How health technology assessment can help to address challenges in drug repurposing: a conceptual framework.

Drug repurposing faces various challenges that can impede its success. We developed a framework outlining key challenges in drug repurposing to explore when and how health technology assessment (HTA) methods can address them. We identified 20 drug-repurposing challenges across the categories of data access, research and development, collaboration, business case, regulatory and legal challenges. Early incorporation of HTA methods, including literature review, empirical research, stakeholder consultation, health economic evaluation and uncertainty assessment, can help to address these challenges. HTA methods canassess the value proposition of repurposed drugs, inform further research and ultimately help to bring cost-effective repurposed drugs to patients.

Use of Efficiency Frontiers to Align Prices and Clinical Benefits of Biologic Therapies for Plaque Psoriasis.

Importance: The US lacks a systematic approach for aligning drug prices with clinical benefit, and traditional cost-effectiveness analysis (CEA) faces political obstacles. The efficiency frontier (EF) method offers policymakers an alternative approach. Objective: To assess how the EF approach could align prices and clinical benefits of biologic medications for plaque psoriasis and estimate price reductions in the US vs 4 peer countries: Australia, Canada, France, and Germany. Design and Setting: This health economic evaluation used the EF approach to compare the prices and clinical benefits of 11 biologics and 2 biosimilars for plaque psoriasis in the US, Australia, Canada, France, and Germany. Data were collected from February to March 2023 and analyzed from March to June 2023. Main Outcome Measures: EFs were constructed based on each biologic's efficacy, measured using the Psoriasis Area and Severity Index (PASI) 90 response rate, and annual treatment cost as of January 2023; US costs were net of estimated manufacturer rebates. Prices based on the EF were compared with traditional CEA-based prices calculated by the Institute for Clinical and Economic Review at a threshold of $150 000 per quality-adjusted life-year gained. Results: Among 13 biologics, PASI 90 response rates ranged from 17.9% (etanercept) to 71.6% (risankizumab); US net annual treatment costs ranged from $1664 (infliximab-dyyb) to $79 277 (risankizumab). The median (IQR) net annual treatment cost was higher in the US ($34 965 [$20 493-$48 942]) than prerebate costs in Australia ($9179 [$6691-$12 688]), Canada ($15 556 [$13 017-$16 112]), France ($9478 [$6637-$11 678]), and Germany ($13 829 [$13 231-$15 837]). The US EF included infliximab-dyyb (PASI 90: 57.4%; annual cost: $1664), ixekizumab (PASI 90: 70.8%; annual cost: $33 004), and risankizumab (PASI 90: 71.6%; annual cost: $79 277). US prices for psoriasis biologics would need to be reduced by a median (IQR) of 71% (31%-95%) to align with those estimated using the EF; the same approach would yield smaller price reductions in Canada (41% [6%-57%]), Australia (36% [0%-65%]), France (19% [0%-67%]), and Germany (11% [8%-26%]). Except for risankizumab, the EF-based prices were lower than the prices based on traditional CEA. Conclusions and Relevance: This economic evaluation showed that for plaque psoriasis biologics, using an EF approach to negotiate prices could lead to substantial price reductions and better align prices with clinical benefits. US policymakers might consider using EFs to achieve prices commensurate with comparative clinical benefits, particularly for drug classes with multiple therapeutic alternatives for which differences can be adequately summarized by a single outcome measurement.

Estimated Spending on Beremagene Geperpavec for Dystrophic Epidermolysis Bullosa.

Importance: New gene therapies can offer substantial benefits to patients, particularly those with rare diseases who have few therapeutic options. In May 2023, the US Food and Drug Administration (FDA) approved the first topical gene therapy, beremagene geperpavec (B-VEC), for treating both autosomal recessive and autosomal dominant dystrophic epidermolysis bullosa (DEB). However, FDA approval was based on limited data in patients with autosomal dominant disease, even though they comprise approximately 50% of all DEB cases. Objective: To estimate projected spending in the US on B-VEC therapy for treating autosomal recessive and autosomal dominant DEB. Design, Setting, and Participants: This economic evaluation used data from the National Epidermolysis Bullosa Registry to estimate the current population of US patients with autosomal dominant and autosomal recessive DEB, with the aim of estimating US spending on B-VEC therapy from an all-payers perspective during 1- and 3-year periods after FDA approval. A base-case cost of $300 000 per patient per year was assumed based on a report from the manufacturer (Krystal Biotech). Exposure: Treatment with B-VEC. Main Outcomes and Measures: Estimated overall spending on B-VEC in the first year and over a 3-year period after FDA approval. Several prespecified sensitivity analyses with different assumptions about the eligible patient population and the cost of therapy were performed, and lifetime total costs of treatment per patient were estimated. Results: The estimated number of US patients with DEB who were eligible for treatment with B-VEC in the first year after FDA approval was 894. The estimated total expenditure for B-VEC therapy was $268 million (range, $179 million-$357 million). Over a 3-year period, estimated spending was $805 million (range, $537 million-$1.1 billion). Estimated lifetime total costs per patient were $15 million (range, $10 million-$20 million) per patient with autosomal recessive DEB and $17 million (range, $11 million-$22 million) for patients with autosomal dominant DEB. Conclusions and Relevance: Results of this economic evaluation suggest that the FDA's broad indication for the use of B-VEC in treating both autosomal recessive and autosomal dominant DEB will have significant implications for payers.

High Cost of Chimeric Antigen Receptor T-Cells: Challenges and Solutions.

Chimeric antigen receptor (CAR) T-cells are a cellular immunotherapy with remarkable efficacy in treating multiple hematologic malignancies but they are associated with extremely high prices that are, for many countries, prohibitively expensive. As their use increases both for hematologic malignancies and other indications, and large numbers of new cellular therapies are developed, novel approaches will be needed both to reduce the cost of therapy, and to pay for them. We review the many factors that lead to the high cost of CAR T-cells and offer proposals for reform.

Health technology assessment for cancer medicines across the G7 countries and Oceania: an international, cross-sectional study.

BACKGROUND: Criticisms have emerged that cancer medicines offer modest benefits at increasingly high prices. Reimbursement decisions made by health technology assessment (HTA) agencies have become a complex endeavour for cancer medicines. Most high-income countries (HICs) use HTA criteria to identify high-value medicines for reimbursement under public drug coverage plans. We compared HTA criteria specific for cancer medicines in economically similar HICs, to understand how these criteria contribute to reimbursement decisions. METHODS: We did an international, cross-sectional analysis in collaboration with author investigators across eight HICs, from the Group of Seven (known as G7; Canada, England, France, Germany, Italy, and Japan) and Oceania (Australia and New Zealand). Publicly available data from HTA agency reports and official documentation were extracted and analysed between Aug 15, 2021, and July 31, 2022. We collected data pertaining to the decision-making criteria used by the national HTA agency; HTA reimbursement status for 34 medicine-indication pairs corresponding to 15 unique US top-selling cancer medicines; and HTA reimbursement status for 18 cancer medicine-indication pairs (13 unique medicines) with minimal clinical benefit (score of 1 on the European Society of Medical Oncology Magnitude of Clinical Benefit Scale). Descriptive statistics were used to compare HTA decision criteria and drug reimbursement recommendations (or for Germany and Japan, final reimbursement status) across the eight countries. FINDINGS: Therapeutic impact related to clinical outcomes of the new medicine was a uniform criterion across the eight countries, whereas quality of evidence (under the remit of therapeutic impact assessment) and equity were infrequently cited criteria. Only the German HTA agency mandated that surrogate endpoints be validated in therapeutic impact assessment. All countries except Germany included formal cost-effectiveness analyses within HTA reports. England and Japan were the only countries that specified a cost-effectiveness threshold. Of the 34 medicine-indication pairs corresponding to US top-selling cancer medicines, Germany reimbursed the maximum (34 [100%]), followed by Italy (32 [94%] recommended for reimbursement), Japan (28 [82%] reimbursed), Australia, Canada, England, and France (27 [79%] recommended for reimbursement), and New Zealand (12 [35%] recommended for reimbursement). Of the 18 cancer medicine-indication pairs with marginal clinical benefit, Germany reimbursed 15 (83%) and Japan reimbursed 12 (67%). France recommended nine (50%) for reimbursement, followed by Italy (seven [39%]), Canada (five [28%]), and Australia and England (three [17%] each). New Zealand did not recommend any medicine-indications with marginal clinical benefit for reimbursement. Considering the overall cumulative proportion across the eight countries, 58 (21%) of 272 indications for the US top-selling medicines and 90 (63%) of 144 marginally beneficial medicine-indications were not recommended for reimbursement or reimbursed. INTERPRETATION: Our findings indicate discordance in public reimbursement decisions across economically similar countries, despite overlapping HTA decision criteria. This suggests a need for improved transparency around the nuances of the criteria to ensure improved access to high-value cancer medicines, and deprioritisation of low-value cancer medicines. Health systems have opportunities to improve their HTA decision-making processes by learning from the systems in other countries. FUNDING: None.

Defining a Core Data Set for the Economic Evaluation of Precision Oncology.

OBJECTIVES: Precision oncology is generating vast amounts of multiomic data to improve human health and accelerate research. Existing clinical study designs and attendant data are unable to provide comparative evidence for economic evaluations. This lack of evidence can cause inconsistent and inappropriate reimbursement. Our study defines a core data set to facilitate economic evaluations of precision oncology. METHODS: We conducted a literature review of economic evaluations of next-generation sequencing technologies, a common application of precision oncology, published between 2005 and 2018 and indexed in PubMed (MEDLINE). Based on this review, we developed a preliminary core data set for informal expert feedback. We then used a modified-Delphi approach with individuals involved in implementation and evaluation of precision medicine, including 2 survey rounds followed by a final voting conference to refine the data set. RESULTS: Two authors determined that variation in published data elements was reached after abstraction of 20 economic evaluations. Expert consultation refined the data set to 83 unique data elements, and a multidisciplinary sample of 46 experts participated in the modified-Delphi process. A total of 68 elements (81%) were selected as required, spanning demographics and clinical characteristics, genomic data, cancer treatment, health and quality of life outcomes, and resource use. CONCLUSIONS: Cost-effectiveness analyses will fail to reflect the real-world impacts of precision oncology without data to accurately characterize patient care trajectories and outcomes. Data collection in accordance with the proposed core data set will promote standardization and enable the generation of decision-grade evidence to inform reimbursement.

Cost-Effectiveness Analysis of Stereotactic Ablative Body Radiotherapy for the Treatment of Oligometastatic Tumors versus Standard of Care.

BACKGROUND: Recent clinical trial results reported that stereotactic radiotherapy (SABR) may improve survival for patients with oligometastatic (OM) cancer. Given that these results come from a phase II trial, there remains considerable uncertainty about this finding, and about the cost-effectiveness of SABR for patients with OM cancer. In this analysis, we estimate the cost-effectiveness of SABR for oligometastatic cancer patients. METHODS: A probabilistic time-dependent Markov model was constructed to simulate treatment of oligometastatic cancer patients over five- and ten-year time horizons. The primary data source was the phase II, Stereotactic Ablative Radiotherapy for the Comprehensive Treatment of Oligometastases (SABR-COMET )trial and supplemented with data from the literature. We estimated the effect of SABR and the standard of care (SoC) using quality-adjusted life-years (QALYs). Costs were measured from a provincial payer perspective (2018 Canadian dollars). RESULTS: In the reference case analysis (five-year time horizon), SABR was associated with additional incremental costs of CAD 38,487 and an incremental QALY gain of 0.84. This resulted in an incremental cost-effectiveness ratio (ICER) of CAD 45,726 per QALY gained. Over a ten-year time horizon, the increased uncertainty in the long-term effectiveness of SABR resulted in an ICER of CAD 291,544 per QALY gained. Estimates from the probabilistic analysis indicated that at a willingness-to-pay (WTP) threshold of CAD 50,000 and CAD 100,000 per QALY gained, there is 54% and 78% probability (respectively) that SABR would be cost-effective using the five-year time horizon. CONCLUSIONS: The adoption of SABR therapy requires a considerable upfront capital investment. Our results suggest that the cost-effectiveness of SABR is contingent on the uncertainty in the evidence base. Further clinical trials to confirm the effectiveness of SABR and research into the real-world costs associated with this treatment could reduce the uncertainty around implementation of the technology.

Experiences and perspectives of individuals accessing CAR-T cell therapy: A qualitative analysis of online Reddit discussions.

INTRODUCTION: Several chimeric antigen receptor (CAR-T) T-cell therapies have been approved for use for haematological malignancies. Despite known safety, access, and cost issues, little is known about how patients and caregivers understand novel treatments such as CAR-T and their associated uncertainties. METHODS: We gathered data from Reddit, an online public social media site. We performed a keyword search in three relevant subreddit threads: r/cancer, r/lymphoma, r/leukemia. We systematically extracted threads and associated comments and reviewed against our inclusion criteria. RESULTS: We identified a total of 186 posts and 87 were included in the qualitative analysis from March 1, 2013, to April 15, 2021. Qualitative content analysis was used to identify themes. Of those excluded, 88 contained discussions of other immunotherapies and 11 were scientific profiles. We identified four themes: 1) navigating uncertainty with community, 2) finding a cure, 3) managing treatment-related uncertainties, and 4) overcoming uncertainties related to access. We found patients experience numerous barriers when seeking access to novel therapeutics, such as CAR-T therapies. CONCLUSIONS: The perceptions and struggles of patients and their families are relevant for developing technology assessments that are sensitive to patient experiences, as well as to inform policies for equitable resource allocation. POLICY SUMMARY: Our study underscores the importance of balanced decision making between patients and physicians to ensure patients understand the risk and benefits of cancer treatments. Study investigators might evaluate trial participants based on patient demographics to ensure equitable access to studies for individuals in settings where internet access is less common.

Health-related quality of life data collected in chimeric antigen receptor T-cell (CAR-T) therapy clinical trials.

INTRODUCTION: Chimeric antigen receptor T-cell (CAR-T) therapy represents a novel approach to cancer treatment, particularly advanced cancer. Much of the current evidence for the effectiveness of these therapies is associated with considerable uncertainty. This uncertainty poses a challenge for decision-makers and health systems responsible for granting patients access to these therapies. While the stage of development of the technology is a component of this uncertainty, it can be reduced with relevant data collection alongside clinical trials that is meaningful to patients and decision-makers. The objective of this research was to investigate the frequency with which HRQoL data is collected in currently registered clinical trials investigating CAR-T cancer treatment. METHODS: We searched for current CAR-T clinical trials at a registry compiled at United States National Institutes of Health National Library of Medicine (NLM) database. Trials were required to be active, recruiting, or completed. Trials were required to be phase I-IV, listed as 'interventional', and specific to cancer treatment. RESULTS: There were 424 clinical trials that were included in our analysis. The majority of these trials (76 %) were investigating CAR-T therapy in haematological malignancies. Of the included studies, only 29 (6.8 %) included HRQoL as a primary or secondary outcome measure. Only 25 (5.9 %) trials reported collecting data on overall survival. CONCLUSIONS: This investigation into clinical trials for CAR-T therapies has shown a failure to collect valuable HRQoL data. Sponsors of clinical trials need to appreciate that clinical trials for novel therapies need to collect relevant data that is paramount to informing decision-making and providing access to patients. POLICY STATEMENT: The effectiveness of innovative cancer therapies, such as CAR-T, remains associated with considerable uncertainty. This uncertainty can be reduced for decision-makers via the collection of critical HRQoL data. Sponsors of clinical trials should be incentivized to collect these data, particularly where the intention is to use that trial for a reimbursement submission and decision..

Genomic Testing for Relapsed and Refractory Lymphoid Cancers: Understanding Patient Values.

BACKGROUND: New clinical genomic assays for lymphoid cancers allow for improved disease stratification and prognostication. At present, clinical implementation has been appropriately limited, owing to a paucity of evidence to support clinical and cost effectiveness. Understanding patients' values for precision oncology under conditions of uncertainty can be used to inform priority-setting decisions. OBJECTIVES: Our objective was to ascertain patients' qualitative preferences and attitudes for prognostic-based genomic testing. METHODS: Individuals who were diagnosed with lymphoid cancer between 2000 and 2018 in British Columbia, Canada, were recruited to participate in one of three focus groups. A maximum variation sampling technique was used to capture a diversity of perspectives. A patient partner was involved in the development of the focus group topic guide and presentation materials. All sessions were audio recorded and analyzed using NVivo qualitative analysis software, version 12. RESULTS: In total, 26 participants took part in focus groups held between November 2018 and February 2019. Results illustrate qualitative preference heterogeneity for situations under which individuals would be willing to undergo genomic testing for relapsed lymphoid cancers. Preferences were highly contextualized within personal experiences with disease and treatment protocols. Hypothetical willingness to pay for testing was contingent on invasiveness, the potential for treatment de-escalation, and personal health benefit. CONCLUSIONS: Patients are supportive and accepting of evidentiary uncertainty up until the point at which they are required to trade-off the potential for improved quality and length of life. Demand for precision medicine is contingent on expectations for benefit alongside an acknowledgment of the opportunity cost required for implementation. The clinical implementation of precision medicine will be required to address evidentiary uncertainty surrounding personal benefit while ensuring equitable access to emerging innovations.

Health-related quality of life in oncology drug reimbursement submissions in Canada: A review of submissions to the pan-Canadian Oncology Drug Review.

BACKGROUND: In Canada, the Canadian Agency for Drugs and Technologies in Health (CADTH) evaluates and makes recommendations for the reimbursement of cancer drugs. One component of its recommendation is based on an economic evaluation, which typically takes the form of a cost-utility analysis. A cost-utility analysis measures the effects of competing therapies with quality-adjusted life-years (QALYs). The data for this calculation typically come from generic, preference-based measures of health-related quality of life (HRQOL). The objective of this review is to determine the frequency at which HRQOL data are collected alongside cancer drug trials and used in the cost-utility analysis submitted to the CADTH pan-Canadian Oncology Drug Review (pCODR). METHODS: Submissions between 2015 and 2018 to pCODR, the group charged with evaluating cancer drug submissions at CADTH, were reviewed. All pCODR submissions, either in progress or completed, were publicly available online. The search was restricted to completed evaluations. RESULTS: Forty-three submissions met the inclusion criteria. The incremental gain in QALYs in most submissions from the new technology was small (median incremental gain, 0.86; interquartile range, 0.6-1.39). More than half of the submissions (56%) did not include original data on HRQOL, with most relying on previous studies of variable relevance and quality. Re-analyses by pCODR based on concerns over HRQOL data used in the submitted model were common (52%). CONCLUSIONS: Drug manufacturers do not consistently collect data on HRQOL alongside clinical trials and instead rely on evidence generated in previous studies to inform cost-utility analyses. These findings should induce manufacturers to collect original HRQOL data that are simultaneously relevant to patients and decision makers.

Evidence, values, and funding decisions in Canadian cancer systems.

Expenditure on cancer therapies is rising rapidly in many countries, particularly for cancer drugs. In recent years, this has stimulated a global debate among the public, patients, clinicians, decision-makers, and the pharmaceutical industry on value, affordability, and sustainability propositions relating to cancer therapies. In this article, we discuss some recent developments in evidence-based approaches to priority setting and resource allocation in Canadian cancer systems. These developments include new methods for deliberative public engagement, generating and using real-world evidence, multi-criteria decision analysis, and handling uncertainty with evidence for gene therapies.

Inhaled corticosteroids and the risk of lung cancer in COPD: a population-based cohort study.

Inhaled corticosteroids (ICSs) are often prescribed in patients with chronic obstructive pulmonary disease (COPD). Their impact on the risk of lung cancer, a leading cause of mortality in COPD patients, remains uncertain.Population-based linked administrative data between the years 1997 and 2007 from the province of British Columbia, Canada, were used to evaluate the association between lung cancer risk and ICS use in COPD patients. COPD was defined on the basis of receipt of three COPD-related prescriptions in subjects ≥50 years of age. Exposure to ICS was incorporated into multivariable Cox regression models using several time-dependent methods ("ever" exposure, cumulative duration of use, cumulative dose, weighted cumulative duration of use and weighted cumulative dose).There were 39 676 patients who met the inclusion criteria. The mean±sd age of the cohort was 70.7±11.1 years and 53% were female. There were 994 (2.5%) cases of lung cancer during follow-up. In the reference case analysis (time-dependent "ever" exposure), ICS exposure was associated with a 30% reduced risk of lung cancer (HR 0.70 (95% CI 0.61-0.80)). ICS exposure was associated with a decrease in the risk of lung cancer diagnosis over all five methods of quantifying exposure.This population-based study suggests that ICS use reduces the risk of lung cancer in COPD patients.

Patient reported health status and all-cause mortality in patients with coronary heart disease.

Purpose: Patients with coronary heart disease (CHD) experience reduced quality of life which may be associated with mortality in the longer term. This study explores whether patient-rated physical and mental health status was associated with mortality at 6-year follow-up among patients with CHD attending primary care in Ireland and Northern Ireland. Methods: This study is a secondary data analysis of patients with CHD recruited to a cluster randomized controlled trial from 2004 to 2010. Data collected included patient-rated physical component summary (PCS) and mental component summary (MCS) scores of health status (from the 12-Item Short-Form Health Survey (SF-12)), demographics and clinical parameters at baseline, and all-cause mortality at 6-year follow-up. Multivariate regression was conducted using generalized estimating equations (GEE) with a log-link function. Results are presented as odds ratios (ORs) and 95% confidence intervals (CIs). Results: The study consisted of 762 individuals with mean age 67.6 years [standard deviation (SD): 9.8], and was 29% female. Mean baseline SF-12 mental (MCS) and physical (PCS) component scores were 50.0 (SD: 10.8) and 39.6 (SD: 11.2), respectively. At 6-year follow-up, the adjusted OR for the baseline MCS for mortality was 0.97 (95% CI: 0.95-0.99) and for the PCS 0.97 (95% CI: 0.95-0.99). For every five-point increase in MCS and PCS scores, there was a 14% reduction in the likelihood of all-cause mortality. Conclusions: Overall, the magnitude of effect for both mental health status and physical health status was similar; higher scores were significantly associated with a lower risk of mortality at 6-year follow-up.

The effectiveness of physiologically based early warning or track and trigger systems after triage in adult patients presenting to emergency departments: a systematic review.

BACKGROUND: Changes to physiological parameters precede deterioration of ill patients. Early warning and track and trigger systems (TTS) use routine physiological measurements with pre-specified thresholds to identify deteriorating patients and trigger appropriate and timely escalation of care. Patients presenting to the emergency department (ED) are undiagnosed, undifferentiated and of varying acuity, yet the effectiveness and cost-effectiveness of using early warning systems and TTS in this setting is unclear. We aimed to systematically review the evidence on the use, development/validation, clinical effectiveness and cost-effectiveness of physiologically based early warning systems and TTS for the detection of deterioration in adult patients presenting to EDs. METHODS: We searched for any study design in scientific databases and grey literature resources up to March 2016. Two reviewers independently screened results and conducted quality assessment. One reviewer extracted data with independent verification of 50% by a second reviewer. Only information available in English was included. Due to the heterogeneity of reporting across studies, results were synthesised narratively and in evidence tables. RESULTS: We identified 6397 citations of which 47 studies and 1 clinical trial registration were included. Although early warning systems are increasingly used in EDs, compliance varies. One non-randomised controlled trial found that using an early warning system in the ED may lead to a change in patient management but may not reduce adverse events; however, this is uncertain, considering the very low quality of evidence. Twenty-eight different early warning systems were developed/validated in 36 studies. There is relatively good evidence on the predictive ability of certain early warning systems on mortality and ICU/hospital admission. No health economic data were identified. CONCLUSIONS: Early warning systems seem to predict adverse outcomes in adult patients of varying acuity presenting to the ED but there is a lack of high quality comparative studies to examine the effect of using early warning systems on patient outcomes. Such studies should include health economics assessments.

The Impact of Statin Drug Use on All-Cause Mortality in Patients With COPD: A Population-Based Cohort Study.

BACKGROUND: Patients with COPD are often prescribed statin drugs due to the increased prevalence of cardiovascular disease. There is considerable debate about the benefits conferred by statin drugs in patients with COPD. This study evaluates the association of statin drug use with all-cause and lung-related mortality in patients with COPD. METHODS: This study uses population-based administrative data for the province of British Columbia, Canada. A cohort of patients with COPD was identified based on individual patient prescription records. Statin drug exposure was ascertained in the 1-year period after the COPD diagnosis. The primary and secondary outcomes, all-cause and lung-related mortality, respectively, were evaluated in the 1-year period thereafter using multivariate Cox proportional hazards models and several definitions of medication exposure. RESULTS: There were 39,678 patients with COPD that met the study inclusion criteria. Of them, 7,775 (19.6%) had received at least one statin drug dispensed in the exposure ascertainment window. There were 1,446 all-cause deaths recorded in the cohort in the 1-year period after exposure ascertainment. In multivariate analysis, the estimated hazard ratio (HR) for statin drug exposure was 0.79 (95% CI, 0.68-0.92; P = .0016), suggesting a 21% reduction in the risk from statin drug use on all-cause mortality. For lung-related mortality, there was also a considerable reduction in the risk for all-cause mortality from statin drug use (HR, 0.55; 95% CI, 0.32-0.93; P = .0254). These results were robust to different specifications of the exposure ascertainment window. CONCLUSIONS: This study shows that statin drug use in a population-based cohort of patients with COPD may confer benefits regarding reduced lung-related and all-cause mortality.