Dake Michael D, Fanelli Fabrizio, Lottes Aaron E, O'Leary Erin E, Reichert Heidi, Jiang Xiaohui, Fu Weiguo, Iida Osamu, Zen Kan, Schermerhorn Marc, Zeller Thomas, Ansel Gary M
The University of Arizona, Health Sciences Innovation Building, 1670 East Drachman Street, 9th Floor SVP Suite, P.O. Box 210216, Tucson, AZ, 85721-0216, USA.
Department of Vascular and Interventional Radiology, "Careggi" University Hospital, Florence, Italy.
Cardiovasc Intervent Radiol. 2021 Feb;44(2):196-206. doi: 10.1007/s00270-020-02648-6. Epub 2020 Oct 6.
Develop a prediction model to determine the impact of patient and lesion factors on freedom from target lesion revascularization (ffTLR) for patients who are candidates for Zilver PTX drug-eluting stent (DES) treatment for femoropopliteal lesions.
Patient factors, lesion characteristics, and TLR results from five global studies were utilized for model development. Factors potentially associated with TLR (sex, age, diabetes, hypertension, hypercholesterolemia, renal disease, smoking status, Rutherford classification, lesion length, reference vessel diameter (RVD), popliteal involvement, total occlusion, calcification severity, prior interventions, and number of runoff vessels) were analyzed in a Cox proportional hazards model. Probability of ffTLR was generated for three example patient profiles via combinations of patient and lesion factors. TLR was defined as reintervention performed for ≥ 50% diameter stenosis after recurrent clinical symptoms.
The model used records from 2227 patients. The median follow-up time was 23.9 months (range: 0.03-60.8). The Kaplan-Meier estimates for ffTLR were 90.5% through 1 year and 75.2% through 5 years. In a multivariate analysis, sex, age, Rutherford classification, lesion length, RVD, total occlusion, and prior interventions were significant factors. The example patient profiles have predicted 1-year ffTLRs of 97.4, 92.3, and 86.0% and 5-year predicted ffTLRs of 92.8, 79.5, and 64.8%. The prediction model is available as an interactive web-based tool ( https://cooksfa.z13.web.core.windows.net ).
This is the first prediction model that uses an extensive dataset to determine the impact of patient and lesion factors on ffTLR through 5 years and provides an interactive web-based tool for expected patient outcomes with the Zilver PTX DES.
Zilver PTX RCT unique identifier: NCT00120406; Zilver PTX single-arm study unique identifier: NCT01094678; Zilver PTX China study unique identifier: NCT02171962; Zilver PTX US post-approval study unique identifier: NCT01901289; Zilver PTX Japan post-market surveillance study unique identifier: NCT02254837.
Zilver PTX RCT: Level 2, randomized controlled trial; Single-arm study: Level 4, large case series; China study: Level 4, case series; US post-approval study: Level 4, case series Japan PMS study: Level 4, large case series.
开发一种预测模型,以确定患者和病变因素对接受Zilver PTX药物洗脱支架(DES)治疗股腘病变患者的无靶病变血运重建(ffTLR)的影响。
利用五项全球研究中的患者因素、病变特征和血运重建结果进行模型开发。在Cox比例风险模型中分析了可能与血运重建相关的因素(性别、年龄、糖尿病、高血压、高胆固醇血症、肾病、吸烟状况、卢瑟福分级、病变长度、参考血管直径(RVD)、腘动脉受累情况、完全闭塞、钙化严重程度、既往干预措施以及流出道血管数量)。通过患者和病变因素的组合,为三个示例患者概况生成了ffTLR的概率。血运重建定义为在复发临床症状后对直径狭窄≥50%进行的再次干预。
该模型使用了2227例患者的记录。中位随访时间为23.9个月(范围:0.03 - 60.8)。ffTLR的Kaplan-Meier估计值在1年时为90.5%,在5年时为75.2%。在多变量分析中,性别、年龄、卢瑟福分级、病变长度、RVD、完全闭塞和既往干预措施是显著因素。示例患者概况预测的1年ffTLR分别为97.4%、92.3%和86.0%,5年预测的ffTLR分别为92.8%、79.5%和64.8%。该预测模型可作为基于网络的交互式工具获取(https://cooksfa.z13.web.core.windows.net)。
这是首个使用广泛数据集来确定患者和病变因素对5年ffTLR影响的预测模型,并为使用Zilver PTX DES的患者预期结果提供了基于网络的交互式工具。
Zilver PTX随机对照试验唯一标识符:NCT00120406;Zilver PTX单臂研究唯一标识符:NCT01094678;Zilver PTX中国研究唯一标识符:NCT02171962;Zilver PTX美国批准后研究唯一标识符:NCT01901289;Zilver PTX日本上市后监测研究唯一标识符:NCT02254837。
Zilver PTX随机对照试验:2级,随机对照试验;单臂研究:4级,大型病例系列;中国研究:4级,病例系列;美国批准后研究:4级,病例系列;日本上市后监测研究:4级,大型病例系列。