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Predictors of respiratory bacterial co-infection in hospitalized COVID-19 patients.
Bolker, Austin; Coe, Kelci; Smith, Jessica; Stevenson, Kurt; Wang, Shu-Hua; Reed, Erica.
  • Bolker A; Department of Pharmacy, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Coe K; Department of Internal Medicine, Division of Infectious Diseases, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Smith J; Department of Pharmacy, The Ohio State University Wexner Medical Center, Columbus, OH, USA; Department of Internal Medicine, Division of Infectious Diseases, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Stevenson K; Department of Internal Medicine, Division of Infectious Diseases, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Wang SH; Department of Internal Medicine, Division of Infectious Diseases, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Reed E; Department of Pharmacy, The Ohio State University Wexner Medical Center, Columbus, OH, USA; Department of Internal Medicine, Division of Infectious Diseases, The Ohio State University Wexner Medical Center, Columbus, OH, USA. Electronic address: erica.reed@osumc.edu.
Diagn Microbiol Infect Dis ; 102(1): 115558, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1446562
ABSTRACT
The primary objectives were to determine the prevalence of and identify variables associated with respiratory bacterial co-infection in COVID-19 inpatients. Secondary outcomes included length of stay and in-hospital mortality. Eighty-two (11.2%) of 735 COVID-19 inpatients had respiratory bacterial co-infection. Fifty-seven patients met inclusion criteria and were matched to three patients lacking co-infection (N = 228 patients). Patients with co-infection were more likely to receive antibiotics [57 (100%) vs 130 (76%), P < 0.0001] and for a longer duration [19 (13-33) vs 8 (4-13) days, P < 0.0001]. The multi-variable logistic regression model revealed risk factors of respiratory bacterial co-infection to be admission from SNF/LTAC/NH (AOR 6.8, 95% CI 2.6-18.2), severe COVID-19 (AOR 3.03, 95% CI 0.78-11.9), and leukocytosis (AOR 3.03, 95% CI 0.99-1.16). Although respiratory bacterial co-infection is rare in COVID-19 inpatients, antibiotic use is common. Early recognition of respiratory bacterial coinfection predictors in COVID-19 inpatients may improve empiric antibiotic prescribing.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Tract Infections / Bacterial Infections / Coinfection / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Diagn Microbiol Infect Dis Year: 2022 Document Type: Article Affiliation country: J.diagmicrobio.2021.115558

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Tract Infections / Bacterial Infections / Coinfection / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Diagn Microbiol Infect Dis Year: 2022 Document Type: Article Affiliation country: J.diagmicrobio.2021.115558