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. 2019 Dec 6;6(12):ofz516. doi: 10.1093/ofid/ofz516

Table 1.

Metabolites Associated With Carotid Intima-Media Thickness and Common Carotid Artery–IMT in HIV-Positive Patients Treated With Antiretroviral Therapy

Univariablea Multivariableb
Total c-IMT Cross-sectionalc (n = 49) Diff (95% CI), mm P Diff (95% CI), mm P
Purine/pyrimidine metabolism
 Xanthosine 0.160 (0.005 to 0.314) .04 0.128 (0.040 to 0.216) .005
 Uridine 0.283 (0.069 to 0.497) .01 0.165 (0.041 to 0.289) .01
Lysine degradation
 Pipecolate –0.234 (–0.337 to –0.130) <.001
 g-butyrobetaine –0.344 (–0.577 to –0.110) .004 –0.190 (–0.314 to –0.067) .003
Tryptophan metabolism
 Indole-3-acetate 0.102 (0.009 to 0.194) .03 0.056 (0.007 to 0.106) .03
 Quinolinate 0.169 (0.011 to 0.327) .04 0.115 (0.018 to 0.211) .02
cca-IMT cross-sectionalc (n = 49) Diff (95% CI), mm P Diff (95% CI), mm P
Purine/pyrimidine metabolism
 Xanthosine 0.108 (–0.032 to 0.248) .13
 Uridine 0.218 (0.024 to 0.413) .03
Lysine degradation
 Pipecolate –0.193 (–0.288 to –0.099) <.001
 g-butyrobetaine –0.293 (–0.504 to –0.082) .007 –0.227 (–0.399 to –0.054) .01
Tryptophan metabolism
 Indole-3-acetate 0.118 (0.035 to 0.201) .006 0.078 (0.010 to 0.145) .03
 Quinolinate 0.099 (–0.046 to 0.243) .18
cca-IMT progressiond (n = 31) Diff (95% CI), mm ∆/y P Diff (95% CI), mm ∆/y P
Purine/pyrimidine metabolism
 Xanthosine 0.062 (–0.161 to 0.285) .6
 Uridine 0.235 (–0.098 to 0.569) .16
Lysine degradation
 Pipecolate –0.105 (–0.307 to 0.098) .3
 g-butyrobetaine –0.189 (–0.560 to 0.183) .3
Tryptophan metabolism
 Indole-3-acetate 0.148 (0.014 to 0.282) .03 0.182 (0.053 to 0.311) .008
 Quinolinate 0.341 (0.083 to 0.599) .01 0.400 (0.149 to 0.651) .003

Data were obtained from HIV-infected patients treated with antiretroviral therapy.

Abbrieviations: ∆, change; c-IMT, carotid intima-media thickness; cca, common carotid artery; diff, difference.

aOnly metabolites with P values <.1 in univariable analysis (for the c-IMT cross-sectional analysis) are provided; all other estimates are provided in Supplementary Table 2. The metabolites in the c-IMT cross-sectional univariable analysis were used as candidates for the cca-IMT cross-sectional and progression analysis.

bMultivariable models were adjusted for age, hypertension, diabetes, and creatinine clearance. The following metabolites were excluded: c-IMT cross-sectional—pipecolate (P = .899); cca-IMT cross-sectional—uridine (P = .131), pipecolate (P = .432); cca-IMT progression—none.

cAn evaluation of metabolite levels and c-IMT/cca-IMT was performed at the same moment in the cross-sectional studies. “Diff” represents the mm change in IMT for each log10 (area) increase in metabolite level.

dIn a subset of patients with a second cca-IMT measure (occurring a median [interquartile range] of 5.1 [4.8–5.3] years) after the first measure), metabolite levels at the time of first IMT measure were used to model mm change in cca-IMT per year. “Diff in mm ∆/y” represents the mm change in slope of IMT regression/progression for each log10 (area) increase in metabolite level.