Comparison of a Bayesian Network with a Logistic Regression Model to Forecast IgA Nephropathy

Table 1

Characteristics of 149 patients with analyzable renal biopsy specimens between January 2002 and December 2009.

Age (years)	Mean ± SEM	48.2+2.01
	Age < 40	36%
	40 ≤ age < 60	34%
	Age ≥ 60	30%
Male		64%
History of hypertension		44%
Microhematuria		45%
Gross hematuria		17%
Family history of hematuria		3%
History of diabetes		11%
Mean eGFR (MDRD mL/min/1.73 m²)	Mean ± SEM	63+3.4
Stage of renal failure	eGFR ≤ 29 mL/min/1.73 m²	15%
	30 ≤ eGFR ≤ 59 mL/min/1.73 m²	31%
	60 mL/min/1.73 m² ≤ eGFR	54%
Serum Ig A	Increased > 3.6 g/L	18%
	Normal ≤ 3.6 g/L	34%
	Not performed	48%
Proteinuria (g/24 h)		3.44 + 0.43
	Proteinuria < 0.3 g/24 h	12%
	0.3 g/24 h ≤ proteinuria; < 1 g/24 h	20%
	1 g/24 h ≤ proteinuria < 3 g/24 h	34%
	Proteinuria ≥ 3 g/24 h	34%