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. 2009;30(6):499-504.
doi: 10.1159/000243716. Epub 2009 Sep 30.

Effect of community characteristics on familial clustering of end-stage renal disease

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Effect of community characteristics on familial clustering of end-stage renal disease

Eun-Young Song et al. Am J Nephrol. 2009.

Abstract

Background: Lower socioeconomic status is generally associated with an increased risk of end-stage renal disease (ESRD). The relationship between community characteristics reflecting socioeconomic status and familial aggregation of common forms of ESRD has not been studied.

Methods: Demographic data and family history of ESRD were collected from 23,880 incident dialysis patients in ESRD Network 6 between 1995 and 2003. Addresses were geocoded and linked to the 2000 census 5-digit zip code-level database that includes community demographic, social and economic characteristics. Clustering of patients having a family history of ESRD at the community level was accounted for using a generalized estimating equations (GEE) model. Multivariate analysis estimated associations between family history of ESRD and community-level characteristics.

Results: Twenty-three percent of patients reported a family history of ESRD. After adjusting for individual demographic characteristics, multivariate analyses failed to reveal statistically significant relationships between a family history of ESRD and indicators of community socioeconomic status such as median household income, percentage high school graduates, percentage vacant housing units or ethnic composition.

Conclusions: Although select community measures of lower socioeconomic status may contribute to the familial clustering of ESRD, non-socioeconomic factors, potentially inherited, appear to be more important contributors to familial aggregation of the common forms of ESRD.

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Fig. 1
Fig. 1
Network 6 family history of ESRD study (n = 59,167).

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References

    1. Ward MM. Socioeconomic status and the incidence of ESRD. Am J Kidney Dis. 2008;51:563–572. - PubMed
    1. Ferguson RM, Grim CE, Opgenorth TJ. A familial risk of chronic renal failure among blacks on dialysis? J Clin Epidemiol. 1988;41:1189–1196. - PubMed
    1. Freedman BI, Soucie JM, McClellan WM. Family history of end-stage renal disease among incident dialysis patients. J Am Soc Nephrol. 1997;8:1942–1945. - PubMed
    1. Freedman BI, Volkova NV, Satko SG, et al. Population-based screening for family history of end-stage renal disease among incident dialysis patients. Am J Nephrol. 2005;25:529–535. - PubMed
    1. Chan MR, Dall AT, Fletcher KE, et al. Outcomes in patients with chronic kidney disease referred late to nephrologists: a meta-analysis. Am J Med. 2007;120:1063–1070. - PubMed

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