Table 3. Variable ranking by their contribution to the predictions of AutoPrognosis.

Variable (Men)	Score	Variable (Women)	Score
Age*	0.346	Age*	0.370
Smoking*	0.101	Smoking*	0.099
Usual walking pace	0.052	Usual walking pace	0.057
Systolic blood pressure*	0.040	Ankle spacing width	0.035
Microalbumin in urine	0.032	Self-reported health rating	0.030
High blood pressure	0.030	Systolic blood pressure*	0.026
Red blood cell distribution width	0.025	High blood pressure	0.024
Self-reported health rating	0.019	Red blood cell distribution width	0.023
Haematocrit percentage	0.014	Microalbumin in urine	0.017
Father age at death	0.014	Father age at death	0.017
BMI*	0.013	White blood cell count	0.011
Diastolic blood pressure	0.012	Number of Treatments	0.011
White blood cell count	0.012	Mean reticulocyte volume	0.008
Impedance of arm (left)	0.009	Leg predicted mass (right)	0.006
Haemoglobin concentration	0.007	Neutrophill count	0.006
Neutrophill count	0.005	Basal metabolic rate	0.005
Number of Treatments	0.004	Hormone-replac. therapy usage	0.005
Mean reticulocyte volume	0.004	Blood clot in the leg	0.004
Urinary sodium concentration	0.004	Forced expiratory volume	0.004
Monocyte count	0.004	Duration of fitness test	0.004

* Risk factors utilized by existing risk prediction algorithms.

Explanations for the different variables in this table are provided in S2 Appendix.