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Record W2914798425 · doi:10.18553/jmcp.2019.25.2.205

Health Care Resource Utilization and Exacerbation Rates in Patients with COPD Stratified by Disease Severity in a Commercially Insured Population

2019· article· en· W2914798425 on OpenAlexaboutno aff
Anna Wallace, Shuchita Kaila, Valentina Bayer, Asif Shaikh, Mayura Shinde, Vincent J. Willey, Mark Napier, Joseph Singer

Bibliographic record

VenueJournal of Managed Care & Specialty Pharmacy · 2019
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCOPDExacerbationSpirometryObstructive lung diseasePopulationCohortRetrospective cohort studyCohort studyIntensive care medicineEmergency medicineRate ratioInternal medicineEnvironmental healthAsthma

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality and is associated with substantial economic burden. There is a lack of data regarding COPD outcomes and costs in a real-world setting, particularly by Global Initiative for Chronic Obstructive Lung Disease (GOLD) severity. OBJECTIVES: To (a) characterize a commercially insured U.S. population with COPD and (b) assess prevalence of exacerbations, health care resource utilization (HCRU), costs, and treatment patterns in a cohort of patients with confirmed COPD, overall and stratified by GOLD stage. METHODS: percent predicted). HCRU, costs, treatment patterns, and rate of moderate/severe exacerbation were identified from diagnosis up to 24 months. Outcomes were analyzed by univariate analysis stratified by GOLD classification. Multivariable analysis was conducted to assess associations between GOLD classification and outcomes of interest. RESULTS: 53,484 patients newly diagnosed with COPD were identified who met initial inclusion criteria: 14,293 (27%) had a qualifying spirometry claim, and 1,505 had confirmed COPD (GOLD 1, 333 [22%]; GOLD 2, 823 [55%]; GOLD 3, 317 [21%]; GOLD 4, 32 [2%]). Patients with greater disease severity had higher rates of moderate/severe COPD exacerbations (GOLD 1 and 2, 40.4 and 48.9 per 100 person-years, respectively; GOLD 3 and 4, 83.6 and 89.1 per 100 person-years, respectively). All-cause and COPD-related inpatient admissions, COPD-related office visits, and COPD-related ER visits were more prevalent with more severe GOLD classification. Mean annual COPD-related medical costs increased with GOLD classification ($5,945 for GOLD 1 patients, $18,070 for GOLD 4). COPD maintenance medication was filled by 42%, 56%, 73%, and 75% of patients in GOLD 1-4 (57% overall), respectively; combination corticosteroid/long-acting beta2-agonist inhalers were the most commonly used medication, regardless of GOLD classification. Patients with more severe disease had greater adherence (range 44%-68% of days covered for GOLD 1-4) and persistence (range 107-209 days for GOLD 1-4). CONCLUSIONS: Trends toward increases in exacerbations, HCRU, and costs were observed as airflow limitation worsened. Adherence and persistence with COPD maintenance therapy was suboptimal even with severe disease. DISCLOSURES: This study was supported by Boehringer Ingelheim Pharmaceuticals (Ridgefield, CT), which was given the opportunity to review the manuscript for medical and scientific accuracy, as well as intellectual property considerations. Willey and Singer are employees of HealthCore (parent company Anthem), which received funding from Boehringer Ingelheim to complete this study. Wallace and Shinde were employed by HealthCore at the time of this study. Wallace and Singer report stock ownership in Anthem. Napier is an employee of Anthem. Kaila, Bayer, and Shaikh are employees of Boehringer Ingelheim Pharmaceuticsls. Portions of this research were presented at the following conferences: (a) A. Wallace, S. Kaila, V. Zubek, A. Shaikh, M. Shinde, V. Willey, M. Napier, and J. Singer, Healthcare resource utilization, costs, and exacerbation rates in patients with COPD stratified by GOLD airflow limitation classification in a US commercially insured population, presented at AMCP Nexus 2017; October 16-19, 2017; Dallas, TX; and (b) A.E. Wallace, V. Zubek, S. Kaila, A. Shaikh, M. Shinde, V. Willey, M.B. Napier, and J.R. Singer, Real-world treatment patterns among newly diagnosed COPD patients according to GOLD airflow limitation severity classification in a U.S. commercially insured/Medicare Advantage population, presented at CHEST 2017 Annual Meeting; October 28-November 1, 2017; Toronto, Ontario, Canada.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.319
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations50
Published2019
Admission routes1
Has abstractyes

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