Dataset Information

Total Kidney Volume Is a Prognostic Biomarker of Renal Function Decline and Progression to End-Stage Renal Disease in Patients With Autosomal Dominant Polycystic Kidney Disease.

ABSTRACT: Autosomal dominant polycystic kidney disease is the most common hereditary kidney disease. TKV is a promising imaging biomarker for tracking and predicting the natural history of autosomal dominant polycystic kidney disease. The prognostic value of TKV was evaluated, in combination with age and eGFR, for the outcomes of 30% decline in eGFR and progression to ESRD. Observational data including 2355 patients with TKV measurements were available.Multivariable Cox models were developed to assess the prognostic value of age, TKV, height-adjusted TKV, eGFR, sex, race, and genotype for the probability of a 30% decline in eGFR or ESRD.TKV was the most important prognostic term for 30% decline in eGFR in autosomal dominant polycystic kidney disease patients with and without preserved baseline eGFR. For a 40-year-old subject with preserved eGFR (70 ml/min per 1.73 m2), the adjusted hazard ratios for a 30% decline in eGFR were 1.86 (95% CI, 1.65-2.10) for a 2-fold larger TKV (600 vs. 1200 ml) and 2.68 (95% CI, 2.22-3.24) for a 3-fold larger TKV (600 vs. 1800 ml), respectively. Hazard ratios for progression to ESRD for 2- and 3-fold larger TKV were 1.72 (95% CI, 1.49-1.99) and 2.36 (95% CI, 1.88-2.97), respectively.The capability to predict 30% decline in eGFR is a novel aspect of this study. TKV was formally qualified, both by FDA and EMA, as a prognostic enrichment biomarker for selecting patients at high risk for a progressive decline in renal function for inclusion in interventional clinical trials.

SUBMITTER: Perrone RD

PROVIDER: S-EPMC5678856 | biostudies-other | 2017 May

REPOSITORIES: biostudies-other

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Total Kidney Volume Is a Prognostic Biomarker of Renal Function Decline and Progression to End-Stage Renal Disease in Patients With Autosomal Dominant Polycystic Kidney Disease.

Perrone Ronald D RD Mouksassi Mohamad-Samer MS Romero Klaus K Czerwiec Frank S FS Chapman Arlene B AB Gitomer Berenice Y BY Torres Vicente E VE Miskulin Dana C DC Broadbent Steve S Marier Jean F JF

Kidney international reports 20170116 3

<h4>Introduction</h4>Autosomal dominant polycystic kidney disease is the most common hereditary kidney disease. TKV is a promising imaging biomarker for tracking and predicting the natural history of autosomal dominant polycystic kidney disease. The prognostic value of TKV was evaluated, in combination with age and eGFR, for the outcomes of 30% decline in eGFR and progression to ESRD. Observational data including 2355 patients with TKV measurements were available.<h4>Methods</h4>Multivariable Co ...[more]

PMID: 29142971

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Project description:BackgroundIn autosomal dominant polycystic kidney disease (ADPKD), total kidney volume (TKV) is regarded as an important biomarker of disease progression and different methods are available to assess kidney volume. The purpose of this study was to identify the most efficient kidney volume computation method to be used in clinical studies evaluating the effectiveness of treatments on ADPKD progression.Methods and findingsWe measured single kidney volume (SKV) on two series of MR and CT images from clinical studies on ADPKD (experimental dataset) by two independent operators (expert and beginner), twice, using all of the available methods: polyline manual tracing (reference method), free-hand manual tracing, semi-automatic tracing, Stereology, Mid-slice and Ellipsoid method. Additionally, the expert operator also measured the kidney length. We compared different methods for reproducibility, accuracy, precision, and time required. In addition, we performed a validation study to evaluate the sensitivity of these methods to detect the between-treatment group difference in TKV change over one year, using MR images from a previous clinical study. Reproducibility was higher on CT than MR for all methods, being highest for manual and semiautomatic contouring methods (planimetry). On MR, planimetry showed highest accuracy and precision, while on CT accuracy and precision of both planimetry and Stereology methods were comparable. Mid-slice and Ellipsoid method, as well as kidney length were fast but provided only a rough estimate of kidney volume. The results of the validation study indicated that planimetry and Stereology allow using an importantly lower number of patients to detect changes in kidney volume induced by drug treatment as compared to other methods.ConclusionsPlanimetry should be preferred over fast and simplified methods for accurately monitoring ADPKD progression and assessing drug treatment effects. Expert operators, especially on MR images, are required for performing reliable estimation of kidney volume. The use of efficient TKV quantification methods considerably reduces the number of patients to enrol in clinical investigations, making them more feasible and significant.

Project description:Background and objectivesTo evaluate the growth pattern of kidney cyst number and cyst volume in association with kidney size, demographics, and genotypes in autosomal dominant polycystic kidney disease.Design, setting, participants, & measurementsKidney cyst number and cyst volume were measured from serial magnetic resonance images, giving a maximum follow-up of 14.23 years, from 241 patients with autosomal dominant polycystic kidney disease (15-46 years old at baseline). The growth pattern was analyzed, in association with sex, age, height-adjusted total kidney volume, and genotype, using linear mixed models of repeated measurements and tests of interactions with age (as a time-dependent covariate) to assess rates of change over time. Models were also fit using Irazabal class. Genotypic groups were characterized as either (1) PKD1 truncating, PKD1 nontruncating, and PKD2 plus patients with no mutation detected; or (2) in combination with PKD1 mutation strength groups.ResultsImaging and genetic data were collected (at least one visit) for 236 participants. The mean height-adjusted total cyst number increased exponentially over time from a baseline value of 762 to 1715 at the last clinic visit, while the mean height-adjusted total cyst volume increased exponentially from 305 to 770 ml. Height-adjusted total kidney volume, height-adjusted total cyst number, and height-adjusted total cyst volume were all highly correlated over time. Female participants and participants with larger height-adjusted total kidney volume at baseline showed smaller rates of change in the log of height-adjusted total cyst number and cyst volume. PKD1 was associated with significant increases in both cyst number and volume at a given age, but genotype did not significantly affect the rate of growth.ConclusionsBoth height-adjusted total cyst number and height-adjusted total cyst volume increased exponentially and more than doubled over 14.23 years of follow-up. Compared with PKD2 plus no mutation detected, PKD1 was associated with a greater cyst number and volume at a given age, but no significant difference in the rate of growth.

Dataset Information

Total Kidney Volume Is a Prognostic Biomarker of Renal Function Decline and Progression to End-Stage Renal Disease in Patients With Autosomal Dominant Polycystic Kidney Disease.

Publications

Total Kidney Volume Is a Prognostic Biomarker of Renal Function Decline and Progression to End-Stage Renal Disease in Patients With Autosomal Dominant Polycystic Kidney Disease.

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