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Methodological Challenges of Emulating a Target Trial to Assess Effectiveness of Timing of PCSK9 Inhibitor Treatment Initiation Post Myocardial Infarction

Pharmacoepidemiology and Drug Safety, vol. 35, pp. e70354

Abstract

BACKGROUND: Studies comparing treatment strategies based on initiation timing-such as starting PCSK9 inhibitor (PCSK9i) therapy sooner versus later after a myocardial infarction (MI)-are prone to immortal time bias. Clone-censor-weight methods can address these issues and allow the researcher to emulate a trial in which patients are assigned to protocols dictating when PCSK9i is initiated. This study aimed to evaluate the comparability of patients in a clone-censor-weight setup who initiated a PCSK9i within 12 months post-MI versus non-initiators. METHODS: We included adult patients hospitalized for MI in Sweden (2015-2021) and followed them for 3 years. We considered two treatment strategies: initiating PCSK9i within 12 months versus not initiating PCSK9i during the same period. We applied the clone-censor-weight method to address immortal time bias and assessed remaining bias using covariate balance metrics and negative control outcomes. RESULTS: The primary study sample included 38 627 episodes of MI, with 561 (1.5%) initiating PCSK9i treatment within 12 months. These patients were younger, had higher baseline LDL-C levels, and were more frequently treated with ezetimibe during their post-MI follow-up compared to non-initiators. Although clone-censor-weight estimation was free of immortal time bias, it faced challenges in achieving adequate balance of covariates due to the high rates of censoring (relatively small number of people initiating a PCSK9i in the first year) and strong association between covariates and censoring. Truncation of weights provided more stable estimates but at the expense of some covariate imbalances. CONCLUSIONS: The clone-censor-weight method is a promising approach that allows researchers to answer questions about the effect of treatment policies. But practical guidance is needed to address problems that arise from small, highly imbalanced groups, which is common with most newly introduced treatments.

Authors 13

  1. Thomas Cars corresponding
    Affiliation as printed

    Sence Research AB Uppsala Sweden

  2. Affiliation as printed

    Sence Research AB Uppsala Sweden

  3. Amgen (United Kingdom)

    Affiliation as printed

    Amgen Ltd, Center for Observational Research Cambridge UK

  4. Amgen (United States)

    Affiliation as printed

    Amgen Inc, Center for Observational Research Thousand Oaks California USA

  5. Amgen (United States)

    Affiliation as printed

    Amgen Inc, Center for Observational Research Thousand Oaks California USA

  6. University of Leeds

    Affiliation as printed

    School of Medicine University of Leeds Leeds UK

  7. Klinikum Ludwigshafen

    Affiliation as printed

    Department of Cardiology Herzzentrum Ludwigshafen Ludwigshafen am Rhein Germany

  8. Leiden University Medical Center

    Affiliation as printed

    Department of Cardiology Leiden University Medical Center the Netherlands

  9. Inserm · Université Paris Cité · Assistance Publique – Hôpitaux de Paris · Hôpital Bichat-Claude-Bernard

    Affiliation as printed

    AP‐HP, Hôpital Bichat Paris France

    Université Paris‐Cité, INSERM_1148 Paris France

  10. Uppsala University

    Affiliation as printed

    Department of Medical Sciences Uppsala University Uppsala Sweden

  11. Uppsala University

    Affiliation as printed

    Department of Medical Sciences Uppsala University Uppsala Sweden

    Uppsala Clinical Research Center Uppsala University Uppsala Sweden

  12. Uppsala University

    Affiliation as printed

    Department of Medical Sciences Uppsala University Uppsala Sweden

    Uppsala Clinical Research Center Uppsala University Uppsala Sweden

  13. Duke University

    Affiliation as printed

    Department of Population Health Science Duke University Durham North Carolina USA

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