Model of Hernandez et al for Predicting Mortality in a Renal Transplant Recipient

Description

Hernandez et al developed a model for predicting mortality for a renal transplant recipient. This can help to identify a patient who may benefit from a more aggressive management. The authors are from Hospital Universitario de Canarias and Hospital Ramon y Cajal in Spain.

Parameters:

(1) age of the patient in years

(2) key comorbid condtions

(2a) pretransplant cardiovascular disease (ischemic heart disease, stroke, peripheral arterial disease)

(2b) impaired renal function (serum creatinine > 2.5 mg/dL) at hospital discharge

(3) other comorbid conditions

(3a) left ventricular hypertrophy (LVH)

(3b) diabetes

(3c) vascular calcifications

(3d) time on dialysis > 48 months

(3e) acute tubular necrosis (ATN)

Age in Years	Number of Key Comorbidities	Number of Other Comorbidities	Risk Group
< 50	0	0	low
50-60	0	0	medium
< 50	1	0	medium
< 60	0	1	medium
> 60	0	0	high
50-60	1	0	high
NA	1	1 (except ATN)	high
NA	2	NA	high

where:

• The criteria for other comorbid conditions is limited to 1. The impact of 2 or more is not included.

Risk Group	8-Year Mortality
low	5%
medium	18%
high	42%

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Model of Hernandez et al for Predicting Mortality in a Renal Transplant Recipient

Description

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