A Health Policy Model of CKD: 1. Model Construction, Assumptions, and Validation of Health Consequences

American Journal of Kidney Diseases

Volumn 55, Issue 3, 2010, Pages 452-462

  Hoerger, Thomas J ^a   Wittenborn, John S ^a   Segel, Joel E ^a   Burrows, Nilka R ^b   Imai, Kumiko ^c   Eggers, Paul ^d   Pavkov, Meda E ^b   Jordan, Regina ^b   Hailpern, Susan M ^b   Schoolwerth, Anton C ^e   Williams, Desmond E ^b  

^a RTI INTERNATIONAL   (United States)

^b CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

^c Mbabane   (United States)

^d NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES   (United States)

^e DARTMOUTH HITCHCOCK MEDICAL CENTER   (United States)

Author keywords

Chronic kidney disease; cost effectiveness; model; validation

Indexed keywords

ALBUMINURIA; ARTICLE; CHRONIC KIDNEY DISEASE; DISEASE COURSE; GLOMERULUS FILTRATION RATE; HEALTH CARE POLICY; HEART INFARCTION; INCIDENCE; KIDNEY FAILURE; RISK FACTOR; SIMULATION; STROKE;

ADULT; ALBUMINURIA; CHRONIC DISEASE; COST-BENEFIT ANALYSIS; DISEASE PROGRESSION; FEMALE; HEALTH POLICY; HUMANS; INCIDENCE; KIDNEY DISEASES; MALE; MODELS, THEORETICAL;

EID: 77049106540     PISSN: 02726386     EISSN: None     Source Type: Journal    
DOI: 10.1053/j.ajkd.2009.11.016     Document Type: Article

References (39)

1. Coresh J., Selvin E., Stevens L., et al. Prevalence of chronic kidney disease in the United States. JAMA 298 17 (2007) 2038-2047
2. Snyder J.J., Foley R.N., and Collins A.J. Prevalence of CKD in the United States: a sensitivity analysis using the National Health and Nutrition Examination Survey (NHANES) 1999-2004. Am J Kidney Dis 53 (2009) 218-228
3. US Renal Data System. USRDS 2008 Annual Data Report, vol 3. Reference Tables on End-Stage Renal Disease (2008), National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD. http://www.usrds.org/2008/ref/B_Prevalence_08.pdf Table B.1, p 31. http://www.usrds.org/2008/ref/B_Prevalence_08.pdf. Accessed July 30, 2009
4. US Renal Data System. USRDS 2008 Annual Data Report, vol 2: Atlas of End-Stage Renal Disease (2008), National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD. http://www.usrds.org/2008/pdf/V2_11_2008.pdf Fig 11.1, p 177. http://www.usrds.org/2008/pdf/V2_11_2008.pdf. Accessed July 30, 2009
5. Weiner D.E., Tighiouart H., Amin M.G., et al. Chronic kidney disease as a risk factor for cardiovascular disease and all-cause mortality: A pooled analysis of community-based studies. J Am Soc Nephrol 15 (2004) 1307-1315
6. Go A.S., Chertow G.M., Fan D., McCulloch C.E., and Hsu C. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351 (2004) 1296-1305
7. Smith D.H., Nichols G.A., Gullion C.M., Johnson E.S., and Keith D. Predicting costs of care in chronic kidney disease: The role of comorbid conditions. Internet J Nephrol 4 1 (2007). http://www.ispub.com/ostia/index.php?xmlFilePath=journals/ijne/vol4n1/cost.xml http://www.ispub.com/ostia/index.php?xmlFilePath=journals/ijne/vol4n1/cost.xml. Accessed October 31, 2007
8. US Renal Data System. USRDS 2008 Annual Data Report, vol 1: Atlas of Chronic Kidney Disease (2008), National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD. http://www.usrds.org/2008/pdf/V1_05_2008.pdf Fig 5.2, p 84. http://www.usrds.org/2008/pdf/V1_05_2008.pdf. Accessed July 30, 2009
9. Hoerger T.J., Wittenborn J.S., Segel J.E., et al. A health policy model of CKD. 2: The cost-effectiveness of microalbuminuria screening. Am J Kidney Dis 55 3 (2010) 463-473
10. Boulware L.E., Jaar B.G., Tarver-Carr M.E., Brancati F.L., and Powe N.R. Screening for proteinuria in US adults: a cost-effectiveness analysis. JAMA 290 23 (2003) 3101-3114
11. National Kidney Foundation. Guideline 5: assessment of proteinuria. K/DOQI Clinical Practice Guidelines for Chronic Kidney Disease: evaluation, classification and stratification. Am J Kidney Dis 39 suppl 1 (2002) S93-S102
12. US Census Bureau. Table 4: Annual estimates of the population by sex and age for the United States: April 1, 2000 to July 1, 2007 (NC-EST2007-04-WANH, NC-EST2007-04-BAC, NC-EST2007-04-Hisp) (May 1, 2008), Population Division, US Census Bureau, Washington, DC
13. Adler A.I., Stevens R.J., Manley S.E., et al. Development and progression of nephropathy in type 2 diabetes: the United Kingdom Prospective Diabetes Study (UKPDS 64). Kidney Int 63 (2003) 225-232
14. Mann J.F., Gerstein H.C., Yi Q.L., et al. Development of renal disease in people at high cardiovascular risk: result of the HOPE randomized study. J Am Soc Nephrol 14 (2003) 641-647
15. Cowie C.C., Rust K.F., Bryd-Hold D.D., et al. Prevalence of diabetes and impaired fasting glucose in adults in the U.S. population: National Health and Nutrition Examination Survey 1999-2002. Diabetes Care 29 (2006) 1263-1268
16. Geiss L.S., Pan L., Cadwell B., Gregg E.W., Benjamin S.M., and Engelgau M.M. Changes in incidence of diabetes in US adults, 1997-2003. Am J Prev Med 30 5 (2006) 371-377
17. Maurice E., Trosclair A., and Merritt R. Cigarette smoking among adults-United States, 2004. MMWR Morbid Mortal Wkly Rep 54 44 (2005) 1121-1124
18. Paoletti E., Bellino D., Cassottana P., Rolla D., and Cannella G. Left ventricular hypertrophy in nondiabetic predialysis CKD. Am J Kidney Dis 46 2 (2005) 320-327
19. Cottone S., Nardi E., Mule G., and Vadala A. Association between biomarkers of inflammation and left ventricular hypertrophy in moderate chronic kidney disease. Clin Nephrol 67 4 (2007) 209-216
20. Anderson K.M., Odell P.M., Wilson P.W.F., and Kannel W.B. Cardiovascular disease risk profiles. Am Heart J 121 (1990) 293-298
21. Arias E. United States life tables, 2003. Natl Vital Stat Rep 54 14 (2006). http://www.cdc.gov/nchs/data/nvsr/nvsr54/nvsr54_14.pdf http://www.cdc.gov/nchs/data/nvsr/nvsr54/nvsr54_14.pdf. Accessed July 29, 2009
22. National Center for Health Statistics. Worktable 210R: death rates for 113 selected causes, alcohol-induced causes, drug-induced causes, and injury by firearms by 5-year age groups, race, and sex: United States 2003 (March 2006). http://www.cdc.gov/nchs/data/statab/Mortfinal2003_worktable210r.pdf Accessed July 30, 2007
23. Sacco R.L., Shi T., Zamanillo M.C., and Kargman D.E. Predictors of mortality and recurrence after hospitalized cerebral infarction in an urban community: the Northern Manhattan Stroke Study. Neurology 44 (1994) 626-634
24. Hunink M.G., Goldman L., Tosteson A.N., et al. The recent decline in mortality from coronary heart disease, 1980-1990. The effect of secular trends in risk factors and treatment. JAMA 277 7 (1997) 535-542
25. Weinstein M.C., Coxson P.G., Williams L.W., Pass T.M., Stason W.B., and Goldman L. Forecasting coronary heart disease incidence, mortality, and cost: the coronary heart disease policy model. Am J Public Health 77 11 (1987) 1417-1426
26. Coresh J., Byrd-Holt D., Astor B.C., et al. Chronic kidney disease awareness, prevalence, and trends among US adults, 1999 to 2000. J Am Soc Nephrol 16 (2005) 180-188
27. Levey A.S., Coresh J., Greene T., et al. Using standardized serum creatinine values in the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate. Ann Intern Med 145 (2006) 247-254
28. Hunsicker L.G., Adler S., Caggiula A., et al. Predictors of the progression of renal disease in the Modification of Diet in Renal Disease Study. Kidney Int 51 (1997) 1908-1919
29. National Institutes of Health. Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). NIH Publication 01-3670 (2001), National Institutes of Health, Bethesda, MD
30. Weiner D.E., Tabatabai S., Tighiouart H., et al. Cardiovascular outcomes and all-cause mortality: exploring the interaction between CKD and cardiovascular disease. Am J Kidney Dis 48 (2006) 392-401
31. US Renal Data System (USRDS). RenDER Renal Data Extraction and Referencing System. ESRD death rate per 1,000 patient years. http://www.usrds.org/odr/xrender_home.asp Accessed June 18, 2007
32. Weinstein M.C., O'Brien B., Hornberger J., et al. Principles of good practice for decision analytic modeling in health-care evaluation. Report of the ISPOR task force on good research practices-modeling studies. Value Health 6 (2003) 9-17
33. US Renal Data System. USRDS 2006 Annual Data Report: incidence of Reported ESRD Reference Tables (2006), National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD. http://www.usrds.org/2006/ref/A_incidence_06.pdf Table A.2, p 10. http://www.usrds.org/2006/ref/A_incidence_06.pdf. Accessed July 30, 2009
34. National Kidney Foundation. K/DOQI Clinical Practice Guidelines and Clinical Practice Recommendations for Diabetes and Chronic Kidney Disease. Am J Kidney Dis 49 suppl 2 (2007) S12-S154
35. Murtagh F.E., Marsh J.E., Donohoe P., Ekbal N.J., Sheerin N.S., and Harris F.E. Dialysis or not?. A comparative survival study of patients over 75 years with chronic kidney disease stage 5. Nephrol Dial Transplant 22 (2007) 1955-1962
36. Navaneethan S.D., Nigwekar S., Sengodan M., et al. Referral to nephrologists for chronic kidney disease care: is non-diabetic kidney disease ignored. Nephron Clin Pract 106 (2007) c113-c118
37. Health Care Financing Administration. Medicare coverage of kidney dialysis and kidney transplant services (2008). http://www.medicare.gov/Publications/Pubs/pdf/11360.pdf Accessed October 31, 2008
38. Szklo M., and Nieto E.J. Section 1.2: analysis of age, birth cohort, and period effects. Epidemiology: Beyond the Basics (2000), Aspen Publishers, Gaithersburg, MD 5-16
39. Coca S.G., Yusuf B., Shlipak M.G., Garg A.X., and Parikh C.R. Long-term risk of mortality and other adverse outcomes after acute kidney injury: a systematic review and meta-analysis. Am J Kidney Dis 53 6 (2009) 961-973