Jang Insil, Choo Sukjung, Kim Kyunghee
Department of Nursing, University of Ulsan, Ulsan, South Korea.
Department of Thoracic and Cardiovascular Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
J Heart Valve Dis. 2017 Mar;26(2):215-233.
Mechanical valve replacement is associated with positive outcomes, but patients must undergo life-long anticoagulation therapy with warfarin, which carries a significant risk of bleeding complications. Therefore, a systematic and continuous assessment and supervision of warfarin treatment is essential in such patients, and approaches that can predict the risk of bleeding in advance are required. The study aim was to develop a classification tool to predict bleeding events in South Korean patients with mechanical valve replacement undergoing oral warfarin therapy.
The retrospective cohort study included 2,453 patients followed up for at least one year after valve replacement surgery, between January 2003 and December 2012. Discriminant analysis was used to assess potential bleeding risk factors out of 31 patient- related and disease-related descriptors. The prediction capability of the descriptors was evaluated based on accuracy, sensitivity,specificity, positive predictive value, and negative predictive value.
A total of 13 descriptors including general, clinical-related and medication-related risk factors was selected as suitable predictors for bleeding risk. A novel classification tool was developed using these risk factors, and evaluated for accuracy (91.5%), sensitivity (80.2%), and specificity (95.2%).
The classification tool developed in the present study can be reliably used in a clinical context to predict bleeding events in patients with mechanical valve replacement undergoing oral warfarin therapy.
机械瓣膜置换术疗效良好,但患者必须终身接受华法林抗凝治疗,而这存在显著的出血并发症风险。因此,对此类患者进行系统且持续的华法林治疗评估与监测至关重要,还需要能够提前预测出血风险的方法。本研究旨在开发一种分类工具,以预测接受口服华法林治疗的韩国机械瓣膜置换患者的出血事件。
这项回顾性队列研究纳入了2003年1月至2012年12月期间瓣膜置换手术后至少随访一年的2453例患者。采用判别分析从31个与患者及疾病相关的描述指标中评估潜在的出血危险因素。基于准确性、敏感性、特异性、阳性预测值和阴性预测值对这些描述指标的预测能力进行评估。
共筛选出包括一般、临床相关及用药相关危险因素在内的13个描述指标作为出血风险的合适预测因子。利用这些危险因素开发了一种新型分类工具,并对其准确性(91.5%)、敏感性(80.2%)和特异性(95.2%)进行了评估。
本研究开发的分类工具可在临床环境中可靠地用于预测接受口服华法林治疗的机械瓣膜置换患者的出血事件。