Risk factors for severe illness in hospitalized Covid-19 patients at a regional hospital.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 03 06 2020
accepted: 29 07 2020
entrez: 14 8 2020
pubmed: 14 8 2020
medline: 29 8 2020
Statut: epublish

Résumé

The Covid-19 pandemic threatens to overwhelm scarce clinical resources. Risk factors for severe illness must be identified to make efficient resource allocations. To evaluate risk factors for severe illness. Retrospective, observational case series. Single-institution. First 117 consecutive patients hospitalized for Covid-19 from March 1 to April 12, 2020. None. Intensive care unit admission or death. In-hospital mortality was 24.8% and average total length of stay was 11.82 days (95% CI: 10.01 to 13.63 days). 30.8% of patients required intensive care unit admission and 29.1% required mechanical ventilation. Multivariate regression identified the amount of supplemental oxygen required at admission (OR: 1.208, 95% CI: 1.011-1.443, p = .037), sputum production (OR: 6.734, 95% CI: 1.630-27.812, p = .008), insulin dependent diabetes mellitus (OR: 11.873, 95% CI: 2.218-63.555, p = .004) and chronic kidney disease (OR: 4.793, 95% CI: 1.528-15.037, p = .007) as significant risk factors for intensive care unit admission or death. Of the 48 patients who were admitted to the intensive care unit or died, this occurred within 3 days of arrival in 42%, within 6 days in 71%, and within 9 days in 88% of patients. At our regional medical center, patients with Covid-19 had an average length of stay just under 12 days, required ICU care in 31% of cases, and had a 25% mortality rate. Patients with increased sputum production and higher supplemental oxygen requirements at admission, and insulin dependent diabetes or chronic kidney disease may be at increased risk for severe illness. A model for predicting intensive care unit admission or death with excellent discrimination was created that may aid in treatment decisions and resource allocation. Early identification of patients at increased risk for severe illness may lead to improved outcomes in patients hospitalized with Covid-19.

Sections du résumé

BACKGROUND
The Covid-19 pandemic threatens to overwhelm scarce clinical resources. Risk factors for severe illness must be identified to make efficient resource allocations.
OBJECTIVE
To evaluate risk factors for severe illness.
DESIGN
Retrospective, observational case series.
SETTING
Single-institution.
PARTICIPANTS
First 117 consecutive patients hospitalized for Covid-19 from March 1 to April 12, 2020.
EXPOSURE
None.
MAIN OUTCOMES AND MEASURES
Intensive care unit admission or death.
RESULTS
In-hospital mortality was 24.8% and average total length of stay was 11.82 days (95% CI: 10.01 to 13.63 days). 30.8% of patients required intensive care unit admission and 29.1% required mechanical ventilation. Multivariate regression identified the amount of supplemental oxygen required at admission (OR: 1.208, 95% CI: 1.011-1.443, p = .037), sputum production (OR: 6.734, 95% CI: 1.630-27.812, p = .008), insulin dependent diabetes mellitus (OR: 11.873, 95% CI: 2.218-63.555, p = .004) and chronic kidney disease (OR: 4.793, 95% CI: 1.528-15.037, p = .007) as significant risk factors for intensive care unit admission or death. Of the 48 patients who were admitted to the intensive care unit or died, this occurred within 3 days of arrival in 42%, within 6 days in 71%, and within 9 days in 88% of patients.
CONCLUSIONS
At our regional medical center, patients with Covid-19 had an average length of stay just under 12 days, required ICU care in 31% of cases, and had a 25% mortality rate. Patients with increased sputum production and higher supplemental oxygen requirements at admission, and insulin dependent diabetes or chronic kidney disease may be at increased risk for severe illness. A model for predicting intensive care unit admission or death with excellent discrimination was created that may aid in treatment decisions and resource allocation. Early identification of patients at increased risk for severe illness may lead to improved outcomes in patients hospitalized with Covid-19.

Identifiants

pubmed: 32785285
doi: 10.1371/journal.pone.0237558
pii: PONE-D-20-16851
pmc: PMC7423129
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0237558

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Justin J Turcotte (JJ)

Department of Orthopedics, Anne Arundel Medical Center, Annapolis, MD, United States of America.

Barry R Meisenberg (BR)

Department of Medicine, Anne Arundel Medical Center, Annapolis, MD, United States of America.

James H MacDonald (JH)

Department of Orthopedics, Anne Arundel Medical Center, Annapolis, MD, United States of America.

Nandakumar Menon (N)

Department of Orthopedics, Anne Arundel Medical Center, Annapolis, MD, United States of America.

Marcia B Fowler (MB)

Department of Orthopedics, Anne Arundel Medical Center, Annapolis, MD, United States of America.

Michaline West (M)

Department of Orthopedics, Anne Arundel Medical Center, Annapolis, MD, United States of America.

Jane Rhule (J)

Anne Arundel Research Institute, Anne Arundel Medical Center, Annapolis, MD, United States of America.

Sadaf S Qureshi (SS)

Anne Arundel Research Institute, Anne Arundel Medical Center, Annapolis, MD, United States of America.

Eileen B MacDonald (EB)

Department of Medicine, Anne Arundel Medical Center, Annapolis, MD, United States of America.

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