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. Author manuscript; available in PMC: 2019 Dec 25.
Published in final edited form as: J Am Coll Cardiol. 2018 Dec 25;72(25):3246–3254. doi: 10.1016/j.jacc.2018.09.076

Table 2.

Clinical correlates of longitudinal change in galectin-3 (n = 2477)

Age, sex, baseline Gal-3- adjusted
model
Multivariable- adjusted step-
wise model
Trait β* SE P-Value β SE P-Value
Age 0.0065 0.0005 <.0001 0.0034 0.0005 <0.0001
Female 0.0239 0.0084 0.0046 0.0423 0.0082 <0.0001
Systolic blood pressure 0.0357 0.0045 <.0001 0.0212 0.0045 <0.0001
Antihypertensive treatment 0.0815 0.0100 <.0001 0.0384 0.0103 <0.0001
Diabetes 0.1226 0.0160 <.0001 0.0679 0.0162 <0.0001
Body mass index 0.0335 0.0042 <.0001 0.0209 0.0042 <0.0001
HDL to cholesterol ratio 0.0057 0.0029 <0.0001
Smoking 0.0341 0.0119 0.0041
Left ventricular hypertrophy 0.0095 0.0777 0.90
Glomerular filtration rate −0.0039 0.0041 0.34
Prevalent CKD 0.0438 0.0179 0.01
Prevalent CVD 0.0767 0.0225 0.0007
Prevalent HF −0.0303 0.0838 0.71
Interim development of CKD 0.1945 0.0152 <0.0001 0.1692 0.0149 <0.0001
Interim development of CVD 0.1279 0.0201 <0.0001
Interim development of HF 0.2457 0.0329 <0.0001 0.1634 0.0338 <0.0001
*

Estimated β coeficient represents the change in log-Gal3 between exam 1 and 2 in the presence of the trait at exam 1 (dichotomous variables) or per 1 standard deviation of the trait at exam 1 (continuous variables)

Step-wise selection forced age, sex, and baseline galectin-3 in the model and selected from all remaining variables listed in Table 2.

HDL, high-density lipoprotein; CKD, chronic kidney disease; CVD, cardiovascular disease; HF, heart failure