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Predictors and outcomes of healthcare-associated infections in COVID-19 patients
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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666872/ https://www.ncbi.nlm.nih.gov/pubmed/33207271 http://dx.doi.org/10.1016/j.ijid.2020.11.135 |
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author | Kumar, Gagan Adams, Alex Hererra, Martin Rojas, Erine Raybon Singh, Vartika Sakhuja, Ankit Meersman, Mark Dalton, Drew Kethireddy, Shravan Nanchal, Rahul Guddati, Achuta Kumar |
author_facet | Kumar, Gagan Adams, Alex Hererra, Martin Rojas, Erine Raybon Singh, Vartika Sakhuja, Ankit Meersman, Mark Dalton, Drew Kethireddy, Shravan Nanchal, Rahul Guddati, Achuta Kumar |
author_sort | Kumar, Gagan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7666872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76668722020-11-16 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 Int J Infect Dis Article 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. The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021-03 2020-11-15 /pmc/articles/PMC7666872/ /pubmed/33207271 http://dx.doi.org/10.1016/j.ijid.2020.11.135 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Kumar, Gagan Adams, Alex Hererra, Martin Rojas, Erine Raybon Singh, Vartika Sakhuja, Ankit Meersman, Mark Dalton, Drew Kethireddy, Shravan Nanchal, Rahul Guddati, Achuta Kumar Predictors and outcomes of healthcare-associated infections in COVID-19 patients |
title | Predictors and outcomes of healthcare-associated infections in COVID-19 patients |
title_full | Predictors and outcomes of healthcare-associated infections in COVID-19 patients |
title_fullStr | Predictors and outcomes of healthcare-associated infections in COVID-19 patients |
title_full_unstemmed | Predictors and outcomes of healthcare-associated infections in COVID-19 patients |
title_short | Predictors and outcomes of healthcare-associated infections in COVID-19 patients |
title_sort | predictors and outcomes of healthcare-associated infections in covid-19 patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666872/ https://www.ncbi.nlm.nih.gov/pubmed/33207271 http://dx.doi.org/10.1016/j.ijid.2020.11.135 |
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