Early predictors of in-hospital mortality in patients with COVID-19 in a large American cohort.


Journal

Internal and emergency medicine
ISSN: 1970-9366
Titre abrégé: Intern Emerg Med
Pays: Italy
ID NLM: 101263418

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 19 06 2020
accepted: 12 09 2020
pubmed: 25 9 2020
medline: 25 11 2020
entrez: 24 9 2020
Statut: ppublish

Résumé

Coronavirus disease (COVID-19) has aggressively spread across the United States with numerous fatalities. Risk factors for mortality are poorly described. This was a multicentered cohort study identifying patient characteristics and diagnostic markers present on initial evaluation associated with mortality in hospitalized COVID-19 patients. Epidemiological, demographic, clinical, and laboratory characteristics of survivors and non-survivors were obtained from electronic medical records and a multivariable survival regression analysis was conducted to identify risk factors of in-hospital death. Of 1629 consecutive hospitalized adult patients with confirmed COVID-19 from March 1st thru March 31, 2020, 1461 patients were included in final analysis. 327 patients died during hospitalization and 1134 survived to discharge. Median age was 62 years (IQR 50.0, 74.0) with 56% of hospitalized patients under the age of 65. 47% were female and 63% identified as African American. Most patients (55%) had either no or one comorbidity. In multivariable analysis, older age, admission respiratory status including elevated respiratory rate and oxygen saturation ≤ 88%, and initial laboratory derangements of creatinine > 1.33 mg/dL, alanine aminotransferase > 40 U/L, procalcitonin > 0.5 ng/mL, and lactic acid ≥ 2 mmol/L increased risk of in-hospital death. This study is one of the largest analyses in an epicenter for the COVID-19 pandemic. Older age, low oxygen saturation and elevated respiratory rate on admission, and initial lab derangements including renal and hepatic dysfunction and elevated procalcitonin and lactic acid are risk factors for in-hospital death. These factors can help clinicians prognosticate and should be considered in management strategies.

Identifiants

pubmed: 32970246
doi: 10.1007/s11739-020-02509-7
pii: 10.1007/s11739-020-02509-7
pmc: PMC7512216
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1485-1499

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Auteurs

Amit Bahl (A)

Department of Emergency Medicine, Beaumont Hospital, Royal Oak, 3601 13 Mile Rd, Royal Oak, MI, 48073, USA. Amit.bahl@beaumont.edu.

Morgan Nees Van Baalen (MN)

Oakland University William Beaumont School of Medicine, Rochester, MI, USA.

Laura Ortiz (L)

Department of Emergency Medicine, Beaumont Hospital, Royal Oak, 3601 13 Mile Rd, Royal Oak, MI, 48073, USA.

Nai-Wei Chen (NW)

Beaumont Health Research Institute, Royal Oak, MI, USA.

Courtney Todd (C)

Oakland University William Beaumont School of Medicine, Rochester, MI, USA.

Merit Milad (M)

Oakland University William Beaumont School of Medicine, Rochester, MI, USA.

Alex Yang (A)

Oakland University William Beaumont School of Medicine, Rochester, MI, USA.

Jonathan Tang (J)

Oakland University William Beaumont School of Medicine, Rochester, MI, USA.

Madalyn Nygren (M)

Oakland University William Beaumont School of Medicine, Rochester, MI, USA.

Lihua Qu (L)

Beaumont Health Research Institute, Royal Oak, MI, USA.

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