Literature DB >> 24408220

Epidemiology of dyslipidemia in chronic kidney disease.

Kunitoshi Iseki1.   

Abstract

Dyslipidemia is an established risk factor for atherosclerotic disease, such as stroke and ischemic heart disease, and is often detected in patients with chronic kidney disease (CKD). The role of dyslipidemia in CKD progression, however, is not well understood. CKD patients are heterogeneous and may include those who are malnourished or have hypoalbuminemia associated with proteinuria and a low estimated glomerular filtration rate (eGFR). Recent intervention trials showed no clear-cut benefits of statin treatment, particularly for CKD patients on dialysis. In CKD patients, multiple confounding variables such as proteinuria and the presence of cardiovascular disease may mask the effects of statins. Among them, proteinuria is a potent predictor of CKD progression (eGFR decline) and the development of end-stage renal disease. CKD patients are at high risk not only for end-stage renal disease, but also for cardiovascular disease, infection, malnutrition, and other comorbid conditions frequently associated with the elderly population. Evaluation and the target range of treatment of dyslipidemia should be individualized.

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Year:  2014        PMID: 24408220     DOI: 10.1007/s10157-013-0891-8

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


  25 in total

1.  Longitudinal progression trajectory of GFR among patients with CKD.

Authors:  Liang Li; Brad C Astor; Julia Lewis; Bo Hu; Lawrence J Appel; Michael S Lipkowitz; Robert D Toto; Xuelei Wang; Jackson T Wright; Tom H Greene
Journal:  Am J Kidney Dis       Date:  2012-01-26       Impact factor: 8.860

2.  Risk factor profiles based on estimated glomerular filtration rate and dipstick proteinuria among participants of the Specific Health Check and Guidance System in Japan 2008.

Authors:  Kunitoshi Iseki; Koichi Asahi; Toshiki Moriyama; Kunihiro Yamagata; Kazuhiko Tsuruya; Hideaki Yoshida; Shoichi Fujimoto; Tsuneo Konta; Issei Kurahashi; Yasuo Ohashi; Tsuyoshi Watanabe
Journal:  Clin Exp Nephrol       Date:  2011-11-08       Impact factor: 2.801

3.  Metabolic syndrome and chronic kidney disease in Okinawa, Japan.

Authors:  H Tanaka; Y Shiohira; Y Uezu; A Higa; K Iseki
Journal:  Kidney Int       Date:  2006-01       Impact factor: 10.612

4.  Body mass index and the risk of development of end-stage renal disease in a screened cohort.

Authors:  Kunitoshi Iseki; Yoshiharu Ikemiya; Kozen Kinjo; Taku Inoue; Chiho Iseki; Shuichi Takishita
Journal:  Kidney Int       Date:  2004-05       Impact factor: 10.612

Review 5.  Lipid-lowering therapy in persons with chronic kidney disease: a systematic review and meta-analysis.

Authors:  Ashish Upadhyay; Amy Earley; Jenny L Lamont; Shana Haynes; Christoph Wanner; Ethan M Balk
Journal:  Ann Intern Med       Date:  2012-08-21       Impact factor: 25.391

6.  Proteinuria and the risk of developing end-stage renal disease.

Authors:  Kunitoshi Iseki; Yoshiharu Ikemiya; Chiho Iseki; Shuichi Takishita
Journal:  Kidney Int       Date:  2003-04       Impact factor: 10.612

7.  Metabolic syndrome and risk of developing chronic kidney disease in Japanese adults.

Authors:  Masahiko Tozawa; Chiho Iseki; Kaori Tokashiki; Saori Chinen; Kentaro Kohagura; Kozen Kinjo; Shuichi Takishita; Kunitoshi Iseki
Journal:  Hypertens Res       Date:  2007-10       Impact factor: 3.872

8.  Effects of atorvastatin on renal function in patients with dyslipidemia and chronic kidney disease: rationale and design of the ASsessment of clinical Usefulness in CKD patients with Atorvastatin (ASUCA) trial.

Authors:  Kenji Ueshima; Masato Kasahara; Daisuke Koya; Tetsuya Babazono; Tosiya Sato; Miyuki Imamoto; Shinji Yasuno; Akira Fujimoto; Shiro Tanaka; Genjiro Kimura; Kazuwa Nakao
Journal:  Clin Exp Nephrol       Date:  2012-09-06       Impact factor: 2.801

9.  The Framingham predictive instrument in chronic kidney disease.

Authors:  Daniel E Weiner; Hocine Tighiouart; Essam F Elsayed; John L Griffith; Deeb N Salem; Andrew S Levey; Mark J Sarnak
Journal:  J Am Coll Cardiol       Date:  2007-07-02       Impact factor: 24.094

Review 10.  Nephrology for the people: Presidential Address at the 42nd Regional Meeting of the Japanese Society of Nephrology in Okinawa 2012.

Authors:  Kunitoshi Iseki
Journal:  Clin Exp Nephrol       Date:  2013-02-08       Impact factor: 2.801

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  4 in total

1.  Triglyceride levels are closely associated with mild declines in estimated glomerular filtration rates in middle-aged and elderly Chinese with normal serum lipid levels.

Authors:  Xinguo Hou; Chuan Wang; Xiuping Zhang; Xiangmin Zhao; Yulian Wang; Chengqiao Li; Mei Li; Shaoyuan Wang; Weifang Yang; Zeqiang Ma; Aixia Ma; Huizhen Zheng; Jiahui Wu; Yu Sun; Jun Song; Peng Lin; Kai Liang; Lei Gong; Meijian Wang; Fuqiang Liu; Wenjuan Li; Juan Xiao; Fei Yan; Junpeng Yang; Lingshu Wang; Meng Tian; Jidong Liu; Ruxing Zhao; Shihong Chen; Li Chen
Journal:  PLoS One       Date:  2014-10-02       Impact factor: 3.240

2.  Kidney-secreted erythropoietin lowers lipidemia via activating JAK2-STAT5 signaling in adipose tissue.

Authors:  Jinxiang Li; Minliang Yang; Zhuo Yu; Jianwei Tian; Songlin Du; Hanying Ding
Journal:  EBioMedicine       Date:  2019-11-15       Impact factor: 8.143

3.  Association of Early Renal Dysfunction with Lipid Profile Parameters among Hypertensives in Kazakhstan.

Authors:  Alma Nurtazina; Dana Kozhakhmetova; Daulet Dautov; Nurzhanat Khaidarova; Vijay Kumar Chattu
Journal:  Diagnostics (Basel)       Date:  2021-05-12

4.  Apolipoprotein B is a risk factor for end-stage renal disease.

Authors:  Soie Kwon; Dong Ki Kim; Kook-Hwan Oh; Kwon Wook Joo; Chun Soo Lim; Yon Su Kim; Seung Seok Han
Journal:  Clin Kidney J       Date:  2020-02-11
  4 in total

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