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年龄-胆红素-国际标准化比值(INR)-肌酐(ABIC)评分,一种预测冠心病患者PCI术后长期死亡率的潜在模型

Age-Bilirubin-International Normalized Ratio (INR)-Creatinine (ABIC) Score, a Potential Prognostic Model for Long-Term Mortality of CAD Patients After PCI.

作者信息

Wu Ting-Ting, Pan Ying, Zheng Ying-Ying, Yang Yi, Hou Xian-Geng, Deng Chang-Jiang, Ma Yi-Tong, Xie Xiang

机构信息

Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.

出版信息

J Inflamm Res. 2023 Jan 26;16:333-341. doi: 10.2147/JIR.S394502. eCollection 2023.

DOI:10.2147/JIR.S394502
PMID:36726791
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9885769/
Abstract

BACKGROUND

Given that age, international normalized ratio (INR), total bilirubin, and creatinine are reported to be independent risk factors for predicting outcome in patients with coronary artery disease (CAD), it is possible that the age-bilirubin-INR-creatinine (ABIC) score might be a potential prognostic model for patients with CAD.

METHODS

A total of 6046 CAD patients after percutaneous coronary intervention (PCI) from the retrospective cohort study (Identifier: ChiCTR-ORC-16010153) were evaluated finally. The primary outcome long-term mortality and secondary endpoints mainly major adverse cardiovascular and cerebrovascular events (MACCEs) were recorded. Multivariate Cox regression models were used to determine risk factors for mortality and MACCEs.

RESULTS

The ABIC score was significantly higher in the death group than in the survival group. After adjusting for other CAD risk factors, the ABIC score was identified to be an independent risk factor for long-term mortality by multivariate Cox analysis. When in the high ABIC group, the incidence of all-cause mortality would increased 1.7 times (adjusted HR=1.729 (1.347-2.218), <0.001), and 1.5 times for cardiac death (adjusted HR=1.482 (1.126-1.951), =0.005).

CONCLUSION

The present study indicated that ABIC score≥7.985 predicts high long-term mortality and cardiac death risk for PCI patients. The ABIC score might be a potential prognostic model for patients with PCI.

摘要

背景

鉴于年龄、国际标准化比值(INR)、总胆红素和肌酐据报道是预测冠心病(CAD)患者预后的独立危险因素,年龄 - 胆红素 - INR - 肌酐(ABIC)评分有可能成为CAD患者的潜在预后模型。

方法

最终评估了来自回顾性队列研究(标识符:ChiCTR - ORC - 16010153)的6046例经皮冠状动脉介入治疗(PCI)后的CAD患者。记录主要结局长期死亡率和次要终点主要不良心血管和脑血管事件(MACCEs)。使用多变量Cox回归模型确定死亡率和MACCEs的危险因素。

结果

死亡组的ABIC评分显著高于生存组。在调整其他CAD危险因素后,多变量Cox分析确定ABIC评分为长期死亡率的独立危险因素。当处于高ABIC组时,全因死亡率的发生率将增加1.7倍(调整后HR = 1.729(1.347 - 2.218),<0.001),心源性死亡增加1.5倍(调整后HR = 1.482(1.126 - 1.951),= 0.005)。

结论

本研究表明,ABIC评分≥7.985预测PCI患者的高长期死亡率和心源性死亡风险。ABIC评分可能是PCI患者的潜在预后模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0986/9885769/26f6987ba748/JIR-16-333-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0986/9885769/d85e36d5c34d/JIR-16-333-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0986/9885769/26f6987ba748/JIR-16-333-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0986/9885769/d85e36d5c34d/JIR-16-333-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0986/9885769/26f6987ba748/JIR-16-333-g0002.jpg

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