Division of General Medicine and Primary Care, Brigham and Women's-Faulkner Hospitalist Program, Harvard Medical School, Boston, Massachusetts, United States of America.
PLoS One. 2011;6(11):e27468. doi: 10.1371/journal.pone.0027468. Epub 2011 Nov 10.
Geographic variation in traditional cardiovascular disease (CVD) risk factors has been observed among women in the US. It is not known whether state-level variation in cardiovascular inflammation exists or could be explained by traditional clinical risk factors and behavioral lifestyle factors.
We used multilevel linear regression to estimate state-level variation in inflammatory biomarker patterns adjusted for clinical and lifestyle characteristics among 26,029 women free of CVD. Participants derived from the Women's Health Study, a national cohort of healthy middle-aged and older women. Inflammatory biomarker patterns (plasma levels of high-sensitivity C-reactive protein (hsCRP), soluble intercellular adhesion molecule-1 (sICAM-1), and fibrinogen) were compared to state-level patterns of traditional CVD risk factors and global risk scores. We found that all three inflammatory biomarkers exhibited significant state-level variation including hsCRP (lowest vs. highest state median 1.3 mg/L vs. 2.7 mg/L, unadjusted random effect estimate 1(st) to 99(th) percentile range for log hsCRP 0.52, p<.001), sICAM-1 (325 ng/ml vs. 366ng/ml, unadjusted random effect estimate 1(st) to 99(th) percentile range 0.44, p<.001), and fibrinogen (322 mg/dL vs. 367 mg/dL, unadjusted random effect estimate 1(st) to 99(th) percentile range 0.41, p = .001). Neither demographic, clinical or lifestyle characteristics explained away state-level effects in biomarker patterns. Southern and Appalachian states (Arkansas, West Virginia) had the highest inflammatory biomarker values. Regional geographic patterns of traditional CVD risk factors and risk scores did not completely overlap with biomarkers of inflammation.
There is state-level geographic variation in inflammatory biomarkers among otherwise healthy women that cannot be completely attributed to traditional clinical risk factors or lifestyle characteristics. Future research should aim to identify additional factors that may explain geographic variation in biomarkers of inflammation among healthy women.
在美国女性中,传统心血管疾病(CVD)危险因素存在地域差异。目前尚不清楚心血管炎症是否存在州际差异,或者这些差异是否可以用传统的临床危险因素和行为生活方式因素来解释。
我们使用多水平线性回归估计了 26029 名无 CVD 的健康中年和老年女性的炎症生物标志物模式,调整了临床和生活方式特征的州际差异。参与者来自妇女健康研究,这是一个全国性的健康中年和老年女性队列。比较了炎症生物标志物模式(血浆高敏 C 反应蛋白(hsCRP)、可溶性细胞间黏附分子-1(sICAM-1)和纤维蛋白原)与传统 CVD 危险因素和全球风险评分的州际模式。我们发现,所有三种炎症生物标志物都表现出显著的州际差异,包括 hsCRP(最低与最高州中位数 1.3mg/L 与 2.7mg/L,未经调整的随机效应估计值 1(st) 到 99(th) 百分位范围的 log hsCRP 为 0.52,p<.001)、sICAM-1(325ng/ml 与 366ng/ml,未经调整的随机效应估计值 1(st) 到 99(th) 百分位范围 0.44,p<.001)和纤维蛋白原(322mg/dL 与 367mg/dL,未经调整的随机效应估计值 1(st) 到 99(th) 百分位范围 0.41,p = .001)。人口统计学、临床或生活方式特征均不能完全解释生物标志物模式中的州际效应。南部和阿巴拉契亚州(阿肯色州、西弗吉尼亚州)的炎症生物标志物值最高。传统 CVD 危险因素和风险评分的区域地理模式与炎症的生物标志物并不完全重叠。
在其他方面健康的女性中,炎症生物标志物存在州际地域差异,这些差异不能完全归因于传统的临床危险因素或生活方式特征。未来的研究应旨在确定可能解释健康女性炎症生物标志物地域差异的其他因素。