Extreme restriction design as a method for reducing confounding by indication in pharmacoepidemiologic research.


Journal

Pharmacoepidemiology and drug safety
ISSN: 1099-1557
Titre abrégé: Pharmacoepidemiol Drug Saf
Pays: England
ID NLM: 9208369

Informations de publication

Date de publication:
01 2020
Historique:
received: 26 06 2018
revised: 27 09 2018
accepted: 14 11 2018
pubmed: 11 1 2019
medline: 17 12 2020
entrez: 11 1 2019
Statut: ppublish

Résumé

Confounding by indication is a concern in observational pharmacoepidemiologic studies, including those that use active comparator, new user (ACNU) designs. Here, we present a method of restriction to an indication, which we call "extreme restriction," to reduce confounding in such studies. As a case study, we evaluated the effect of proton pump inhibitors (PPIs) on hospitalization for community-acquired pneumonia (HCAP). PPI use has been associated with increased HCAP risk, but this association likely results from confounding by indication due to gastroesophageal reflux disease (GERD). Using the UK's Clinical Practice Research Datalink, we compared the risk of HCAP within 180 days between PPI users and histamine-2 receptor antagonist (H2RA) users in an ACNU cohort using Cox proportional hazard models with a time-fixed exposure definition adjusted for high-dimensional propensity score deciles. We then performed the same analysis on an "extremely-restricted" cohort of incident nonsteroidal anti-inflammatory drug (NSAID) users, some of whom received PPIs for prophylaxis. Because PPIs were given as prophylaxis in this population, confounding due to GERD should be limited. We compared effect estimates between ACNU and restricted cohorts to evaluate confounding in both analyses. In the ACNU cohort, PPIs were associated with an increased risk of HCAP (hazard ratio [HR]: 1.25; 95% confidence interval [CI]: 1.05, 1.47), but this association was not present in the restricted cohort (HR: 1.06; 95% CI: 0.75, 1.49). Restriction to a single indication for treatment may reduce confounding by indication in studies conducted in distributed data networks and other large databases.

Identifiants

pubmed: 30628152
doi: 10.1002/pds.4708
doi:

Substances chimiques

Proton Pump Inhibitors 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

26-34

Subventions

Organisme : CIHR
ID : DSE-146021
Pays : Canada

Informations de copyright

© 2019 John Wiley & Sons, Ltd.

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Auteurs

Matthew H Secrest (MH)

Centre for Clinical Epidemiology, Lady Davis Research Institute, Jewish General Hospital, McGill University, Montreal, Canada.

Robert W Platt (RW)

Centre for Clinical Epidemiology, Lady Davis Research Institute, Jewish General Hospital, McGill University, Montreal, Canada.
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
Department of Pediatrics, McGill University, Montreal, Canada.

Colin R Dormuth (CR)

Department of Anesthesiology, Pharmacology, and Therapeutics, Faculty of Medicine, University of British Columbia, Vancouver, Canada.

Dan Chateau (D)

Department of Community Health Sciences, Manitoba Centre for Health Policy, College of Medicine, Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.

Laura Targownik (L)

Department of Community Health Sciences, Manitoba Centre for Health Policy, College of Medicine, Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.

Rui Nie (R)

Centre for Clinical Epidemiology, Lady Davis Research Institute, Jewish General Hospital, McGill University, Montreal, Canada.

Carla M Doyle (CM)

Centre for Clinical Epidemiology, Lady Davis Research Institute, Jewish General Hospital, McGill University, Montreal, Canada.
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.

Sophie Dell'Aniello (S)

Centre for Clinical Epidemiology, Lady Davis Research Institute, Jewish General Hospital, McGill University, Montreal, Canada.

Kristian B Filion (KB)

Centre for Clinical Epidemiology, Lady Davis Research Institute, Jewish General Hospital, McGill University, Montreal, Canada.
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
Division of Clinical Epidemiology, Department of Medicine, McGill University, Montreal, Canada.

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