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1326. Possible Predictors of Coinfection in COVID-19: Making a Difficult Diagnosis
BACKGROUND: Coinfection with COVID-19 and a secondary pathogen contributes to morbidity and mortality. Despite its contribution to outcomes, diagnosing coinfection is challenging and no predictive tools have been established. To better assess risk factors for coinfection, we performed a review of al...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644336/ http://dx.doi.org/10.1093/ofid/ofab466.1518 |
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author | Lehmann, Christopher J Shah, Rohan N Zhu, Mengqi Pettit, Natasha N Ridgway, Jessica Sherer, Renslow |
author_facet | Lehmann, Christopher J Shah, Rohan N Zhu, Mengqi Pettit, Natasha N Ridgway, Jessica Sherer, Renslow |
author_sort | Lehmann, Christopher J |
collection | PubMed |
description | BACKGROUND: Coinfection with COVID-19 and a secondary pathogen contributes to morbidity and mortality. Despite its contribution to outcomes, diagnosing coinfection is challenging and no predictive tools have been established. To better assess risk factors for coinfection, we performed a review of all patients hospitalized for COVID-19 in our institution and evaluated them for candidate predictors of coinfection. METHODS: Medical records were reviewed in all patients admitted with COVID-19 at University of Chicago Medical Center between March 1, 2020 and April 18, 2020. Those identified as having coinfection were compared to those without coinfection. Secondary review was performed for characteristics of the coinfection, including diagnosis, microbiology, drug resistance, and nosocomial acquisition. RESULTS: 401 patients were included in the study, the mean age was 60 years (SD-17), 29% had severe disease, and 13% died. At least one test for coinfection was performed in 99% of patients. Coinfection was identified in 15% (72/401) of patients. Coinfection was associated with older age, disease severity, and hospital complications, such as DVT/PE, AKI, and delirium. [Table 1] No symptom, non-microbiologic test, radiograph, or preexisting condition was associated with coinfection. Dyspnea, chest pain, and obesity were more common in those without coinfection. 74% received antibiotics. The most common sites for coinfection were urinary 33%, lower respiratory 26%, and blood 24%. [Table2] Bacteria were most frequently recovered (82%). The most commonly recovered pathogens were Enterobacterales (42%), Staphylococcus aureus (12%), and Pseudomonas (4%). 42% of the infections were hospital acquired, 16% caused by MDRO, and 13% were catheter or ventilator associated. Table 1. Clinical Characteristics Associated with Coinfection [Image: see text] Abbreviations: sd, standard deviation; WBC, white blood cell count; CRP, C-reactive protein; COPD, chronic obstructive pulmonary disease; ARDS, acute respiratory distress syndrome; DVT, deep venous thrombosis; PE, pulmonary embolism; MI, myocardial infarction; AKI, acute kidney injury Table 2. Characteristics of Coinfection [Image: see text] Abbreviations: Cath, catheter; Vent, ventilator; Assoc, Associated; MDRO, Multiple Drug Resistant Organism CONCLUSION: Coinfection in COVID-19 was most closely associated with age, COVID-19 disease severity, and complicated hospitalization. No presenting symptoms, non-microbiologic test, or radiograph was associated with coinfection, underscoring the challenge in diagnosing coinfection. A remarkable number of infections were hospital acquired, MDRO, and catheter/ventilator associated. Further prospective study on coinfection in COVID-19 is needed to guide diagnosis and treatment. DISCLOSURES: Renslow Sherer, MD, Gilead Sciences, Inc (Grant/Research Support) |
format | Online Article Text |
id | pubmed-8644336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86443362021-12-06 1326. Possible Predictors of Coinfection in COVID-19: Making a Difficult Diagnosis Lehmann, Christopher J Shah, Rohan N Zhu, Mengqi Pettit, Natasha N Ridgway, Jessica Sherer, Renslow Open Forum Infect Dis Poster Abstracts BACKGROUND: Coinfection with COVID-19 and a secondary pathogen contributes to morbidity and mortality. Despite its contribution to outcomes, diagnosing coinfection is challenging and no predictive tools have been established. To better assess risk factors for coinfection, we performed a review of all patients hospitalized for COVID-19 in our institution and evaluated them for candidate predictors of coinfection. METHODS: Medical records were reviewed in all patients admitted with COVID-19 at University of Chicago Medical Center between March 1, 2020 and April 18, 2020. Those identified as having coinfection were compared to those without coinfection. Secondary review was performed for characteristics of the coinfection, including diagnosis, microbiology, drug resistance, and nosocomial acquisition. RESULTS: 401 patients were included in the study, the mean age was 60 years (SD-17), 29% had severe disease, and 13% died. At least one test for coinfection was performed in 99% of patients. Coinfection was identified in 15% (72/401) of patients. Coinfection was associated with older age, disease severity, and hospital complications, such as DVT/PE, AKI, and delirium. [Table 1] No symptom, non-microbiologic test, radiograph, or preexisting condition was associated with coinfection. Dyspnea, chest pain, and obesity were more common in those without coinfection. 74% received antibiotics. The most common sites for coinfection were urinary 33%, lower respiratory 26%, and blood 24%. [Table2] Bacteria were most frequently recovered (82%). The most commonly recovered pathogens were Enterobacterales (42%), Staphylococcus aureus (12%), and Pseudomonas (4%). 42% of the infections were hospital acquired, 16% caused by MDRO, and 13% were catheter or ventilator associated. Table 1. Clinical Characteristics Associated with Coinfection [Image: see text] Abbreviations: sd, standard deviation; WBC, white blood cell count; CRP, C-reactive protein; COPD, chronic obstructive pulmonary disease; ARDS, acute respiratory distress syndrome; DVT, deep venous thrombosis; PE, pulmonary embolism; MI, myocardial infarction; AKI, acute kidney injury Table 2. Characteristics of Coinfection [Image: see text] Abbreviations: Cath, catheter; Vent, ventilator; Assoc, Associated; MDRO, Multiple Drug Resistant Organism CONCLUSION: Coinfection in COVID-19 was most closely associated with age, COVID-19 disease severity, and complicated hospitalization. No presenting symptoms, non-microbiologic test, or radiograph was associated with coinfection, underscoring the challenge in diagnosing coinfection. A remarkable number of infections were hospital acquired, MDRO, and catheter/ventilator associated. Further prospective study on coinfection in COVID-19 is needed to guide diagnosis and treatment. DISCLOSURES: Renslow Sherer, MD, Gilead Sciences, Inc (Grant/Research Support) Oxford University Press 2021-12-04 /pmc/articles/PMC8644336/ http://dx.doi.org/10.1093/ofid/ofab466.1518 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Poster Abstracts Lehmann, Christopher J Shah, Rohan N Zhu, Mengqi Pettit, Natasha N Ridgway, Jessica Sherer, Renslow 1326. Possible Predictors of Coinfection in COVID-19: Making a Difficult Diagnosis |
title | 1326. Possible Predictors of Coinfection in COVID-19: Making a Difficult Diagnosis |
title_full | 1326. Possible Predictors of Coinfection in COVID-19: Making a Difficult Diagnosis |
title_fullStr | 1326. Possible Predictors of Coinfection in COVID-19: Making a Difficult Diagnosis |
title_full_unstemmed | 1326. Possible Predictors of Coinfection in COVID-19: Making a Difficult Diagnosis |
title_short | 1326. Possible Predictors of Coinfection in COVID-19: Making a Difficult Diagnosis |
title_sort | 1326. possible predictors of coinfection in covid-19: making a difficult diagnosis |
topic | Poster Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644336/ http://dx.doi.org/10.1093/ofid/ofab466.1518 |
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