Degeling Koen, Tagimacruz Toni, MacDonald Karen V, Seeger Trevor A, Fooks Katharine, Venkataramanan Viji, Boycott Kym M, Bernier Francois P, Mendoza-Londono Roberto, Hartley Taila, Hayeems Robin Z, Marshall Deborah A
Cancer Health Services Research, Centre for Health Policy and Centre for Cancer Research, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia.
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
Appl Health Econ Health Policy. 2025 May;23(3):453-466. doi: 10.1007/s40258-024-00936-7. Epub 2024 Dec 30.
Patients with suspected rare diseases often experience lengthy and uncertain diagnostic pathways. This study aimed to estimate the cost-effectiveness of exome sequencing (ES) in different positions in the diagnostic pathway for patients suspected of having a rare genetic disease.
Data collected retrospectively from 305 patients suspected of having a rare genetic disease (RGD), who received clinical-grade ES and participated in the Canadian multicentre Care4Rare-SOLVE study, informed a discrete event simulation of the diagnostic pathway. We distinguished between tests that can lead to the diagnosis of a specific RGD ('indicator tests') and more routine non-RGD diagnostic tests ('non-indicator tests'). Five strategies were considered: no-ES, and ES as 1st, 2nd, 3rd, or 4th test (Tier 1, Tier 2, Tier 3, and Tier 4, respectively), where ES was the final test in the diagnostic pathway if included. Outcomes included the diagnostic yield, time-to-diagnosis, time on the diagnostic pathway, and test costs for each strategy. The cost-effectiveness analysis from a Canadian healthcare system perspective was conducted with diagnostic yield as the primary outcome of interest. Probabilistic analyses and expert-defined scenario analyses quantified uncertainty.
Implementing ES increases the diagnostic yield by 16 percentage points from 20% with no-ES to 36%. Exome sequencing, as the first test (Tier 1), resulted in the shortest time to a diagnosis and the lowest testing cost. Mean testing costs per patient were CAD4347 (95% CI 3925, 4788) for no-ES, CAD2458 (95% CI 2406, 2512) for Tier 1, CAD3851 (95% CI 3684, 4021) for Tier 2, CAD5246 (95% CI 4956, 5551) for Tier 3 and CAD6422 (95% CI 5954, 6909) for Tier 4, with Tier 1 having the highest diagnostic yield at the lowest cost. The scenario analyses yielded results consistent with those of the base case.
Implementing ES to diagnose patients suspected of having a RGD can result in a higher diagnostic yield. Although a limitation of our study was that the yield for the non-ES indicator tests was estimated using expert opinion due to a lack of available data, the results underscore the value of ES as a first-line diagnostic test, offering reduced time to diagnosis and lower overall testing costs.
疑似患有罕见病的患者通常要经历漫长且不确定的诊断过程。本研究旨在评估外显子组测序(ES)在疑似患有罕见遗传病患者诊断流程中不同位置的成本效益。
回顾性收集305例疑似患有罕见遗传病(RGD)患者的数据,这些患者接受了临床级别的ES检测并参与了加拿大多中心Care4Rare-SOLVE研究,这些数据为诊断流程的离散事件模拟提供了信息。我们区分了可导致特定RGD诊断的检测(“指示性检测”)和更常规的非RGD诊断检测(“非指示性检测”)。考虑了五种策略:不进行ES检测,以及ES作为第一次、第二次、第三次或第四次检测(分别为第1层、第2层、第3层和第4层),如果采用ES检测,则ES为诊断流程中的最后一项检测。结果包括每种策略的诊断率、确诊时间、在诊断流程上花费的时间以及检测成本。从加拿大医疗系统的角度进行成本效益分析,将诊断率作为主要关注结果。概率分析和专家定义的情景分析对不确定性进行了量化。
实施ES检测使诊断率从不进行ES检测时的20%提高了16个百分点,达到36%。外显子组测序作为第一次检测(第1层)时,确诊时间最短,检测成本最低。不进行ES检测时,每位患者的平均检测成本为4347加元(95%置信区间3925, 4788),第1层为2458加元(95%置信区间2406, 2512),第2层为3851加元(9%置信区间3684, 4021),第3层为5246加元(95%置信区间4956, 5551),第4层为6422加元(95%置信区间5954, 6909),第1层以最低成本获得了最高的诊断率。情景分析得出的结果与基础案例一致