ndt/gfq659
Bargnoux AS, Piéroni L, Cristol JP, Kuster N et al (2017) Multicenter evaluation of cystatin c measurement after assay standardization. Clin Chem 63:833–841. https://doi.org/10.1373/clinchem.2016.264325

Auteurs

Mathilde Grapin (M)

Service de Néphrologie Pédiatrique, Centre de référence Marhea, Hôpital Necker-Enfants malades, Assistance Publique-Hôpitaux de Paris, Paris, France.
Université de Paris, Institut Necker-Enfants Malades Inserm U1151, Paris, France.
Sorbonne Université, Paris, France.

François Gaillard (F)

Service de Néphrologie, Hôpital Bichat, Assistance Publique-Hôpitaux de Paris, Paris, France.

Nathalie Biebuyck (N)

Service de Néphrologie Pédiatrique, Centre de référence Marhea, Hôpital Necker-Enfants malades, Assistance Publique-Hôpitaux de Paris, Paris, France.

Melissa Ould-Rabah (M)

Service de Physiologie, Hôpital Necker-Enfants malades, Assistance Publique-Hôpitaux de Paris, Paris, France.

Carole Hennequin (C)

Service de Biochimie, Hôpital Necker-Enfants malades, Assistance Publique-Hôpitaux de Paris, Paris, France.

Romain Berthaud (R)

Service de Néphrologie Pédiatrique, Centre de référence Marhea, Hôpital Necker-Enfants malades, Assistance Publique-Hôpitaux de Paris, Paris, France.
Institut Imagine, Inserm U1163, Université de Paris, Paris, France.

Guillaume Dorval (G)

Service de Néphrologie Pédiatrique, Centre de référence Marhea, Hôpital Necker-Enfants malades, Assistance Publique-Hôpitaux de Paris, Paris, France.
Institut Imagine, Inserm U1163, Université de Paris, Paris, France.

Thomas Blanc (T)

Université de Paris, Institut Necker-Enfants Malades Inserm U1151, Paris, France.
Service de Chirurgie Pédiatrie, Hôpital Necker-Enfants malades, Assistance Publique-Hôpitaux de Paris, Paris, France.

Maryvonne Hourmant (M)

Service de Transplantation Rénale, CHU Nantes, Nantes, France.

Nassim Kamar (N)

Service de Néphrologie et de Transplantation, CHU Rangueil, Toulouse, France.

Lionel Rostaing (L)

Service de Néphrologie, Hémodialyse, Aphérèses et Transplantation, Centre Hospitalier Universitaire Grenoble-Alpes, Grenoble, France.

Lionel Couzi (L)

Service de Néphrologie, Transplantation, Dialyse et Aphérèse, CHU de Bordeaux, Bordeaux, France.

Nicolas Garcelon (N)

Institut Imagine, Inserm U1163, Université de Paris, Paris, France.

Dominique Prié (D)

Université de Paris, Institut Necker-Enfants Malades Inserm U1151, Paris, France.
Service de Physiologie, Hôpital Necker-Enfants malades, Assistance Publique-Hôpitaux de Paris, Paris, France.

Olivia Boyer (O)

Service de Néphrologie Pédiatrique, Centre de référence Marhea, Hôpital Necker-Enfants malades, Assistance Publique-Hôpitaux de Paris, Paris, France.
Institut Imagine, Inserm U1163, Université de Paris, Paris, France.

Frank Bienaimé (F)

Université de Paris, Institut Necker-Enfants Malades Inserm U1151, Paris, France. frank.bienaime@inserm.fr.
Service de Physiologie, Hôpital Necker-Enfants malades, Assistance Publique-Hôpitaux de Paris, Paris, France. frank.bienaime@inserm.fr.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH