Liang Bo, Li Rui, Lu Jia, Tian Xiao-Jie, Gu Ning
Nanjing University of Chinese Medicine, Nanjing, China; Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Nanjing University of Chinese Medicine, Nanjing, China.
Explore (NY). 2023 Jul-Aug;19(4):528-535. doi: 10.1016/j.explore.2022.10.018. Epub 2022 Oct 28.
Credible diagnostic stratification remains a challenge for coronary artery disease patients with clopidogrel resistance after percutaneous coronary intervention. Tongue diagnostic parameters-based diagnostic signatures might predict clopidogrel resistance.
Clinical and tongue diagnostic parameters data were obtained from coronary artery disease patients with clopidogrel resistance after percutaneous coronary intervention patients and then analyzed. Tongue diagnostic parameters-based diagnostic signatures were developed through univariate and multivariate logistic regression analysis. The diagnostic prediction was assessed using a receiver operating characteristic curve.
A total of 101 patients were consecutively identified. Then, tongue diagnostic parameters were identified as significantly associated with clopidogrel resistance diagnosis and were combined with risk factors to develop a model. The receiver operating characteristic curve analysis showed that tongue diagnostic parameters-based diagnostic signatures performed well in diagnosing clopidogrel resistance with an area under the receiver operating characteristic curve value of 0.819.
This study identified a novel tongue diagnostic parameters-based diagnostic signature to reliably distinguish clopidogrel resistance diagnosis in coronary artery disease patients undergoing percutaneous coronary intervention. Further larger, multicenter prospective studies are desired to validate this model.
对于经皮冠状动脉介入治疗后出现氯吡格雷抵抗的冠心病患者,可靠的诊断分层仍然是一项挑战。基于舌诊诊断参数的诊断特征可能预测氯吡格雷抵抗。
获取经皮冠状动脉介入治疗后出现氯吡格雷抵抗的冠心病患者的临床和舌诊诊断参数数据,然后进行分析。通过单因素和多因素逻辑回归分析建立基于舌诊诊断参数的诊断特征。使用受试者工作特征曲线评估诊断预测。
共连续纳入101例患者。然后,确定舌诊诊断参数与氯吡格雷抵抗诊断显著相关,并与危险因素相结合建立模型。受试者工作特征曲线分析表明,基于舌诊诊断参数的诊断特征在诊断氯吡格雷抵抗方面表现良好,受试者工作特征曲线下面积值为0.819。
本研究确定了一种基于舌诊诊断参数的新型诊断特征,可可靠地区分接受经皮冠状动脉介入治疗的冠心病患者的氯吡格雷抵抗诊断。需要进一步开展更大规模的多中心前瞻性研究来验证该模型。