Resumo:
Cardiovascular disease, a leading cause of mortality worldwide, is primarily caused
by atherosclerosis, a chronic inflammatory disease of blood vessels. Atherosclerotic
cardiovascular disease (ASCVD) has been related to low bone mineral density
(BMD) and systemic bone changes seem to be able to be evaluated on computed
tomography (CT) scans of mandible. Thus, the objective of this study was to evaluate
the mandibular bone quality of people with ASCVD through radiomorphometric
indexes obtained from tomographic images. The sample consisted of 130 multislice
CT scans of mandible of people with ASCVD. In cross-sections of mandible in the
region of the mental foramen, bilaterally, the following radiomorphometric indexes
were evaluated: Computed Tomography Mandibular index ((inferior) [CTI (I)],
Computed Tomography Mandibular Index (superior) [CTI(S)], Computed
Tomography Mental Index (CTMI), Computed Tomography Cortical Index (CTCI) and
Mandibular Alveolar Resorption Index (MARI). Intra-examiner agreement was
assessed using the Kappa test and intraclass correlation coefficient statistics, and the
results between groups were compared using the Kruskal Wallis and Chi-square test
for a 5% error probability. The results showed that the vast majority of patients with
ASCVD presented CTMI, CTI (I) and CTI (S) below the values considered normal.
The CTCI C3 category was the most prevalent in the sample (50%). The values of
CTI (I), CTI (S) and CTMI were higher in categories C1 and C2 and gradually
decreased in category C3 (p<0.01). Alcoholic individuals and aged 70 years old or
older had a consistently lower CTMI, CTI (I) and CTI (S) than individuals in the other
age groups (p<0.01). The number of teeth presented, and dental condition were
significantly associated with MARI (p<0.01). Among all comorbidities, only
malnutrition was significantly associated with CTCI (p<0.05). It can be concluded that
the majority of individuals with ASCVD had thin and porous mandibular cortices, and
this tendency was influenced by the variables malnutrition, alcohol consumption and
advanced age.