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Association study between drug prescriptions and Alzheimer's disease claims in a commercial insurance database.
Hu, Eric; Li, Tong Shu; Wineinger, Nathan E; Su, Andrew I.
Afiliação
  • Hu E; Integrative Structural and Computational Biology, Scripps Research Institute, 10550 North Torrey Pines Rd, La Jolla, CA, 92037, USA. eric.hu.tr@gmail.com.
  • Li TS; Integrative Structural and Computational Biology, Scripps Research Institute, 10550 North Torrey Pines Rd, La Jolla, CA, 92037, USA.
  • Wineinger NE; Scripps Research Translational Institute, La Jolla, CA, 92037, USA.
  • Su AI; Integrative Structural and Computational Biology, Scripps Research Institute, 10550 North Torrey Pines Rd, La Jolla, CA, 92037, USA.
Alzheimers Res Ther ; 15(1): 118, 2023 06 24.
Article em En | MEDLINE | ID: mdl-37355615
ABSTRACT
In the ongoing effort to discover treatments for Alzheimer's disease (AD), there has been considerable focus on investigating the use of repurposed drug candidates. Mining of electronic health record data has the potential to identify novel correlated effects between commonly used drugs and AD. In this study, claims from members with commercial health insurance coverage were analyzed to determine the correlation between the use of various drugs on AD incidence and claim frequency. We found that, within the insured population, several medications for psychotic and mental illnesses were associated with higher disease incidence and frequency, while, to a lesser extent, antibiotics and anti-inflammatory drugs were associated with lower AD incidence rates. The observations thus provide a general overview of the prescription and claim relationships between various drug types and Alzheimer's disease, with insights into which drugs have possible implications on resulting AD diagnosis.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doença de Alzheimer / Seguro Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Alzheimers Res Ther Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doença de Alzheimer / Seguro Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Alzheimers Res Ther Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos