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. 2022 Feb 22;11(5):1157. doi: 10.3390/jcm11051157

Table 2.

Cox regression analysis of AACS for the primary outcome (non-fatal CV events and all-cause death).

AACS Events, n (%) Model 1 Model 2 Model 3 Model 4
HR
(95% CIs)
p Value HR
(95% CIs)
p Value HR
(95% CIs)
p Value HR
(95% CIs)
p Value
Composite CV events 0 119 (8.8) Reference Reference Reference Reference
1–2 54 (15.5) 1.921
(1.344, 2.745)
<0.001 1.280
(0.915, 1.789)
0.149 1.144
(0.797, 1.643)
0.464 1.169
(0.806, 1.696)
0.411
3–4 27 (16.2) 1.696
(1.053, 2.734)
0.030 0.961
(0.619, 1.493)
0.860 0.834
(0.514, 1.353)
0.462 0.859
(0.524, 1.408)
0.546
5–6 22 (23.9) 3.134
(1.924, 5.107)
<0.001 1.175
(0.722, 1.910)
0.516 1.062
(0.632, 1.783)
0.821 1.155
(0.680, 1.962)
0.593
≥7 40 (32.8) 4.867
(3.320, 7.135)
<0.001 1.631
(1.095, 2.430)
0.0161 1.718
(1.129, 2.614)
0.012 1.888
(1.219, 2.923)
0.004

Model 1, unadjusted model. Model 2, model 1 + adjusted for age, sex, Charlson comorbidity index, primary renal disease, current smoking status, medication (ACEi/ARBs, diuretics, number of anti-HTN drugs, statins), BMI, and SBP. Model 3, model 2 + adjusted for hemoglobin, albumin, fasting glucose, HDL-C, TG, 25(OH) vitamin D, hs-CRP, GFR and spot urine ACR. Model 4, model 3 + adjusted for LVEF and categorized E/e’ at the baseline. Abbreviations: AACS, abdominal aortic calcification score; CI, confidence interval; CV, cardiovascular; HR, hazard ratio.