Risk of cardiac events with azithromycin—A prediction model

Previous studies have suggested an increased risk of cardiac events with azithromycin, but the predictors of such events are unknown. We sought to develop and validate two prediction models to identify such predictors. We used data from Truven Marketscan Database (01/2009 to 06/2015). Using a split-...

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Detalles Bibliográficos
Autores principales: Patel, Haridarshan, DiDomenico, Robert J., Suda, Katie J., Schumock, Glen T., Calip, Gregory S., Lee, Todd A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7561086/
https://www.ncbi.nlm.nih.gov/pubmed/33057356
http://dx.doi.org/10.1371/journal.pone.0240379

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7561086/
https://www.ncbi.nlm.nih.gov/pubmed/33057356
http://dx.doi.org/10.1371/journal.pone.0240379

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