Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rakiro, Joe, Shah, Jasmit, Waweru-Siika, Wangari, Wanyoike, Ivy, Riunga, Felix
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
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
_version_ 1784578317301579776
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
work_keys_str_mv AT rakirojoe microbialcoinfectionsandsuperinfectionsincriticalcovid19akenyanretrospectivecohortanalysis
AT shahjasmit microbialcoinfectionsandsuperinfectionsincriticalcovid19akenyanretrospectivecohortanalysis
AT wawerusiikawangari microbialcoinfectionsandsuperinfectionsincriticalcovid19akenyanretrospectivecohortanalysis
AT wanyoikeivy microbialcoinfectionsandsuperinfectionsincriticalcovid19akenyanretrospectivecohortanalysis
AT riungafelix microbialcoinfectionsandsuperinfectionsincriticalcovid19akenyanretrospectivecohortanalysis