Literature DB >> 18359404

Diabetes mellitus in CKD: Kidney Early Evaluation Program (KEEP) and National Health and Nutrition and Examination Survey (NHANES) 1999-2004.

Adam T Whaley-Connell1, James R Sowers, Samy I McFarlane, Keith C Norris, Shu-Cheng Chen, Suying Li, Yang Qiu, Changchun Wang, Lesley A Stevens, Joseph A Vassalotti, Allan J Collins.   

Abstract

BACKGROUND: Diabetes mellitus is the leading cause of chronic kidney disease (CKD) and contributes to increased morbidity and mortality in the CKD population. Early diabetes identification through targeted screening programs is important for the development of preventive strategies.
METHODS: This is a cross-sectional analysis of the National Kidney Foundation Kidney Early Evaluation Program (KEEP) data and National Health and Nutrition and Examination Survey (NHANES) 1999-2004 data. KEEP is a community-based health-screening program enrolling individuals 18 years or older with diabetes, hypertension, or family history of kidney disease, diabetes, or hypertension. Study participants were those identified as meeting these inclusion criteria. Participants who had received kidney transplants or were currently receiving dialysis therapy were excluded.
RESULTS: Of 73,460 KEEP participants, 20,562 (28.0%) had diabetes compared with 1,545 of 17,049 (6.7%) NHANES participants. Age, obesity, high cholesterol level, hypertension, and cardiovascular disease distributions were similar for patients with diabetes in both populations, whereas women and African Americans were overrepresented in KEEP. The prevalence of diabetes in KEEP progressively increased with increasing stage of CKD, and this relationship persisted in subgroup analyses of older participants (age > 46 years), as well as in analyses stratified by sex, race, and other CKD risk factors: current tobacco use, obesity, hypertension, cardiovascular disease, and increased cholesterol level. KEEP participants with CKD who reported having diabetes were unlikely to have met target blood glucose levels (odds ratio, 0.71; 95% confidence interval, 0.66 to 0.77; P < 0.001). Reporting not having diabetes was associated with the likelihood of increased blood glucose levels (odds ratio, 1.28; 95% confidence interval, 1.16 to 1.41; P < 0.001).
CONCLUSION: KEEP is congruent with NHANES regarding a greater prevalence of diabetes in patients with CKD. As a targeted screening program, KEEP may represent a higher risk and more motivated patient population.

Entities:  

Mesh:

Year:  2008        PMID: 18359404     DOI: 10.1053/j.ajkd.2007.12.013

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  19 in total

1.  A Case for Early Screening for Diabetic Kidney Disease.

Authors:  Adam Whaley-Connell; Kunal Chaudhary; Madhukar Misra; Ramesh Khanna
Journal:  Cardiorenal Med       Date:  2011-10-05       Impact factor: 2.041

Review 2.  Cardiovascular disease in chronic kidney disease: data from the Kidney Early Evaluation Program (KEEP).

Authors:  Peter A McCullough; Susan Steigerwalt; Kirit Tolia; Shu-Cheng Chen; Suying Li; Keith C Norris; Adam Whaley-Connell
Journal:  Curr Diab Rep       Date:  2011-02       Impact factor: 4.810

3.  Racial and ethnic differences in albuminuria in individuals with estimated GFR greater than 60 mL/min/1.73 m(2): results from the Kidney Early Evaluation Program (KEEP).

Authors:  Stacey E Jolly; Nilka Ríos Burrows; Shu-Cheng Chen; Suying Li; Claudine T Jurkovitz; Andrew S Narva; Keith C Norris; Michael G Shlipak
Journal:  Am J Kidney Dis       Date:  2010-03       Impact factor: 8.860

4.  Aichi cohort study of the prognosis in patients newly initiated into dialysis (AICOPP): baseline characteristics and trends observed in diabetic nephropathy.

Authors:  Manabu Hishida; Hirofumi Tamai; Takatoshi Morinaga; Michitaka Maekawa; Takafumi Aoki; Hidetaka Tomida; Shintaro Komatsu; Tomoaki Kamiya; Shoichi Maruyama; Seiichi Matsuo; Daijo Inaguma
Journal:  Clin Exp Nephrol       Date:  2016-02-23       Impact factor: 2.801

5.  Adipose phenotype predicts early human autogenous arteriovenous hemodialysis remodeling.

Authors:  Christine R Mauro; Kui Ding; Hui Xue; Ming Tao; Alban Longchamp; Michael Belkin; Bruce S Kristal; C Keith Ozaki
Journal:  J Vasc Surg       Date:  2014-09-26       Impact factor: 4.268

6.  Cystatin C, mortality risk and clinical triage in US adults: threshold values and hierarchical importance.

Authors:  Robert N Foley; Changchun Wang; Allan J Collins
Journal:  Nephrol Dial Transplant       Date:  2010-10-20       Impact factor: 5.992

7.  Neighborhood socioeconomic status, race, and mortality in young adult dialysis patients.

Authors:  Tanya S Johns; Michelle M Estrella; Deidra C Crews; Lawrence J Appel; Cheryl A M Anderson; Patti L Ephraim; Courtney Cook; L Ebony Boulware
Journal:  J Am Soc Nephrol       Date:  2014-06-12       Impact factor: 10.121

8.  Anemia and associated clinical outcomes in patients with heart failure due to reduced left ventricular systolic function.

Authors:  Peter A McCullough; Denise Barnard; Robert Clare; Stephen J Ellis; Jerome L Fleg; Gregg C Fonarow; Barry A Franklin; Ryan D Kilpatrick; Dalane W Kitzman; Christopher M O'Connor; Ileana L Piña; Udho Thadani; Vinay Thohan; David J Whellan
Journal:  Clin Cardiol       Date:  2013-08-08       Impact factor: 2.882

Review 9.  The importance of early identification of chronic kidney disease.

Authors:  Adam Whaley-Connell; Ravi Nistala; Kunal Chaudhary
Journal:  Mo Med       Date:  2011 Jan-Feb

10.  Longitudinal trends and influence of BMI mismatch in living kidney donors and their recipients.

Authors:  Julie Lin; Molly E McGovern; Steven M Brunelli; Peter Gaccione; Sayeed Malek; Stefan G Tullius; Anil K Chandraker; Edgar L Milford
Journal:  Int Urol Nephrol       Date:  2011-03-08       Impact factor: 2.370

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