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首页|残粒脂蛋白胆固醇及非高密度脂蛋白胆固醇之间的不一致性与冠状动脉狭窄严重程度的相关性研究

残粒脂蛋白胆固醇及非高密度脂蛋白胆固醇之间的不一致性与冠状动脉狭窄严重程度的相关性研究

orrelation of Discordance between Remnant Lipoprotein Cholesterol and Non-high-density Lipoprotein Cholesterol and Severity of Coronary Stenosis

中文摘要英文摘要

背景 ?已有研究表明血脂之间的不一致性与冠心病患者发生严重冠脉事件相关,可能会导致冠脉事件的发生风险被高估或低估。目前残粒脂蛋白胆固醇(RLP-C)与非高密度脂蛋白胆固醇(non-HDL-C)之间不一致性的临床意义尚不明确。目的 ?确定RLP-C和non-HDL-C之间的不一致性与冠心病患者冠状动脉狭窄严重程度的相关性。方法 ?回顾性分析既往血压正常高值队列研究数据库中具备完整冠脉造影记录且Gensini评分可完整计算的患者共421例,根据队列中RLP-C和non-HDL-C水平的中位数将纳入患者分为4组:一致低RLP-C组:RLP-C<RLP-C中位数且non-HDL-C<non-HDL-C中位数,不一致低RLP-C组:RLP-C<RLP-C中位数且non-HDL-C≥non-HDL-C中位数,不一致高RLP-C组:RLP-C≥RLP-C中位数且non-HDL-C<non-HDL-C中位数和一致高RLP-C组:RLP-C≥RLP-C中位数且non-HDL-C≥non-HDL-C中位数。采用Gensini评分系统评估冠状动脉狭窄的严重程度。比较4组患者的基线资料,通过Pearson线性相关分析RLP-C和non-HDL-C之间的相关性,通过Logistic回归分析探究RLP-C和non-HDL-C之间的不一致性与冠状动脉狭窄严重程度的相关性。结果 ?纳入的患者中有34%(136/398)合并血脂不一致现象。一致低RLP-C组、不一致低RLP-C组、不一致高RLP-C组和一致高RLP-C组中分别有15%、19%、32%和25%的患者出现严重冠状动脉狭窄。Logistic回归分析结果显示,RLP-C和non-HDL-C的不一致性与冠状动脉狭窄严重程度之间无显著相关性(P<0.05)。分别选取不一致低RLP-C组和不一致高RLP-C组与一致组进行Logistic回归分析,结果显示,在校正性别、年龄、吸烟、饮酒、他汀类药物使用情况和是否患有糖尿病等混杂因素后,不一致亚组中低RLP-C与患者发生严重冠状动脉狭窄无关(OR=0.958,95%CI:0.473-1.939,P=0.905),而高RLP-C与患者发生严重冠状动脉狭窄相关(OR=2.084,95%CI:0.1.110-3.912,P=0.022)。此外,经多因素Logistic回归模型校正后,RLP-C仍是严重冠状动脉狭窄风险的强预测因子(OR=1.911,95%CI:1.253-2.914)。结论 ?合并高RLP-C和低non-HDL-C水平患者中RLP-C和non-HDL-C的不一致性与其冠状动脉狭窄的严重程度程度相关,未来有潜力成为在传统血脂指标基础上用以预测冠心病患者发生严重冠状动脉狭窄的新型预测因素,并且独立于年龄、性别和其他危险因素。

Background? Discordance between blood lipids has been shown to be associated with the occurrence of serious coronary events in patients with coronary artery diseaseCADwhich may lead to the overestimation or underestimation of the risk of coronary events. The clinical significance of discordance between residual lipoprotein cholesterolRLP-Cand non-high-density-lipoprotein cholesterolnon-HDL-Cstill remains unclear in present. Objective? To determine the correlation of discordance between RLP-C and non-HDL-C and the severity of coronary artery stenosis in patients with CAD. Methods? A total of 421 patients with complete coronary angiographic records and Gensini score which can be fully calculated from a previous normal high blood pressure cohort study database were retrospectively analyzed and divided into 4 groups based on the median RLP-C and non-HDL-C levels in the cohortincluding concordantly low RLP-C groupRLP-C<medianRLP-C and non-HDL-C<mediannon-HDL-Cdiscordantly low RLP-C groupRLP-C<medianRLP-C and non-HDL-C ≥ mediannon-HDL-Cdiscordantly high RLP-C groupRLP-C ≥ medianRLP-C and non-HDL-C< mediannon-HDL-Cconcordantly high RLP-C groupRLP-C ≥ medianRLP-C and non-HDL-C ≥ mediannon-HDL-C. The severity of coronary stenosis was evaluated by using the Gensini scoring system. The baseline data was compared among the 4 groups and the correlation between RLP-C and non-HDL-C was analyzed by Pearson's linear correlation. The correlation of discordance between RLP-C and non-HDL-C and severity of coronary stenosis was explored by Logistic regression analysis. Results? Discordance were observed in 34%136/398 of the included patients. Severe coronary stenosis was observed in 15%19%32%and 25% of patients in the concordantly low RLP-C groupdiscordantly low RLP-C groupdiscordantly high RLP-C group and concordantly high RLP-C group. Logistic regression analysis results showed that there was no significant correlation of discordance between RLP-C and non-HDL-C and severity of coronary artery stenosisP<0.05. Logistic regression analysis results of the patients in discordantly low RLP-C group and discordantly high RLP-C group showed that after adjusting for confounders such as sexagesmokingalcohol consumptionstatin application and presence of diabetesthe low RLP-C level was not associated with the development of severe coronary stenosis OR=0.95895%CI0.473-1.939P=0.905high RLP-C was associated with the development of severe coronary artery disease OR=2.08495%CI0.1.110-3.912P=0.022 in patients in the discordantly groups. In additionRLP-C remained a strong predictor of the risk of severe coronary artery diseaseOR=1.91195%CI 1.253-2.914after multivariate Logistic regression model adjustment. Conclusion? The discordance between RLP-C and non-HDL-C is correlated with severity of coronary stenosis in patients with high RLP-C and low non-HDL-C levelswhich has the potential to be a novel risk factor for predicting severe coronary stenosis in CAD patients on the basis of traditional lipid indicatorsindependent of agesex and other risk factors.

陈焱、赵昕、吕智博

10.12114/j.issn.1007-9572.2022.0812

内科学基础医学临床医学

冠状动脉疾病动脉粥样硬化残粒脂蛋白胆固醇非高密度脂蛋白胆固醇不一致性

oronary artery diseasetherosclerosisRemnant lipoprotein-cholesterolNon-high-density- lipoprotein cholesteroliscordance

陈焱,赵昕,吕智博.残粒脂蛋白胆固醇及非高密度脂蛋白胆固醇之间的不一致性与冠状动脉狭窄严重程度的相关性研究[EB/OL].(2023-03-28)[2025-08-17].https://chinaxiv.org/abs/202303.10320.点此复制

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