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Table 7 Adjusted a log-transformed reduced joint association logistic regression model results

From: Multiple biomarker models for improved risk estimation of specific cardiovascular diseases related to metabolic syndrome: a cross-sectional study

 

CVD outcome (cases/n)

β x IQR

ORb

(95% CI)

p-value

CHF (858/28,163)

  CRP

0.5647

1.759

1.473, 2.100

<0.0001

  Glycohemoglobin

0.1412

1.152

1.096, 1.210

<0.0001

  Joint association

0.7059

2.026

1.699, 2.415

<0.0001

Angina (378/12,523)

  Triglycerides

0.2133

1.235

1.018, 1.499

0.0323

  Glycohemoglobin

0.0972

1.102

1.022, 1.188

0.0114

  Joint association

0.3086

1.362

1.126, 1.646

0.0015

MI (1,256/28,436)

  Glycohemoglobin

0.1446

1.156

1.112, 1.201

<0.0001

Stroke (963/28,219)

  CRP

0.3429

1.409

1.197, 1.659

<0.0001

  Glycohemoglobin

0.1165

1.124

1.076, 1.173

<0.0001

  Joint association

0.4594

1.583

1.338, 1.873

<0.0001

CHD (1,198/28,348)

  Glycohemoglobin

0.1708

1.186

1.142, 1.232

<0.0001

  1. aModels adjusted for age, sex, race/ethnicity, BMI, smoking status, systolic blood pressure, and family income.
  2. bOR estimates calculated for an IQR change in the respective biomarker, or an IQR in each biomarker for the joint association estimates. IQRs for ln(Triglycerides, mg/dL) = 0.798 [corresponding to a 2.22 fold increase in non-transformed Triglycerides], ln(CRP, mg/dL) =2.22 [corresponding to a 9.21 fold increase in non-transformed CRP], ln(Glycohemoglobin, %)=0.0935 [corresponding to a 1.10 fold increase in non-transformed glycohemoglobin].