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Impact of the Severe acute respiratory syndrome coronavirus 2 pandemic on mortality associated with healthcare-associated infections.
Atkinson, Andrew; Nickel, Katelin B; Sahrmann, John M; Stwalley, Dustin; Dubberke, Erik R; McMullen, Kathleen; Marschall, Jonas; Olsen, Margaret A; Kwon, Jennie H; Burnham, Jason P.
Afiliação
  • Atkinson A; Division of Infectious Diseases, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
  • Nickel KB; Division of Infectious Diseases, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
  • Sahrmann JM; Division of Infectious Diseases, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
  • Stwalley D; Institute for Informatics, Washington University in St. Louis, St. Louis, MO, USA.
  • Dubberke ER; Division of Infectious Diseases, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
  • McMullen K; Infection Prevention, Mercy Hospital, St. Louis, MO, USA.
  • Marschall J; Division of Infectious Diseases, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
  • Olsen MA; Division of Infectious Diseases, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
  • Kwon JH; Division of Infectious Diseases, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
  • Burnham JP; Division of Infectious Diseases, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Article em En | MEDLINE | ID: mdl-37771748
ABSTRACT

Objective:

To determine the relationship between severe acute respiratory syndrome coronavirus 2 infection, hospital-acquired infections (HAIs), and mortality.

Design:

Retrospective cohort.

Setting:

Three St. Louis, MO hospitals. Patients Adults admitted ≥48 hours from January 1, 2017 to August 31, 2020.

Methods:

Hospital-acquired infections were defined as those occurring ≥48 hours after admission and were based on positive urine, respiratory, and blood cultures. Poisson interrupted time series compared mortality trajectory before (beginning January 1, 2017) and during the first 6 months of the pandemic. Multivariable logistic regression models were fitted to identify risk factors for mortality in patients with an HAI before and during the pandemic. A time-to-event analysis considered time to death and discharge by fitting Cox proportional hazards models.

Results:

Among 6,447 admissions with subsequent HAIs, patients were predominantly White (67.9%), with more females (50.9% vs 46.1%, P = .02), having slightly lower body mass index (28 vs 29, P = .001), and more having private insurance (50.6% vs 45.7%, P = .01) in the pre-pandemic period. In the pre-pandemic era, there were 1,000 (17.6%) patient deaths, whereas there were 160 deaths (21.3%, P = .01) during the pandemic. A total of 53 (42.1%) coronavirus disease 2019 (COVID-19) patients died having an HAI. Age and comorbidities increased the risk of death in patients with COVID-19 and an HAI. During the pandemic, Black patients with an HAI and COVID-19 were more likely to die than White patients with an HAI and COVID-19.

Conclusions:

In three Midwestern hospitals, patients with concurrent HAIs and COVID-19 were more likely to die if they were Black, elderly, and had certain chronic comorbidities.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article