Prognostic implication of lipidomics in patients with coronary total occlusion undergoing PCI.
Prognostic implication of lipidomics in patients with coronary total occlusion undergoing PCI.
复制标题
脂质组学对接受 PCI 的冠状动脉完全闭塞患者的预后意义
DOI:
10.1111/eci.13826
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发表时间:
2022-11
影响因子:
5.5
通讯作者:
中科院分区:
文献类型:
--
作者:
Predictors of prognosis in patients with coronary chronic total occlusion (CTO) undergoing elective percutaneous coronary intervention (PCI) have remained lacking. Lipidomic profiling enables researchers to associate lipid species with disease progression and may improve the prediction of cardiovascular events. In the present study, 781 lipids were measured by targeted lipidomic profiling in 350 individuals (50 healthy controls, 50 patients with coronary artery disease and 250 patients with CTO). L1‐regularized logistic regression was used to identify lipid species associated with adverse cardiovascular events and create predicting models, which were verified by 10‐fold cross‐validation (200 repeats). Comparisons were made between a traditional model constructed with clinical characteristics alone and a combined model built with both lipidomic data and traditional factors. Twenty‐four lipid species were dysregulated exclusively in patients with CTO, most of which belonged to sphingomyelin (SM) and triacylglycerol (TAG). Compared with traditional risk factors, new model combining lipids and traditional factors had significantly improved performance in predicting adverse cardiovascular events in CTO patients after PCI (area under the curve, 0.870 vs. 0.726, p < .05; Akaike information criterion, 129 versus 156; net reclassification improvement, 0.312, p < .001; integrated discrimination improvement, 0.244, p < .001). Nomogram was built based on the incorporated model and proved efficient by Kaplan–Meier method. Lipidomic profiling revealed lipid species which may participate in the formation of CTO and could contribute to the risk stratification in CTO patients undergoing PCI.
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影响因子:
3.4
作者:
Laaksonen, Reijo
通讯作者:
Laaksonen, Reijo
影响因子:
16.2
作者:
Lu, Jieli;Lam, Sin Man;Wang, Weiqing
通讯作者:
Wang, Weiqing
DOI:
10.1038/s41574-021-00572-4
发表时间:
2021-12-01
期刊:
Nature reviews. Endocrinology
影响因子:
--
作者:
Greenhill, Claire
通讯作者:
Greenhill, Claire
影响因子:
6.5
作者:
Anroedh, Sharda;Hilvo, Mika;Kardys, Isabella
通讯作者:
Kardys, Isabella
影响因子:
37.8
作者:
Shah SH;Kraus WE;Newgard CB
通讯作者:
Newgard CB