Impact Factors and an Efficient Nomogram for Predicting the Occurrence of Sepsis after Percutaneous Nephrolithotomy

Table 3

Univariate analysis and multivariate binary logistic regression analysis.

Variable	Univariate analysis			Multivariate analysis
	OR	95% CI		OR	95% CI
Age(years)	0.982	0.948-1.018	0.321
BMI	1.059	0.927-1.210	0.395
Gender	1.674	0.756-3.705	0.204
Male/female
Diabetes mellitus	0.844	0.356-2.001	0.701
Yes/no
Stone location	1.667	1.005-2.763	0.048
Renal pelvis/calyceal/upper ureter
Stone side	1.675	1.027-2.734	0.039
Left/right/two sides
Stone number	1.006	0.478-2.118	0.998
Single/multiple
Staghorn calculi	8.964	4.011-20.032	<0.001	10.402	3.663-29.542	<0.001
Yes/no
Largest stone size	1.036	1.004-1.070	0.029
Serum creatinine	1.000	0.989-1.011	0.995
Midstream urine culture	15.911	6.703-37.768	<0.001	16.505	5.582-48.798	<0.001
Positive/negative
Urinary microscopy WBC	0.506	0.159-1.611	0.747
1+/2+/3+/4+
Preoperative renal fistula	0.055	0.018-0.164	<0.001	0.122	0.032-0.463	0.002
Yes/no
Surgery time	1.001	0.989-1.012	0.917

Statistically significant, BMI: body mass index. The urinary microscopy WBC: at high magnification, urine sediment white blood cell count. WBC (1+): urinary sediment microscopy counts of 5—10/HP. WBC (2+): urinary sediment microscopic counting 10—15/HP. WBC (3+): urinary sediment microscopic counting 15—20/HP. WBC (4+): urinary sediment microscopic counting >20/HP.