scholarly journals P0037POPULATION CHARACTERISTICS ACROSS AN EXPANDED POOLED DATABASE OF MULTIPLE AUTOSOMAL DOMINANT POLYCYSTIC KIDNEY DISEASE CLINICAL STUDIES

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Xiaolei Zhou ◽  
Eric Davenport ◽  
John Ouyang ◽  
Molly Hoke ◽  
Diana Garbinsky ◽  
...  

Abstract Background and Aims Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disease and the fourth-leading cause of kidney failure. Over the past two decades, various studies have been conducted to characterize the natural history of ADPKD and investigate impacts of potential treatments on disease progression. Previously, we created a pooled longitudinal database of unique subjects from nine studies to evaluate and analyze outcomes. The database was expanded to include data from two recent tolvaptan (TOL) trials (156-13-210 and 156-13-211). Here, we describe the baseline characteristics of the expanded pooled population. Method Data from 11 ADPKD studies (from 2001 to 2018, sponsored by Otsuka or National Institutes of Health) were combined and divided into two groups: TOL and standard of care (SOC). TOL consisted of trial subjects initiating treatment in one of seven trials (156-04-250, 156-04-251, 156-06-260, 156-09-284, 156-09-290, 156-08-271, and 156-13-210); SOC included subjects from placebo arms of two TOL randomized trials (156-04-251 and 156-09-290), all standard blood pressure control arms in the HALT-PKD trials, and subjects from two observational studies (156-10-291 and CRISP). Subjects in the placebo arm of study 156-13-210 received TOL for 5 weeks before randomization and were therefore included in the TOL group. Eligible subjects who completed an early TOL study continued TOL treatment in the extension study 156-08-271 and/or in a second extension study 156-13-211. Estimated glomerular filtration rate (eGFR) was calculated in all studies using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Total kidney volume (TKV) was measured by magnetic resonance imaging and available in all studies except 156-13-210, 156-13-211, and HALT-PKD study B. Results The pooled analysis included 7,117 eligible subjects (TOL: 2,928; SOC: 4,189) from the United States (47.5%) and other countries. The two cohorts had similar age (mean age, 43.6 vs. 44.1 years) and sex distribution (50.5% male vs. 45.2% male). The TOL group had more white subjects (90.5% vs. 80.7%) and fewer Hispanic subjects (4.0% vs. 12.6%), a lower baseline mean eGFR (60 vs. 70 mL/min/1.73 m2), more in chronic kidney disease (CKD) stage 3 or above (58.1% vs. 41.0%), and more frequent history of signs of rapid disease progression (e.g., nephrolithiasis, hematuria, urinary tract infection). Among 4,917 subjects with TKV assessments, mean baseline TKV was higher in the TOL group (1,817 mL) compared with SOC (1,627 mL). Conclusion In this large, longitudinal database of unique subjects with ADPKD, distinct differences exist in some baseline characteristics of the TOL and SOC groups. Compared with the previous database, the expanded database doubled the size of the TOL group and included more subjects who were older and with advanced chronic kidney disease stage. This database provides a diverse ADPKD population to assess outcomes.

2018 ◽  
Vol 48 (1) ◽  
pp. 67-78 ◽  
Author(s):  
Riccardo Magistroni ◽  
Cristiana Corsi ◽  
Teresa Martí ◽  
Roser Torra

Background: Autosomal dominant polycystic kidney disease (ADPKD) is the commonest inherited renal disorder; it is defined by progressive renal cyst formation and subsequent renal enlargement that leads to end-stage renal disease. Until recently, only symptomatic treatments for ADPKD existed. However, therapies that address the underlying pathophysiology of ADPKD are now available and accurate identification of the rate of disease progression is essential. Summary: Published data on the different imaging modalities for measuring kidney and cyst volumes in ADPKD are reviewed. The advantages and drawbacks of the different techniques for calculating kidney volume from renal imaging are also examined, including the use of manual planimetry, stereology, and the ellipsoid equation, as well as the prospect of semi- and fully automatic techniques. The translation of these approaches into clinical practice and their role in informing treatment decisions is discussed. Key Messages: These new therapies require the accurate monitoring of disease progression, which along with diagnosis and prognosis, relies on the effective use of renal imaging techniques. There is growing support for the use of total kidney volume as a measure of cyst burden and as a prognostic predictor of renal function in ADPKD, showing promise as a marker of disease progression.


2017 ◽  
Vol 51 (6) ◽  
pp. 476-480 ◽  
Author(s):  
Mariusz Niemczyk ◽  
Monika Gradzik ◽  
Magda Fliszkiewicz ◽  
Andrzej Kulesza ◽  
Marek Gołębiowski ◽  
...  

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