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Microbial coinfections and superinfections in critical COVID-19: a Kenyan retrospective cohort analysis
OBJECTIVES: The aim of our study was to outline the burden, risk factors, and outcomes for critical COVID-19 patients with coinfections or superinfections. METHODS: This was a retrospective descriptive study of adults who were admitted with critical COVID-19 for ≥ 24 hours. Data collected included d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489262/ https://www.ncbi.nlm.nih.gov/pubmed/35721772 http://dx.doi.org/10.1016/j.ijregi.2021.09.008 |
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author | Rakiro, Joe Shah, Jasmit Waweru-Siika, Wangari Wanyoike, Ivy Riunga, Felix |
author_facet | Rakiro, Joe Shah, Jasmit Waweru-Siika, Wangari Wanyoike, Ivy Riunga, Felix |
author_sort | Rakiro, Joe |
collection | PubMed |
description | OBJECTIVES: The aim of our study was to outline the burden, risk factors, and outcomes for critical COVID-19 patients with coinfections or superinfections. METHODS: This was a retrospective descriptive study of adults who were admitted with critical COVID-19 for ≥ 24 hours. Data collected included demographic profiles and other baseline characteristics, laboratory and radiological investigations, medical interventions, and clinical outcomes. Outcomes of interest included the presence or absence of coinfections or superinfections, and in-hospital mortality. Differences between those with and without coinfections or superinfections were compared for statistical significance. RESULTS: In total, 321 patient records were reviewed. Baseline characteristics included a median age (IQR) of 61.4 (51.4–72.9) years, and a predominance of male (71.3%) and African/black (66.4%) patients. Death occurred in 132 (44.1%) patients, with a significant difference noted between those with added infections (58.2%) and those with none (36.6%) (p = 0.002, odds ratio (OR) = 2.41). One patient was coinfected with pulmonary tuberculosis. Approximately two-thirds of patients received broad-spectrum antimicrobial therapy. CONCLUSION: Added infections in critically ill COVID-19 patients were relatively uncommon but, where present, were associated with higher mortality. Empiric use of broad-spectrum antimicrobials was common, and may have led to the selection of multidrug-resistant organisms. More robust local data on antimicrobial susceptibility patterns may help in appropriate antibiotic selection, in order to improve outcomes without driving up rates of drug-resistant pathogens. |
format | Online Article Text |
id | pubmed-8489262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84892622021-10-04 Microbial coinfections and superinfections in critical COVID-19: a Kenyan retrospective cohort analysis Rakiro, Joe Shah, Jasmit Waweru-Siika, Wangari Wanyoike, Ivy Riunga, Felix IJID Reg Coronavirus (COVID-19) Collection OBJECTIVES: The aim of our study was to outline the burden, risk factors, and outcomes for critical COVID-19 patients with coinfections or superinfections. METHODS: This was a retrospective descriptive study of adults who were admitted with critical COVID-19 for ≥ 24 hours. Data collected included demographic profiles and other baseline characteristics, laboratory and radiological investigations, medical interventions, and clinical outcomes. Outcomes of interest included the presence or absence of coinfections or superinfections, and in-hospital mortality. Differences between those with and without coinfections or superinfections were compared for statistical significance. RESULTS: In total, 321 patient records were reviewed. Baseline characteristics included a median age (IQR) of 61.4 (51.4–72.9) years, and a predominance of male (71.3%) and African/black (66.4%) patients. Death occurred in 132 (44.1%) patients, with a significant difference noted between those with added infections (58.2%) and those with none (36.6%) (p = 0.002, odds ratio (OR) = 2.41). One patient was coinfected with pulmonary tuberculosis. Approximately two-thirds of patients received broad-spectrum antimicrobial therapy. CONCLUSION: Added infections in critically ill COVID-19 patients were relatively uncommon but, where present, were associated with higher mortality. Empiric use of broad-spectrum antimicrobials was common, and may have led to the selection of multidrug-resistant organisms. More robust local data on antimicrobial susceptibility patterns may help in appropriate antibiotic selection, in order to improve outcomes without driving up rates of drug-resistant pathogens. Elsevier 2021-10-04 /pmc/articles/PMC8489262/ /pubmed/35721772 http://dx.doi.org/10.1016/j.ijregi.2021.09.008 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Coronavirus (COVID-19) Collection Rakiro, Joe Shah, Jasmit Waweru-Siika, Wangari Wanyoike, Ivy Riunga, Felix Microbial coinfections and superinfections in critical COVID-19: a Kenyan retrospective cohort analysis |
title | Microbial coinfections and superinfections in critical COVID-19: a Kenyan retrospective cohort analysis |
title_full | Microbial coinfections and superinfections in critical COVID-19: a Kenyan retrospective cohort analysis |
title_fullStr | Microbial coinfections and superinfections in critical COVID-19: a Kenyan retrospective cohort analysis |
title_full_unstemmed | Microbial coinfections and superinfections in critical COVID-19: a Kenyan retrospective cohort analysis |
title_short | Microbial coinfections and superinfections in critical COVID-19: a Kenyan retrospective cohort analysis |
title_sort | microbial coinfections and superinfections in critical covid-19: a kenyan retrospective cohort analysis |
topic | Coronavirus (COVID-19) Collection |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489262/ https://www.ncbi.nlm.nih.gov/pubmed/35721772 http://dx.doi.org/10.1016/j.ijregi.2021.09.008 |
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