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利用一种新的工具变量方法对观察性时间事件数据进行风险调整后,比较颈动脉内膜切除术与颈动脉支架置入术的长期死亡率。

Comparing Long-term Mortality After Carotid Endarterectomy vs Carotid Stenting Using a Novel Instrumental Variable Method for Risk Adjustment in Observational Time-to-Event Data.

机构信息

The Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire.

Section of Vascular Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.

出版信息

JAMA Netw Open. 2018 Sep 7;1(5):e181676. doi: 10.1001/jamanetworkopen.2018.1676.

Abstract

IMPORTANCE

Choosing between competing treatment options is difficult for patients and clinicians when results from randomized and observational studies are discordant. Observational real-world studies yield more generalizable evidence for decision making than randomized clinical trials, but unmeasured confounding, especially in time-to-event analyses, can limit validity.

OBJECTIVES

To compare long-term survival after carotid endarterectomy (CEA) and carotid artery stenting (CAS) in real-world practice using a novel instrumental variable method designed for time-to-event outcomes, and to compare the results with traditional risk-adjustment models used in observational research for survival analyses.

DESIGN, SETTING, AND PARTICIPANTS: A multicenter cohort study was performed. The Vascular Quality Initiative, an observational quality improvement registry, was used to compare long-term mortality after CEA vs CAS. The study included 86 017 patients who underwent CEA (n = 73 312) or CAS (n = 12 705) between January 1, 2003, and December 31, 2016. Patients were followed up for long-term mortality assessment by linking the registry data to Medicare claims. Medicare claims data were available through September 31, 2015.

EXPOSURE

Procedure type (CEA vs CAS).

MAIN OUTCOMES AND MEASURES

The hazard ratios (HRs) of all-cause mortality using unadjusted, adjusted, propensity-matched, and instrumental variable methods were examined. The instrumental variable was the proportion of CEA among the total carotid procedures (endarterectomy and stenting) performed at each hospital in the 12 months before each patient's index operation and therefore varies over the study period.

RESULTS

Participants who underwent CEA had a mean (SD) age of 70.3 (9.4) years compared with 69.1 (10.4) years for CAS, and most were men (44 191 [60.4%] for CEA and 8117 [63.9%] for CAS). The observed 5-year mortality was 12.8% (95% CI, 12.5%-13.2%) for CEA and 17.0% (95% CI, 16.0%-18.1%) for CAS. The unadjusted HR of mortality for CEA vs CAS was 0.67 (95% CI, 0.64-0.71), and Cox-adjusted and propensity-matched HRs were similar (0.69; 95% CI, 0.65-0.74 and 0.71; 95% CI, 0.65-0.77, respectively). These findings are comparable with published observational studies of CEA vs CAS. However, the association between CEA and mortality was more modest when estimated by instrumental variable analysis (HR, 0.83; 95% CI, 0.70-0.98), a finding similar to data reported in randomized clinical trials.

CONCLUSIONS AND RELEVANCE

The study found a survival advantage associated with CEA over CAS in unadjusted and Cox-adjusted analyses. However, this finding was more modest when using an instrumental variable method designed for time-to-event outcomes for risk adjustment. The instrumental variable-based results were more similar to findings from randomized clinical trials, suggesting this method may provide less biased estimates of time-dependent outcomes in observational analyses.

摘要

重要性

当随机和观察性研究的结果不一致时,患者和临床医生在选择竞争治疗方案时会感到困难。观察性真实世界研究比随机临床试验更能为决策提供更具普遍性的证据,但未测量的混杂因素,尤其是在时间事件分析中,会限制有效性。

目的

使用专为时间事件结果设计的新工具变量方法,比较颈动脉内膜切除术 (CEA) 和颈动脉支架置入术 (CAS) 在真实世界实践中的长期生存情况,并将结果与用于生存分析的观察性研究中的传统风险调整模型进行比较。

设计、地点和参与者:进行了一项多中心队列研究。血管质量倡议 (Vascular Quality Initiative) 是一个观察性质量改进登记处,用于比较 CEA 与 CAS 后的长期死亡率。该研究包括 2003 年 1 月 1 日至 2016 年 12 月 31 日期间接受 CEA (n = 73,312) 或 CAS (n = 12,705) 的 86,017 名患者。通过将登记处数据与医疗保险索赔相联系,对患者进行长期死亡率评估。医疗保险索赔数据可通过 2015 年 9 月 31 日获得。

暴露

手术类型 (CEA 与 CAS)。

主要结果和措施

使用未调整、调整、倾向匹配和工具变量方法检查全因死亡率的风险比 (HRs)。工具变量是每个患者索引手术前 12 个月内每个医院进行的颈动脉手术(内膜切除术和支架置入术)中 CEA 的比例,因此在研究期间有所变化。

结果

接受 CEA 的参与者平均(SD)年龄为 70.3(9.4)岁,而接受 CAS 的参与者平均年龄为 69.1(10.4)岁,大多数参与者为男性(CEA 44,191 [60.4%],CAS 8117 [63.9%])。观察到的 5 年死亡率为 CEA 为 12.8%(95%CI,12.5%-13.2%),CAS 为 17.0%(95%CI,16.0%-18.1%)。CEA 与 CAS 死亡率的未调整 HR 为 0.67(95%CI,0.64-0.71),Cox 调整和倾向匹配 HR 相似(0.69;95%CI,0.65-0.74 和 0.71;95%CI,0.65-0.77,分别)。这些发现与 CEA 与 CAS 的已发表观察性研究结果相当。然而,当使用专为时间事件风险调整设计的工具变量分析时,CEA 与死亡率之间的关联更为温和(HR,0.83;95%CI,0.70-0.98),这一发现与随机临床试验报告的数据相似。

结论和相关性

该研究发现,未经调整和 Cox 调整分析中,CEA 与 CAS 相比具有生存优势。然而,当使用专为时间事件结果设计的工具变量方法进行风险调整时,这一发现更为温和。基于工具变量的结果与随机临床试验的结果更为相似,表明该方法可能为观察性分析中的时间依赖性结果提供更无偏倚的估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5883/6324509/3c984aa1d3a9/jamanetwopen-1-e181676-g001.jpg

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