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Volumn 20, Issue 6, 2007, Pages 696-702

A mediterranean age-comorbidity prognostic index for survival in dialysis populations

Author keywords

Heart failure in dialysis patients; Ischemic heart disease in dialysis; Mediterranean age comorbidity prognostic index; Older dialysis patients

Indexed keywords

ADULT; AGE COMORBIDITY PROGNOSTIC INDEX; AGE DISTRIBUTION; AGED; ARTICLE; COMORBIDITY; DISEASE FREE SURVIVAL; FEMALE; HEART FAILURE; HEMODIALYSIS; HIGH RISK POPULATION; HUMAN; ISCHEMIC HEART DISEASE; KIDNEY DISEASE; KIDNEY FAILURE; MAJOR CLINICAL STUDY; MALE; PERITONEAL DIALYSIS; PROBABILITY; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; RATING SCALE; SURVIVAL TIME;

EID: 39449129589     PISSN: 11218428     EISSN: 17246059     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (8)

References (22)
  • 1
    • 0033762023 scopus 로고    scopus 로고
    • Use of comorbidity scores for control of confounding in studies using administrative data-bases
    • Schneeweiss S, Maclure M. Use of comorbidity scores for control of confounding in studies using administrative data-bases. Int J Epidemiol 2000; 29: 891-8.
    • (2000) Int J Epidemiol , vol.29 , pp. 891-898
    • Schneeweiss, S.1    Maclure, M.2
  • 2
    • 0026092194 scopus 로고
    • Survival in patients with end-stage renal disease
    • Wright LF. Survival in patients with end-stage renal disease. Am J Kidney Dis 1991; 17: 25-8.
    • (1991) Am J Kidney Dis , vol.17 , pp. 25-28
    • Wright, L.F.1
  • 4
    • 0023092594 scopus 로고
    • A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
    • Charlson ME, Pompei P, Ales KL, Mackenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J Chron Dis 1987; 40: 373-83.
    • (1987) J Chron Dis , vol.40 , pp. 373-383
    • Charlson, M.E.1    Pompei, P.2    Ales, K.L.3    Mackenzie, C.R.4
  • 7
    • 39449104452 scopus 로고    scopus 로고
    • US Renal Data System. USRDS 2001 annual data report. Bethesda, MD (USA): National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases 2001.
    • US Renal Data System. USRDS 2001 annual data report. Bethesda, MD (USA): National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases 2001.
  • 10
    • 0027962377 scopus 로고
    • Influence of co-morbidity on mortality and morbidity in patients treated with hemodialysis
    • Keane WF, Collins AJ. Influence of co-morbidity on mortality and morbidity in patients treated with hemodialysis. Am J Kidney Dis 1994; 24: 1010-8.
    • (1994) Am J Kidney Dis , vol.24 , pp. 1010-1018
    • Keane, W.F.1    Collins, A.J.2
  • 12
    • 0030418647 scopus 로고    scopus 로고
    • Early death in dialysis patients: Risk factors and impact on incidence and mortality rates
    • Soucie JM, McClellan WN. Early death in dialysis patients: risk factors and impact on incidence and mortality rates. J Am Soc Nephrol 1996; 7: 2169-75.
    • (1996) J Am Soc Nephrol , vol.7 , pp. 2169-2175
    • Soucie, J.M.1    McClellan, W.N.2
  • 13
    • 1842667135 scopus 로고    scopus 로고
    • Is there a rationale for rationing chronic dialysis? A hospital based cohort study of factors affecting survival and morbidity
    • Chandna SM, Schulz J, Lawrence C, Greenwood RN, Farrington K. Is there a rationale for rationing chronic dialysis? A hospital based cohort study of factors affecting survival and morbidity. BMJ 1999; 318: 217-23.
    • (1999) BMJ , vol.318 , pp. 217-223
    • Chandna, S.M.1    Schulz, J.2    Lawrence, C.3    Greenwood, R.N.4    Farrington, K.5
  • 14
    • 0029120304 scopus 로고
    • Comorbidity, urea kinetics, and appetite in continuous ambulatory peritoneal dialysis patients: Their interrelationship and prediction of survival
    • Davis SJ, Russell L, Bryan J, Phillips P, Russell GI. Comorbidity, urea kinetics, and appetite in continuous ambulatory peritoneal dialysis patients: Their interrelationship and prediction of survival. Am J Kidney Dis 1995; 26: 353-61.
    • (1995) Am J Kidney Dis , vol.26 , pp. 353-361
    • Davis, S.J.1    Russell, L.2    Bryan, J.3    Phillips, P.4    Russell, G.I.5
  • 15
    • 0034786063 scopus 로고    scopus 로고
    • Miskulin DC, Athienites NV, Yan G, Martin AA, Ornt DB, Kusek JW, Meyer KB, Levey AS; for the Hemodialysis (HEMO) Study Group. Comorbidity assessment using the Index of Coexistent Diseases in a multicenter clinical trial. Kidney Int 2001; 60: 1498-510.
    • Miskulin DC, Athienites NV, Yan G, Martin AA, Ornt DB, Kusek JW, Meyer KB, Levey AS; for the Hemodialysis (HEMO) Study Group. Comorbidity assessment using the Index of Coexistent Diseases in a multicenter clinical trial. Kidney Int 2001; 60: 1498-510.
  • 16
    • 0035151017 scopus 로고    scopus 로고
    • Charlson comorbidity index as a predictor of outcomes in incident peritoneal dialysis patients
    • Fried L, Bernardini J, Piraino B. Charlson comorbidity index as a predictor of outcomes in incident peritoneal dialysis patients. Am J Kidney Dis 2001; 37: 337-42.
    • (2001) Am J Kidney Dis , vol.37 , pp. 337-342
    • Fried, L.1    Bernardini, J.2    Piraino, B.3
  • 17
    • 0036286284 scopus 로고    scopus 로고
    • Krediet RT; for the NECOSAD Study Group. How to adjust for comorbidity in survival studies in ESRD patients: A comparison of different indices
    • Van Manen JG, Korevaar JC, Dekker FW, Boeschoten EW, Bossuyt PMM, Krediet RT; for the NECOSAD Study Group. How to adjust for comorbidity in survival studies in ESRD patients: A comparison of different indices. Am J Kidney Dis 2002; 40: 82-9.
    • (2002) Am J Kidney Dis , vol.40 , pp. 82-89
    • Van Manen, J.G.1    Korevaar, J.C.2    Dekker, F.W.3    Boeschoten, E.W.4    Bossuyt, P.M.M.5
  • 18
    • 0030069896 scopus 로고    scopus 로고
    • Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • Harrell FE, Lee KL, Mark DB. Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996; 15: 361-87.
    • (1996) Stat Med , vol.15 , pp. 361-387
    • Harrell, F.E.1    Lee, K.L.2    Mark, D.B.3
  • 19
    • 0020069360 scopus 로고
    • Predicting survival in adults with end-stage renal disease: An age equivalence index
    • Hutchinson TA, Thomas DC, MacGibbon B. Predicting survival in adults with end-stage renal disease: An age equivalence index. Ann Intern Med 1982; 96: 417-23.
    • (1982) Ann Intern Med , vol.96 , pp. 417-423
    • Hutchinson, T.A.1    Thomas, D.C.2    MacGibbon, B.3
  • 20
    • 0035130624 scopus 로고    scopus 로고
    • An analysis of cardiac mortality in patients with new-onset end-stage renal disease in New York State
    • Wallen MD, Radhakrishnan J, Appel G, Hodgson ME, Pablos-Mendez A. An analysis of cardiac mortality in patients with new-onset end-stage renal disease in New York State. Clin Nephrol 2001; 55: 101-8.
    • (2001) Clin Nephrol , vol.55 , pp. 101-108
    • Wallen, M.D.1    Radhakrishnan, J.2    Appel, G.3    Hodgson, M.E.4    Pablos-Mendez, A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.