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Predictors and outcomes of healthcare-associated infections in COVID-19 patients.
Kumar, Gagan; Adams, Alex; Hererra, Martin; Rojas, Erine Raybon; Singh, Vartika; Sakhuja, Ankit; Meersman, Mark; Dalton, Drew; Kethireddy, Shravan; Nanchal, Rahul; Guddati, Achuta Kumar.
  • Kumar G; Department of Pulmonary & Critical Care, Northeast Georgia Health System, Gainesville, GA, USA. Electronic address: gagankumar@gmail.com.
  • Adams A; Department of Internal Medicine, Northeast Georgia Health System, Gainesville, GA, USA.
  • Hererra M; Department of Internal Medicine, Northeast Georgia Health System, Gainesville, GA, USA.
  • Rojas ER; Department of Pulmonary & Critical Care, Northeast Georgia Health System, Gainesville, GA, USA.
  • Singh V; Department of Internal Medicine, Apex Hospital, Varanasi, India.
  • Sakhuja A; Division of Cardiovascular Critical Care, Department of Cardiovascular and Thoracic Surgery, West Virginia University, WV, USA.
  • Meersman M; IPC Global, Alpharetta, GA, USA.
  • Dalton D; IPC Global, Alpharetta, GA, USA.
  • Kethireddy S; Department of Pulmonary & Critical Care, Northeast Georgia Health System, Gainesville, GA, USA.
  • Nanchal R; Division of Pulmonary & Critical Care, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Guddati AK; Division of Hematology/Oncology, Georgia Cancer Center, Augusta University, Augusta, GA, USA.
Int J Infect Dis ; 104: 287-292, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-1056691
ABSTRACT

INTRODUCTION:

Healthcare-associated infections (HAI) after viral illnesses are important sources of morbidity and mortality. This has not been extensively studied in hospitalized COVID-19 patients.

METHODS:

This study included all COVID-19-positive adult patients (≥18 years) hospitalized between 01 March and 05 August 2020 at the current institution. The Centers for Disease Control and Prevention definition of HAI in the acute care setting was used. The outcomes that were studied were rates and types of infections and in-hospital mortality. Several multivariable logistic regression models were constructed to examine characteristics associated with development of HAI.

RESULTS:

Fifty-nine (3.7%) of 1565 patients developed 140 separate HAIs from 73 different organisms 23 were Gram-positive, 39 were Gram-negative and 11 were fungal. Patients who developed HAI did not have higher odds of death (OR 0.85, 95% CI 0.40-1.81, p = 0.69). HAIs were associated with the use of tocilizumab (OR 5.04, 95% CI 2.4-10.6, p < 0.001), steroids (OR 3.8, 95% CI 1.4-10, p = 0.007), hydroxychloroquine (OR 3.0, 95% CI 1.0-8.8, p = 0.05), and acute kidney injury requiring hemodialysis (OR 3.7, 95% CI 1.1-12.8, p = 0.04).

CONCLUSIONS:

HAI were common in hospitalized Covid-19 patients. Tocilizumab and steroids were associated with increased risk of HAIs.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Steroids / Cross Infection / Pandemics / Antibodies, Monoclonal, Humanized / SARS-CoV-2 / COVID-19 / Hydroxychloroquine Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Steroids / Cross Infection / Pandemics / Antibodies, Monoclonal, Humanized / SARS-CoV-2 / COVID-19 / Hydroxychloroquine Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article