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Record W4406849774 · doi:10.1007/s41030-024-00285-9

Retrospective Cohort Study of Elderly Users of Single- or Multiple-Inhaler Triple Therapy for the Treatment of Asthma in the USA

2025· article· en· W4406849774 on OpenAlexaff
Russell A. Settipane, Guillaume Germain, François Laliberté, Malena Mahendran, Annalise Hilts, Mei Sheng Duh, Rosirene Paczkowski

Bibliographic record

VenuePulmonary Therapy · 2025
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsInhalerAsthmaMedicineRetrospective cohort studyCohortPhysical therapyEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: -agonist; however, characterization of elderly users of triple therapy is limited. This real-world cohort study describes demographics and clinical characteristics of elderly patients with asthma with and without comorbid chronic obstructive pulmonary disease (COPD) who are new users of triple therapy, and asthma treatment patterns preceding triple therapy initiation. METHODS: This retrospective cohort study used administrative claims data from the Optum Clinformatics Data Mart database. Eligible patients were ≥ 65 years of age with asthma or with asthma and comorbid COPD who initiated either triple therapy with single-inhaler fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI; 100/62.5/25 μg) or MITT between September 18, 2017 and September 30, 2020. Demographics, clinical characteristics, healthcare resource utilization, healthcare costs, and asthma treatment patterns were described in the 12-month period before triple therapy initiation (baseline period). RESULTS: In total, 15,557 patients were included. Among FF/UMEC/VI initiators with asthma (N = 635) mean age was 73.3 years and 66.6% were female. During the baseline period, > 75% of patients used controller therapy, > 92% used rescue medications, 27.9% experienced ≥ 1 asthma-related exacerbation, with mean annual exacerbation rate of 0.42, and mean all-cause healthcare costs were $23,407. Patients with asthma initiating MITT and patients with asthma and comorbid COPD initiating FF/UMEC/VI or MITT had similar characteristics, healthcare resource utilization, healthcare costs, and asthma treatment patterns to FF/UMEC/VI initiators with asthma. CONCLUSIONS: Triple therapy is often initiated following use of other asthma controller medications in real-world practice. Substantial rescue medication use and high disease and economic burden among this elderly patient population suggest that their asthma was not adequately controlled prior to triple therapy initiation. This retrospective study provides an early profile of elderly patients with asthma in the USA.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
models agreeAgreement compares identical category sets and study designs across arms.

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.316
Teacher spread0.282 · 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

Labeled directly by 2 models reading the full record.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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