| Literature DB >> 29364439 |
Asli Akin Belli1, Ilknur Altun2, Ibrahim Altun3.
Abstract
BACKGROUND: Rosacea is a chronic facial skin disease associated with excessive inflammatory response to various triggers. Although some studies have supported the increased risk of cardiovascular diseases in rosacea, it has not been completely accepted.Entities:
Mesh:
Year: 2017 PMID: 29364439 PMCID: PMC5786397 DOI: 10.1590/abd1806-4841.20176832
Source DB: PubMed Journal: An Bras Dermatol ISSN: 0365-0596 Impact factor: 1.896
Demographic, clinical, and laboratory characteristics of the participants
| Rosacea group (n=40) | Control group (n=40) | P | |
|---|---|---|---|
| n (%) / mean ± SD | n (%) / mean ± SD | ||
| 50.35 ± 7.59 | 50.52 ± 7.96 | 0.867 | |
| 4 (10%) | 6 (15%) | 0.499 | |
| 2 (5%) | 2 (5%) | 1 | |
| 16 (40%) | 23 (57.5%) | 0.117 | |
| 5 (12.5%) | 6 (15%) | 0.815 | |
| 4.46 ± 0.65 | 3.28 ± 0.59 | < 0.001 | |
| 0.72 ± 0.19 | 0.61 ± 0.12 | < 0.001 | |
| 133.74 ± 33.39 | 121.76 ± 24.68 | 0.058 | |
| 141.45 ± 75.06 | 123.24 ± 59.11 | 0.177 | |
| 215.54 ± 40.78 | 206.31 ± 30.45 | 0.216 | |
| 53.89 ± 12.31 | 59.87 ± 16.98 | 0.067 | |
| 95.97 ± 14.96 | 94.49 ± 11.46 | 0.791 | |
| 3.16 ± 3.16 | 2.26 ± 1.99 | 0.090 | |
| 27.75 ± 3.08 | 27.14 ± 3.52 | 0.597 | |
| 123.14 ± 16.94 | 114.36 ± 14.11 | 0.045 | |
| 80 ± 10.57 | 74.61 ± 6.82 | 0.016 | |
| 2.41 ± 1.31 | 2.14 ± 1.19 | 0.329 | |
| 14 (35%) | 10 (25%) | 0.329 | |
| 13 (32.5%) | 8 (20%) | 0.204 |
Chi-square test, Independent samples t test, and Mann-Whitney U-test. SD- Standard deviation; CVD- Cardiovascular disease; EFT- Epicardial fat thickness; CIMT- Carotid intima-media thickness; TG-Triglyceride; FBG- Fasting blood glucose; BMI- Body mass index; BP- Blood pressure; HOMA-IR- Homeostasis model assessment of insulin resistance; MS- Metabolic syndrome.
Prediction of presence of rosacea in the study population by multiple logistic regression analysis
| Variables | Univariate analysis P | Odds Ratio (95% CI) | Multivariate analysis β P | Odds Ratio (95% CI) |
|---|---|---|---|---|
| Gender | 0.793 | 1.15 (0.41-3.22) | ||
| Age | 0.865 | 1.01 (0.95-1.06) | ||
| Smoking | 0.502 | 1.59 (0.41-6.12) | ||
| Alcohol consumption | 1 | 1 (0.13-7.47) | ||
| Regular exercise | 0.119 | 2.03 (0.83-4.95) | ||
| Family history of CVD | 0.815 | 0.86 (0.24-3.09) | ||
| Waist circumference | 0.911 | 1.01 (0.957-1.05) | ||
| EFT | < 0.001 | 12.87 (4.43-37.36) | 2.59 < 0.001 | 13.31 (4.15-42.68) |
| LDL | 0.062 | 1.02 (0.99-1.03) | 0.01 0.534 | 1.01 (0.98-1.03) |
| TG | 0.180 | 1.01 (0.99-1.01) | ||
| Total cholesterol | 0.215 | 1.01 (0.99-1.02) | ||
| HDL | 0.073 | 0.97 (0.94-1.01) | -0.05 0.087 | 0.96 (0.91-1.01) |
| FBG | 0.413 | 1.01 (0.98-1.05) | ||
| CRP | 0.124 | 1.18 (0.95-1.46) | ||
| Diastolic BP | 0.014 | 1.08 (1.02-1.15) | 0.05 0.291 | 1.05 (0.96-1.15) |
| BMI | 0.592 | 1.04 (0.91-1.19) | ||
| IR | 0.331 | 1.61 (0.61-4.25) | ||
| MS | 0.207 | 1.93 (0.69-5.34) |
CI- Confidence interval; CVD- Cardiovascular disease; EFT- Epicardial fat thickness; TG-Triglyceride; FBG- Fasting blood glucose; CRP- C-reactive protein; BP- Blood pressure; BMI- Body mass index; IR- Insulin resistance; MS- Metabolic syndrome.
Independent predictors for epicardial fat thickness by multivariate linear regression analysis
| Variables | Univariate analysis P | Multivariate analysis β P |
|---|---|---|
| Rosacea | < 0.001 | 0.47 < 0.001 |
| Gender | 0.564 | |
| Age | 0.199 | |
| Duration of rosacea | 0.458 | |
| Subtype of rosacea | 0.763 | |
| Smoking | 0.267 | |
| Alcohol consumption | 0.75 | |
| Regular exercise | 0.427 | |
| Family history of CVD | 0.572 | |
| Waist circumference | 0.285 | |
| CIMT | < 0.001 | 0.36 < 0.001 |
| LDL | 0.037 | 0.06 0.388 |
| TG | 0.971 | |
| Total cholesterol | 0.118 | |
| HDL | 0.742 | |
| FBG | 0.697 | |
| CRP | 0.824 | |
| Systolic BP | < 0.001 | 0.19 0.015 |
| BMI | 0.814 | |
| IR | 0.448 | |
| MS | 0.908 |
CIMT- Carotid intima media thickness; CVD- Cardiovascular disease; TG-Triglyceride; FBGFasting blood glucose; CRP- C-reactive protein; BP- Blood pressure; BMI- Body mass index; IR- Insulin resistance; MS- Metabolic syndrome.
Independent predictors for carotid intima-media thickness by multivariate linear regression analysis
| Variables | Univariate analysis P | Multivariate analysis β P |
|---|---|---|
| Rosacea | <0.001 | -0.03 0.814 |
| Gender | 0.261 | |
| Age | 0.197 | |
| Duration of rosacea | 0.579 | |
| Subtype of rosacea | 0.984 | |
| Smoking | 0.859 | |
| Alcohol consumption | 0.898 | |
| Regular exercise | 0.936 | |
| Family history of CVD | 0.519 | |
| Waist circumference | 0.724 | |
| EFT | < 0.001 | 0.6 < 0.001 |
| LDL | 0.273 | |
| TG | 0.601 | |
| Total cholesterol | 0.258 | |
| HDL | 0.969 | |
| FBG | 0.321 | |
| CRP | 0.967 | |
| Systolic BP | 0.001 | 0.11 0.276 |
| BMI | 0.748 | |
| IR | 0.289 | |
| MS | 0.119 |
CVD- Cardiovascular disease; EFT- Epicardial fat thickness; TG-Triglyceride; FBG- Fasting blood glucose; CRP- C-reactive protein; BP- Blood pressure; BMI- Body mass index; IR- Insulin resistance; MS- Metabolic syndrome.
Correlation of the variables with epicardial fat thickness (EFT) and carotid intima-media thickness (CIMT)
| Variables | EFT CC P | CIMT CC P |
|---|---|---|
| Age | 0.145 0.199 | 0.146 0.197 |
| Waist circumference | 0.123 0.285 | 0.041 0.724 |
| EFT | 1 | 0.629 <0.001 |
| CIMT | 0.629 <0.001 | 1 |
| LDL | 0.234 0.037 | 0.124 0.273 |
| TG | -0.004 0.971 | 0.059 0.601 |
| Total cholesterol | 0.176 0.118 | 0.128 0.258 |
| HDL | -0.037 0.742 | 0.004 0.969 |
| FBG | 0.044 0.697 | 0.112 0.321 |
| CRP | 0.026 0.824 | -0.005 0.967 |
| Systolic BP | 0.447 <0.001 | 0.371 <0.001 |
| Diastolic BP | 0.369 0.001 | 0.272 0.016 |
| BMI | 0.027 0.814 | -0.037 0.748 |
| HOMA-IR | 0.062 0.583 | 0.052 0.647 |
EFT- Epicardial fat thickness; CIMT- Carotid intima media thickness; CC- Correlation coefficient; TG-Triglyceride; FBG- Fasting blood glucose; CRP- C-reactive protein; BPBlood pressure; BMI- Body mass index; HOMA-IR- Homeostasis model assessment of insulin resistance.