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An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe

1. Background: Literature data on bacterial infections and their impact on the mortality rates of COVID-19 patients from Romania are scarce, while worldwide reports are contrasting. 2. Materials and Methods: We conducted a unicentric retrospective observational study that included 280 patients with...

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Autores principales: Timpau, Amalia-Stefana, Miftode, Radu-Stefan, Costache, Irina-Iuliana, Petris, Antoniu Octavian, Miftode, Ionela-Larisa, Gheorghe, Liliana, Timpau, Razvan, Miftode, Ioana Diandra, Prepeliuc, Cristian Sorin, Coman, Ioana, Anton-Paduraru, Dana-Teodora, Tuchilus, Cristina, Miftode, Egidia Gabriela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854454/
https://www.ncbi.nlm.nih.gov/pubmed/36671345
http://dx.doi.org/10.3390/antibiotics12010144
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author Timpau, Amalia-Stefana
Miftode, Radu-Stefan
Costache, Irina-Iuliana
Petris, Antoniu Octavian
Miftode, Ionela-Larisa
Gheorghe, Liliana
Timpau, Razvan
Miftode, Ioana Diandra
Prepeliuc, Cristian Sorin
Coman, Ioana
Anton-Paduraru, Dana-Teodora
Tuchilus, Cristina
Miftode, Egidia Gabriela
author_facet Timpau, Amalia-Stefana
Miftode, Radu-Stefan
Costache, Irina-Iuliana
Petris, Antoniu Octavian
Miftode, Ionela-Larisa
Gheorghe, Liliana
Timpau, Razvan
Miftode, Ioana Diandra
Prepeliuc, Cristian Sorin
Coman, Ioana
Anton-Paduraru, Dana-Teodora
Tuchilus, Cristina
Miftode, Egidia Gabriela
author_sort Timpau, Amalia-Stefana
collection PubMed
description 1. Background: Literature data on bacterial infections and their impact on the mortality rates of COVID-19 patients from Romania are scarce, while worldwide reports are contrasting. 2. Materials and Methods: We conducted a unicentric retrospective observational study that included 280 patients with SARS-CoV-2 infection, on whom we performed various microbiological determinations. Based on the administration or not of the antibiotic treatment, we divided the patients into two groups. First, we sought to investigate the rates and predictors of bacterial infections, the causative microbial strains, and the prescribed antibiotic treatment. Secondly, the study aimed to identify the risk factors associated with in-hospital death and evaluate the biomarkers’ performance for predicting short-term mortality. 3. Results: Bacterial co-infections or secondary infections were confirmed in 23 (8.2%) patients. Acinetobacter baumannii was the pathogen responsible for most of the confirmed bacterial infections. Almost three quarters of the patients (72.8%) received empiric antibiotic therapy. Multivariate logistic regression has shown leukocytosis and intensive care unit admission as risk factors for bacterial infections and C-reactive protein, together with the length of hospital stay, as mortality predictors. The ROC curves revealed an acceptable performance for the erythrocyte sedimentation rate (AUC: 0.781), and C-reactive protein (AUC: 0.797), but a poor performance for fibrinogen (AUC: 0.664) in predicting fatal events. 4. Conclusions: This study highlighted the somewhat paradoxical association of a low rate of confirmed infections with a high rate of empiric antibiotic therapy. A thorough assessment of the risk factors for bacterial infections, in addition to the acknowledgment of various mortality predictors, is crucial for identifying high-risk patients, thus allowing a timely therapeutic intervention, with a direct impact on improving patients’ prognosis.
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spelling pubmed-98544542023-01-21 An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe Timpau, Amalia-Stefana Miftode, Radu-Stefan Costache, Irina-Iuliana Petris, Antoniu Octavian Miftode, Ionela-Larisa Gheorghe, Liliana Timpau, Razvan Miftode, Ioana Diandra Prepeliuc, Cristian Sorin Coman, Ioana Anton-Paduraru, Dana-Teodora Tuchilus, Cristina Miftode, Egidia Gabriela Antibiotics (Basel) Article 1. Background: Literature data on bacterial infections and their impact on the mortality rates of COVID-19 patients from Romania are scarce, while worldwide reports are contrasting. 2. Materials and Methods: We conducted a unicentric retrospective observational study that included 280 patients with SARS-CoV-2 infection, on whom we performed various microbiological determinations. Based on the administration or not of the antibiotic treatment, we divided the patients into two groups. First, we sought to investigate the rates and predictors of bacterial infections, the causative microbial strains, and the prescribed antibiotic treatment. Secondly, the study aimed to identify the risk factors associated with in-hospital death and evaluate the biomarkers’ performance for predicting short-term mortality. 3. Results: Bacterial co-infections or secondary infections were confirmed in 23 (8.2%) patients. Acinetobacter baumannii was the pathogen responsible for most of the confirmed bacterial infections. Almost three quarters of the patients (72.8%) received empiric antibiotic therapy. Multivariate logistic regression has shown leukocytosis and intensive care unit admission as risk factors for bacterial infections and C-reactive protein, together with the length of hospital stay, as mortality predictors. The ROC curves revealed an acceptable performance for the erythrocyte sedimentation rate (AUC: 0.781), and C-reactive protein (AUC: 0.797), but a poor performance for fibrinogen (AUC: 0.664) in predicting fatal events. 4. Conclusions: This study highlighted the somewhat paradoxical association of a low rate of confirmed infections with a high rate of empiric antibiotic therapy. A thorough assessment of the risk factors for bacterial infections, in addition to the acknowledgment of various mortality predictors, is crucial for identifying high-risk patients, thus allowing a timely therapeutic intervention, with a direct impact on improving patients’ prognosis. MDPI 2023-01-11 /pmc/articles/PMC9854454/ /pubmed/36671345 http://dx.doi.org/10.3390/antibiotics12010144 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Timpau, Amalia-Stefana
Miftode, Radu-Stefan
Costache, Irina-Iuliana
Petris, Antoniu Octavian
Miftode, Ionela-Larisa
Gheorghe, Liliana
Timpau, Razvan
Miftode, Ioana Diandra
Prepeliuc, Cristian Sorin
Coman, Ioana
Anton-Paduraru, Dana-Teodora
Tuchilus, Cristina
Miftode, Egidia Gabriela
An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe
title An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe
title_full An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe
title_fullStr An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe
title_full_unstemmed An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe
title_short An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe
title_sort overview of the impact of bacterial infections and the associated mortality predictors in patients with covid-19 admitted to a tertiary center from eastern europe
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854454/
https://www.ncbi.nlm.nih.gov/pubmed/36671345
http://dx.doi.org/10.3390/antibiotics12010144
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