Model of Schmidt et al for Identifying a Patient at High Risk for Diabetes Mellitus

Description

Schmidt et al identified patients at high risk for diabetes mellitus based on clinical and laboratory parameters. This can help identify patients who may benefit from more aggressive management and preventive interventions. The authors are involved in the Atherosclerosis Risk in Communities (APIC) study.

Parameters:

(1) age in years

(2) race

(3) parental history of diabetes

(4) systolic blood pressure in mm Hg

(5) waist in cm

(6) height in cm

(7) fasting glucose in mmol/L

(8) HDL cholesterol in mmol/L

(9) triglycerides in mmol/L

Parameter	Finding	Points
race	Black (Afro-American)	1
	White	0
parental history of diabetes	none	0
	one or both	1

W =

= (1.7996 * (fasting glucose)) - 11.7303

X =

= (0.0271 * (age)) + (0.2295 * (points for race)) + (0.5463 * (points for parental diabetes)) + (0.0161 * (systolic blood pressure)) + (0.0412 * (waist in cm)) - (0.0115 * (height in cm)) - 7.3359

Y =

= (0.0168 * (age)) + (0.2631 * (points for race)) + (0.5088 * (points for parental diabetes)) + (1.6445 * (fasting glucose)) + (0.012 * (systolic blood pressure)) + (0.0328 * (waist in cm)) - (0.0261 * (height in cm)) - 12.2555

Z =

= (0.0173 * (age)) + (0.4433 * (points for race)) + (0.4981 * (points for parental diabetes)) + (1.5849 * (fasting glucose)) + (0.0111 * (systolic blood pressure)) + (0.0273 * (waist in cm)) - (0.0326 * (height in cm)) - (0.4718 * (HDL cholesterol)) + (0.2420 * (triglycerides)) - 9.9808

probability of diabetes mellitus =

= 1 / (1 + EXP((-1) * (factor)))

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Description

Specialty

ICD-10