scholarly journals Two original observations concerning bacterial infections in COVID-19 patients hospitalized in intensive care units during the first wave of the epidemic in France

Author(s):  
Camille d’Humières ◽  
Juliette Patrier ◽  
Brice Lortat-Jacob ◽  
Alexy Tran-dinh ◽  
Lotfi Chemali ◽  
...  

AbstractAmong 197 COVID-19 patients hospitalized in ICU, 88 (44.7%) experienced at least one bacterial infection, with pneumonia (39.1%) and bloodstream infections (15,7%) being the most frequent. Unusual findings include frequent suspicion of bacterial translocations originating from the digestive tract as well as bacterial persistence in the lungs despite adequate therapy.

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250728
Author(s):  
Camille d’Humières ◽  
Juliette Patrier ◽  
Brice Lortat-Jacob ◽  
Alexy Tran-dinh ◽  
Lotfi Chemali ◽  
...  

Among 197 COVID-19 patients hospitalized in ICU, 88 (44.7%) experienced at least one bacterial infection, with pneumonia (39.1%) and bloodstream infections (15,7%) being the most frequent. Unusual findings include frequent suspicion of bacterial translocations originating from the digestive tract as well as bacterial persistence in the lungs despite adequate therapy.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Neda Izadi ◽  
Babak Eshrati ◽  
Yadollah Mehrabi ◽  
Korosh Etemad ◽  
Seyed-Saeed Hashemi-Nazari

Abstract Background Hospital-acquired infections (HAIs) in intensive care units (ICUs) are among the avoidable morbidity and mortality causes. This study aimed at investigating the rate of ICU-acquired infections (ICU-AIs) in Iran. Methods For the purpose of this multi-center study, the rate of ICU-AIs calculated based on the data collected through Iranian nosocomial infections surveillance system and hospital information system. The data expanded based on 12 months of the year (13,632 records in terms of “hospital-ward-month”), and then, the last observation carried forward method was used to replace the missing data. Results The mean (standard deviation) age of 52,276 patients with HAIs in the ICUs was 47.37 (30.78) years. The overall rate of ICU-AIs was 96.61 per 1000 patients and 16.82 per 1000 patient-days in Iran’s hospitals. The three main HAIs in the general ICUs were ventilator-associated events (VAE), urinary tract infection (UTI), and pneumonia events & lower respiratory tract infection (PNEU & LRI) infections. The three main HAIs in the internal and surgical ICUs were VAE, UTI, and bloodstream infections/surgical site infections (BSI/SSI). The most prevalent HAIs were BSI, PNEU & LRI and eye, ear, nose, throat, or mouth (EENT) infections in the neonatal ICU and PNEU & LRI, VAE, and BSI in the PICU. Device, catheter, and ventilator-associated infections accounted for 60.96, 18.56, and 39.83% of ICU-AIs, respectively. The ventilator-associated infection rate was 26.29 per 1000 ventilator-days. Based on the Pabon Lasso model, the lowest rates of ICU-AIs (66.95 per 1000 patients and 15.19 patient-days) observed in zone III, the efficient area. Conclusions HAIs are common in the internal ICU wards. In fact, VAE and ventilator-related infections are more prevalent in Iran. HAIs in the ICUs leads to an increased risk of ICU-related mortality. Therefore, to reduce ICU-AIs, the specific and trained personnel must be responsible for the use of the devices (catheter use and ventilators), avoid over use of catheterization when possible, and remove catheters earlier.


2009 ◽  
Vol 30 (7) ◽  
pp. 659-665 ◽  
Author(s):  
Simone Lanini ◽  
William R. Jarvis ◽  
Emanuele Nicastri ◽  
Gaetano Privitera ◽  
Giovanni Gesu ◽  
...  

Objective.Healthcare-associated infections (HAIs) are an important cause of morbidity and mortality worldwide. During the period from 2002 through 2004, a group of Italian hospitals was recruited to conduct HAI point-prevalence surveys.Design.Three point-prevalence surveys.Methods.A total of 9,609 patients were surveyed.Results.The overall frequency of HAI was 6.7% (645 infections among the 9,609 surveyed patients). The most frequent HAIs were lower respiratory tract infections, which accounted for 35.8% (231 of 645 HAIs) of all HAIs, followed by urinary tract infections (152 [23.6%] of 645 HAIs), bloodstream infections (90 [14.0%] of 645 HAIs), and surgical site infections (79 [12.2%] of 645 HAIs). In both multivariate and univariate analysis, invasive procedures, duration of stay, chemotherapy, trauma, coma, and the location of the hospital were all factors statistically significantly associated with the occurrence of an HAL Enterobacteriaceae were the most common isolates recovered in medical and surgical wards, whereas gram-negative aerobic bacilli were the most common isolates recovered in intensive care units. Approximately one-half of all of the patients surveyed were receiving antibiotics at the time of our study; the most used antibiotic classes were fluoroquinolones in medical wards, cephalosporins in surgical wards, and penicillins and glycopeptides in intensive care units.Conclusion.Our study emphasizes the need for implementing further HAI surveillance to provide the National Health System with proper tools to prevent and manage infection in hospitalized patients.


2018 ◽  
Vol 57 (6) ◽  
pp. 668-674 ◽  
Author(s):  
Ferhat Arslan ◽  
Hulya Caskurlu ◽  
Sema Sarı ◽  
Hayriye Cankar Dal ◽  
Sema Turan ◽  
...  

Abstract Candida bloodstream infections are associated with high mortality among critically ill patients in intensive care units (ICUs). Studies that explore the risk factors for candidemia may support better patient care in intensive care units. We conducted a retrospective, multicenter case-control study to investigate the risk factors for noncatheter-related Candida bloodstream infections (CBSI) in adult ICUs. Participants selected controls randomly on a 1:1 basis among all noncase patients stayed during the same period in ICUs. Data on 139 cases and 140 controls were deemed eligible. Among the controls, 69 patients died. The stratified Fine-Gray model was used to estimate the subdistribution Hazard ratios. The subdistribution hazards and 95% confidence intervals for final covariates were as follows: prior exposure to antimycotic agents, 2.21 (1.56–3.14); prior exposure to N-acetylcysteine, 0.11 (0.03–0.34) and prior surgical intervention, 1.26 (0.76–2.11). Of the patients, those exposed to antimycotic drugs, 87.1% (54/62) had breakthrough candidemia. Serious renal, hepatic, or hematologic side effects were comparable between patients those exposed and not-exposed to systemic antimycotic drugs. Untargeted administration of antimycotic drugs did not improve survival among candidemic patients (not-exposed, 63.6% [49/77]; exposed % 66.1 [41/62]; P = .899). This study documented that exposure to an antifungal agent is associated with increased the risk of subsequent development of CBSIs among nonneutropenic adult patients admitted to the ICU. Only two centers regularly prescribed N-acetylcysteine. Due to the limited number of subjects, we interpreted the positive effect of N-acetylcysteine on the absolute risk of CBSIs with caution.


2018 ◽  
Vol 9 (1) ◽  
pp. 36-43 ◽  
Author(s):  
Kevin J Downes ◽  
Julie C Fitzgerald ◽  
Emily Schriver ◽  
Craig L K Boge ◽  
Michael E Russo ◽  
...  

Abstract Background Biomarkers can facilitate safe antibiotic discontinuation in critically ill patients without bacterial infection. Methods We tested the ability of a biomarker-based algorithm to reduce excess antibiotic administration in patients with systemic inflammatory response syndrome (SIRS) without bacterial infections (uninfected) in our pediatric intensive care unit (PICU). The algorithm suggested that PICU clinicians stop antibiotics if (1) C-reactive protein <4 mg/dL and procalcitonin <1 ng/mL at SIRS onset and (2) no evidence of bacterial infection by exam/testing by 48 hours. We evaluated excess broad-spectrum antibiotic use, defined as administration on days 3–9 after SIRS onset in uninfected children. Incidence rate ratios (IRRs) compared unadjusted excess length of therapy (LOT) in the 34 months before (Period 1) and 12 months after (Period 2) implementation of this algorithm, stratified by biomarker values. Segmented linear regression evaluated excess LOT among all uninfected episodes over time and between the periods. Results We identified 457 eligible SIRS episodes without bacterial infection, 333 in Period 1 and 124 in Period 2. When both biomarkers were below the algorithm’s cut-points (n = 48 Period 1, n = 31 Period 2), unadjusted excess LOT was lower in Period 2 (IRR, 0.53; 95% confidence interval, 0.30–0.93). Among all 457 uninfected episodes, there were no significant differences in LOT (coefficient 0.9, P = .99) between the periods on segmented regression. Conclusions Implementation of a biomarker-based algorithm did not decrease overall antibiotic exposure among all uninfected patients in our PICU, although exposures were reduced in the subset of SIRS episodes where biomarkers were low.


2020 ◽  
Vol 7 (6) ◽  
Author(s):  
Yiqi Fu ◽  
Qing Yang ◽  
Min Xu ◽  
Haishen Kong ◽  
Hongchao Chen ◽  
...  

Secondary bacterial infections occurred in 13.9% (5 of 36) of critical ill patients with coronavirus disease 2019. All 5 patients had been admitted to intensive care unit and received mechanical ventilation before developing bacterial infection. Active surveillance of culture should be performed for critically ill patients. Prevention of nosocomial infection should to be taken seriously.


2010 ◽  
Vol 31 (05) ◽  
pp. 551-553 ◽  
Author(s):  
Emily K. Shuman ◽  
Laraine L. Washer ◽  
Jennifer L. Arndt ◽  
Christy A. Zalewski ◽  
Robert C. Hyzy ◽  
...  

Central line-associated bloodstream infections (CLABSIs) have been reduced in number but not eliminated in our intensive care units with use of central line bundles. We performed an analysis of remaining CLABSIs. Many bloodstream infections that met the definition of CLABSI had sources other than central lines or represented contaminated blood samples.


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