In patients with chronic inflammatory diseases, only body fat percentage, mid-upper arm circumference, and waist circumference were positively associated with carotid intima-media thickness, whereas no anthropometric indices were associated with retinal microcirculation or pulse wave velocity.
Cross-Sectional (n=755)
No
Do associations between anthropometric and body composition indices and subclinical arterial damage markers differ in patients with chronic inflammatory diseases compared to non-CID subjects?
Traditional anthropometric indices like BMI and waist-to-hip ratio are not associated with subclinical arterial damage markers in patients with chronic inflammatory diseases, suggesting they may be insufficient for cardiovascular risk assessment in this population.
Effect estimate: Body fat percentage B=0.002 (95% CI 0.000 to 0.004), mid-upper arm circumference (MUAC) B=0.007 (95% CI 0.002 to 0.011), waist circumference B=0.001 (95% CI 0.000 to 0.003) positive association with IMT in CID patients (95% CI See B coefficients 95% CI above)
p-value: p=<0.05 for associations in CID patients; no association with PWV in either group
Abstract Background Anthropometric and body composition indices are associated with subclinical arterial damage (SAD) in populations with overweight and obesity, but limited data exist in populations with chronic inflammatory diseases (CID). Herein we tested the hypothesis that the associations of anthropometric and body composition indices with macro- and microcirculation SAD markers differ in patients with CID compared to non-CID subjects. Methods A total of 264 patients with CID (23.1% men, mean age ± standard deviation: 51.1 ± 12.9 years) and 491 CID-free individuals with cardiovascular disease risk factors (55.8% men, mean age ± standard deviation: 51.9 ± 11.6 years) were enrolled. Anthropometric measurements, carotid intima-media thickness (IMT), pulse wave velocity (PWV) and retinal vessel calibers were assessed in all participants. Results In non-CID individuals, all anthropometric indices were positively associated with IMT; most of them were positively associated with central retinal venular equivalent and inversely associated with central retinal arteriolar equivalent and arteriolar to venular ratio. In patients with CID, only body fat percentage B = 0.002 95% CI (0.000, 0.004), mid-upper arm circumference B = 0.007 95% CI (0.002, 0.011) and waist circumference B = 0.001 95% CI (0.000, 0.003) were positively associated with IMT, whereas none of the indices were associated with retinal microcirculation. No associations with PWV were observed in both groups. Conclusions Body weight, body mass index, waist-to-hip ratio and waist-to-height ratio were not associated with SAD markers in patients with CID. This may have an impact on the clinical use of these indices in the presence of CID, which needs to be elucidated by future studies.
Kaloudi et al. (Tue,) conducted a cross-sectional in chronic inflammatory diseases and cardiovascular disease risk factors (n=755). In patients with chronic inflammatory diseases, only body fat percentage, mid-upper arm circumference, and waist circumference were positively associated with carotid intima-media thickness, whereas no anthropometric indices were associated with retinal microcirculation or pulse wave velocity.