Model of Hemke et al for Predicting Survival in a Patient Requiring Renal Replacement Therapy

Description

Hemke et al reported a model for predicting survival of a patient starting renal replacement therapy. The authors are from the Dutch Transplant Foundation, Dutch Renal Replacement Registry, Leiden University, Erasmus Medical Centre and University Medical Center Nijmegen in The Netherlands.

Patient selection: end-stage renal disease starting renal replacement therapy

Parameters:

(1) primary renal disease

(2) renal replacement therapy at 90 days

(3) sex

(4) age in years

Parameter	Finding	Points
primary renal disease	glomerulonephritis	0
	cystic kidney disease	-0.28
	renal vascular disease	0.331
	diabetes	0.767
	other	0.407
	unknown type	0.296
renal replacement therapy	hemodialysis	0
	peritoneal dialysis	-0.131
	renal transplant	-1.634
sex	female	0
	male	0.067
age in years		0.054 * (age)

X =

= SUM(points for all of the parameters)

survival of the patient in percent at a given point in time =

= EXP((-1) * (time factor) * EXP(X))

Time	Factor
1 year	0.0030366
2 years	0.0062358
3 years	0.0099612
4 years	0.0137251
5 years	0.0171945
6 years	0.0210067
7 years	0.0244553
8 years	0.0277822
9 years	0.0310577
10 years	0.0333078

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Model of Hemke et al for Predicting Survival in a Patient Requiring Renal Replacement Therapy

Description

Specialty