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Published in: Acta Diabetologica 4/2008

01-12-2008 | Original Article

Development of a predictive model for early death in diabetic patients entering hemodialysis: a population-based study

Authors: J. M. Mauri, E. Vela, M. Clèries

Published in: Acta Diabetologica | Issue 4/2008

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Abstract

The aim of this study was to investigate whether early death following the start of dialysis treatment can be explained by predialysis comorbid conditions, and to develop a prognostic model to predict early death in these patients. All patients with diabetes mellitus (DM) over 19 years of age entering hemodialysis in Catalonia in the 1997–2002 period (n = 1,365) were assessed from prospectively obtained data in the Catalan Renal Registry. Logistic regression was used to identify the risk factors associated with mortality at 3, 6 and 12 months of hemodialysis. Mortality at 3 months was found to be associated with age (RR: 1.53/10 years), low grades of functional autonomy, defined as “limited” (RR: 2.28) or “special care” (RR: 4.60), heart disease (RR: 2.23), and use of a catheter as the first vascular access (RR: 2.45). Malignant conditions and malnutrition were found to be additional significant risk factors for mortality at 12 months (RR: 1.68 and 1.74, respectively). Based on the multivariate analysis results, an individual prognostic model was formulated. This study confirms previous data suggesting that predialysis comorbid conditions are significantly associated with mortality in DM patients on dialysis and provides a prognostic model to help clinicians focus on various factors that may require attention before initiating this treatment.
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Literature
1.
go back to reference Rayner HG, Pisoni RL, Bommer J, Canaud B, Hecking E, Locatelli F, Piera L, Bragg-Gresham JL, Feldman HI, Goodkin DA, Gillespie B, Wolfe RA, Held PJ, Port FK (2004) Mortality and hospitalization in haemodialysis patients in five European countries: results from the dialysis outcomes and practice patterns study (DOPPS). Nephrol Dial Transplant 19:108–120PubMedCrossRef Rayner HG, Pisoni RL, Bommer J, Canaud B, Hecking E, Locatelli F, Piera L, Bragg-Gresham JL, Feldman HI, Goodkin DA, Gillespie B, Wolfe RA, Held PJ, Port FK (2004) Mortality and hospitalization in haemodialysis patients in five European countries: results from the dialysis outcomes and practice patterns study (DOPPS). Nephrol Dial Transplant 19:108–120PubMedCrossRef
2.
go back to reference U.S. Renal Data System (2005) USRDS 2005 annual data report: atlas of end-stage renal disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD. http://www.usrds.org/adr.htm U.S. Renal Data System (2005) USRDS 2005 annual data report: atlas of end-stage renal disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD. http://​www.​usrds.​org/​adr.​htm
5.
go back to reference Van Dijk PC, Jager KJ, Stengel B, Gronhagen-Riska C, Feest TG, Briggs JD (2005) Renal replacement therapy for diabetic end-stage renal disease: data from 10 registries in Europe (1991–2000). Kindney Int 67:1489–1499CrossRef Van Dijk PC, Jager KJ, Stengel B, Gronhagen-Riska C, Feest TG, Briggs JD (2005) Renal replacement therapy for diabetic end-stage renal disease: data from 10 registries in Europe (1991–2000). Kindney Int 67:1489–1499CrossRef
6.
go back to reference Rodríguez JA, Clèries M, Vela E, Renal Registry Committee (1997) Diabetic patients on renal replacement therapy: analysis of Catalan Registry data. Nephrol Dial Transplant 12:2501–2509PubMedCrossRef Rodríguez JA, Clèries M, Vela E, Renal Registry Committee (1997) Diabetic patients on renal replacement therapy: analysis of Catalan Registry data. Nephrol Dial Transplant 12:2501–2509PubMedCrossRef
8.
go back to reference Khan I (1998) Co-morbidity: the major challenge for survival and quality of life in end-stage renal disease. Nephrol Dial Transplant 13:76–79PubMedCrossRef Khan I (1998) Co-morbidity: the major challenge for survival and quality of life in end-stage renal disease. Nephrol Dial Transplant 13:76–79PubMedCrossRef
9.
go back to reference Miskulin DC, Meyer KB, Martin AA, Fink NE, Coresh J, Powe NR, Klag MJ, Levey AS, for the Choices for Healthy Outcomes in Caring for End-Stage-Renal-Disease (CHOICE) Study (2003) Comorbidity and its change predict survival in incident dialysis patients. Am J Kidney Dis 41:149–161PubMedCrossRef Miskulin DC, Meyer KB, Martin AA, Fink NE, Coresh J, Powe NR, Klag MJ, Levey AS, for the Choices for Healthy Outcomes in Caring for End-Stage-Renal-Disease (CHOICE) Study (2003) Comorbidity and its change predict survival in incident dialysis patients. Am J Kidney Dis 41:149–161PubMedCrossRef
10.
go back to reference Koch M, Thomas B, Tschope W, Ritz E (1993) Survival and predictors of death in dialysed diabetic patients. Diabetologia 76:1113–1117CrossRef Koch M, Thomas B, Tschope W, Ritz E (1993) Survival and predictors of death in dialysed diabetic patients. Diabetologia 76:1113–1117CrossRef
11.
go back to reference Morioka T, Emoto M, Tabata T, Shoji T, Tahara H, Kishimoto H, Nishisawa E, Ishimura Y (2001) Glycemic control is a predictor of survival for diabetic patients on hemodialysis. Diabetes Care 24:909–913PubMedCrossRef Morioka T, Emoto M, Tabata T, Shoji T, Tahara H, Kishimoto H, Nishisawa E, Ishimura Y (2001) Glycemic control is a predictor of survival for diabetic patients on hemodialysis. Diabetes Care 24:909–913PubMedCrossRef
12.
go back to reference Gutman RA, Stead WW, Robinson RR (1981) Physical activity and employment status of patients on maintenance dialysis. N Engl J Med 304:309–313PubMed Gutman RA, Stead WW, Robinson RR (1981) Physical activity and employment status of patients on maintenance dialysis. N Engl J Med 304:309–313PubMed
13.
go back to reference Hosmer DW, Lemeshow S (1989) Applied logistic regression. Wiley, New York Hosmer DW, Lemeshow S (1989) Applied logistic regression. Wiley, New York
14.
go back to reference Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating characteristics (ROC) curve. Radiology 153:29–36 Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating characteristics (ROC) curve. Radiology 153:29–36
15.
go back to reference Kazmi WH, Obrador GT, Khan SS, Pereira BJ, Kausz AT (2004) Late nephrology referral and mortality among patients with end-stage renal disease: a propensity score analysis. Nephrol Dial Transplant 19:1671–1673CrossRef Kazmi WH, Obrador GT, Khan SS, Pereira BJ, Kausz AT (2004) Late nephrology referral and mortality among patients with end-stage renal disease: a propensity score analysis. Nephrol Dial Transplant 19:1671–1673CrossRef
16.
go back to reference Ritz E (2005) Managing and diabetes: a future challenge for nephrologists. Nephrol Dial Transplant 20:vi21–vi25PubMedCrossRef Ritz E (2005) Managing and diabetes: a future challenge for nephrologists. Nephrol Dial Transplant 20:vi21–vi25PubMedCrossRef
17.
go back to reference Lameire N, Van Biesem W (1999) The pattern of referral of patients with end-stage renal disease to the nephrologist—a Europe survey. Nephrol Dial Transplant 14:16–23PubMedCrossRef Lameire N, Van Biesem W (1999) The pattern of referral of patients with end-stage renal disease to the nephrologist—a Europe survey. Nephrol Dial Transplant 14:16–23PubMedCrossRef
18.
go back to reference Mauri JM, Clèries M, Vela E, Catalan Registry of Renals Patients (2005) Mortality risk factors for the first year of hemodialysis treatment in Catalonia. Nephrol Dial Transplant 20:v295 (Abstract) Mauri JM, Clèries M, Vela E, Catalan Registry of Renals Patients (2005) Mortality risk factors for the first year of hemodialysis treatment in Catalonia. Nephrol Dial Transplant 20:v295 (Abstract)
19.
go back to reference Xue JL, Dahl D, Ebben JB, Collins AJ (2003) The association of initial hemodialysis access type with mortality. Outcomes in elderly. Medicare ESRD patients. Am J Kidney Dis 42:1013–1019PubMedCrossRef Xue JL, Dahl D, Ebben JB, Collins AJ (2003) The association of initial hemodialysis access type with mortality. Outcomes in elderly. Medicare ESRD patients. Am J Kidney Dis 42:1013–1019PubMedCrossRef
20.
go back to reference Lorenzo V, Martin M, Rufino M, Hernández D, Torres A, Ayus JC (2004) Predialysis nephrologic care and functioning arteriovenous fistula at entry are associated with better survival in incident hemodialysis patients: an observational cohort study. Am J Kidney Dis 43:999–1007PubMedCrossRef Lorenzo V, Martin M, Rufino M, Hernández D, Torres A, Ayus JC (2004) Predialysis nephrologic care and functioning arteriovenous fistula at entry are associated with better survival in incident hemodialysis patients: an observational cohort study. Am J Kidney Dis 43:999–1007PubMedCrossRef
21.
go back to reference Van Manen JG, Korevaar JC, Dekker FW, Boeschoten EW, Bossuyt PMM, Krediet RT, for the Necosad Study Group (2003) Adjustment for comorbidity in studies on health status in ESRD patients: which comorbidity index to use? J Am Soc Nephrol 14:478–485PubMedCrossRef Van Manen JG, Korevaar JC, Dekker FW, Boeschoten EW, Bossuyt PMM, Krediet RT, for the Necosad Study Group (2003) Adjustment for comorbidity in studies on health status in ESRD patients: which comorbidity index to use? J Am Soc Nephrol 14:478–485PubMedCrossRef
22.
go back to reference Hemmelgarn BR, Mabbs BJ, Quan H, Ghali WA (2003) Adapting the Charlson comorbidity index for use in patients with ESRD. Am J Kidney Dis 42:125–132PubMedCrossRef Hemmelgarn BR, Mabbs BJ, Quan H, Ghali WA (2003) Adapting the Charlson comorbidity index for use in patients with ESRD. Am J Kidney Dis 42:125–132PubMedCrossRef
23.
go back to reference Miskulin DC, Martin AA, Brown R, Fink NE, Coresh J, Powe NR, Zager PG, Meyer KB, Levey AS, the Medical Directors of Dialysis Clinic, Inc (2004) Predicting one-year mortality in an outpatients haemodialysis population; a comparison of co-morbidity instruments. Nephrol Dial Transplant 19:413–420PubMedCrossRef Miskulin DC, Martin AA, Brown R, Fink NE, Coresh J, Powe NR, Zager PG, Meyer KB, Levey AS, the Medical Directors of Dialysis Clinic, Inc (2004) Predicting one-year mortality in an outpatients haemodialysis population; a comparison of co-morbidity instruments. Nephrol Dial Transplant 19:413–420PubMedCrossRef
24.
go back to reference Aubia J, Puig JM, Clèries M, Vidal C, Vela E, Salvador X, Ramis O (1991) Cómo validar un registro de enfermos renales: consideraciones a propósito del audit del Registro de enfermos renales de Catalunya. Nefrologia XI:332–339 Aubia J, Puig JM, Clèries M, Vidal C, Vela E, Salvador X, Ramis O (1991) Cómo validar un registro de enfermos renales: consideraciones a propósito del audit del Registro de enfermos renales de Catalunya. Nefrologia XI:332–339
25.
go back to reference Schuchter L, Schultz DJ, Synnestvedt M, Trock BJ, Guerry D, Elder DE, Elenitsas R, Clark WH, Halpern AC (1996) A prognostic model for predicting 10-year survival in patients with primary melanoma. Ann Intern Med 125:369–375PubMed Schuchter L, Schultz DJ, Synnestvedt M, Trock BJ, Guerry D, Elder DE, Elenitsas R, Clark WH, Halpern AC (1996) A prognostic model for predicting 10-year survival in patients with primary melanoma. Ann Intern Med 125:369–375PubMed
Metadata
Title
Development of a predictive model for early death in diabetic patients entering hemodialysis: a population-based study
Authors
J. M. Mauri
E. Vela
M. Clèries
Publication date
01-12-2008
Publisher
Springer Milan
Published in
Acta Diabetologica / Issue 4/2008
Print ISSN: 0940-5429
Electronic ISSN: 1432-5233
DOI
https://doi.org/10.1007/s00592-008-0043-x

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