alexa Predictors of new-onset kidney disease in a community-based population.
Nephrology

Nephrology

Journal of Nephrology & Therapeutics

Author(s): Fox CS, Larson MG, Leip EP, Culleton B, Wilson PW,

Abstract Share this page

Abstract CONTEXT: Kidney disease is associated with an increased risk for the development of cardiovascular disease and end-stage renal disease; however, risk factors for kidney disease have not been well studied. OBJECTIVE: To identify predictors of the development of new-onset kidney disease. DESIGN, SETTING, AND PARTICIPANTS: A community-based, longitudinal cohort study of 2585 participants who attended both a baseline examination in 1978-1982 and a follow-up examination in 1998-2001, and who were free of kidney disease at baseline. MAIN OUTCOME MEASURES: Kidney disease was assessed by the Modification of Diet in Renal Disease Study equation and defined by a glomerular filtration rate (GFR) in the fifth or lower percentile (< or =59.25 mL/min per 1.73 m2 in women, < or =64.25 mL/min per 1.73 m2 in men). Stepwise logistic regression was used to determine the impact of risk factors on the occurrence of new-onset kidney disease. Baseline and long-term, 12-year, averaged risk factor models were explored. RESULTS: At baseline, there were 1223 men and 1362 women, with a mean age of 43 years, who were free of preexisting kidney disease. After a mean follow-up of 18.5 years, 244 participants (9.4\%) had developed kidney disease. In multivariable models, baseline age (odds ratio [OR], 2.36 per 10-year increment; 95\% confidence interval [CI], 2.00-2.78), GFR (<90 mL/min per 1.73 m2: OR, 3.01; 95\% CI, 1.98-4.58; 90-119 mL/min per 1.73 m2: OR, 1.84; 95\% CI, 1.16-2.93), body mass index (OR, 1.23 per 1 SD; 95\% CI, 1.08-1.41), diabetes (OR, 2.60; 95\% CI, 1.44-4.70), and smoking (OR, 1.42; 95\% CI, 1.06-1.91) were related to the development of kidney disease. In addition to baseline age and GFR, the long-term, averaged risk factors that were predictive of kidney disease included hypertension (OR, 1.57; 95\% CI, 1.17-2.12), high-density lipoprotein cholesterol level (OR, 0.80 per 1 SD; 95\% CI, 0.69-0.92), and diabetes (OR, 2.38; 95\% CI, 1.45-3.92). Compared with a normal GFR (> or =120 mL/min per 1.73 m2), a mildly reduced GFR (<90 mL/min per 1.73 m2) predicted a 3-fold odds of progression to kidney disease (OR, 2.95; 95\% CI, 1.94-4.49). CONCLUSIONS: Established cardiovascular disease risk factors are associated with the development of new-onset kidney disease. Patients with a mildly reduced GFR should be monitored for progression to kidney disease. This article was published in JAMA and referenced in Journal of Nephrology & Therapeutics

Relevant Expert PPTs

Recommended Conferences

  • 15th International Conference on Nephrology & Therapeutics
    August 28-30, 2017 Philadelphia, USA
  • 16th European Nephrology Conference
    October 02-04, 2017 Barcelona, Spain
  • 16th European Nephrology Conference
    October 02-04, 2017 Barcelona, Spain
  • World Nephrology Congress
    Osaka, Japan Oct 09-11, 2017
  • 13th World Nephrology Conference
    October 18-19, 2017 Dubai,UAE
  • 16th International Conference on Nephrology
    NOVEMBER 02-03, 2017 Atlanta, USA

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

agrifoodaquavet@omicsonline.com

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

clinical_biochem@omicsonline.com

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

business@omicsonline.com

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

chemicaleng_chemistry@omicsonline.com

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

environmentalsci@omicsonline.com

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

engineering@omicsonline.com

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

generalsci_healthcare@omicsonline.com

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

genetics_molbio@omicsonline.com

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

immuno_microbio@omicsonline.com

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

omics@omicsonline.com

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

materialsci@omicsonline.com

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

mathematics_physics@omicsonline.com

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

medical@omicsonline.com

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

neuro_psychology@omicsonline.com

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

pharma@omicsonline.com

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

social_politicalsci@omicsonline.com

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version