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Table 3 Single-marker and multi-marker analyses in the logistic regression

From: Single-marker and multi-marker approaches to appraise the relationships between biomarkers and microalbuminuria in Chinese middle-aged and elderly from communities: a cross-sectional analysis

Biomarkers

Models

MA

OR value (95% CI)

P value

Homocysteine (μmol/L)

1st stepa

1.066 (1.041–1.092)

< 0.001

2nd stepb

1.059 (1.031–1.087)

< 0.001

3rd stepc

1.059 (1.032–1.087)

< 0.001

HsCRP (mg/dl)

1st stepa

0.742 (0.426–1.293)

0.293

2nd stepb

0.544 (0.256–1.160)

0.115

3rd stepc

0.490 (0.218–1.098)

0.083

NT-proBNP (pg/mL)

1st stepa

1.002 (1.001–1.003)

0.006

2nd stepb

1.002 (1.000–1.003)

0.020

3rd stepc

1.001 (1.000–1.003)

0.043

UA (μmol/L)

1st stepa

1.002 (0.999–1.005)

0.111

2nd stepb

1.001 (0.998–1.005)

0.415

3rd stepc

1.001 (0.998–1.005)

0.478

  1. Note: aFirst step: single biomarker in the logistic regression model adjusted by age and gender; bSecond step: single biomarker in the logistic regression model adjusted by age, gender, body mass index, cigarette smoking, systolic blood pressure, triglyceride, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, fasting blood glucose and glomerular filtration rate; cThird step: all biomarkers simultaneously in the logistic regression model adjusted by age, gender, body mass index, cigarette smoking, systolic blood pressure, triglyceride, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, fasting blood glucose and glomerular filtration rate
  2. Abbreviation: MA microalbuminuria, OR odd ratio, CI confidence interval, hsCRP high-sensitivity C-reactive protein, NT-proBNP N-terminal prohormone of brain natriuretic peptide, UA uric acid