Utilizing Clinical Trial Data to Assess Timing of Surgical Treatment for Emphysema Patients.

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Medical Decision Making Pub Date : 2023-01-01 DOI:10.1177/0272989X221132256
Maryam Alimohammadi, W Art Chaovalitwongse, Hubert J Vesselle, Shengfan Zhang
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Abstract

Background: Lung volume reduction surgery (LVRS) and medical therapy are 2 available treatment options in dealing with severe emphysema, which is a chronic lung disease. However, or there are currently limited guidelines on the timing of LVRS for patients with different characteristics.

Objective: The objective of this study is to assess the timing of receiving LVRS in terms of patient outcomes, taking into consideration a patient's characteristics.

Methods: A finite-horizon Markov decision process model for patients with severe emphysema was developed to determine the short-term (5 y) and long-term timing of emphysema treatment. Maximizing the expected life expectancy, expected quality-adjusted life-years, and total expected cost of each treatment option were applied as the objective functions of the model. To estimate parameters in the model, the data provided by the National Emphysema Treatment Trial were used.

Results: The results indicate that the treatment timing strategy for patients with upper-lobe predominant emphysema is to receive LVRS regardless of their specific characteristics. However, for patients with non-upper-lobe-predominant emphysema, the optimal strategy depends on the age, maximum workload level, and forced expiratory volume in 1 second level.

Conclusion: This study demonstrates the utilization of clinical trial data to gain insights into the timing of surgical treatment for patients with emphysema, considering patient age, observable health condition, and location of emphysema.

Highlights: Both short-term and long-term Markov decision process models were developed to assess the timing of receiving lung volume reduction surgery in patients with severe emphysema.How clinical trial data can be used to estimate the parameters and obtain short-term results from the Markov decision process model is demonstrated.The results provide insights into the timing of receiving lung volume reduction surgery as a function of a patient's characteristics, including age, emphysema location, maximum workload, and forced expiratory volume in 1 second level.

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利用临床试验数据评估肺气肿患者的手术治疗时机。
背景:肺减容手术(LVRS)和药物治疗是治疗严重肺气肿(一种慢性肺部疾病)的两种可行的治疗方法。然而,对于不同特征的患者,目前关于LVRS时机的指南有限。目的:本研究的目的是根据患者的特点,评估接受LVRS的时机。方法:建立严重肺气肿患者的有限视界马尔可夫决策过程模型,确定肺气肿的短期(5 y)和长期治疗时机。每个治疗方案的预期寿命、预期质量调整寿命年和总预期成本以最大化为模型的目标函数。为了估计模型中的参数,使用了国家肺气肿治疗试验提供的数据。结果:结果表明,对于上肺叶显性肺气肿患者,无论其具体特征如何,均应采用LVRS治疗。然而,对于非上叶为主的肺气肿患者,最佳策略取决于年龄、最大负荷水平和1秒内的用力呼气量。结论:本研究展示了利用临床试验数据来深入了解肺气肿患者的手术治疗时机,考虑患者的年龄、可观察到的健康状况和肺气肿的位置。重点:开发了短期和长期马尔可夫决策过程模型来评估严重肺气肿患者接受肺减容手术的时机。演示了如何使用临床试验数据来估计参数并从马尔可夫决策过程模型中获得短期结果。结果提供了接受肺减容手术的时机作为患者特征的函数的见解,包括年龄,肺气肿位置,最大工作量和1秒内的用力呼气量。
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来源期刊
Medical Decision Making
Medical Decision Making 医学-卫生保健
CiteScore
6.50
自引率
5.60%
发文量
146
审稿时长
6-12 weeks
期刊介绍: Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.
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