Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kumar, Gagan, Adams, Alex, Hererra, Martin, Rojas, Erine Raybon, Singh, Vartika, Sakhuja, Ankit, Meersman, Mark, Dalton, Drew, Kethireddy, Shravan, Nanchal, Rahul, Guddati, Achuta Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021
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
_version_ 1783610218367680512
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
work_keys_str_mv AT kumargagan predictorsandoutcomesofhealthcareassociatedinfectionsincovid19patients
AT adamsalex predictorsandoutcomesofhealthcareassociatedinfectionsincovid19patients
AT hererramartin predictorsandoutcomesofhealthcareassociatedinfectionsincovid19patients
AT rojaserineraybon predictorsandoutcomesofhealthcareassociatedinfectionsincovid19patients
AT singhvartika predictorsandoutcomesofhealthcareassociatedinfectionsincovid19patients
AT sakhujaankit predictorsandoutcomesofhealthcareassociatedinfectionsincovid19patients
AT meersmanmark predictorsandoutcomesofhealthcareassociatedinfectionsincovid19patients
AT daltondrew predictorsandoutcomesofhealthcareassociatedinfectionsincovid19patients
AT kethireddyshravan predictorsandoutcomesofhealthcareassociatedinfectionsincovid19patients
AT nanchalrahul predictorsandoutcomesofhealthcareassociatedinfectionsincovid19patients
AT guddatiachutakumar predictorsandoutcomesofhealthcareassociatedinfectionsincovid19patients