Alzheimer's disease and related dementias risk: Comparing users of non-selective and M3-selective bladder antimuscarinic drugs.


Journal

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

Informations de publication

Date de publication:
12 2020
Historique:
received: 02 01 2020
revised: 21 04 2020
accepted: 20 07 2020
pubmed: 28 8 2020
medline: 25 11 2021
entrez: 28 8 2020
Statut: ppublish

Résumé

Bladder antimuscarinic (BAM) drug use is associated with increased risk of Alzheimer's disease and related dementias (ADRD). It is hypothesized that BAMs with non-selective receptor binding may increase ADRD risk more than M3-selective BAMs. This study compared ADRD risk for users of non-selective and M3-selective BAMs and examines ADRD risk associated with overall BAM use. Retrospective cohort study of Medicare claims for 71 688 individuals who used BAM drugs during 2007-2009 without an ADRD diagnosis. We compared ADRD incidence (2011-2016) between non-selective BAM users (fesoterodine, flavoxate, oxybutynin, tolterodine, trospium) and M3-selective BAM users (darifenacin, solifenacin). Logistic regressions compared individuals using target drugs in the same category of total standardized daily doses (TSDD) as a standardized measure of drug exposure, and adjusted for age, sex, race/ethnicity, healthcare utilization, other medication use, socioeconomic status, and comorbidities. Secondary analyses compared ADRD risk associated with different doses of BAMs overall. Non-selective BAM use (compared to M3-selective) was not significantly associated with ADRD incidence. Odds ratios for non-selective use were 0.97 (CI: 0.89-1.04) for 1-364 TSDD, 0.94 (CI: 0.83-1.06) for 365-729, 1.00 (CI: 0.87-1.16) for 730-1094, and 1.03 (CI: 0.88-1.20) for >1094. Higher TSDD of BAMs overall (combining both non-selective and M3-selective BAMs), when compared to 1-364 TSDD, were associated with increased ADRD incidence (OR = 1.05 (CI: 0.99-1.10) for 365-729, OR = 1.11 (CI: 1.05-1.17) for 730-1094, and OR = 1.10 (CI: 1.04-1.15) for >1094). Non-selective and M3-selective BAM users had similar odds of ADRD incidence, and BAM use overall was significantly associated with ADRD incidence.

Identifiants

pubmed: 32852147
doi: 10.1002/pds.5098
pmc: PMC7825274
mid: NIHMS1662204
doi:

Substances chimiques

Muscarinic Antagonists 0
Pharmaceutical Preparations 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1650-1658

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL126804
Pays : United States
Organisme : NIH HHS
ID : R01MH121424-01A1
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH121424
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS099129
Pays : United States
Organisme : NIH HHS
ID : U01 AG006781
Pays : United States
Organisme : NIH HHS
ID : R01AG055401
Pays : United States
Organisme : CDC HHS
ID : U01CE002967
Pays : United States
Organisme : NIA NIH HHS
ID : K76 AG059929
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG055401
Pays : United States
Organisme : NIA NIH HHS
ID : RF1 AG056326
Pays : United States
Organisme : ACL HHS
ID : U01CE002967
Pays : United States
Organisme : NHLBI NIH HHS
ID : 1OT3HL152448-01
Pays : United States
Organisme : NIA NIH HHS
ID : K76AG059929
Pays : United States
Organisme : NIH HHS
ID : R01HL130462
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL130462
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01HL126804
Pays : United States
Organisme : NIH HHS
ID : R01 AG056326
Pays : United States
Organisme : NIH HHS
ID : P30AG043073
Pays : United States
Organisme : NIH HHS
ID : R01 NS099129
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG006781
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG043073
Pays : United States

Informations de copyright

© 2020 John Wiley & Sons Ltd.

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Auteurs

Douglas Barthold (D)

The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, Washington, USA.
The Plein Center for Geriatric Pharmacy Research, Education, and Outreach, School of Pharmacy, University of Washington, Seattle, Washington, USA.

Zachary A Marcum (ZA)

The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, Washington, USA.
The Plein Center for Geriatric Pharmacy Research, Education, and Outreach, School of Pharmacy, University of Washington, Seattle, Washington, USA.

Shelly L Gray (SL)

The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, Washington, USA.
The Plein Center for Geriatric Pharmacy Research, Education, and Outreach, School of Pharmacy, University of Washington, Seattle, Washington, USA.

Julie Zissimopoulos (J)

Price School of Public Policy, Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, California, USA.

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Classifications MeSH