Prediction of Short- and Long-Term Outcomes in Childhood Nephrotic Syndrome.

child epidemiology nephrotic syndrome outcomes pediatric prognosis

Journal

Kidney international reports
ISSN: 2468-0249
Titre abrégé: Kidney Int Rep
Pays: United States
ID NLM: 101684752

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 05 02 2019
revised: 31 10 2019
accepted: 18 12 2019
entrez: 14 4 2020
pubmed: 14 4 2020
medline: 14 4 2020
Statut: epublish

Résumé

It is unknown whether steroid sensitivity and other putative risk factors collected at baseline can predict the disease course of idiopathic nephrotic syndrome in childhood. We determined whether demographic, clinical, and family reported factors at presentation can predict outcomes in idiopathic nephrotic syndrome. An observational cohort of 631 children aged 1 to 18 years diagnosed with idiopathic nephrotic syndrome between 1993 and 2016 were followed up until clinic discharge, 18 years of age, end-stage kidney disease (ESKD), or the last clinic visit. Baseline characteristics were age, sex, ethnicity, and initial steroid sensitivity. Of these, 287 (38%) children also reported any family history of kidney disease, preceding infection, microscopic hematuria, and history of asthma/allergies. The outcomes were complete remission after initial steroid course, need for a second-line agent, frequently relapsing disease, and long-term remission. The discriminatory power of the models was described using the c-statistic. Overall, 25.7% of children had no further disease after their initial steroid course. In addition, 31.2% developed frequently relapsing disease; however, 77.7% were disease-free at 18 years of age. Furthermore, 1% of children progressed to ESKD. Logistic regression modeling using the different baseline exposures did not significantly improve the prediction of outcomes relative to the observed frequencies (maximum c-statistic, 0.63; 95% confidence interval [CI], 0.59-0.67). The addition of steroid sensitivity did not improve outcome prediction of long-term outcomes (c-statistic, 0.63; 95% CI, 0.54-0.70). Demographic, clinical, and family reported characteristics, specifically steroid sensitivity, are not useful in predicting relapse rates or long-term remission in idiopathic nephrotic syndrome. Further studies are needed to address factors that contribute to long-term health.

Identifiants

pubmed: 32280840
doi: 10.1016/j.ekir.2019.12.015
pii: S2468-0249(19)31603-1
pmc: PMC7136435
doi:

Types de publication

Journal Article

Langues

eng

Pagination

426-434

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2020 International Society of Nephrology. Published by Elsevier Inc.

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Auteurs

Simon A Carter (SA)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.
The Children's Hospital at Westmead, Westmead, New South Wales, Australia.

Shilan Mistry (S)

Child Health Evaluative Sciences, Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada.
Genetics and Genome Biology, Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada.
Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Jessica Fitzpatrick (J)

Child Health Evaluative Sciences, Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada.

Tonny Banh (T)

Child Health Evaluative Sciences, Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada.

Diane Hebert (D)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Valerie Langlois (V)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Rachel J Pearl (RJ)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Department of Pediatrics, Brampton Civic Hospital, William Osler Health Services, Brampton, Ontario, Canada.
Pediatric Nephrology Clinic, Peel Memorial Centre for Integrated Health and Wellness, William Osler Health Services, Brampton, Ontario, Canada.

Rahul Chanchlani (R)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Division of Pediatric Nephrology, McMaster Children's Hospital, Hamilton, Ontario, Canada.

Christoph P B Licht (CPB)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Program in Cell Biology, Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada.

Seetha Radhakrishnan (S)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Josefina Brooke (J)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.

Michele Reddon (M)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.

Leo Levin (L)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Kimberly Aitken-Menezes (K)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.

Damien Noone (D)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Rulan S Parekh (RS)

Division of Nephrology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Child Health Evaluative Sciences, Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada.
Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Department of Pediatrics, Medicine, Faculty of Medicine, University of Toronto, Ontario, Canada.
Department of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Ontario, Canada.
Department of Health, Policy, Management and Evaluation, University of Toronto, Ontario, Canada.

Classifications MeSH