Incidence of end-stage renal disease attributed to diabetes among persons with diagnosed diabetes — United States and Puerto Rico, 2000–2014

Morbidity and Mortality Weekly Report

Volumn 66, Issue 43, 2017, Pages 1165-1170

  Burrows, Nilka Rios ^a   Hora, Israel ^a   Geiss, Linda S ^a   Gregg, Edward W ^a   Albright, Ann ^a  

^a NATIONAL CENTER FOR CHRONIC DISEASE PREVENTION AND HEALTH PROMOTION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; BEHAVIORAL RISK FACTOR SURVEILLANCE SYSTEM; DIABETES COMPLICATIONS; HUMAN; INCIDENCE; KIDNEY FAILURE, CHRONIC; PUERTO RICO; RISK FACTOR; UNITED STATES;

ADULT; BEHAVIORAL RISK FACTOR SURVEILLANCE SYSTEM; DIABETES COMPLICATIONS; HUMANS; INCIDENCE; KIDNEY FAILURE, CHRONIC; PUERTO RICO; RISK FACTORS; UNITED STATES;

EID: 85032964894     PISSN: 01492195     EISSN: 1545861X     Source Type: Journal    
DOI: 10.15585/mmwr.mm6643a2     Document Type: Article

References (10)

1. United States Renal Data System (USRDS). 2017 USRDS annual data report: epidemiology of kidney disease in the United States. Bethesda, MD: US Department of Health and Human Services, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases; 2016. https://www.usrds.org/adr.aspx
2. CDC. U.S. Diabetes Surveillance System. Atlanta, GA: US Department of Health and Human Services, CDC; 2017. https://gis.cdc.gov/grasp/ diabetes/DiabetesAtlas.html
3. Gregg EW, Li Y, Wang J, et al. Changes in diabetes-related complications in the United States, 1990–2010. N Engl J Med 2014;370:1514–23. https://doi.org/10.1056/NEJMoa1310799
4. CDC. Surveillance Resource Center: methodologic changes in the Behavioral Risk Factor Surveillance System in 2011 and potential effects on prevalence estimates. Atlanta, GA: US Department of Health and Human Services, CDC; 2013. https://www.cdc.gov/surveillancepractice/reports/brfss/brfss.html
5. Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 2000;19:335–51. https://doi.org/10.1002/(SICI)1097-0258(20000215)19:3<335::AID-SIM336>3.0.CO;2-Z
6. Afkarian M, Zelnick LR, Hall YN, et al. Clinical manifestations of kidney disease among US adults with diabetes, 1988–2014. JAMA 2016;316:602–10. https://doi.org/10.1001/jama.2016.10924
7. CDC. National chronic kidney disease fact sheet, 2017. Atlanta, GA: US Department of Health and Human Services, CDC; 2017. https://www.cdc.gov/diabetes/pubs/pdf/kidney_factsheet.pdf 8. American Diabetes Association. Standard of medical care in diabetes—2017. Diabetes Care 2017;40(Suppl 1):S75–98.
8. Albright AL, Gregg EW; National Diabetes Prevention Program. Preventing type 2 diabetes in communities across the U.S.: the National Diabetes Prevention Program. Am J Prev Med 2013;44(Suppl 4):S346–51. https://doi.org/10.1016/j.amepre.2012.12.009
9. Saydah SH, Geiss LS, Tierney E, Benjamin SM, Engelgau M, Brancati F. Review of the performance of methods to identify diabetes cases among vital statistics, administrative, and survey data. Ann Epidemiol 2004;14:507–16. https://doi.org/10.1016/j.annepidem.2003.09.016
10. Saydah SH, Geiss LS, Tierney E, Benjamin SM, Engelgau M, Brancati F. Review of the performance of methods to identify diabetes cases among vital statistics, administrative, and survey data. Ann Epidemiol 2004;14:507–16. https://doi.org/10.1016/j.annepidem.2003.09.016