Post-Stroke Infections: Insights from Big Data Using Clinical Data Warehouse (CDW)

This study analyzed a digitized database of electronic medical records (EMRs) to identify risk factors for post-stroke infections. The sample included 41,236 patients hospitalized with a first stroke diagnosis (ICD-10 codes I60, I61, I63, and I64) between January 2011 and December 2020. Logistic reg...

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Detalles Bibliográficos
Autores principales: Jung, Moa, Park, Hae-Yeon, Park, Geun-Young, Lee, Jong In, Kim, Youngkook, Kim, Yeo Hyung, Lim, Seong Hoon, Yoo, Yeun Jie, Im, Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134983/
https://www.ncbi.nlm.nih.gov/pubmed/37107102
http://dx.doi.org/10.3390/antibiotics12040740

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134983/
https://www.ncbi.nlm.nih.gov/pubmed/37107102
http://dx.doi.org/10.3390/antibiotics12040740

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