Literature DB >> 33928479

Factors predicting decline in renal function and kidney volume growth in autosomal dominant polycystic kidney disease: a prospective cohort study (Japanese Polycystic Kidney Disease registry: J-PKD).

Kiyotaka Uchiyama1, Toshio Mochizuki2,3, Yosuke Shimada4,5, Saori Nishio6, Hiroshi Kataoka2,3, Michihiro Mitobe2,3, Ken Tsuchiya7, Kazushige Hanaoka8, Yoshifumi Ubara9, Tatsuya Suwabe9, Akinari Sekine9, Kikuo Nutahara10, Kazuhiko Tsuruya11,12, Eiji Ishimura13, Shinya Nakatani14, Tadashi Sofue15, Satoshi Tanaka16, Ichiei Narita17, Shoichi Maruyama18, Shigeo Horie19,20, Satoru Muto21,22.   

Abstract

BACKGROUND: Factors affecting decline in renal function and cyst growth in patients with autosomal polycystic kidney disease (ADPKD) are not fully described, particularly in Japan.
METHODS: This was the first multi-facility, prospective, observational cohort study conducted in ADPKD patients at 14 centers in Japan. Patients in the J-PKD registry were assessed from December 2009 to June 2012 (follow-up until June 2017). Patients' data including estimated glomerular filtration rate (eGFR) and total kidney volume (TKV) were assessed initially and a maximum of five times annually. Contributing factors to eGFR decline and TKV growth were identified using multiple linear regression analysis.
RESULTS: Of the 340 patients in the J-PKD registry, data analysis was performed for 192 patients in whom serial changes for both eGFR and TKV were obtained. eGFR slope, eGFR change, and TKV change values were as follows: - 2.7 (- 4.2 to - 1.5) (ml/min/1.73 m2/year), - 5.0 (- 9.6 to - 2.3) (%/year), and 4.78 (0.86-8.22) (%/year), respectively. Lower high-density lipoprotein (HDL) cholesterol was an independent predictor of eGFR decline, using both eGFR slope and change (P = 0.04, P = 0.02, respectively), whereas lower hemoglobin and higher uric acid were significantly associated with greater eGFR change only (P = 0.02, P = 0.002, respectively). Younger age and higher fasting blood sugar were independent predictors of greater TKV change (P = 0.01, P = 0.02, respectively).
CONCLUSIONS: This real-world study in Japan identified risk factors for renal function decline in ADPKD patients. These included lower HDL cholesterol, lower hemoglobin and higher uric acid for eGFR decline, and youth and higher blood sugar levels for TKV growth.
© 2021. Japanese Society of Nephrology.

Entities:  

Keywords:  Autosomal dominant polycystic kidney disease; High-density lipoprotein cholesterol; J-PKD; Renal function; Total kidney volume

Mesh:

Substances:

Year:  2021        PMID: 33928479     DOI: 10.1007/s10157-021-02068-x

Source DB:  PubMed          Journal:  Clin Exp Nephrol        ISSN: 1342-1751            Impact factor:   2.801


  36 in total

Review 1.  Autosomal dominant polycystic kidney disease.

Authors:  Emilie Cornec-Le Gall; Ahsan Alam; Ronald D Perrone
Journal:  Lancet       Date:  2019-02-25       Impact factor: 79.321

2.  Factors affecting the progression of renal disease in autosomal-dominant polycystic kidney disease.

Authors:  P A Gabow; A M Johnson; W D Kaehny; W J Kimberling; D C Lezotte; I T Duley; R H Jones
Journal:  Kidney Int       Date:  1992-05       Impact factor: 10.612

3.  Potentially modifiable factors affecting the progression of autosomal dominant polycystic kidney disease.

Authors:  Vicente E Torres; Jared J Grantham; Arlene B Chapman; Michal Mrug; Kyongtae T Bae; Bernard F King; Louis H Wetzel; Diego Martin; Mark E Lockhart; William M Bennett; Marva Moxey-Mims; Kaleab Z Abebe; Yan Lin; James E Bost
Journal:  Clin J Am Soc Nephrol       Date:  2010-11-18       Impact factor: 8.237

4.  Relationship between renal volume growth and renal function in autosomal dominant polycystic kidney disease: a longitudinal study.

Authors:  Godela M Fick-Brosnahan; Mark M Belz; Kim K McFann; Ann M Johnson; Robert W Schrier
Journal:  Am J Kidney Dis       Date:  2002-06       Impact factor: 8.860

5.  The relationship between renal volume and renal function in autosomal dominant polycystic kidney disease.

Authors:  Shino Tokiwa; Satoru Muto; Toshiyuki China; Shigeo Horie
Journal:  Clin Exp Nephrol       Date:  2011-03-24       Impact factor: 2.801

6.  Identification of patients with autosomal dominant polycystic kidney disease at highest risk for end-stage renal disease.

Authors:  A M Johnson; P A Gabow
Journal:  J Am Soc Nephrol       Date:  1997-10       Impact factor: 10.121

7.  Overweight and Obesity Are Predictors of Progression in Early Autosomal Dominant Polycystic Kidney Disease.

Authors:  Kristen L Nowak; Zhiying You; Berenice Gitomer; Godela Brosnahan; Vicente E Torres; Arlene B Chapman; Ronald D Perrone; Theodore I Steinman; Kaleab Z Abebe; Frederic F Rahbari-Oskoui; Alan S L Yu; Peter C Harris; Kyongtae T Bae; Marie Hogan; Dana Miskulin; Michel Chonchol
Journal:  J Am Soc Nephrol       Date:  2017-11-08       Impact factor: 10.121

8.  Prevalence and renal prognosis of diagnosed autosomal dominant polycystic kidney disease in Japan.

Authors:  E Higashihara; K Nutahara; M Kojima; A Tamakoshi; O Yoshiyuki; H Sakai; K Kurokawa
Journal:  Nephron       Date:  1998-12       Impact factor: 2.847

9.  Magnetic resonance measurements of renal blood flow and disease progression in autosomal dominant polycystic kidney disease.

Authors:  Vicente E Torres; Bernard F King; Arlene B Chapman; Marijn E Brummer; Kyongtae T Bae; James F Glockner; Kraisthith Arya; Dana Risk; Joel P Felmlee; Jared J Grantham; Lisa M Guay-Woodford; William M Bennett; Saulo Klahr; Catherine M Meyers; Xiaoling Zhang; Paul A Thompson; J Philip Miller
Journal:  Clin J Am Soc Nephrol       Date:  2006-11-02       Impact factor: 8.237

10.  Renal disease progression in autosomal dominant polycystic kidney disease.

Authors:  Eiji Higashihara; Shigeo Horie; Satoru Muto; Toshio Mochizuki; Saori Nishio; Kikuo Nutahara
Journal:  Clin Exp Nephrol       Date:  2012-04-21       Impact factor: 2.801

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  3 in total

1.  Germline Mutations for Kidney Volume in ADPKD.

Authors:  Hiroshi Kataoka; Rie Yoshida; Naomi Iwasa; Masayo Sato; Shun Manabe; Keiko Kawachi; Shiho Makabe; Taro Akihisa; Yusuke Ushio; Atsuko Teraoka; Ken Tsuchiya; Kosaku Nitta; Toshio Mochizuki
Journal:  Kidney Int Rep       Date:  2021-12-13

2.  Mayo imaging classification is a good predictor of rapid progress among Korean patients with autosomal dominant polycystic kidney disease: results from the KNOW-CKD study.

Authors:  Hayne Cho Park; Yeji Hong; Jeong-Heum Yeon; Hyunjin Ryu; Yong-Chul Kim; Joongyub Lee; Yeong Hoon Kim; Dong-Wan Chae; WooKyung Chung; Curie Ahn; Kook-Hwan Oh; Yun Kyu Oh
Journal:  Kidney Res Clin Pract       Date:  2022-03-03

Review 3.  Drugs in Clinical Development to Treat Autosomal Dominant Polycystic Kidney Disease.

Authors:  Thomas Bais; Ron T Gansevoort; Esther Meijer
Journal:  Drugs       Date:  2022-07-19       Impact factor: 11.431

  3 in total

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