Validation of International Classification of Diseases criteria to identify severe influenza hospitalizations

In this cohort study of hospitalized patients with linked medical record data, we developed International Classification of Diseases (ICD) criteria that accurately identified laboratory‐confirmed, severe influenza hospitalizations (positive predictive value [PPV] 80%, 95% confidence interval [CI] 71...

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Detalles Bibliográficos
Autores principales: Snyder, Brittney M., Patterson, Megan F., Gebretsadik, Tebeb, Wu, Pingsheng, Ding, Tan, Lee, Rees L., Edwards, Kathryn M., Somerville, Lindsay A., Braciale, Thomas J., Ortiz, Justin R., Hartert, Tina V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983891/
https://www.ncbi.nlm.nih.gov/pubmed/34984832
http://dx.doi.org/10.1111/irv.12931
Descripción
Sumario:In this cohort study of hospitalized patients with linked medical record data, we developed International Classification of Diseases (ICD) criteria that accurately identified laboratory‐confirmed, severe influenza hospitalizations (positive predictive value [PPV] 80%, 95% confidence interval [CI] 71–87%), which we validated through medical record documentation. These criteria identify patients with clinically important influenza illness outcomes to inform evaluation of preventive and therapeutic interventions and public health policy recommendations.

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