Dun Chen, Columbo Jesse A, Hicks Caitlin W, Lehmann Harold P
Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Section of Vascular Surgery, Heart and Vascular Center, Dartmouth Hitchcock Medical Center, Lebanon, NH. Electronic address: https://twitter.com/ColumboJesse.
Surgery. 2025 Aug 8;186:109589. doi: 10.1016/j.surg.2025.109589.
Claudication, a symptom commonly associated with peripheral artery disease, affects approximately 30-40% of adults in the United States. A decision analysis is needed to integrate data, information, and knowledge from multiple sources about the stages of a patient's journey in this condition to assess the optimal treatment approach.
We designed a decision model including patient perspective and outcomes of claudication, peripheral vascular intervention, open surgical bypass, chronic limb-threatening ischemia, and amputation. Time horizon was 2 years and tradeoffs were expressed as "cost-effectiveness," with "cost" taken as number of procedures, and "effectiveness," the amount of time in claudication and/or recovery. The treatment alternatives were peripheral vascular intervention within 6 months of initial diagnosis of claudication (early peripheral vascular intervention) or peripheral vascular intervention >6 months after claudication diagnosis (to allow for guideline-directed conservative therapy first). Probabilities were derived from 100% Medicare fee-for-service claims data between January 2017 and December 2021. A Markov model was designed and populated for the 2 scenarios. The main outcomes included the estimated number of peripheral vascular interventions, estimated number of open bypass procedures, and total time in claudication. Using Monte Carlo Simulation, 1,000,000 patients were run through the model for the 2-year time horizon. Sensitivity analysis using propensity score matching was conducted to control for baseline differences between groups, matching patients on age, sex, race, and comorbidities.
A cohort comprising 445,305 patients newly diagnosed with claudication was identified, exhibiting a mean age of 76.2 years. Among these patients, 12,102 (2.7%) underwent early peripheral vascular intervention, whereas 433,203 (97.3%) had no early peripheral vascular intervention. The simulation demonstrated that patients who underwent an early peripheral vascular intervention experienced an estimated average of 3.6 peripheral vascular interventions over the 2 years, whereas those who did not undergo early peripheral vascular intervention averaged 0.3 PVIs over 2 years. Moreover, patients who underwent early peripheral vascular intervention were projected to undergo an average of 1.7 open bypass procedures subsequent to the initial diagnosis of claudication, whereas those who did not receive early peripheral vascular intervention were expected to undergo 0.8 open bypass procedures. The duration of time spent in a state of claudication was observed to be 190 days for patients who underwent early peripheral vascular intervention, in contrast to 360 days for those who did not receive early peripheral vascular intervention. After controlling for baseline characteristics such as age, sex, race, and comorbidities, the results remained consistent in the propensity score matched groups.
Our novel methodology used claims data to arrive at day-to-day transitions to assess the impact of early peripheral vascular intervention in the management of claudication among patients. Our findings reinforce professional guidelines that early peripheral vascular intervention may not confer beneficial outcomes to patients, potentially leading to adverse effects and necessitating further interventions. This study underscores the significance of health care informatics in harnessing data, technology, and analytical methodologies to enhance decision-making processes, optimize resource allocation, improve the quality-of-care delivery, and promote evidence-based practices within the health care domain.
间歇性跛行是一种通常与外周动脉疾病相关的症状,在美国约30%-40%的成年人中受其影响。需要进行决策分析,以整合来自多个来源的数据、信息和知识,了解患者在这种情况下的病程阶段,从而评估最佳治疗方法。
我们设计了一个决策模型,纳入了患者视角以及间歇性跛行、外周血管介入治疗、开放式手术搭桥、慢性肢体威胁性缺血和截肢的结果。时间跨度为2年,权衡以“成本效益”表示,“成本”为手术数量,“效益”为间歇性跛行和/或恢复的时间量。治疗方案为在间歇性跛行初步诊断后6个月内进行外周血管介入治疗(早期外周血管介入治疗)或在间歇性跛行诊断后>6个月进行外周血管介入治疗(先进行指南指导的保守治疗)。概率来自2017年1月至2021年12月100%的医疗保险按服务收费索赔数据。针对这两种情况设计并填充了一个马尔可夫模型。主要结果包括估计的外周血管介入治疗次数、估计的开放式搭桥手术次数以及间歇性跛行的总时间。使用蒙特卡洛模拟,在两年时间跨度内让100万名患者通过该模型。进行倾向得分匹配的敏感性分析以控制组间基线差异,根据年龄、性别、种族和合并症对患者进行匹配。
确定了一个由445305名新诊断为间歇性跛行的患者组成的队列,平均年龄为76.2岁。在这些患者中,12102名(2.7%)接受了早期外周血管介入治疗,而433203名(97.3%)未接受早期外周血管介入治疗。模拟表明,接受早期外周血管介入治疗的患者在2年内估计平均接受3.6次外周血管介入治疗,而未接受早期外周血管介入治疗的患者在2年内平均接受0.3次外周血管介入治疗。此外,可以预计,接受早期外周血管介入治疗的患者在间歇性跛行初步诊断后平均会接受1.7次开放式搭桥手术,而未接受早期外周血管介入治疗的患者预计会接受0.8次开放式搭桥手术。观察到接受早期外周血管介入治疗的患者处于间歇性跛行状态的时间为190天,而未接受早期外周血管介入治疗的患者为360天。在控制了年龄、性别、种族和合并症等基线特征后,倾向得分匹配组的结果仍然一致。
我们新颖的方法使用索赔数据得出日常转变情况,以评估早期外周血管介入治疗对患者间歇性跛行管理的影响。我们 的研究结果强化了专业指南,即早期外周血管介入治疗可能不会给患者带来有益结果,可能导致不良反应并需要进一步干预。本研究强调了医疗保健信息学在利用数据、技术 和分析方法以加强决策过程、优化资源分配、提高医疗服务质量以及在医疗保健领域促进循证实践方面的重要性。