Osteoprotegerin improves risk detection by traditional cardiovascular risk factors and hsCRP

被引:29
|
作者
Mogelvang, Rasmus [1 ,2 ]
Haahr-Pedersen, Sune [3 ]
Bjerre, Mette [4 ,5 ]
Frystyk, Jan [4 ,5 ]
Iversen, Allan [3 ]
Galatius, Soren [3 ]
Flyvbjerg, Allan [4 ,5 ]
Jensen, Jan Skov [2 ,3 ,6 ]
机构
[1] Univ Copenhagen, Rigshosp, Dept Cardiol, DK-2100 Copenhagen, Denmark
[2] Bispebjerg Hosp, Copenhagen City Heart Study, Copenhagen, Denmark
[3] Gentofte Univ Hosp, Dept Cardiol, Hellerup, Denmark
[4] Aarhus Fac Hlth Sci, Dept Endocrinol & Internal Med, Med Res Labs, Inst Clin Med, Aarhus, Denmark
[5] Aarhus Univ Hosp, DK-8000 Aarhus, Denmark
[6] Univ Copenhagen, Fac Hlth Sci, Clin Inst Surg & Internal Med, DK-2100 Copenhagen, Denmark
基金
英国医学研究理事会;
关键词
CORONARY-HEART-DISEASE; C-REACTIVE PROTEIN; GENERAL-POPULATION; FUTURE RISK; INFLAMMATION; MORTALITY; ATHEROSCLEROSIS; HEMOGLOBIN; VALIDATION; BIOMARKERS;
D O I
10.1136/heartjnl-2012-302240
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective To evaluate the association of plasma osteoprotegerin (OPG) to hospitalisation for ischaemic heart disease (IHD), ischaemic stroke and all-cause mortality, and the effect of combining plasma OPG and high-sensitivity C-reactive protein (hsCRP). Design OPG and hsCRP concentrations were measured at baseline in a large Danish prospective community-based population study. Setting The 4th Copenhagen City Heart Study. Participants 5863 men and women aged 20-95 were recruited from the general population. Main outcome measures Combined end-point of IHD, ischaemic stroke or all-cause mortality. Results During a median follow-up of 7.8 years (IQR 7.3-8.3), 1270 subjects (21.7%) reached the combined end-point. A twofold increase in plasma OPG was a significant predictor of the combined end-point (univariable HR 1.85, 95% CI 1.75 to 1.96; p<0.001). In a multivariable Cox-regression model containing age, male sex, hypertension, diabetes, hypercholesterolaemia, present or former smoking, glomerular filtration rate, prior IHD, prior ischaemic stroke, hsCRP and plasma OPG, high concentrations of hsCRP and plasma OPG were independent predictors of the combined end-point. The two biomarkers interacted statistically (p<0.001). Compared to low hsCRP and low OPG (n=1927), either high hsCRP or high OPG (univariable HR 2.38, 95% CI 2.02 to 2.80, p<0.001; n=2816), or both high hsCRP and high OPG (univariable HR 5.13, 95% CI 4.29 to 6.13, p<0.001; n=775) conferred increased risk of the combined end-point. Conclusions OPG is an independent predictor of the combined end-point of hospitalisation of IHD, ischaemic stroke and all-cause mortality. The combination of plasma OPG and hsCRP provides more prognostic information than the individual effect of the two biomarkers.
引用
收藏
页码:106 / 110
页数:5
相关论文
共 50 条
  • [31] Carotid plaque in absence of traditional and non-traditional cardiovascular risk factors
    Oh, Pyung Chun
    Han, Seung Hwan
    Kim, Ju Seung
    Park, Jeong Beom
    Koh, Kwang Kon
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2010, 143 (03) : E57 - E59
  • [32] Detection of cardiovascular risk factors in patients with psychosis
    Vinas, Lydia
    Fernandez, Maribel
    San Emeterio, Luisa
    Martin-Lopez, Luis M.
    ATENCION PRIMARIA, 2011, 43 (07): : 386 - 387
  • [33] Traditional Cardiovascular Risk Factors Do Not Fully Explain the Risk of CAD Population in Colombia
    Aldana, Victor Gil
    Torres-Florez, Juan D.
    Paez-Canro, Carol
    CIRCULATION, 2023, 148
  • [34] Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction
    Yeong Chan Lee
    Jiho Cha
    Injeong Shim
    Woong-Yang Park
    Se Woong Kang
    Dong Hui Lim
    Hong-Hee Won
    npj Digital Medicine, 6
  • [35] Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction
    Lee, Yeong Chan
    Cha, Jiho
    Shim, Injeong
    Park, Woong-Yang
    Kang, Se Woong
    Lim, Dong Hui
    Won, Hong-Hee
    NPJ DIGITAL MEDICINE, 2023, 6 (01)
  • [36] THE ADDED VALUE OF AORTIC PWV BEYOND TRADITIONAL RISK FACTORS IN CARDIOVASCULAR RISK STRATIFICATION
    Benczur, B.
    Bocskei, R.
    Cziraki, A.
    Illyes, M.
    ATHEROSCLEROSIS, 2016, 252 : E218 - E219
  • [37] Cardiovascular Risk Assessment and Prevention in Cardio-Oncology Beyond Traditional Risk Factors
    Makram, Omar M.
    Nain, Priyanshu
    Vasbinder, Alexi
    Weintraub, Neal L.
    Guha, Avirup
    CARDIOLOGY CLINICS, 2025, 43 (01) : 1 - 11
  • [38] Risk factors for cardiovascular disease in children on chronic hemodialysis - Traditional (general) risk factors, Part I
    Sulovic, Ljiljana S.
    VOJNOSANITETSKI PREGLED, 2016, 73 (12) : 1149 - 1153
  • [39] Cardiovascular mortality risk in chronic kidney disease - Comparison of traditional and novel risk factors
    Shlipak, MG
    Fried, LF
    Cushman, M
    Manolio, TA
    Peterson, D
    Stehman-Breen, C
    Bleyer, A
    Newman, A
    Siscovick, D
    Psaty, B
    JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2005, 293 (14): : 1737 - 1745