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Estimation of Changes in Kidney Volume Growth Rate in ADPKD.
Higashihara, Eiji; Fukuhara, Hiroshi; Ouyang, John; Lee, Jennifer; Nutahara, Kikuo; Tanbo, Mistuhiro; Yamaguchi, Tsuyoshi; Taguchi, Satoru; Muto, Satoru; Kaname, Shinya; Miyazaki, Isao; Horie, Shigeo.
  • Higashihara E; Department of Hereditary Kidney Disease Research, Kyorin University School of Medicine, Tokyo, Japan.
  • Fukuhara H; Department of Urology, Kyorin University School of Medicine, Tokyo, Japan.
  • Ouyang J; Otsuka Pharmaceutical Development and Commercialization, Rockville, Maryland, USA.
  • Lee J; Otsuka Pharmaceutical Development and Commercialization, Rockville, Maryland, USA.
  • Nutahara K; Department of Urology, Kyorin University School of Medicine, Tokyo, Japan.
  • Tanbo M; Department of Urology, Kyorin University School of Medicine, Tokyo, Japan.
  • Yamaguchi T; Department of Urology, Kyorin University School of Medicine, Tokyo, Japan.
  • Taguchi S; Department of Urology, Kyorin University School of Medicine, Tokyo, Japan.
  • Muto S; Department of Urology, Juntendo University School of Medicine, Tokyo, Japan.
  • Kaname S; Department of Nephrology and Rheumatology, Kyorin University School of Medicine, Tokyo, Japan.
  • Miyazaki I; Department of Radiology, Kyorin University School of Medicine, Tokyo, Japan.
  • Horie S; Department of Urology, Juntendo University School of Medicine, Tokyo, Japan.
Kidney Int Rep ; 5(9): 1459-1471, 2020 Sep.
Article en En | MEDLINE | ID: mdl-32954070
ABSTRACT

INTRODUCTION:

In the Mayo Imaging Classification (MIC) for autosomal dominant polycystic kidney disease (ADPKD), the height-adjusted total kidney volume (HtTKV) growth rate is estimated for classification. Estimated HtTKV slope, termed as eHTKV-α, is calculated by the equation [HtTKV at age t] = K(1+α/100)(t-A), where K = 150 and A = 0 are used in MIC. If eHTKV-α is nearly stable during a standard-of-care period, the change in eHTKV-α from baseline can be used for estimation of the treatment effect on the HtTKV slope.

METHODS:

The constancy of eHTKV-α (A = 0 and K = 150) was evaluated using 453 placebo-assigned subjects in the Tolvaptan Efficacy and Safety in Management of ADPKD and Its Outcomes (TEMPO) 34 trial. A and K were sought out respectively by a converged pattern of regression lines of log10(HtTKV) plotted against age for subgroups divided according to MIC, and by change in eHTKV-α from baseline. A total of 239 standard-of-care patients from the Kyorin University Cohort (KUC) served as validation. Changes in eHTKV-α from baseline were evaluated in 809 tolvaptan-treated subjects in TEMPO 34.

RESULTS:

In placebo-assigned subjects, eHTKV-α (A = 0 and K = 150) changed significantly from baseline at the third year. As regression lines of placebo-assigned subgroups converged around age 0, A was set as 0, which was confirmed by KUC. K = 130 was selected because of minimal change in eHTKV-α from baseline. The KUC validated the constancy of eHTKV-α (A = 0 and K = 130) but not that of eHTKV-α (A=0 and K=150). In tolvaptan-treated subjects, eHTKV-α remained significantly lower than baseline for 3 years.

CONCLUSIONS:

eHTKV-α (A = 0 and K = 130) was nearly stable from baseline through follow-up in standard-of-care adults. Treatment effects on the HtTKV slope can be estimated by changes in eHTKV-α from baseline.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Año: 2020 Tipo del documento: Article