| Literature DB >> 28428650 |
Flávio Augusto Teixeira Ronzani1, Filomena Maria Kirchmaier2, Nathália Mussi Monteze3, Edson José de Carvalho Magacho4, Marcus Gomes Bastos5, Natália Maria da Silva Fernandes6.
Abstract
OBJECTIVE: The aim of this study was to evaluate breast arterial calcification (BAC) detected on routine mammography, analyzing its association with chronic degenerative disease.Entities:
Keywords: Breast/blood supply; Diabetes mellitus; Glomerular filtration rate; Hypertension; Mammography; Renal insufficiency, chronic
Year: 2017 PMID: 28428650 PMCID: PMC5396997 DOI: 10.1590/0100-3984.2015.0173
Source DB: PubMed Journal: Radiol Bras ISSN: 0100-3984
Sociodemographic and clinical characteristics of the 312 subjects, together with comparisons between those with and without BAC.
| Variable | All subjects ( | With BAC ( | Without BAC ( | p |
|---|---|---|---|---|
| Age (years), mean ± SD | 55.9 ± 7.4 | 54.8 ± 7.3 | 59.3 ± 6.5 | < 0.0001 |
| Race, % | ||||
| White | 64.3 | 57.7 | 66.5 | 0.23 |
| Biracial | 18.5 | 18.3 | 23.9 | |
| Black | 17.2 | 23.9 | 18.3 | |
| Marital status, % | ||||
| Married | 50.3 | 54.9 | 49.1 | 0.06 |
| Single | 36.5 | 29.6 | 38.8 | |
| Other | 13.2 | 15.5 | 12.1 | |
| Years of schooling, % | ||||
| 0 (illiterate) | 8.5 | 12.8 | 6.6 | 0.02 |
| ≤ 9 | 61.3 | 59.6 | 62.3 | |
| ≤ 12 | 23.1 | 27.7 | 21.9 | |
| > 12 | 7.0 | 0 | 9.3 | |
| Family income, % | ||||
| None | 0.4 | 1.4 | 0 | 0.007 |
| 1× the Brazilian minimum wage | 3.2 | 1.4 | 3.9 | |
| 1-3× the Brazilian minimum wage | 87.0 | 95.7 | 84.1 | |
| 3-5× the Brazilian minimum wage | 6.1 | 1.4 | 7.7 | |
| > 5× the Brazilian minimum wage | 3.2 | 0 | 4.3 | |
| Body mass index (kg/m2), mean ± SD | 31.0 ± 6.6 | 31.3 ± 6.2 | 30.9 ± 6.8 | 0.65 |
| Waist circumference (cm), mean ± SD | 102.63 ± 12.4 | 102.8 ± 11.5 | 102.6 ± 12.8 | 0.89 |
| Smoking status, % | ||||
| Current smoker
( | 8.7 | 12.7 | 7.5 | 0.19 |
| Passive or former
smoker ( | 30.8 | 34.3 | 29.2 | 0.43 |
| Comorbidities (%) | ||||
| AH ( | 76.3 | 93.0 | 71.3 | < 0.0001 |
| DM ( | 13.6 | 81.7 | 54.2 | < 0.0001 |
| CVD ( | 13.6 | 18.6 | 11.9 | 0.17 |
| CKD ( | 26.0 | 35.2 | 23.3 | 0.05 |
| Menopausal ( | 66.7 | - | - | - |
| Creatinine (mg/dL) | 1.13 ± 0.7 | -1.24 ± 0.80 | 1.09 ± 0.70 | 0.17 |
| Glomerular filtration rate (mL/min/1.73 m2), mean ± SD | 41.87 ± 6.23 | 39.93 ± 7.91 | 42.46 ± 5.52 | 0.003 |
| CKD stage, % | ||||
| 3A ( | 23.4 | - | - | |
| 3B ( | 71.5 | - | - | |
| 4 ( | 2.6 | - | - | |
| 5 ( | 1.3 | - | - | |
| No data
( | - | - | - |
SD, standard deviation; AH, arterial hypertension; DM, diabetes mellitus; CVD, cardiovascular disease; CKD, chronic kidney disease.
Data related to subjects with diabetes mellitus, with and without BAC.
| Variable | With BAC ( | Without BAC ( | |
|---|---|---|---|
| Age (years), mean ± SD | 59.6 ± 6.6 | 55.3 ± 6.7 | < 0.0001 |
| Race, % | |||
| White | 51.7 | 55.9 | 0.64 |
| Biracial | 20.7 | 22.8 | |
| Black | 27.6 | 21.3 | |
| Marital status, % | |||
| Married | 56.9 | 58.6 | 0.18 |
| Single | 27.6 | 30.0 | |
| Other | 15.5 | 14.1 | |
| Years of schooling, % | |||
| 0 (illiterate) | 15.4 | 10.5 | 0.27 |
| ≤ 9 | 59.0 | 71.6 | |
| ≤ 12 | 25.6 | 15.8 | |
| > 12 | 0 | 2.1 | |
| Family income, % | |||
| None | 1.8 | 0 | 0.05 |
| 1× the Brazilian minimum wage | 1.8 | 3.8 | |
| 1-3× the Brazilian minimum wage | 96.5 | 91.5 | |
| 3-5× the Brazilian minimum wage | 0 | 4.6 | |
| > 5× the Brazilian minimum wage | 0 | 0 | |
| Body mass index (kg/m2), mean ± SD | 31.6 ± 6.1 | 32.4 ± 6.9 | 0.45 |
| Waist circumference (cm), mean ± SD | 103.4 ± 11.3 | 104.2 ± 12.9 | 0.68 |
| Smoking status, % | |||
| Current smoker
( | 12.1 | 7.8 | 0.30 |
| Passive or former
smoker ( | 32.8 | 32.0 | 0.74 |
| Comorbidities (%) | |||
| AH ( | 93.1 | 86.2 | 0.15 |
| CVD ( | 15.5 | 12.8 | 0.62 |
| CKD ( | 37.9 | 26.9 | 0.09 |
| Menopausal ( | 92.7 | 68.3 | < 0.0001 |
| Creatinine (mg/dL) | 1.28 ± 0.87 | 1.17 ± 0.86 | 0.42 |
| Glomerular filtration rate (mL/min/1.73 m2), mean ± SD | 39.5 ± 8.6 | 42.4 ± 5.4 | 0.001 |
SD, standard deviation; AH, arterial hypertension; CVD, cardiovascular disease; CKD, chronic kidney disease.
Data related to subjects with chronic kidney disease, with and without BAC.
| Variable | With BAC ( | Without BAC ( | |
|---|---|---|---|
| Age (years), mean ± SD | 60.8 ± 5.6 | 55.2 ± 6.8 | 0.001 |
| Maritals Status, % | |||
| Married | 52.0 | 64.3 | 0.19 |
| Single | 40.0 | 21.4 | |
| Other | 8.0 | 14.3 | |
| Years of schooling, % | |||
| 0 (illiterate) | 27.8 | 11.9 | 0.10 |
| ≤ 9 | 44.4 | 66.7 | |
| ≤ 12 | 27.8 | 14.3 | |
| > 12 | 0 | 7.1 | |
| Family income, % | |||
| None | 4 | 0 | 0.07 |
| 1× the Brazilian minimum wage | 0 | 5.4 | |
| 1-3× the Brazilian minimum wage | 96 | 85.7 | |
| 3-5× the Brazilian minimum wage | 0 | 7.1 | |
| > 5× the Brazilian minimum wage | 0 | 1.8 | |
| Body mass index (kg/m2), mean ± SD | 32.8 ± 6.19 | 31.9 ± 7.2 | 0.59 |
| Waist circumference (cm), mean ± SD | 105.4 ± 12.3 | 101.9 ± 11.8 | 0.24 |
| Smoking status, % | |||
| Current smoker
( | 12.0 | 9.1 | 0.70 |
| Passive or former
smoker ( | 52.0 | 42.0 | 0.41 |
| Comorbidities (%) | |||
| AH ( | 96.0 | 85.7 | 0.14 |
| DM ( | 88.0 | 62.5 | 0.01 |
| CVD ( | 28.0 | 18.0 | 0.32 |
| Menopausal ( | 100.0 | 72.7 | 0.004 |
| Creatinine (mg/dL) | 1.35 ± 0.60 | 1.11 ± 0.73 | 0.11 |
| Glomerular filtration rate (mL/min/1.73 m2), mean ± SD | 38.5 ± 9.2 | 42.2 ± 5.8 | 0.005 |
SD, standard deviation; AH, arterial hypertension; DM, diabetes mellitus; CVD, cardiovascular disease.
Logistic regression, with BAC as the outcome variable.
| Predictor | Odds ratio | 95% confidence interval | |
|---|---|---|---|
| AH | 0.028 | 3.07 | 1.13-8.36 |
| DM | 0.007 | 2.60 | 1.30-5.20 |
| CKD | 0.311 | 1.37 | 0.74-2.52 |
| Age, years | |||
| 40-49 (reference) | 1 | ||
| 50-59 | 0.17 | 0.47 | 0.76-4.65 |
| ≥ 60 | 0.003 | 3.949 | 1.573-9.913 |
AH, arterial hypertension; DM, diabetes mellitus; CKD, chronic kidney disease.
Figure 1Odds ratio for each chronic degenerative disease: AH, DM, CVD, and CKD.