Multidrug-resistant infection in COVID-19 patients: A meta-analysis

Hu, Siqi; You, Yi; Zhang, Shenghui; Tang, Jiake; Chen, Chen; Wenwen,; Wang, Chunyi; Cheng, Yongran; Zhou, Mengyun; Feng, Zhanhui; Tan, Tao; Qi, Guanming; Wang, Ming Wei; Liu, Xiaoyan

doi:10.1016/j.jinf.2022.10.043

Cited by 9 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, reports demonstrate that COVID-19 patients are at greater risk of developing an MDR hospital-acquired infection due to their prolonged hospitalization, the increased rate of admissions to ICUs, and the need for mechanical ventilation [47,48]. Our data demonstrate that the significant increase in MDR pathogens in male patients (mainly in urine, blood, rectal, and pharyngeal specimens) observed in 2021-2023 when compared to 2018-2020 was caused mainly by admissions of patients with COVID-19 disease.…”

Section: Discussionmentioning

confidence: 99%

Surveillance of Antimicrobial Resistance and Multidrug Resistance Prevalence of Clinical Isolates in a Regional Hospital in Northern Greece

Tsalidou,

Stergiopoulou,

Bostanitis

et al. 2023

Antibiotics

View full text Add to dashboard Cite

Antimicrobial resistance is a global health threat resulting in increased morbidity and mortality. This retrospective study aimed to estimate antimicrobial susceptibility and multidrug resistance prevalence of clinical isolates in a regional hospital in Northern Greece during the last 6 years by analyzing the annual reports of the Laboratory of Microbiology. A total of 12,274 strains of certain bacteria were isolated from both hospitalized and ambulatory patients from biological products, mainly urine (range 63–78% during the study period). E. coli was the most frequent pathogen found (37.4%). A significant increase in the number of the main pathogens causing hospital-acquired infections (Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, Enterococcus faecium) was found in the time period of 2021–2023 compared to 2018–2020 (p < 0.0001). In total, 1767 multidrug-resistant bacterial strains were isolated, most of them belonging to Acinetobacter baumannii (36.4%) and Klebsiella pneumoniae (39.6%), and were located in the intensive care unit (ICU) (59.8%). Extensively drug resistance (XDR) and pan drug resistance (PDR) were significantly higher in 2021–2023 than in 2018–2020 (XDR: 641/1087 in 2021–2023 vs. 374/680 in 2018–2020 and PDR: 134/1087 in 2021–2023 vs. 25/680 in 2018–2020, p < 0.0001), resulting in an urgent need to establish certain strategies in order to eliminate this threatening condition.

show abstract

Section: Discussionmentioning

confidence: 99%

Surveillance of Antimicrobial Resistance and Multidrug Resistance Prevalence of Clinical Isolates in a Regional Hospital in Northern Greece

Tsalidou,

Stergiopoulou,

Bostanitis

et al. 2023

Antibiotics

View full text Add to dashboard Cite

show abstract

“…Several studies have investigated the burden of AMR among COVID-19 patients (see reviews in [ 10 , 11 , 12 , 13 , 14 , 15 ]), but most presented important methodological limitations. These include a limited sample size, a retrospective and/or monocentric design, the inclusion of both ICU and non-ICU patients, the absence of a control group of non-COVID-19 patients, and the failure to use appropriate statistical methods to account for important confounding factors.…”

Section: Introductionmentioning

confidence: 99%

ICU-Acquired Colonization and Infection Related to Multidrug-Resistant Bacteria in COVID-19 Patients: A Narrative Review

Gaudet,

Kreitmann,

Nseir

2023

Antibiotics

View full text Add to dashboard Cite

A large proportion of ICU-acquired infections are related to multidrug-resistant bacteria (MDR). Infections caused by these bacteria are associated with increased mortality, and prolonged duration of mechanical ventilation and ICU stay. The aim of this narrative review is to report on the association between COVID-19 and ICU-acquired colonization or infection related to MDR bacteria. Although a huge amount of literature is available on COVID-19 and MDR bacteria, only a few clinical trials have properly evaluated the association between them using a non-COVID-19 control group and accurate design and statistical methods. The results of these studies suggest that COVID-19 patients are at a similar risk of ICU-acquired MDR colonization compared to non-COVID-19 controls. However, a higher risk of ICU-acquired infection related to MDR bacteria has been reported in several studies, mainly ventilator-associated pneumonia and bloodstream infection. Several potential explanations could be provided for the high incidence of ICU-acquired infections related to MDR. Immunomodulatory treatments, such as corticosteroids, JAK2 inhibitors, and IL-6 receptor antagonist, might play a role in the pathogenesis of these infections. Additionally, a longer stay in the ICU was reported in COVID-19 patients, resulting in higher exposure to well-known risk factors for ICU-acquired MDR infections, such as invasive procedures and antimicrobial treatment. Another possible explanation is the surge during successive COVID-19 waves, with excessive workload and low compliance with preventive measures. Further studies should evaluate the evolution of the incidence of ICU-acquired infections related to MDR bacteria, given the change in COVID-19 patient profiles. A better understanding of the immune status of critically ill COVID-19 patients is required to move to personalized treatment and reduce the risk of ICU-acquired infections. The role of specific preventive measures, such as targeted immunomodulation, should be investigated.

show abstract

“…In addition, the short detection time enables decisionmaking within 15-20 minutes 3 . Throughout the COVID-19 pandemic, numerous studies have arisen focusing on the use of medical imaging, such as chest x-rays, for disease diagnosis and the analysis of multidrug-resistant bacteria [4][5][6] , however, in this paper we focus more on the social security issues raised by SARS-CoV-2. Therefore, the use of RDT for rapid detection of the viral genome of patients in the region can be useful for early triage and rapid management.…”

Section: Introductionmentioning

confidence: 99%

RDT-FSDet: Few-shot Object Detection for Rapid Antigen Test

Duan,

Wang,

Tan

et al. 2023

Interdisciplinary Nursing Research

Self Cite

View full text Add to dashboard Cite

Objective: Manual verification of rapid diagnostic test (RDT) results is a time-consuming task; therefore, it is essential to introduce an object detection model into RDT result recognition to reduce the time involved. To address these problems, a detector that can rapidly adapt to different RDT results in various regions is important. Methods: We employed the few-shot object detection strategy and trained the Faster R-CNN detector with the mainland data set as the base class, followed by fine-tuning with the few-shot approach on the Macau RDT result data set. Moreover, we introduced 2 novel data augmentation methods, namely the “light simulation mask method” and “synthetic positive samples” for an unbalanced data set, to increase the sample size and balance the data set of the RDT detection task. Result: Compared with LightR-YOLOv5, RDT-few-shot detector (FSDet) achieved an mean average precision of 91.18 and a recall of 93.59 on the Macau RDT data set, demonstrating that this model can rapidly adapt to RDT results in different regions. The inference time of RDT-FSDet for each RDT result was 0.14 seconds, which can save ~90% of the detection time compared with manual screening. Conclusion: In addition to its application in the context of the coronavirus disease 2019 pandemic, this model can also be used as a general small-sample detection model. RDT-FSDet can be applied to the detection tasks of other small data sets, such as managing and analyzing detection results in other or future epidemics.

show abstract

Multidrug-resistant infection in COVID-19 patients: A meta-analysis

Cited by 9 publications

References 11 publications

Surveillance of Antimicrobial Resistance and Multidrug Resistance Prevalence of Clinical Isolates in a Regional Hospital in Northern Greece

Surveillance of Antimicrobial Resistance and Multidrug Resistance Prevalence of Clinical Isolates in a Regional Hospital in Northern Greece

ICU-Acquired Colonization and Infection Related to Multidrug-Resistant Bacteria in COVID-19 Patients: A Narrative Review

RDT-FSDet: Few-shot Object Detection for Rapid Antigen Test

Contact Info

Product

Resources

About