Relationships of Measured Iohexol GFR and Estimated GFR With CKD-Related Biomarkers in Children and Adolescents

被引:16
作者
Ng, Derek K. [1 ]
Schwartz, George J. [2 ]
Warady, Bradley A. [3 ]
Furth, Susan L. [4 ,5 ]
Munoz, Alvaro [1 ]
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[2] Univ Rochester, Med Ctr, Rochester, NY 14642 USA
[3] Childrens Mercy Hosp, Kansas City, MO USA
[4] Childrens Hosp Philadelphia, Philadelphia, PA 19104 USA
[5] Univ Penn, Perelman Sch Med, Philadelphia, PA 19104 USA
关键词
Pediatric; glomerular filtration rate (GFR); estimated GFR; measured GFR; iohexol; kidney function; kidney measure; chronic kidney disease (CKD); children; adolescents; Chronic Kidney Disease in Children (CKiD); GFR estimating equation; CKD biomarker; GLOMERULAR-FILTRATION-RATE; CHRONIC KIDNEY-DISEASE; COMBINED SERUM CREATININE; CYSTATIN-C; EQUATIONS; CKID; PROGRESSION; PREDICTORS; ACCURACY; OUTCOMES;
D O I
10.1053/j.ajkd.2017.03.019
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: 2 valid and reliable estimated glomerular filtration rate (GFR) equations for the pediatric population have been developed from directly measured GFR data in the Chronic Kidney Disease in Children (CKiD) cohort: the full CKiD and bedside CKiD equations. Although adult GFR estimating equations replicate relationships of measured GFR with biomarkers, it is unclear whether similar patterns exist among children and adolescents with chronic kidney disease (CKD). Study Design: Prospective cohort study in children and adolescents. Settings & Participants: 730 participants contributed 1,539 study visits. Predictors: Measured GFR by plasma iohexol disappearance (mGFR), estimated GFR by the full CKiD equation (eGFR(CKiDfull); based on serum creatinine, cystatin C, serum urea nitrogen, height, and sex), and estimated GFR by the bedside CKiD equation (eGFR(CKiDbed); calculated as 41.3 X height [m]/serum creatinine [mg/dL]) were predictors of CKD-related biomarkers. Deviations of mGFR from eGFR(CKiDfull) and deviations of eGFR(CKiDfull) from eGFR(CKiDbed) from linear regressions (ie, residuals) were included in bivariate analyses. Outcomes & Measurements: CKD-related biomarkers included values for urine protein-creatinine ratio, blood hemoglobin, serum phosphate, bicarbonate, potassium, systolic and diastolic blood pressure z scores, and height z scores. Results: The median age of 730 participants with CKD was 12.5 years, with median mGFR, eGFR(CKiDfull), and eGFR(CKiDbed) of 51.8, 54.0, and 53.2 mL/min/1.73 m(2), respectively. eGFR(CKiDfull) demonstrated as strong or stronger associations with CKD-related biomarkers than mGFR; eGFR(CKiDbed) associations were significantly attenuated (ie, closer to the null). Residual information in mGFR did not substantially increase explained variability. eGFR(CKiDbed) estimated faster GFR decline relative to mGFR and eGFR(CKiDfull). Limitations: Simple linear summaries of biomarkers may not capture nonlinear associations. Conclusions: eGFR(CKiDfull) closely approximated mGFR to describe relationships with CKD-severity indicators and progression in this pediatric CKD population. eGFR(CKiDbed) offered similar inferences, but associations were attenuated and rate of progression was overestimated. The eGFR(CKiDfull) equation from 2012 is preferred for pediatric research purposes. (C) 2017 by the National Kidney Foundation, Inc.
引用
收藏
页码:397 / 405
页数:9
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