Development and Validation of a Healthcare Utilization-Based Algorithm to Identify Acute Exacerbations of Chronic Obstructive Pulmonary Disease

Effectiveness of Single Versus Multiple Inhaler Triple Therapy on Mortality and Cardiopulmonary Risk Reduction in COPD: The SKOPOS-MAZI Study

BACKGROUND

Patients with chronic obstructive pulmonary disease (COPD) have elevated cardiopulmonary and mortality risk, particularly following exacerbations. While single inhaler triple therapies (SITTs), such as budesonide/glycopyrrolate/formoterol fumarate (BGF), reduce cardiopulmonary risk versus dual bronchodilator therapy, there is limited evidence comparing outcomes with SITTs versus multiple inhaler triple therapies (MITTs).

METHODS

SKOPOS-MAZI was a retrospective comparative effectiveness study in patients with COPD aged ≥40 years using US administrative claims data from Optum's deidentified Clinformatics® Data Mart Database. The primary and secondary endpoints were time to all-cause mortality and time to first severe cardiopulmonary event following initiation of BGF or MITT (identification period: October 1, 2020-June 30, 2023; index date: first prescription fill). Relative hazards of outcomes were assessed until a censoring event using Cox proportional hazards models, with inverse propensity treatment weighting accounting for between-group imbalances (standardized mean difference >0.1) in baseline characteristics.

RESULTS

In the primary cohort, risk (hazard ratio [95% confidence intervals]) of all-cause mortality and a first severe cardiopulmonary event were 18% (0.82 [0.75, 0.91]) and 12% (0.88 [0.83, 0.93]) lower in patients initiating BGF versus MITT; results were consistent across censoring definitions, landmark periods, and sensitivity cohorts.

CONCLUSION

In this real-world comparative effectiveness study of patients with COPD initiating BGF or MITT, BGF was associated with lower all-cause mortality and severe cardiopulmonary event risk versus MITT after accounting for between-group differences in baseline sociodemographic and clinical characteristics. This study supports the benefits of BGF over MITT and the need to consider proactive use of SITTs in COPD management.

Comparative Effectiveness of Fluticasone Furoate/Umeclidinium/Vilanterol and Budesonide/Glycopyrrolate/Formoterol Fumarate among US Patients with Chronic Obstructive Pulmonary Disease

INTRODUCTION

Chronic obstructive pulmonary disease (COPD) is associated with exacerbations which can reduce quality of life and increase mortality. Single-inhaler triple therapy (SITT) is recommended for maintenance treatment of COPD among patients experiencing exacerbations despite dual-therapy use. This real-world comparative effectiveness study compared the impact of SITTs, fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI), and budesonide/glycopyrrolate/formoterol fumarate (BUD/GLY/FORM), on COPD exacerbations and mortality.

METHODS

Medicare Fee-for-Service (FFS) patients with COPD initiated on FF/UMEC/VI or BUD/GLY/FORM were identified from the Komodo Research healthcare claims dataset (01/01/2016-12/31/2023). Overlap weighting based on high-dimensional propensity scores evaluated from patient characteristics was used to adjust for baseline confounding. Primary outcome was annualized rate of moderate-severe COPD exacerbations (per patient-year; PPY) compared using rate ratios (RRs) with 95% confidence intervals (CIs) from weighted Poisson regression models. Secondary and exploratory outcomes were risk of moderate-severe COPD exacerbations and all-cause mortality, respectively, evaluated using Kaplan-Meier analysis and hazard ratios (HR) with 95% CIs from Cox proportional hazard models. A secondary analysis was conducted among a mutually exclusive population with Medicare Advantage, Medicaid, or commercial insurance.

RESULTS

Overall, 32,312 FF/UMEC/VI and 12,230 BUD/GLY/FORM Medicare FFS patients were included. After weighting, median follow-up was 9 months. Compared with BUD/GLY/FORM, FF/UMEC/VI users had a 12% lower rate of annualized moderate-severe COPD exacerbations [0.80 and 0.91 PPY; RR (95% CI): 0.88 (0.85-0.92); P < 0.001] and a 10% lower risk of moderate-severe exacerbations at 12 months post-initiation [HR (95% CI): 0.90 (0.87-0.93); P < 0.001], driven by moderate exacerbations. FF/UMEC/VI compared with BUD/GLY/FORM users had 11% lower risk of all-cause mortality at 12 months post-initiation [5.6% vs. 6.4%; HR (95% CI): 0.89 (0.80-0.98); P = 0.020]. Results were consistent among patients with Medicare Advantage, Medicaid, or commercial insurance.

CONCLUSIONS

In this real-world comparative effectiveness study, FF/UMEC/VI was associated with significantly lower rate and risk of COPD exacerbations than BUD/GLY/FORM.

20-year trends in excess costs of COPD

BACKGROUND

Several major risk factors for COPD, such as population ageing, smoking rates and air pollution levels, are rapidly changing, causing inevitable changes in the population burden of COPD. We determined the excess direct costs of COPD and their trend from 2001 to 2020.

METHODS

Using administrative health data from British Columbia, Canada, we created a retrospective matched cohort of physician-diagnosed COPD patients and non-COPD individuals. Excess direct medical costs (in 2020 Canadian dollars (CAD)) were estimated by analysing hospital records, outpatient services, medications and community care services. Comorbidity classes were assessed using International Classification of Diseases codes. Excess COPD costs were estimated as the adjusted difference in direct medical costs between the COPD and non-COPD cohorts.

RESULTS

There were 208 554 and 404 703 individuals in the COPD and non-COPD cohorts, respectively (47.8% female; mean baseline age 69.1 and 68.2 years, respectively). Direct medical costs for COPD were CAD 9224 per patient-year compared to CAD 3396 per patient-year for non-COPD, giving rise to excess costs of CAD 5828 (95% CI 5759-5897) per patient-year. Excess costs increased by 48% over the study period. Excess costs due to comorbidities were CAD 3588 (95% CI 3554-3622) per patient-year, with cardiovascular-related conditions alone exceeding the costs attributed to COPD (CAD 1375 versus 904 per patient-year).

CONCLUSIONS

Despite multifaceted prevention and management initiatives, COPD-related economic burden is increasing, with the majority of costs due to comorbid conditions. Rising per-patient costs, combined with the flat or increasing prevalence of COPD in many jurisdictions, indicates a significant increase in COPD burden.

Predictive modeling for identification of older adults with high utilization of health and social services

AIM

Machine learning techniques have demonstrated success in predictive modeling across various clinical cases. However, few studies have considered predicting the use of multisectoral health and social services among older adults. This research aims to utilize machine learning models to detect high-risk groups of excessive health and social services utilization at early stage, facilitating the implementation of preventive interventions.

METHODS

We used pseudonymized data covering a four-year period and including information on a total of 33,374 senior citizens from Southern Finland. The endpoint was defined based on the occurrence of unplanned healthcare visits and the total number of different services used. Input features included individual's basic demographics, health status and past usage of healthcare resources. Logistic regression and eXtreme Gradient Boosting (XGBoost) methods were used for binary classification, with the dataset split into 70% training and 30% testing sets.

RESULTS

Subgroup-based results mirrored trends observed in the full cohort, with age and certain health issues, e.g. mental health, emerging as positive predictors for high service utilization. Conversely, hospital stay and urban residence were associated with decreased risk. The models achieved a classification performance (AUC) of 0.61 for the full cohort and varying in the range of 0.55-0.62 for the subgroups.

CONCLUSIONS

Predictive models offer potential for predicting future high service utilization in the older adult population. Achieving high classification performance remains challenging due to diverse contributing factors. We anticipate that classification performance could be increased by including features based on additional data categories such as socio-economic data.

Reduced Cost Sharing and Medication Management Services for COPD: A Randomized Clinical Trial

Importance

High out-of-pocket costs and improper use of maintenance inhalers contribute to poor outcomes among patients with chronic obstructive pulmonary disease (COPD). There is limited evidence for how addressing these barriers could improve adherence and affect COPD exacerbations, spending, or racial disparities in these outcomes.

Objective

To examine the effect of a national program to reduce beneficiary cost sharing for COPD maintenance inhalers and provide medication management services that included education on proper technique for inhaler use.

Design, Setting, and Participants

This randomized clinical trial included individuals with COPD. All individuals were enrolled in Medicare Advantage. Data were collected from January 2019 to December 2021, and data were analyzed from January 2023 to May 2024.

Intervention

Invitation to enroll in a program that reduced cost sharing for maintenance inhalers to $0 or $10 and provided medication management services. The random assignment of the invitation was used to estimate the effects of the invitation and program enrollment, overall and by race.

Main Outcomes and Measures

Inhaler adherence measured as proportion of days covered (PDC), moderate-to-severe exacerbations, short-acting inhaler fills, total spending, and as an exploratory outcome, out-of-pocket spending.

Results

Of 19 113 included patients, 55.2% were female; 9.5% were Black, 81.1% were White, and 9.4% were another or unknown race; and the median (IQR) age was 74 (69-80) years. Program enrollment was higher in the invited group (29.4%) than the control group (5.1%). The PDC for maintenance inhalers was higher in the invited group than the control group (32.0% vs 28.4%; adjusted invitation effect, 3.8 percentage points; 95% CI, 3.1-4.5); the adjusted effect of the program (the local average treatment effect) was 15.5 percentage points (95% CI, 12.8-18.1), a 55% relative increase in adherence. Mean (SD) out-of-pocket spending for prescriptions was lower in the invited group ($619.5 [$863.1]) than the control group ($675.0 [$887.3]; adjusted invitation effect, -$49.5; 95% CI, -68.9 to -30.0; adjusted program effect, -$203.0; 95% CI, -282.8 to -123.2), but there was no statistically significant difference in exacerbations, short-acting inhaler fills, or total spending. Among Black individuals, the adjusted invitation effect on maintenance inhaler PDC was 5.5 percentage points (95% CI, 3.3-7.7), and the adjusted program effect was 19.5 percentage points (95% CI, 12.4-26.7). Among White individuals, the adjusted invitation effect was 3.7 percentage points (95% CI, 2.9-4.4), and the adjusted program effect was 15.1 percentage points (95% CI, 12.1-18.1). The difference between the invitation effects by race was not statistically significant (1.8 percentage points; 95% CI, -0.5 to 4.1; P = .13).

Conclusions and Relevance

Individuals in Medicare Advantage who received an invitation to enroll in a program that reduced cost sharing for maintenance inhalers and provided medication management services had higher inhaler adherence compared with the control group. The difference in the program's effect on inhaler adherence between Black and White individuals was substantial but not statistically significant.

Trial Registration

ClinicalTrials.gov Identifier: NCT05497999.

Reducing Health Care Resource Utilization in COPD: A Retrospective Matched Control Analysis of a Digital Quality Improvement Program

Introduction

Chronic obstructive pulmonary disease (COPD) is a progressive lung disease that adds a significant economic burden to the health care system in the United States. Digital platforms integrated into clinical workflows have demonstrated success in improving patient outcomes in COPD, but few studies have explored the impact of an integrated digital and clinical approach on drivers of direct health care costs (COPD-related prescriptions, emergency department [ED] visits, and hospitalizations) in a real-world setting.

Methods

We conducted a 6-month retrospective matched control analysis to assess the impact of a digital quality improvement (QI) program delivered by clinical pharmacists on health care resource utilization among people living with COPD.

Results

Compared to matched controls at 6 months, participants in the digital QI program had a 66.7% relative reduction in COPD-related ED visits and hospitalizations (0.04±0.19 versus 0.12±0.44, p=0.044), as well as a 47% reduction in all-cause ED visits and hospitalizations (0.25±0.63 versus 0.47±1.09, p=0.059). Participants in the digital QI program also had higher rates of COPD-related prescription fills for antibiotics (0.43±0.93 versus 0.35±0.74, p=0.881) and oral corticosteroids (0.56±1.02 versus 0.36±0.91, p=0.045), as well as a greater number of COPD-related nonacute urgent care visits compared to matched controls (0.3±0.63 versus 0.14±0.44, p=0.027).

Conclusion

Digital health platforms integrated into a virtual clinical pharmacist workflow can help reduce costly COPD-related ED visits and hospitalizations, and shift utilization to less acute care. Care models integrating digital platforms may also offer a scalable approach to managing COPD and should be explored in different clinical settings.

Impact of COVID-19 Pandemic on Chronic Obstructive Pulmonary Disease Healthcare Use, Exacerbations, and Mortality: A Population Study

Rationale: Existing work suggests that patients with chronic obstructive pulmonary disease (pwCOPD) presented less frequently to the emergency department and were less likely to be hospitalized during the coronavirus disease (COVID-19) pandemic, but it is unclear if this was due to improved health and disease management or to increased barriers and/or avoidance of health care. Objectives: The objective of this study was to determine the impact of the pandemic on inpatient and outpatient healthcare use, disease incidence, and mortality rates in pwCOPD. Methods: A retrospective population-based analysis using linked administrative datasets from Alberta, Canada 18 months before and after March 12, 2020 was conducted to measure hospitalization, emergency department and outpatient visits, and COPD outpatient exacerbations during these time periods. Mortality data were also analyzed before versus after the pandemic, taking confirmed COVID-19 infection within 30 days into account. Subgroup analysis based on COPD exacerbation risk stratification was undertaken to determine if healthcare use differed based on exacerbation risk. Finally, sex-based analysis of healthcare use during the pandemic was also completed. Results: Hospitalization or emergency department visits and outpatient treatment for acute exacerbations of COPD dropped, whereas total outpatient COPD visits, including both virtual and in person, increased during the pandemic for pwCOPD. The mortality rate increased even after adjusting for COVID-19-associated deaths. Sex-based subgroup analysis showed a greater drop in acute care use for females, but the rise in mortality was seen for both sexes, with men experiencing a greater rate of mortality than women. Conclusions: Overall, pwCOPD accessed acute care resources less during the pandemic, which may have contributed to a rise in non-COVID-19 all-cause mortality.

Development and validation of a claims-based algorithm to identify moderate exacerbations in patients with asthma treated in the US

INTRODUCTION

Definitions of moderate asthma exacerbation have been inconsistent, making their economic burden difficult to assess. An algorithm to accurately identify moderate exacerbations from claims data is needed.

METHODS

A retrospective cohort study of Reliant Medical Group patients aged ≥18 years, with ≥1 prescription claim for inhaled corticosteroid/long-acting β2-agonist, and ≥1 medical claim with a diagnosis code for asthma was conducted. The objective was to refine current algorithms to identify moderate exacerbations in claims data and assess the refined algorithm's performance. Positive and negative predictive values (PPV and NPV) were assessed via chart review of 150 moderate exacerbations events and 50 patients without exacerbations. Sensitivity analyses assessed alternative algorithms and compared healthcare resource utilization (HRU) between algorithm-identified patients (claims group) and those confirmed by chart review (confirmed group) to have experienced a moderate exacerbation.

RESULTS

Algorithm-identified moderate exacerbations were: visit of ≤1 day with an asthma exacerbation diagnosis OR visit of ≤1 day with selected asthma diagnoses AND ≥1 respiratory pharmacy claim, excluding systemic corticosteroids, within 14 days after the first claim. The algorithm's PPV was 42%; the NPV was 78%. HRU was similar for both groups.

CONCLUSION

This algorithm identified potential moderate exacerbations from claims data; however, the modest PPV underscores its limitations in identifying moderate exacerbations, although performance was partially due to identification of previously unidentified severe exacerbations. Application of this algorithm in future claims-based studies may help quantify the economic burden of moderate and severe exacerbations in asthma when an algorithm identifying severe exacerbations is applied first.

Health trajectories before initiation of non-invasive ventilation for chronic obstructive pulmonary disease: a French nationwide database analysis

Background

Chronic obstructive pulmonary disease (COPD) is the most common indication for long-term domiciliary non-invasive ventilation (NIV) but there is uncertainty in data supporting current guidelines. This study described health trajectories before initiation of at-home NIV in people with COPD, and compared mortality outcomes between groups with different pre-NIV health trajectories.

Methods

Data were from the French national health insurance reimbursement system database for individuals with COPD aged ≥40 years and ≥1 reimbursement for NIV between 1 January 2015 and 31 December 2019. Common health trajectories were determined using time sequence analysis through K-clustering (TAK analysis).

Findings

Data from 54,545 individuals were analysed; the population was elderly (median age 70 years) with multiple comorbidities. Four clusters were generated. Cluster 1 (n = 35,975/54,545; 66%) had NIV initiated in ambulatory settings or after the first acute event/exacerbation. Cluster 2 (6653/54,545; 12%) started NIV after ≥2 severe exacerbations in the previous 6 months. Cluster 3 (11,375/54,545; 21%) started NIV after frequent severe COPD-related exacerbations in the previous year. Cluster 4 (652/54,545; 1%) started NIV after many long-lasting severe exacerbations. The four clusters differed in age, sex, comorbidities, pre-NIV investigations, and prescriber/location of NIV initiation. Mortality differed significantly between clusters: highest in Cluster 4 and lowest in Cluster 1.

Interpretation

The significant heterogeneity in clinical initiation of NIV probably reflects the current lack of strong evidence and guideline recommendations. Knowledge about the characteristics and outcomes in different clusters should be used to address inequities and facilitate more consistent and personalised use domiciliary NIV in COPD.

Funding

JLP and SB are supported by the French National Research Agency in the framework of the "Investissements d'avenir" program (ANR-15-IDEX-02) and the "e-health and integrated care and trajectories medicine and MIAI artificial intelligence (ANR-19-P3IA-0003)" Chairs of excellence from the Grenoble Alpes University Foundation. This work was supported by ResMed.