Abstract
Hospitalized patients with coronavirus disease 2019 (COVID-19) experiencing respiratory symptoms have different complications (inflammatory, co-infection, and thrombotic) that are identifiable by analytics patterns. Personalized treatment decisions decreased early mortality (odds ratio [OR]. 144; 95% confidence interval [CI]. 03-.686; P = .015). Increasing age (OR 1.06; P = .038) and therapeutic effort limitation (OR 9.684; P < .001) were associated with higher mortality.
| Original language | American English |
|---|---|
| Pages (from-to) | 127-132 |
| Number of pages | 6 |
| Journal | Clinical Infectious Diseases |
| Volume | 74 |
| Issue number | 1 |
| DOIs | |
| State | Indexed - 1 Jan 2022 |
Bibliographical note
Publisher Copyright:© 2020 The Author(s). Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- COVID-19
- patterns
- personalized therapy
- pneumonia
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