Literature DB >> 26676090

Validation of an Albuminuria Self-assessment Tool in the Multi-Ethnic Study of Atherosclerosis.

Rikki M Tanner1, Mark Woodward2, Carmen Peralta3, David G Warnock4, Orlando Gutiérrez4, Daichi Shimbo5, Holly Kramer6, Ronit Katz7, Paul Muntner8.   

Abstract

OBJECTIVE: We previously developed an 8-item self-assessment tool to identify individuals with a high probability of having albuminuria. This tool was developed and externally validated among non-Hispanic Whites and non-Hispanic Blacks. We sought to validate it in a multi-ethnic cohort that also included Hispanics and Chinese Americans.
DESIGN: This is a cross-sectional study.
SETTING: Data were collected using standardized questionnaires and spot urine samples at a baseline examination in 2000-2002. The 8 items in the self-assessment tool include age, race, gender, current cigarette smoking, history of diabetes, hypertension, or stroke, and self-rated health. PARTICIPANTS: Of 6,814 community-dwelling adults aged 45-84 years participating in the Multi-Ethnic Study of Atherosclerosis (MESA), 6,542 were included in the primary analysis. MAIN OUTCOME MEASURES: Albuminuria was defined as urine albumin-to-creatinine ratio ≥ 30 mg/g at baseline.
RESULTS: Among non-Hispanic Whites, non-Hispanic Blacks, Hispanics, and Chinese Americans, the prevalence of albuminuria was 6.0%, 11.3%, 11.6%, and 10.8%, respectively. The c-statistic for discriminating participants with and without albuminuria was .731 (95% CI: .692, .771), .728 (95% CI: .687, .761), .747 (95% CI: .709, .784), and .761 (95% CI: .699, .814) for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, and Chinese Americans, respectively. The self-assessment tool over-estimated the probability of albuminuria for non-Hispanic Whites and Blacks, but was well-calibrated for Hispanics and Chinese Americans.
CONCLUSIONS: The albuminuria self-assessment tool maintained good test characteristics in this large multi-ethnic cohort, suggesting it may be helpful for increasing awareness of albuminuria in an ethnically diverse population.

Entities:  

Keywords:  Albuminuria; Ethnicity; Kidney Disease; Race; Racial Disparities; Screening; Self-assessment

Mesh:

Year:  2015        PMID: 26676090      PMCID: PMC4671433          DOI: 10.18865/ed.25.4.427

Source DB:  PubMed          Journal:  Ethn Dis        ISSN: 1049-510X            Impact factor:   1.847


  34 in total

1.  Predictors of incident albuminuria in the Framingham Offspring cohort.

Authors:  Conall M O'Seaghdha; Shih-Jen Hwang; Ashish Upadhyay; James B Meigs; Caroline S Fox
Journal:  Am J Kidney Dis       Date:  2010-11       Impact factor: 8.860

2.  A health policy model of CKD: 2. The cost-effectiveness of microalbuminuria screening.

Authors:  Thomas J Hoerger; John S Wittenborn; Joel E Segel; Nilka R Burrows; Kumiko Imai; Paul Eggers; Meda E Pavkov; Regina Jordan; Susan M Hailpern; Anton C Schoolwerth; Desmond E Williams
Journal:  Am J Kidney Dis       Date:  2010-02-08       Impact factor: 8.860

3.  Age-related associations of hypertension and diabetes mellitus with chronic kidney disease.

Authors:  Tareq M Islam; Caroline S Fox; Devin Mann; Paul Muntner
Journal:  BMC Nephrol       Date:  2009-06-30       Impact factor: 2.388

4.  Screening to prevent renal failure in insulin dependent diabetic patients: an economic evaluation.

Authors:  B A Kiberd; K K Jindal
Journal:  BMJ       Date:  1995-12-16

5.  Healthy behaviors, risk factor control and awareness of chronic kidney disease.

Authors:  Delphine S Tuot; Laura C Plantinga; Suzanne E Judd; Paul Muntner; Chi-Yuan Hsu; David G Warnock; Orlando M Gutiérrez; Monika Safford; Neil R Powe; William M McClellan
Journal:  Am J Nephrol       Date:  2013-01-31       Impact factor: 3.754

6.  Association of cigarette smoking with albuminuria in the United States: the third National Health and Nutrition Examination Survey.

Authors:  Susan L Hogan; Suma Vupputuri; Xuguang Guo; Jianwen Cai; Romulo E Colindres; Gerardo Heiss; Josef Coresh
Journal:  Ren Fail       Date:  2007       Impact factor: 2.606

7.  Awareness of kidney disease among US adults: Findings from the 2011 behavioral risk factor surveillance system.

Authors:  Chaoyang Li; Xiao-Jun Wen; Meda E Pavkov; Guixiang Zhao; Lina S Balluz; Earl S Ford; Desmond Williams; Carol A Gotway
Journal:  Am J Nephrol       Date:  2014-04-12       Impact factor: 3.754

8.  Gender differences in health and health care utilisation in various ethnic groups in the Netherlands: a cross-sectional study.

Authors:  Annette A M Gerritsen; Walter L Devillé
Journal:  BMC Public Health       Date:  2009-04-20       Impact factor: 3.295

9.  Association of race/ethnicity, inflammation, and albuminuria in patients with diabetes and early chronic kidney disease.

Authors:  Satyesh K Sinha; Magda Shaheen; Tripathi B Rajavashisth; Deyu Pan; Keith C Norris; Susanne B Nicholas
Journal:  Diabetes Care       Date:  2014-02-18       Impact factor: 19.112

10.  Chronic kidney disease in homeless persons in Mexico.

Authors:  Guillermo Garcia-Garcia; Alfonso J Gutiérrez-Padilla; Karina Renoirte-Lopez; Martha Mendoza-Garcia; Ma C Oseguera-Vizcaino; Hector R Perez-Gomez; J Mario Marquez-Amezcua; Marcello Tonelli
Journal:  Kidney Int Suppl (2011)       Date:  2013-05
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.