Comparison of Methods for Determining Renal Function Decline in Early Autosomal Dominant Polycystic Kidney Disease

Rule, Andrew D.; Torres, Vicente E.; Chapman, Arlene B.; Guay‐Woodford, Lisa M.; Bae, Kyongtae T.; Klahr, Saulo; Bennett, William M.; Meyers, Catherine M.; Thompson, Paul A.; Miller, J. Philip

doi:10.1681/asn.2005070697

Cited by 79 publications

(55 citation statements)

References 26 publications

(28 reference statements)

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“…Likewise, the same observation has been previously made for the gender coefficient factor (35). Some data from the CRISP study (Consortium for Radiologic Imaging Studies of Polycystic Disease) could further support this notion (36). In this longitudinal study, 234 patients with autosomal dominant polycystic kidney disease (ADPKD) were followed for 4 years with one GFR measurement per year.…”

Section: Validation Of Ethnic Coefficient In the African American Stusupporting

confidence: 66%

Are the Creatinine-Based Equations Accurate to Estimate Glomerular Filtration Rate in African American Populations?

Delanaye

Mariat²,

Maillard³

et al. 2011

Clinical Journal of the American Society of Nephrology

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SummaryRegarding the high prevalence of African American patients with ESRD, it is important to estimate the prevalence of early stages of chronic kidney disease in this specific population. Because serum creatinine concentration is dependent on muscular mass, an ethnic factor has to be applied to creatinine-based equations. Such ethnic factors have been proposed in the Modification of Diet in Renal Disease (MDRD) study equation and in the more recent Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations. This review analyzes how these correction factors have been developed and how they have, or have not, been validated in external populations. It will be demonstrated that the African American factor in the MDRD study equation is accurate in African American chronic kidney disease (CKD) patients. However, it will be shown that this factor is probably too high for subjects with a GFR of >60 ml/min per 1.73 m 2 , leading to an underestimation of the prevalence of CKD in the global African American population. It will also be confirmed that this ethnic factor is not accurate in African (non-American) subjects. Lastly, the lack of true external validation of the new CKD-EPI equations will be discussed. Additional trials seem necessary in American African and African populations to better estimate GFR and apprehend the true prevalence of CKD in this population with a high renal risk.

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Section: Validation Of Ethnic Coefficient In the African American Stusupporting

confidence: 66%

Are the Creatinine-Based Equations Accurate to Estimate Glomerular Filtration Rate in African American Populations?

Delanaye

Mariat²,

Maillard³

et al. 2011

Clinical Journal of the American Society of Nephrology

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“…In contrast, data from the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease study (which enrolled patients with polycystic kidney disease and normal baseline GFR) suggested that eGFR slope overestimated the decline in mGFR by 1.5% per year (Ϫ3.0 versus Ϫ1.5% per year) (10). It is unknown whether the discrepancy (i.e., eGFR overestimating rather than underestimating the change in kidney function) resulted from biologic differences among patients with polycystic kidney disease, was dependent on the higher baseline kidney function (where estimating equations are less precise), or resulted from other factors.…”

Section: Discussionmentioning

confidence: 90%

“…However, the validity of these equations for longitudinal application has not been sufficiently examined. Temporal changes in factors influencing creatinine production (e.g., muscle mass and dietary intake) and renal creatinine handling (e.g., tubular secretion), or extra-renal elimination (e.g., antibiotics) potentially further limit the accuracy of estimating equations or serum creatinine used alone as a filtration marker when applied over time (10). Understanding this potential limitation is of particular importance for two reasons: 1) the movement toward standardized reporting of estimated GFR (which may lead clinicians to draw longitudinal comparisons), and 2) the use of estimated GFR as an outcome measure in studies of preservation of kidney function.…”

mentioning

confidence: 99%

A Comparison of Change in Measured and Estimated Glomerular Filtration Rate in Patients with Nondiabetic Kidney Disease

Xie

Joffe

Brunelli

et al. 2008

Clinical Journal of the American Society of Nephrology

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Background and objectives: All glomerular filtration rate (GFR) estimating equations have been developed from crosssectional data. The aims of this study were to examine the concordance between use of measured GFR (mGFR) and estimated GFR (eGFR) in tracking changes in kidney function over time among patients with moderately severe chronic kidney disease.Design, setting, participants, & measurements: A retrospective cohort study of subjects who had been enrolled in the MDRD Study A and who had two or more contemporaneous assessments of mGFR and eGFR (n ‫؍‬ 542; mGFR range, 25 to 55 ml/min per 1.73 m 2 ) during the chronic phase (month 4 and afterwards). mGFR was based on urinary iothalamate clearance; eGFR was based on the 4-variable MDRD Study equation. Temporal changes in GFR were assessed by within-subject linear regression of time on GFR.Results: Median follow-up time for all subjects was 2.6 yr; median number of GFR measurements was six. The eGFR slope tended to underestimate measured decrements in GFR. The absolute value of the difference in mGFR and eGFR slopes was <2 ml/min per 1.73 m 2 per yr among 58.3% of subjects; the remainder of subjects had larger absolute differences. Among the 22 variables studied, none predicted a systematic difference between mGFR slope and eGFR slope.Conclusions: Although eGFR and mGFR exhibited similar relationships to 22 baseline variables, the overall bias seen in the full cohort suggests that clinicians and researchers should exercise caution when interpreting eGFR slope as a marker of progression of kidney disease.

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“…Washington University during CRISP I and the University of Pittsburgh during CRISP II served as the data coordinating and image analysis center (1)(2)(3)(4)(5), which collected images transferred from the collaborating institutions in Digital Imaging and Communications in Medicine format, segmented and analyzed images, stored and recorded results, and performed statistical analysis.…”

Section: Study Organizationmentioning

confidence: 99%

“…The National Institutes of Health-sponsored Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) was created to develop imaging techniques and analyses to follow disease progression and evaluate treatments for autosomal dominant polycystic kidney disease (ADPKD) (1)(2)(3)(4)(5). CRISP followed 241 subjects (age 15 to 46 years; creatinine clearance at entry Ͼ70 ml/min) between January 5, 2001 and August 26, 2005 (CRISP I) at Emory University, Kansas University Medical Center, the Mayo Clinic, and the University of Alabama-Birmingham with baseline and three yearly (YR1 to YR3) visits including measurements of total kidney volume (TKV) by magnetic resonance (MR) and GFR by iothalamate clearance.…”

Section: Introductionmentioning

confidence: 99%

Potentially Modifiable Factors Affecting the Progression of Autosomal Dominant Polycystic Kidney Disease

Torres

Grantham

Chapman

et al. 2011

Clinical Journal of the American Society of Nephrology

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122

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SummaryBackground and objectives The Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) was created to identify markers of disease progression in patients with autosomal dominant polycystic kidney disease (ADPKD).Design, setting, participants, & measurements Linear mixed models were utilized to model effects of baseline parameters on changes in natural-log (ln)-transformed total kidney volume (TKV) and iothalamate clearance (GFR) across time in CRISP participants (creatinine clearance at entry Ͼ70 ml/min). Stepwise selection was used to obtain a final main effect model.Results TKV increased from year to year, whereas GFR uncorrected for body surface area (BSA) decreased only at year 6. Higher lnTKV and urine sodium excretion (U Na V), lower serum HDL-cholesterol, and younger age at baseline associated with greater lnTKV growth from baseline to year 3 and to year 6. Higher lnTKV at baseline associated with greater GFR decline from year 1 to year 3 and to year 6. Higher BSA and 24-hour urine osmolality at baseline associated with greater GFR decline from year 1 to year 6. Higher U Na V and lower serum HDL-cholesterol at baseline associated with greater GFR decline from year 1 to year 6 by univariate analysis only. Associations seen during year 1 to year 6 (not seen during year 1 to year 3) reflect the time lag between structural and functional disease progression.Conclusions Serum HDL-cholesterol, U Na V, and 24-hour urine osmolality likely affect ADPKD progression. To what extent their modification may influence the clinical course of ADPKD remains to be determined.

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Comparison of Methods for Determining Renal Function Decline in Early Autosomal Dominant Polycystic Kidney Disease

Cited by 79 publications

References 26 publications

Are the Creatinine-Based Equations Accurate to Estimate Glomerular Filtration Rate in African American Populations?

Are the Creatinine-Based Equations Accurate to Estimate Glomerular Filtration Rate in African American Populations?

A Comparison of Change in Measured and Estimated Glomerular Filtration Rate in Patients with Nondiabetic Kidney Disease

Potentially Modifiable Factors Affecting the Progression of Autosomal Dominant Polycystic Kidney Disease

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