Literature DB >> 26920126

Combination of low body mass index and serum albumin level is associated with chronic kidney disease progression: the chronic kidney disease-research of outcomes in treatment and epidemiology (CKD-ROUTE) study.

Hiroaki Kikuchi1, Eiichiro Kanda2, Shintaro Mandai1, Masanobu Akazawa3, Soichiro Iimori1, Katsuyuki Oi4, Shotaro Naito1, Yumi Noda5, Takayuki Toda6, Teiichi Tamura7, Sei Sasaki1, Eisei Sohara1, Tomokazu Okado1, Tatemitsu Rai1, Shinichi Uchida1.   

Abstract

BACKGROUND: The relationship between protein-energy wasting and chronic kidney disease (CKD) progression is unknown. In the present prospective cohort study, we evaluated the hypothesis that a combination of low body mass index (BMI) and serum albumin level is associated with rapid CKD progression.
METHODS: The study cohort comprised 728 predialysis Japanese patients with CKD (stages 2-5) enrolled from 2010 to 2011. Patients were categorized into four groups according to their serum albumin levels and BMI: group 1, low serum albumin level (<4 g/dL) and low BMI (<23.5 kg/m2); group 2, high serum albumin level (≥4 g/dL) and low BMI; group 3, low serum albumin level and high BMI (≥23.5 kg/m2); and group 4, high serum albumin level and high BMI. The primary outcome was a 30 % decline in estimated glomerular filtration rate (eGFR) or start of dialysis within 2 years. The secondary outcome was an annual GFR decline (mL/min/1.73 m2/year).
RESULTS: Logistic regression analysis adjusted for baseline characteristics (reference, group 4) showed that only group 1 was associated with a significant risk of CKD progression, with adjusted odds ratio of 3.51 [95 % confidence interval (CI) (1.63, 7.56)]. A multivariate linear regression analysis adjusted for baseline characteristics showed a significant difference in annual eGFR decline between groups 1 and 4 [coefficients β (standard error) -2.62 (0.75), p = 0.001].
CONCLUSION: This study suggests that combined effects of low BMI (<23.5 kg/m2) and serum albumin level (<4 g/dL) are associated with CKD progression.

Entities:  

Keywords:  Albumin; Body mass index; Chronic kidney disease; Nutrition; Protein–energy wasting

Mesh:

Substances:

Year:  2016        PMID: 26920126     DOI: 10.1007/s10157-016-1251-2

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


  32 in total

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2.  Effect of gender on the progression of nondiabetic renal disease: a meta-analysis.

Authors:  Joel Neugarten; Anjali Acharya; Sharon R Silbiger
Journal:  J Am Soc Nephrol       Date:  2000-02       Impact factor: 10.121

3.  Relationship between nutritional status and the glomerular filtration rate: results from the MDRD study.

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Journal:  Kidney Int       Date:  2000-04       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

5.  Bicarbonate supplementation slows progression of CKD and improves nutritional status.

Authors:  Ione de Brito-Ashurst; Mira Varagunam; Martin J Raftery; Muhammad M Yaqoob
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6.  Growth hormone improves lean body mass, physical performance, and quality of life in subjects with HIV-associated weight loss or wasting on highly active antiretroviral therapy.

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7.  Inflammatory biomarkers and decline in kidney function in the elderly: the Cardiovascular Health Study.

Authors:  Christopher Keller; Ronit Katz; Mark J Sarnak; Linda F Fried; Bryan Kestenbaum; Mary Cushman; Michael G Shlipak
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8.  Body mass index in 1.2 million adolescents and risk for end-stage renal disease.

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Review 9.  Why is protein-energy wasting associated with mortality in chronic kidney disease?

Authors:  Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Semin Nephrol       Date:  2009-01       Impact factor: 5.299

Review 10.  Reassessment of albumin as a nutritional marker in kidney disease.

Authors:  Allon N Friedman; Stephen Z Fadem
Journal:  J Am Soc Nephrol       Date:  2010-01-14       Impact factor: 10.121

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3.  Relationship between compliance with management target values and renal prognosis in multidisciplinary care for outpatients with chronic kidney disease.

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4.  Lack of hepcidin ameliorates anemia and improves growth in an adenine-induced mouse model of chronic kidney disease.

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Journal:  Am J Physiol Renal Physiol       Date:  2016-07-20

5.  Status of Nutrition In Hemodialysis Patients Survey (SNIPS): Malnutrition risk by diabetes status.

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6.  Association Between Serum Albumin Levels and Obesity and Risk of Developing Chronic Kidney Disease Using Data from the Korean Multi-Rural Communities Cohort (MRCohort) Population Database.

Authors:  Kwang Ho Mun
Journal:  Med Sci Monit       Date:  2021-08-16

7.  Association of cerebral oxygenation with estimated glomerular filtration rate and cognitive function in chronic kidney disease patients without dialysis therapy.

Authors:  Haruhisa Miyazawa; Susumu Ookawara; Kiyonori Ito; Yuichiro Ueda; Katsunori Yanai; Hiroki Ishii; Yuko Mutsuyoshi; Taisuke Kitano; Mitsutoshi Shindo; Akinori Aomatsu; Keiji Hirai; Taro Hoshino; Yoshiyuki Morishita
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8.  Short-term prognosis of emergently hospitalized dialysis-independent chronic kidney disease patients: A nationwide retrospective cohort study in Japan.

Authors:  Hiroaki Kikuchi; Eiichiro Kanda; Takayasu Mori; Hidehiko Sato; Soichiro Iimori; Naohiro Nomura; Shotaro Naito; Eisei Sohara; Tomokazu Okado; Shinichi Uchida; Kiyohide Fushimi; Tatemitsu Rai
Journal:  PLoS One       Date:  2018-11-29       Impact factor: 3.240

9.  Association Between Serum Albumin Levels and Diabetic Peripheral Neuropathy Among Patients with Type 2 Diabetes: Effect Modification of Body Mass Index.

Authors:  Ying Hu; Jiancheng Wang; Sha Zeng; Mengxia Chen; Guilin Zou; Yuxia Li; Lingyan Zhu; Jixiong Xu
Journal:  Diabetes Metab Syndr Obes       Date:  2022-02-22       Impact factor: 3.168

10.  Decline of kidney function during the pre-dialysis period in chronic kidney disease patients: a systematic review and meta-analysis.

Authors:  Cynthia J Janmaat; Merel van Diepen; Cheyenne Ce van Hagen; Joris I Rotmans; Friedo W Dekker; Olaf M Dekkers
Journal:  Clin Epidemiol       Date:  2018-05-25       Impact factor: 4.790

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