# Predicting intensive care unit admission and death for COVID-19 patients in the emergency department using early warning scores

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-intensive-care-unit-admission-and-death-for-covid-19-patients-in-the/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marcello Covino,Claudio Sandroni,Michele Santoro,Luca Sabia,Benedetta Simeoni,Maria Grazia Bocci,Veronica Ojetti,Marcello Candelli,Massimo Antonelli,Antonio Gasbarrini,Francesco Franceschi |
| Citations | 148 |
| DOI | 10.1016/j.resuscitation.2020.08.124 |
| Fields | Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | http://www.resuscitationjournal.com/article/S0300957220304391/pdf |
| OpenAlex ID | https://openalex.org/W3084338058 |
| PMID | 32918985 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Marcello Covino](https://scholariq.org/researchers/marcello-covino/)

## Paper primary topic

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)

## Paper topics

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)
- [COVID-19 and healthcare impacts](https://scholariq.org/topics/covid-19-and-healthcare-impacts/)
- [Emergency and Acute Care Studies](https://scholariq.org/topics/emergency-and-acute-care-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.