Impact of beta-blockers on mortality and cardiovascular disease outcomes in patients with obstructive sleep apnoea: a population-based cohort study in target trial emulation framework.

Beta-blocker Cohort study Obstructive sleep apnoea Trial emulation

Journal

The Lancet regional health. Europe
ISSN: 2666-7762
Titre abrégé: Lancet Reg Health Eur
Pays: England
ID NLM: 101777707

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 03 05 2023
revised: 19 07 2023
accepted: 26 07 2023
medline: 21 8 2023
pubmed: 21 8 2023
entrez: 21 8 2023
Statut: epublish

Résumé

There is no real-world evidence regarding the association between beta-blocker use and mortality or cardiovascular outcomes in patients with obstructive sleep apnoea (OSA). We aimed to investigate the impact of beta-blocker use on all-cause mortality and cardiovascular diseases (CVDs) in patients with OSA. We conducted a target trial emulation study of 37,581 patients with newly diagnosed OSA from 1st January 2000 to 30th November 2021 using the IMRD-UK database (formerly known as the THIN database). We compared the treatment strategies of initiating beta-blocker treatment within one year versus non-beta-blocker treatment through the method of clone-censor-weight. Covariates, including patients' demographics, lifestyle, comorbidities, and recent medications, were measured and controlled. Patients were followed up for all-cause mortality or composite CVD outcomes (angina, myocardial infarction, stroke/transient ischaemic attack, heart failure, or atrial fibrillation). We estimated the five-year absolute risks, risk differences and risk ratio with 95% confidence intervals (CIs) with standardised, weighted pooled logistic regression, which is a discrete-time hazard model for survival analysis. Several sensitivity analyses were performed, including multiple imputation addressing the missing data. The median follow-up time was 4.1 (interquartile range, 1.9-7.8) years. The five-year absolute risk of all-cause mortality and CVD outcomes were 4.9% (95% CI, 3.8-6.0) and 13.0% (95% CI, 11.4-15.0) among beta-blocker users, and 4.0% (95% CI, 3.8-4.2) and 9.4% (95% CI, 9.1-9.7) among non-beta-blocker users, respectively. The five-year absolute risk difference and risk ratio between the two groups for all-cause mortality and CVD outcomes were 0.9% (95% CI, -0.2 to 2.1) and 1.22 (95% CI, 0.96-1.54), and 3.5% (95% CI, 2.1-5.5) and 1.37 (95% CI, 1.22-1.62), respectively. Findings were consistent across the sensitivity analyses. Beta-blocker treatment was associated with an increased risk of CVD and a trend for an increased risk of mortality among patients with OSA. Further studies are needed to confirm our findings. Innovation and Technology Commission of the Hong Kong Special Administration Region Government.

Sections du résumé

Background UNASSIGNED
There is no real-world evidence regarding the association between beta-blocker use and mortality or cardiovascular outcomes in patients with obstructive sleep apnoea (OSA). We aimed to investigate the impact of beta-blocker use on all-cause mortality and cardiovascular diseases (CVDs) in patients with OSA.
Methods UNASSIGNED
We conducted a target trial emulation study of 37,581 patients with newly diagnosed OSA from 1st January 2000 to 30th November 2021 using the IMRD-UK database (formerly known as the THIN database). We compared the treatment strategies of initiating beta-blocker treatment within one year versus non-beta-blocker treatment through the method of clone-censor-weight. Covariates, including patients' demographics, lifestyle, comorbidities, and recent medications, were measured and controlled. Patients were followed up for all-cause mortality or composite CVD outcomes (angina, myocardial infarction, stroke/transient ischaemic attack, heart failure, or atrial fibrillation). We estimated the five-year absolute risks, risk differences and risk ratio with 95% confidence intervals (CIs) with standardised, weighted pooled logistic regression, which is a discrete-time hazard model for survival analysis. Several sensitivity analyses were performed, including multiple imputation addressing the missing data.
Findings UNASSIGNED
The median follow-up time was 4.1 (interquartile range, 1.9-7.8) years. The five-year absolute risk of all-cause mortality and CVD outcomes were 4.9% (95% CI, 3.8-6.0) and 13.0% (95% CI, 11.4-15.0) among beta-blocker users, and 4.0% (95% CI, 3.8-4.2) and 9.4% (95% CI, 9.1-9.7) among non-beta-blocker users, respectively. The five-year absolute risk difference and risk ratio between the two groups for all-cause mortality and CVD outcomes were 0.9% (95% CI, -0.2 to 2.1) and 1.22 (95% CI, 0.96-1.54), and 3.5% (95% CI, 2.1-5.5) and 1.37 (95% CI, 1.22-1.62), respectively. Findings were consistent across the sensitivity analyses.
Interpretation UNASSIGNED
Beta-blocker treatment was associated with an increased risk of CVD and a trend for an increased risk of mortality among patients with OSA. Further studies are needed to confirm our findings.
Funding UNASSIGNED
Innovation and Technology Commission of the Hong Kong Special Administration Region Government.

Identifiants

pubmed: 37601338
doi: 10.1016/j.lanepe.2023.100715
pii: S2666-7762(23)00134-5
pmc: PMC10432194
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100715

Informations de copyright

© 2023 The Author(s).

Déclaration de conflit d'intérêts

All authors have completed the ICMJE uniform disclosure form at https://www.thelancet.com/for-authors/forms?section=icmje-coi. ISM reports research grant income to her institution from Menarini, EMA, Sanofi, HDR UK, British Heart Foundation, NIHR HTA and IMI outside the submitted work, institutional consultancy income from AstraZeneca outside the submitted work and personal income from AstraZeneca, Amgen and Amarin outside the submitted work. TMM reports grants from the British Heart Foundation, The National Institute for Health Research Health Technology Assessment (NIHR HTA), Menarini, MSD. Personal income from AstraZeneca (advice on patient/public involvement), Novartis (steering committee), Viatris (lecture fees), Novartis (DSMB), he also served on the HEAT study DSMB (NIHR HTA funded) and he is a trustee of the Scottish Heart Arterial Risk Prevention (SHARP) organisation. KKCM reported receiving grants from the C W Maplethorpe Fellowship, European Union Horizon 2020, National Institute for Health and Care Research (NIHR), and the Innovation and Technology Commission of the Government of the Hong Kong Special Administration Region, and the Hong Kong Research Grants Council (RGC) and receiving personal fees from IQVIA Ltd outside the submitted work. AC, CJ, ADS and LW declare no competing interests.

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Auteurs

Anthony Chen (A)

Research Department of Practice and Policy, UCL School of Pharmacy, Mezzanine Floor, BMA House, Tavistock Square, London, WC1H 9JP, England.
Faculty of Medicine & Health Sciences, University of Nottingham, Clinical Sciences Building, Nottingham City Hospital, Hucknall Road, Nottingham, NG5 1PB, England.

Chengsheng Ju (C)

Research Department of Practice and Policy, UCL School of Pharmacy, Mezzanine Floor, BMA House, Tavistock Square, London, WC1H 9JP, England.

Isla S Mackenzie (IS)

Division of Molecular and Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, Scotland.

Thomas M MacDonald (TM)

Division of Molecular and Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, Scotland.

Allan D Struthers (AD)

Division of Molecular and Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, Scotland.

Li Wei (L)

Research Department of Practice and Policy, UCL School of Pharmacy, Mezzanine Floor, BMA House, Tavistock Square, London, WC1H 9JP, England.
Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, China.
Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, England.

Kenneth K C Man (KKC)

Research Department of Practice and Policy, UCL School of Pharmacy, Mezzanine Floor, BMA House, Tavistock Square, London, WC1H 9JP, England.
Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, China.
Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, England.
Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Classifications MeSH