Competing-risk analysis of ESRD and death among patients with type 1 diabetes and macroalbuminuria

Journal of the American Society of Nephrology

Volumn 22, Issue 3, 2011, Pages 537-544

  Forsblom, Carol ^a,b   Harjutsalo, Valma ^a   Thorn, Lena M ^a,b   Wadén, Johan ^a,b   Tolonen, Nina ^a,b   Saraheimo, Markku ^a,b   Gordin, Daniel ^a,b   Moran, John L ^c   Thomas, Merlin C ^d   Groop, Per Henrik ^a,b,d  

^a UNIVERSITY OF HELSINKI   (Finland)

^b HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

^c QUEEN ELIZABETH HOSPITAL   (Australia)

^d BAKER IDI HEART AND DIABETES INSTITUTE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

HEMOGLOBIN A1C; INSULIN; LOW DENSITY LIPOPROTEIN CHOLESTEROL;

ADULT; ALBUMINURIA; ARTICLE; CHOLESTEROL BLOOD LEVEL; DISEASE DURATION; FEMALE; HEMOGLOBIN BLOOD LEVEL; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; KIDNEY FAILURE; KIDNEY FUNCTION; MAJOR CLINICAL STUDY; MALE; MORTALITY; PREDICTOR VARIABLE; PRIORITY JOURNAL; RISK ASSESSMENT; SEX DIFFERENCE;

EID: 79952330962     PISSN: 10466673     EISSN: 15333450     Source Type: Journal    
DOI: 10.1681/ASN.2010020194     Document Type: Article

References (28)

1. Groop PH, Thomas MC, Moran JL, Wadén J, Thorn LM, Mäkinen V-P, Rosengård-Bärlund M, Saraheimo M, Hietala K, Heikkilä O, Forsblom C: The presence and severity of chronic kidney disease predicts all-cause mortality in type 1 diabetes. Diabetes 58: 1651-1658, 2009
2. Pintilie M: Competing risks: A practical perspective, Chichester, U.K., John Wiley & Sons Ltd., 2006
3. Fine J, Gray RJ: A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 94: 496-509, 1999
4. Pintilie M: Analysing and interpreting competing risk data. Stat Med 26: 1360-1367, 2007
5. Mäkinen V-P, Forsblom C, Thorn LM, Wadén J, Gordin D, Heikkilä O, Hietala K, Kyllönen L, Kytö J, Rosengård- Bärlund M, Saraheimo M, Tolonen N, Parkkonen M, Kaski K, Ala-Korpela M, Groop P-H: Metabolic phenotypes, vascular complications, and premature deaths in a population of 4,197 patients with type 1 diabetes. Diabetes 57: 2480-2487, 2008
6. Thorn LM, Forsblom C, Fagerudd J, Thomas MC, Pettersson- Fernholm K, Saraheimo M, Wadén J, Rönnback M, Rosengård- Bärlund M, Björkesten C-G, Taskinen M-R, Groop P-H: Metabolic syndrome in type 1 diabetes: Association with diabetic nephropathy and glycemic control (the FinnDiane study). Diabetes Care 28: 2019-2024, 2005 (Pubitemid 41060978)
7. Rossing P, Hougaard P, Borch-Johnsen K, Parving HH: Predictors of mortality in insulin dependent diabetes: 10 year observational follow up study. BMJ 313: 779-784, 1996 (Pubitemid 26326878)
8. Beyersmann J, Schumacher M: Time-dependent covariates in the proportional subdistribution hazards model for competing risks. Biostatistics 9: 765-776, 2008
9. Latouche A, Porcher R, Chevret S: A note on including time-dependent covariate in regression model for competing risks data. Biom J 47: 807-814, 2005 (Pubitemid 43037332)
10. Orchard TJ, Olson JC, Erbey JR, Williams K, Forrest KY, Smithline Kinder L, Ellis D, Becker DJ: Insulin resistance-related factors, but not glycemia, predict coronary artery disease in type 1 diabetes: 10-year follow-up data from the Pittsburgh Epidemiology of Diabetes Complications Study. Diabetes Care 26: 1374-1379, 2003 (Pubitemid 36929165)
11. Weis U, Turner B, Gibney J, Watts GF, Burke V, Shaw KM, Cummings MH: Long-term predictors of coronary artery disease and mortality in type 1 diabetes. QJM 94: 623-630, 2001 (Pubitemid 33100211)
12. Nathan DM, Cleary PA, Backlund JY, Genuth SM, Lachin JM, Orchard TJ, Raskin P, Zinman B: Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med 353: 2643-2653, 2005 (Pubitemid 41817713)
13. Patel A, MacMahon S, Chalmers J, Neal B, Billot L, Woodward M, Marre M, Cooper M, Glasziou P, Grobbee D, Hamet P, Harrap S, Heller S, Liu L, Mancia G, Mogensen C-E, Pan C, Poulter N, Rodgers A, Williams B, Bompoint S, de Galan BE, Joshi R, Travert F: Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes. N Engl J Med 358: 2560-2572, 2008 (Pubitemid 351831357)
14. Grunkemeier GL, Jin R, Eijkemans MJ, Takkenberg JJ: Actual and actuarial probabilities of competing risks: Apples and lemons. Ann Thorac Surg 83: 1586-1592, 2007 (Pubitemid 46616757)
15. Skyrme-Jones RA, O'Brien RC, Luo M, Meredith IT: Endothelial vasodilator function is related to low-density lipoprotein particle size and low-density lipoprotein vitamin E content in type 1 diabetes. J Am Coll Cardiol 35: 292-299, 2000 (Pubitemid 30125516)
16. Sibley SD, Hokanson JE, Steffes MW, Purnell JQ, Marcovina SM, Cleary PA, Brunzell JD: Increased small dense LDL and intermediatedensity lipoprotein with albuminuria in type 1 diabetes. Diabetes Care 22: 1165-1170, 1999 (Pubitemid 29293971)
17. Krolewski AS, Warram JH, Christlieb AR: Hypercholesterolemia - a determinant of renal function loss and deaths in IDDM patients with nephropathy. Kidney Int Suppl 45: S125-S131, 1994
18. Kearney PM, Blackwell L, Collins R, Keech A, Simes J, Peto R, Armitage J, Baigent C: Efficacy of cholesterol-lowering therapy in 18,686 people with diabetes in 14 randomised trials of statins: A metaanalysis. Lancet 371: 117-125, 2008
19. Colhoun HM, Betteridge DJ, Durrington PN, Hitman GA, Neil HA, Livingstone SJ, Charlton-Menys V, DeMicco DA, Fuller JH: Effects of atorvastatin on kidney outcomes and cardiovascular disease in patients with diabetes: An analysis from the Collaborative Atorvastatin Diabetes Study (CARDS). Am J Kidney Dis 54: 810-819, 2009
20. Mühlhauser I, Overmann H, Bender R, Jörgens V, Berger M: Predictors of mortality and end-stage diabetic complications in patients with Type 1 diabetes mellitus on intensified insulin therapy. Diabetic Med 17: 727-734, 2007
21. Rosolowsky ET, Skupien J, Smiles AM, Niewczas M, Roshan B, Stanton R, Eckfeldt JH, Warram JH, Krolewski AS: Risk for ESRD in type 1 diabetes remains high despite renoprotection. J Am Soc Nephrol 2010, in press
22. National Kidney Foundation: K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Am J Kidney Dis 39 [2 Suppl 1]: S1-S266, 2002
23. Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, Kusek JW, Van Lente F: Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 145: 247-254, 2006 (Pubitemid 46768608)
24. Gooley TA, Leisenring W, Crowley J, Storer BE: Estimation of failure probabilities in the presence of competing risks: New representations of old estimators. Stat Med 18: 695-706, 1999 (Pubitemid 29126745)
25. Schoenfeld D: Survival methods, including those using competing risk analysis, are not appropriate for intensive care unit outcome studies. Crit Care 10: 103, 2006
26. Royston P, Sauerbrei W: Multivariable model-building: A pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables, Chichester, U.K., John Wiley & Sons Ltd., 2008
27. Ghali WA, Quan H, Brant R, van Melle G, Norris CM, Faris PD, Galbraith PD, Knudtson ML: for the APPROACH (Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease) Investigators: Comparison of 2 methods for calculating adjusted survival curves from proportional hazards models. JAMA 286: 1494-1497, 2001
28. Norton EC, Wang H, Ai C: Computing interaction effects and standard errors in logit and probit models. Stata J 4: 154-167, 2004