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1.
Lancet ; 394(10210): 1737-1749, 2019 11 09.
Artigo em Inglês | MEDLINE | ID: mdl-31582314

RESUMO

BACKGROUND: To date, no studies have assessed the efficacy of single-inhaler triple therapy in asthma. Here we report on two studies that compared the single-inhaler extrafine combination of beclometasone dipropionate (BDP; inhaled corticosteroid), formoterol fumarate (FF; long-acting ß2 agonist), and glycopyrronium (G; long-acting muscarinic antagonist) with the combination of BDP with FF. METHODS: Two parallel-group, double-blind, randomised, active-controlled, phase 3 trials (Triple in Asthma With Uncontrolled Patients on Medium Strength of ICS + LABA [TRIMARAN] and Triple in Asthma High Strength Versus ICS/LABA HS and Tiotropium [TRIGGER]) recruited patients from 171 sites across 16 countries (TRIMARAN), and from 221 sites across 17 countries (TRIGGER). The sites were a mixture of secondary and tertiary care centres and specialised investigation units. Eligible patients were adults (aged 18-75 years) with uncontrolled asthma, a history of one or more exacerbations in the previous year, and previously treated with inhaled corticosteroid (TRIMARAN: medium dose; TRIGGER: high dose) plus a long-acting ß2 agonist. Enrolled patients were initially treated with BDP/FF (TRIMARAN: 100 µg BDP and 6 µg FF; TRIGGER: 200 µg BDP and 6 µg FF) for 2 weeks, then randomly assigned to treatment using an interactive response technology system with a balanced block randomisation scheme stratified by country. Patients, investigators, site staff, and sponsor staff were masked to BDP/FF/G and BDP/FF assignment. In TRIMARAN, patients were randomly assigned (1:1) to 52 weeks of BDP/FF/G (100 µg BDP, 6 µg FF, and 10 µg G) or BDP/FF (100 µg BDP and 6 µg FF), two inhalations twice daily. In TRIGGER, patients were randomly assigned (2:2:1) to 52 weeks of BDP/FF/G (200 µg BDP, 6 µg FF, and 10 µg G) or BDP/FF (200 BDP and 6 µg FF), both two inhalations twice daily, or open-label BDP/FF (200 µg BDP and 6 µg FF) two inhalations twice daily plus tiotropium 2·5 µg two inhalations once daily. Coprimary endpoints for both trials (BDP/FF/G vs BDP/FF) were pre-dose forced expiratory volume in 1 s (FEV1) at week 26 and rate of moderate and severe exacerbations over 52 weeks. Safety was assessed in all patients who received at least one dose of study treatment. These trials were registered with ClinicalTrials.gov, NCT02676076 (TRIMARAN), NCT02676089 (TRIGGER). FINDINGS: Between Feb 17, 2016, and May 17, 2018, 1155 patients in TRIMARAN were given BDP/FF/G (n=579) or BDP/FF (n=576). Between April 6, 2016, and May 28, 2018, 1437 patients in TRIGGER were given BDP/FF/G (n=573), BDP/FF (n=576), or BDP/FF plus tiotropium (n=288). Compared with the BDP/FF group, week 26 predose FEV1 improved in the BDP/FF/G group by 57 mL (95% CI 15-99; p=0·0080) in TRIMARAN and by 73 mL (26-120; p=0·0025) in TRIGGER, with reductions in the rate of moderate and severe exacerbations of 15% (rate ratio 0·85, 95% CI 0·73-0·99; p=0·033) in TRIMARAN and 12% (0·88, 0·75-1·03; p=0·11) in TRIGGER. Four patients had treatment-related serious adverse events, one in TRIMARAN in the BDP/FF/G group and three in TRIGGER-one in the BDP/FF/G and two in the BDP/FF group. Three patients in the BDP/FF/G group in TRIMARAN and two patients in TRIGGER-one in the BDP/FF/G group and one in the BDP/FF group-had adverse events leading to death. None of the deaths were considered as related to treatment. INTERPRETATION: In uncontrolled asthma, addition of a long-acting muscarinic antagonist to inhaled corticosteroid plus long-acting ß2-agonist therapy improves lung function and reduces exacerbations. FUNDING: Chiesi Farmaceutici.


Assuntos
Asma/tratamento farmacológico , Beclometasona/administração & dosagem , Fumarato de Formoterol/administração & dosagem , Glicopirrolato/administração & dosagem , Administração por Inalação , Adulto , Idoso , Beclometasona/uso terapêutico , Método Duplo-Cego , Esquema de Medicação , Combinação de Medicamentos , Feminino , Fumarato de Formoterol/uso terapêutico , Glicopirrolato/uso terapêutico , Humanos , Masculino , Pessoa de Meia-Idade , Centros de Cuidados de Saúde Secundários , Centros de Atenção Terciária , Resultado do Tratamento , Adulto Jovem
2.
ERJ Open Res ; 9(1)2023 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-36776483

RESUMO

Rationale: Acquiring high-quality spirometry data in clinical trials is important, particularly when using forced expiratory volume in 1 s or forced vital capacity as primary end-points. In addition to quantitative criteria, the American Thoracic Society (ATS)/European Respiratory Society (ERS) standards include subjective evaluation which introduces inter-rater variability and potential mistakes. We explored the value of artificial intelligence (AI)-based software (ArtiQ.QC) to assess spirometry quality and compared it to traditional over-reading control. Methods: A random sample of 2000 sessions (8258 curves) was selected from Chiesi COPD and asthma trials (n=1000 per disease). Acceptability using the 2005 ATS/ERS standards was determined by over-reader review and by ArtiQ.QC. Additionally, three respiratory physicians jointly reviewed a subset of curves (n=150). Results: The majority of curves (n=7267, 88%) were of good quality. The AI agreed with over-readers in 91% of cases, with 97% sensitivity and 93% positive predictive value. Performance was significantly better in the asthma group. In the revised subset, n=50 curves were repeated to assess intra-rater reliability (κ=0.83, 0.86 and 0.80 for each of the three reviewers). All reviewers agreed on 63% of 100 unique tests (κ=0.5). When reviewers set the consensus (gold standard), individual agreement with it was 88%, 94% and 70%. The agreement between AI and "gold-standard" was 73%; over-reader agreement was 46%. Conclusion: AI-based software can be used to measure spirometry data quality with comparable accuracy as experts. The assessment is a subjective exercise, with intra- and inter-rater variability even when the criteria are defined very precisely and objectively. By providing consistent results and immediate feedback to the sites, AI may benefit clinical trial conduct and variability reduction.

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