多米诺注册研究：巴西儿童慢性肾脏病矿物质和骨疾病（DOença MINeral e Óssea）的研究方案
DOMINÓ Registry: study protocol on mineral and bone disease (DOença MINeral e Óssea) of chronic kidney disease in pediatrics in Brazil.
作者信息
Soeiro Emília Maria Dantas, Penido Maria Goretti Moreira Guimarães, Sylvestre Lucimary de Castro, Andrade Maria Cristina, Alcantara Suzana Aparecida Greggi de, Machado Ivan Coelho, Bedram Leonardo Gonçalves, Abreu Ana Lucia Santos
机构信息
Universidade Federal de Pernambuco, Recife, PE, Brazil.
Faculdade Pernambucana de Saúde, Recife, PE, Brazil.
出版信息
J Bras Nefrol. 2025 Jan-Mar;47(1):e20240054. doi: 10.1590/2175-8239-JBN-2024-0054en.
INTRODUCTION
Pediatric patients with chronic kidney disease (CKD) develop mineral and bone disorders (MBD). We do not have Brazilian data that evaluate these outcomes, which can be obtained through epidemiological records.
OBJECTIVE
To present the DOMINÓ study, which aims to describe CKD-MBD characteristics in Brazilian pediatric patients.
METHODS
Retrospective and prospective, multicenter, observational cohort. The retrospective study will analyze data from prevalent patients in 2024, and the prospective study will analyze data from 2025 onwards. Demographic, clinical, laboratory, imaging, and bone biopsy data will be collected from pediatric patients with CKD-MBD < 18 years old with CKD stage 3-5D and kidney transplant recipients. The Ethics Committees of the participating centers approved the study.
DISCUSSION/CONCLUSION: The DOMINÓ study will provide information on the incidence, prevalence, morbidity, treatment results, and mortality of this pediatric disease in Brazil. Future analyses will allow us to identify predictors of response to treatment and improve the care for these patients.
引言
患有慢性肾脏病（CKD）的儿科患者会出现矿物质和骨代谢紊乱（MBD）。我们没有巴西评估这些结果的数据，而这些数据可通过流行病学记录获得。
目的
介绍DOMINÓ研究，该研究旨在描述巴西儿科患者慢性肾脏病-矿物质和骨代谢紊乱（CKD-MBD）的特征。
方法
回顾性和前瞻性、多中心观察性队列研究。回顾性研究将分析2024年现患患者的数据，前瞻性研究将分析2025年及以后的数据。将从年龄小于18岁、CKD分期为3-5D期的CKD-MBD儿科患者以及肾移植受者中收集人口统计学、临床、实验室、影像学和骨活检数据。参与中心的伦理委员会批准了该研究。
讨论/结论：DOMINÓ研究将提供有关巴西这种儿科疾病的发病率、患病率、发病率、治疗结果和死亡率的信息。未来的分析将使我们能够确定治疗反应的预测因素，并改善对这些患者的护理。
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