A prediction model based on platelet parameters, lipid levels, and angiographic characteristics to predict in-stent restenosis in coronary artery disease patients implanted with drug-eluting stents.
A prediction model based on platelet parameters, lipid levels, and angiographic characteristics to predict in-stent restenosis in coronary artery disease patients implanted with drug-eluting stents.
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基于血小板参数、血脂水平和血管造影特征的预测模型，用于预测植入药物洗脱支架的冠状动脉疾病患者的支架内再狭窄
DOI：
10.1186/s12944-021-01553-2
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发表时间：
2021-09-29
影响因子：
4.5
通讯作者：
Chen BD
中科院分区：
文献类型：
--
作者：
Gai MT;Zhu B;Chen XC;Liu F;Xie X;Gao XM;Ma X;Fu ZY;Ma YT;Chen BD
本研究旨在建立接受药物洗脱支架（DES）经皮冠状动脉介入治疗（PCI）受试者支架内再狭窄（ISR）的预测模型。进行了一项回顾性队列研究。从2010年9月至2013年9月，我们纳入了968例在直接PCI后接受冠状动脉随访血管造影的受试者。采用Logistic回归分析、受试者工作特征（ROC）分析、列线图分析、Hosmer-Lemeshow χ2统计量和校准曲线建立和评价预测模型。五十六例患者（5.79%）发生ISR。ISR组血小板分布宽度（PDW）、总胆固醇（TC）、收缩压（SBP）、低密度脂蛋白胆固醇（LDL-C）及病变血管与非ISR组比较差异均有统计学意义（均P < 0.05）。这些变量与ISR独立相关（P均< 0.05）。此外，它们被鉴定为预测因子（所有AUC > 0.5且P < 0.05）以建立预测模型。预测模型的曲线下面积（AUC）（95%CI）为0.72（0.64-0.80），最佳临界值为6.39，预测ISR的敏感性为71%，特异性为65%。在中国新疆人群中，植入DES的CAD患者中ISR的发生率为5.79%。基于PDW、SBP、TC、LDL-C和病变血管的预测模型是预测CAD患者植入DES后ISR的有效模型。
The present study was aimed to establish a prediction model for in-stent restenosis (ISR) in subjects who had undergone percutaneous coronary intervention (PCI) with drug-eluting stents (DESs). A retrospective cohort study was conducted. From September 2010 to September 2013, we included 968 subjects who had received coronary follow-up angiography after primary PCI. The logistic regression analysis, receiver operator characteristic (ROC) analysis, nomogram analysis, Hosmer–Lemeshow χ2 statistic, and calibration curve were applied to build and evaluate the prediction model. Fifty-six patients (5.79%) occurred ISR. The platelet distribution width (PDW), total cholesterol (TC), systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), and lesion vessels had significant differences between ISR and non-ISR groups (all P < 0.05). And these variables were independently associated with ISR (all P < 0.05). Furthermore, they were identified as predictors (all AUC > 0.5 and P < 0.05) to establish a prediction model. The prediction model showed a good value of area under curve (AUC) (95%CI): 0.72 (0.64–0.80), and its optimized cut-off was 6.39 with 71% sensitivity and 65% specificity to predict ISR. The incidence of ISR is 5.79% in CAD patients with DES implantation in the Xinjiang population, China. The prediction model based on PDW, SBP, TC, LDL-C, and lesion vessels was an effective model to predict ISR in CAD patients with DESs implantation.
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影响因子：
39.3
作者：
Byrne RA;Joner M;Kastrati A
通讯作者：
Kastrati A
DOI：
10.1177/1076029618771752
发表时间：
2018-11
期刊：
Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
影响因子：
--
作者：
Gabbasov Z;Kozlov S;Melnikov I;Byazrova S;Saburova O;Prokofieva L;Caprnda M;Curilla E;Gaspar L;Rodrigo L;Kruzliak P;Smirnov V
通讯作者：
Smirnov V
平均血小板体积作为颈动脉血管成形术和支架置入术后再狭窄的预测因子。
影响因子：
8.3
作者：
Dai, Zhengze;Gao, Jie;Xu, Gelin
通讯作者：
Xu, Gelin
影响因子：
3.8
作者：
Bakogiannis, Constantinos;Sachse, Marco;Stellos, Konstantinos
通讯作者：
Stellos, Konstantinos
影响因子：
24
作者：
Lee, Jong-Young;Park, Duk-Woo;Park, Seung-Jung
通讯作者：
Park, Seung-Jung