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. 2015 Jun 4;26(11):2821–2829. doi: 10.1681/ASN.2014121233

Table 3.

Relationship of urinary renal injury indicators with urinary melamine levels or worksites in multivariate regression models

N Mean±SD Median, IQR Crude Adjustedb Adjustedc
β (±SEM) P value β (±SEM) P value β (±SEM) P value
Log10 NAGa
 Model 1
  Urinary melamine (μg/mmol Cr) 81 0.7±1.5 0.5, 0.3–0.8 0.004 (0.001) <0.001 0.004 (0.001) 0.001 0.004 (0.001) 0.001
 Model 2a
  Nonexposed workers 105 0.4±0.2 0.4, 0.3–0.5 1 1 1
  Administrators 9 0.6±0.3 0.6, 0.4–0.8 0.140 (0.094) 0.138 0.097 (0.106) 0.365 0.148 (0.106) 0.165
  Grinders and packers 16 0.7±0.6 0.7, 0.3–0.9 0.181 (0.072) 0.014 0.065 (0.097) 0.507 0.090 (0.096) 0.350
  Manufacturers 14 1.8±3.5 0.9, 0.4–1.4 0.344 (0.077) <0.001b 0.217 (0.107) 0.044 0.213 (0.105) 0.044c
N Normal N (%) Abnormal N (%) Crude OR (95% CI) Adjusted OR (95% CI)d Adjusted OR (95% CI)e
β2-microglobulinf
 Model 1
  Urinary melamine (μg/mmol Cr) 81 75 (92.6) 6 (7.4) 1.03 (1.01–1.04) 1.03 (1.01–1.06) 1.03 (1.01–1.06)
 Model 2a
  Nonexposed workers 105 101 (96.2) 4 (3.8) 1 1 1
  Administrators 9 9 (100.0) 0
  Grinders and packers 16 15 (93.8) 1 (6.2) 1.68 (0.18–16.01) 0.76 (0.04–13.67) 0.76 (0.04–15.16)
  Manufacturers 14 10 (71.4) 4 (28.6) 10.10 (2.19–46.67) 30.18 (1.59–573.90)g 27.94 (1.28–611.62)h

OR, odds ratio; 95% CI, 95% confidence interval.

a

Missing data, n=1 for office staff, n=2 for grinders and packers, and n=2 for manufacturers.

b

P value for trend: P<0.001.

c

P value for trend: P=0.047.

d

Adjusting for age, sex, BMI, educational level, and cigarette smoking.

e

Adjusting for age, sex, BMI, educational level, cigarette smoking, and serum uric acid.

f

Multiple linear regression or logistic regression.

g

P value for trend: P=0.021.

h

P=0.047.