Population-based study of LAMA monotherapy effectiveness compared with LABA/LAMA as initial treatment for COPD in primary care

Comparing Costs and Healthcare Resource Utilization (HCRU) Using LAMA versus LABA/ICS at Treatment Initiation for COPD: Findings from CITRUS (Comparing the Incidence of Tiotropium and ICS/LABA in Real-World Use in South Korea) Study

Background

COPD causes substantial economic burden on healthcare. Alternative treatment strategies for COPD can be associated with different costs dependent upon their relative safety and effectiveness. We compared costs and healthcare resource utilization (HCRU) associated with LAMA or LABA/ICS initiation.

Methods

Using the Korean National Health Insurance Service database, we enrolled COPD patients initiating treatment with LAMA or LABA/ICS between January 2005 and April 2015. Propensity score matched individuals were compared on all-cause and COPD-related medical costs and HCRU over a three-year follow-up period.

Results

A total of 2444 patients were enrolled in each treatment group. LAMA group was associated with significantly lower costs than LABA/ICS group, both in all-cause (403.08 vs 474.50 USD per patient per month [PPPM], cost ratio 1.18, 95% confidence interval [CI]=1.10-1.26, p<0.0001) and COPD-related (216.37 vs 267.32 USD PPPM, cost ratio 1.24, 95% CI=1.13-1.35, p<0.0001) medical costs. All-cause HCRU was not significantly different between groups, while COPD-related HRCU was higher in LAMA group (0.66 vs 0.60 medical visits PPPM, p<0.0001).

Conclusion

COPD patients initiating treatment with LAMA were associated with lower all-cause and COPD-related medical costs than those starting with LABA/ICS despite the similar all-cause HCRU and higher COPD-related HCRU. Initiation with LAMA is a cost-efficient option for the treatment of COPD.

Methods to assess COPD medications adherence in healthcare databases: a systematic review

BACKGROUND

The Global Initiative for Chronic Obstructive Lung Disease 2023 report recommends medication adherence assessment in COPD as an action item. Healthcare databases provide opportunities for objective assessments; however, multiple methods exist. We aimed to systematically review the literature to describe existing methods to assess adherence in COPD in healthcare databases and to evaluate the reporting of influencing variables.

METHOD

We searched MEDLINE, Web of Science and Embase for peer-reviewed articles evaluating adherence to COPD medication in electronic databases, written in English, published up to 11 October 2022 (PROSPERO identifier CRD42022363449). Two reviewers independently conducted screening for inclusion and performed data extraction. Methods to assess initiation (dispensing of medication after prescribing), implementation (extent of use over a specific time period) and/or persistence (time from initiation to discontinuation) were listed descriptively. Each included study was evaluated for reporting variables with an impact on adherence assessment: inpatient stays, drug substitution, dose switching and early refills.

RESULTS

160 studies were included, of which four assessed initiation, 135 implementation and 45 persistence. Overall, one method was used to measure initiation, 43 methods for implementation and seven methods for persistence. Most of the included implementation studies reported medication possession ratio, proportion of days covered and/or an alteration of these methods. Only 11% of the included studies mentioned the potential impact of the evaluated variables.

CONCLUSION

Variations in adherence assessment methods are common. Attention to transparency, reporting of variables with an impact on adherence assessment and rationale for choosing an adherence cut-off or treatment gap is recommended.

The Role of Dual Bronchodilation and the Conscientious Use of Inhaled Corticosteroid in COPD

Chronic obstructive pulmonary disease (COPD) is a global public health burden that stands out as a leading cause of mortality around the world, especially in less developed countries. COPD treatment should be centered on the individual necessities of each patient, integrating pharmacological therapy, immunization, nutritional support, pulmonary rehabilitation and control of comorbidities. Combining a long-acting antimuscarinic (LAMA) with a long-acting beta2-agonist (LABA) bronchodilator has proven to be more effective than monotherapy with LABA or LAMA, in terms of the functional improvement of forced expiratory volume (FEV1), symptoms and life quality and may be helpful in patients with progressive dyspnea. The eosinophil blood count is a simple biomarker that could guide personalized treatment strategies by identifying patients with greater clinical benefits of inhaled corticosteroid (ICS) treatment. However, one critical concern is the increased risk of pneumonia in individuals treated with ICS.

Artificial intelligence and machine learning in respiratory medicine

Introduction: The application of artificial intelligence (AI) and machine learning (ML) in medicine and in particular in respiratory medicine is an increasingly relevant topic.Areas covered: We aimed to identify and describe the studies published on the use of AI and ML in the field of respiratory diseases. The string '(((pulmonary) OR respiratory)) AND ((artificial intelligence) OR machine learning)' was used in PubMed as a search strategy. The majority of studies identified corresponded to the area of chronic obstructive pulmonary disease (COPD), in particular to COPD and chest computed tomography scans, interpretation of pulmonary function tests, exacerbations and treatment. Another field of interest is the application of AI and ML to the diagnosis of interstitial lung disease, and a few other studies were identified on the fields of mechanical ventilation, interpretation of images on chest X-ray and diagnosis of bronchial asthma.Expert opinion: ML may help to make clinical decisions but will not replace the physician completely. Human errors in medicine are associated with large financial losses, and many of them could be prevented with the help of AI and ML. AI is particularly useful in the absence of conclusive evidence of decision-making.

Incorporating New Evidence on Inhaled Medications in COPD. The Latin American Chest Association (ALAT) 2019

This document on COPD from the Latin American Chest Association (ALAT-2019) uses PICO methodology to analyze new evidence on inhaled medication and answer clinical questions. The following key points emerged from this analysis: 1) evidence is lacking on the comparison of short-acting vs. long-acting bronchodilators in patients with mild COPD; patients with moderate-to-severe COPD obtain greater benefit from long-acting bronchodilators; 2) the benefits of monotherapy with long-acting antimuscarinic agents (LAMA) and combined therapy with long-acting β₂-agonists and inhaled corticosteroids (LABA/ICS) are similar, although the latter is associated with a greater risk of pneumonia; 3) LABA/LAMA offer greater benefits in terms of lung function and risk of exacerbation than LABA/ICS (the latter involve an increased risk of pneumonia), 4) LAMA/LABA/ICS have greater therapeutic benefits than LABA/LAMA on the risk of moderate-severe exacerbations. With regard to the role of eosinophils in guiding the use of ICS, ICS withdrawal must be considered when the initial indication was wrong or no response is elicited, in patients with side effects such as pneumonia, and in patients with a low risk of exacerbation and an eosinophil blood count of <300 cells/μl. All this evidence, categorized according to the severity of the obstruction, symptoms, and risk of exacerbations, has been used to generate an algorithm for the use of inhaled medication in COPD.

Effectiveness trials: critical data to help understand how respiratory medicines really work?

Most of the information about the benefits, safety aspects, and cost effectiveness of pharmacological treatment in the respiratory field has been obtained from traditional efficacy studies, such as randomised controlled trials (RCT). The highly controlled environment of an RCT does not always reflect everyday practice. The collection, analysis, and application of effectiveness data to generate Real World Evidence (RWE) through pragmatic trials or observational studies therefore has the potential to improve decision making by regulators, payers, and clinicians.

Despite calls for more RWE, effectiveness data are not widely used in decision making in the respiratory field. Recent advances in data capture, curation, and storage combined with new analytical tools have now made it feasible for effectiveness data to become routine sources of evidence to supplement traditional efficacy data. In this paper, we will examine some of the current data gaps, diverse types of effectiveness data, look at proposed frameworks for the positioning of effectiveness data, as well as provide examples from therapeutic areas. We will give examples of both previous effectiveness studies and studies that are ongoing within the respiratory field. Effectiveness data hold the potential to address several evidentiary gaps related to the effectiveness, safety, and value of treatments in patients with respiratory diseases.