Determinants of renal volume in autosomal-dominant polycystic kidney disease

被引:81
|
作者
Grantham, J. J. [1 ]
Cook, L. T. [2 ]
Torres, V. E. [3 ]
Bost, J. E. [4 ]
Chapman, A. B. [5 ]
Harris, P. C. [3 ]
Guay-Woodford, L. M. [6 ]
Bae, K. T. [7 ]
机构
[1] Univ Kansas, Med Ctr, Kidney Inst, Dept Med, Kansas City, KS 66160 USA
[2] Univ Kansas, Med Ctr, Dept Diagnost Radiol, Kansas City, KS 66103 USA
[3] Mayo Clin, Coll Med, Div Nephrol & Hypertens, Rochester, MN USA
[4] Univ Pittsburgh, Dept Med, Pittsburgh, PA USA
[5] Emory Univ, Sch Med, Div Nephrol, Atlanta, GA USA
[6] Univ Alabama, Sch Med, Dept Med, Birmingham, AL USA
[7] Univ Pittsburgh, Dept Radiol, Pittsburgh, PA 15260 USA
关键词
renal cysts; cell growth; polycystic kidney; prolifiration cyst volume; tubules;
D O I
10.1038/sj.ki.5002624
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
The Consortium of Radiologic Imaging Studies of Polycystic Kidney Disease ( CRISP) recently showed that renal enlargement in autosomal-dominant polycystic kidney disease mimicked exponential growth. We determined the effects of cyst initiation rate, total number, and growth rate on the time-dependent change of total cyst volume (TCV). Mathematical models with equations integrating cyst surface area, volume, and an invariant growth rate constant were used to compute the time-dependent change in volume of solitary and multiple cysts. Multiple expanding cysts increased TCV in an exponential-like pattern even when individual cysts formed at different rates or exhibited different but constant growth rates. TCV depended on the rate of cyst initiation and on the total number of cysts; however, the compounding effect of exponential-like growth was the most powerful determinant of long-term cyst expansion. Extrapolation of TCV data plots for individual subjects back to an age of 18 predicted TCV values within an established range. We conclude that cysts started early in life were the main contributor to eventual TCV while their growth rate primarily determined renal size; although the rate of formation and the ultimate number of cysts also contributed. The good fit between the exponential models and the extrapolated CRISP data indicates that the TCV growth rate is a defining trait for individual patients and may be used as a prognostic marker.
引用
收藏
页码:108 / 116
页数:9
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