Cerqueira Debora C, Soares Cristina M, Silva Vanessa R, Magalhães Juliana O, Barcelos Isabella P, Duarte Mariana G, Pinheiro Sergio V, Colosimo Enrico A, Simões e Silva Ana Cristina, Oliveira Eduardo A
Department of Pediatrics, Pediatric Nephrourology Unit,, †Nutrition Division, and, ‡Department of Statistics, National Institute of Science and Technology of Molecular Medicine, Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Clin J Am Soc Nephrol. 2014 Apr;9(4):728-35. doi: 10.2215/CJN.06630613. Epub 2014 Jan 23.
The incidence of ESRD in children has increased over the last two decades. Nevertheless, there are still limited data on risk factors related to the emergence of ESRD among patients with CKD. The aim of this study was to develop a model of prediction of ESRD in children and adolescents with CKD (stages 2-4) enrolled in a predialysis interdisciplinary management program.
DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: In this retrospective cohort study, 147 patients with CKD admitted from 1990 to 2008 were systematically followed up at a tertiary pediatric nephrology unit for a median of about 4.5 years. The primary outcome was the progression to CKD stage 5. A predictive model was developed using Cox proportional hazards model and evaluated by c statistics.
The median renal survival was estimated at 98.7 months (95% confidence interval [95% CI], 68.7 to 129.6 months). The probability of reaching CKD stage 5 was estimated as 52% in 10 years. The most accurate model included eGFR, proteinuria at admission, and primary renal disease. Risk score ranged from 0 to 13 points (median, 4 points). The accuracy of the score applied to the sample was high, with c statistics of 0.865 (95% CI, 0.80 to 0.93) and 0.837 (95% CI, 0.76 to 0.91) at follow-up of 2 and 5 years, respectively. By survival analysis, it was estimated that at 10 years after admission, the probability of renal survival was about 63% for patients in the low-risk group and 43% for the medium-risk group; all patients assigned to the high-risk group had CKD stage 5 (P<0.001).
The predictive model of progression of CKD might contribute to early identification of a subgroup of patients at high risk for accelerated renal failure.
在过去二十年中,儿童终末期肾病(ESRD)的发病率有所上升。然而,关于慢性肾脏病(CKD)患者中与ESRD发生相关的危险因素的数据仍然有限。本研究的目的是建立一个针对参加透析前跨学科管理项目的CKD(2 - 4期)儿童和青少年ESRD的预测模型。
设计、地点、参与者及测量:在这项回顾性队列研究中,1990年至2008年收治的147例CKD患者在一家三级儿科肾脏病科接受了系统随访,中位随访时间约为4.5年。主要结局是进展至CKD 5期。使用Cox比例风险模型建立预测模型,并通过c统计量进行评估。
中位肾脏生存期估计为98.7个月(95%置信区间[95%CI],68.7至129.6个月)。估计10年内进展至CKD 5期的概率为52%。最准确的模型包括估算肾小球滤过率(eGFR)、入院时蛋白尿和原发性肾脏疾病。风险评分范围为0至13分(中位数为4分)。应用于该样本的评分准确性较高,在随访2年和5年时,c统计量分别为0.865(95%CI,0.80至0.93)和0.837(95%CI,0.76至0.91)。通过生存分析估计,入院后10年,低风险组患者肾脏存活的概率约为63%,中风险组为43%;所有被归为高风险组的患者均处于CKD 5期(P<0.001)。
CKD进展的预测模型可能有助于早期识别加速肾衰竭高风险患者亚组。