Negative Risk Markers for Cardiovascular Risk Evaluation in Chinese Adults.
Negative Risk Markers for Cardiovascular Risk Evaluation in Chinese Adults.
复制标题
中国成人心血管风险评估的阴性风险标志物
DOI:
10.3389/fcvm.2022.800671
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发表时间:
2022
影响因子:
3.6
通讯作者:
Xu Y
中科院分区:
文献类型:
--
作者:
Bie L;Niu J;Wu S;Zheng R;Xu M;Lu J;Wang T;Zhao Z;Wang S;Lin H;Dai M;Zhang D;Chen Y;Bi Y;Wang W;Ning G;Li M;Xu Y
Background The atherosclerotic cardiovascular disease (ASCVD) risk predicted by traditional risk factors is used to guide preventive treatment. We aimed to investigate whether preferable levels of non-traditional emerging risk factors (i.e., negative risk markers) could downgrade the predicted ASCVD risk beyond traditional risk factors. Methods A total of 7,568 Chinese adults aged ≥ 40 years were followed up during 2010–2015. Negative risk markers including non-traditional lipids, urinary albumin-to-creatinine ratio, electrocardiogram (ECG), and measurements of atherosclerosis were evaluated using diagnostic likelihood ratio (DLR) and continuous net reclassification index (NRI) for their ability to downshift predicted CVD risk in the overall study population and in participants with intermediate (traditional risk factor predicted ASCVD risk 7.5% to 19.9%) or high risk (≥20%). Results During a median follow-up of 4.5 years, 416 participants developed CVD events including non-fatal myocardial infarction, non-fatal stroke, and cardiovascular death. Among negative risk markers examined, lipoprotein(a) ≤ 10th percentile (5 mg/dL), normal ECG, and carotid intima-media thickness (CIMT) ≤ 25th percentile (0.5 mm) provided moderate CVD risk reclassification and downward changes in pre- to post-test risk on top of the traditional CVD risk factors, especially in high-risk participants. The DLRs were 0.41, 0.75, and 0.41, and the NRIs were 18, 22, and 14% for lipoprotein(a), ECG, and CIMT, respectively in high-risk participants. Conclusions Lipoprotein(a) ≤ 5 mg/dL, normal ECG, and CIMT ≤ 0.5 mm might be used as negative non-traditional risk markers to correctly downgrade predicted ASCVD risk in Chinese adults.
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影响因子:
8.3
作者:
Elias-Smale, Suzette E.;Kavousi, Maryam;Witteman, Jacqueline C. M.
通讯作者:
Witteman, Jacqueline C. M.
影响因子:
37.8
作者:
Blaha MJ;Cainzos-Achirica M;Greenland P;McEvoy JW;Blankstein R;Budoff MJ;Dardari Z;Sibley CT;Burke GL;Kronmal RA;Szklo M;Blumenthal RS;Nasir K
通讯作者:
Nasir K
影响因子:
168.9
作者:
Matsushita, Kunihiro;van der Velde, Marije;Astor, Brad C.;Woodward, Mark;Levey, Andrew S.;de Jong, Paul E.;Coresh, Josef;Gansevoort, Ron T.
通讯作者:
Gansevoort, Ron T.
影响因子:
24
作者:
Jorgensen, Peter Godsk;Jensen, Jan S.;Mogelvang, Rasmus
通讯作者:
Mogelvang, Rasmus
影响因子:
39.3
作者:
Verbeek R;Hoogeveen RM;Langsted A;Stiekema LCA;Verweij SL;Hovingh GK;Wareham NJ;Khaw KT;Boekholdt SM;Nordestgaard BG;Stroes ESG
通讯作者:
Stroes ESG