scholarly journals Healthcare-associated infections (HAIs) in patients with urinary catheter hospitalized in urology: Analysis of risk factors, microbiological characteristics and the efficacy of preventive measures

2020 ◽  
Vol 19 ◽  
pp. e1503
Author(s):  
J. Medina-Polo ◽  
D.A. González-Padilla ◽  
E. García-Rojo ◽  
A. González-Díaz ◽  
P. Abad-López ◽  
...  
2020 ◽  
Vol 77 (10) ◽  
pp. 1060-1066
Author(s):  
Stefan Vidakovic ◽  
Ranko Raicevic ◽  
Marija Grunauer ◽  
Viktor Pasovski ◽  
Vesna Suljagic

Background/Aim. Patients in a neurologic intensive care unit (ICU) are especially susceptible to healthcare-associated infections (HAIs). HAIs are cause of significant morbidity and mortality. Aim of this study was to assess the incidence of HAIs, to identify significant risk factors (RFs) and causative microorganisms for HAIs and to identify RFs for inhospital mortality in a neurological ICU. Methods. A prospective cohort study was conducted in the six-bed ICU of the Clinic for Neurology, Military Medical Academy in Belgrade from January 1, 2014 to December 31, 2016. Active surveillance on HAIs was performed by the hospital infection control team, using methodologies of the European Centre for Disease Prevention and Control and the National Healthcare Safety Network/Centres for Disease Prevention and Control. Results. One hundred forty eight patients with a total of 2,708 patient-days were enrolled. There were 49 HAIs in 39 patients during the study period. The incidence and incidence density of HAIs were 26.3% and 18.1 per 1000 patient-days, respectively. The most frequent HAIs were urinary tract infections (15.5%), pneumonia (10.1%) and bloodstream infections (4%). RFs independently associated with HAIs in the neurological ICU were: urinary catheter [risk ratio (RR): 5.6; 95% confidence interval (CI): 1.153?27.632], urinary catheter-days (RR: 1.1; 95% CI: 1.057?1.188), central-line days (RR: 1.1; 95% CI: 1.010? 1.150), and mechanical ventilation (RR: 0.3; 95% CI: 0.079? 0.859). The most common microorganism was Klebsiella spp. RFs independently associated with in-hospital mortality in the neurological ICU were: mechanical ventilation (RR: 6.5; 95% CI: 2.868?14.116), Glasgow Coma Score (RR: 2.7; 95% CI: 1.135?6,396), and age (RR: 1.03; 95% CI: 1.005? 1.055). Conclusion. Usage of invasive procedures during ICU hospitalization carries significant risk for development of HAIs. HAIs in ICU setting are most often caused by Gram-negative bacteria with substantial antimicrobial resistance. These results stress the importance of infection prevention.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
H Hannachi ◽  
A Ben Cheikh ◽  
S Bhiri ◽  
H Ghali ◽  
S Khefacha ◽  
...  

Abstract Introduction Healthcare -associated infections has become a worldwide public health problem. The aim of this study was to estimate the incidence of healthcare- associated infections in a university hospital of Tunisia. Methods This was a cohort study conducted in six intensive care units in a university hospital of Tunisia during three months (from august to October 2018). Data was provided from patients’ files. Data entry and analysis was done using SPSS version 22. Multivariate analysis was used in order to identify independent risk factors for healthcare associated infection. Results A total of 202 patients were enrolled in this study. The incidence rate of healthcare-associated infections was 53,96%(109/202). The ratio infection/infected was estimated to 1.65(109/66). The incidence of multi-drug resistant pathogens was 21,28% (43/202). The most common resistant pathogens included pseudomonas aeruginosa resistant to cefdazidime in 13,76%(15/109) followed by those resistant to extended spectrum cephalosporin 11.92% (13/109), followed by carbapenem-resistant acinetobcater baumanii 6,42%(7/109) then by carbapenem resistant pathogens and enterococcus resistant to vancomycin 2.75%(3/109) and finally staphylococcus aureus resistant to methicillin 2.1%(2/1.83). The multivariate analysis showed that long duration of central line catheterisation (RR = 7.44; 95%CI[2.79-19.82]), tracheotomy(RR = 8.61;95%CI[2.09-35,39]) and length of stay (RR = 1.08; 95%CI[1.04-1.13]) were found as independent risk factors for healthcare -associated infection. Conclusions The emergence of mutli-drug resistant pathogens needs to be deeply studied and effective measures have to be taken in order to detect and prevent transmission of resistant strains and/or their resistance determinants, especially those with phenotypes having the fewest viable treatment options. Key messages The incidence of healthcare associated infection in the intensive care unit was high. Effective measures have to be taken in the intensive care unit to detect and prevent transmission of resistant pathogens.


2015 ◽  
Vol 144 (1) ◽  
pp. 198-206 ◽  
Author(s):  
R.-F. WANG ◽  
S.-H. SHEN ◽  
A. M.-F. YEN ◽  
T.-L. WANG ◽  
T.-N. JANG ◽  
...  

SUMMARYInformation is lacking on the integrated evaluation of mortality rates in healthcare-associated infections (HAIs). Our aim was to differentiate the risk factors responsible for the incidence from those for the case-fatality rates in association with HAIs. We therefore examined the time trends of both incidence and case-fatality rates over a 20-year period at a tertiary-care teaching medical centre in Taiwan and the mortality rate was expressed as the product of the incidence rate and the case-fatality rate. During the study period the overall mortality rate fell from 0·46 to 0·32 deaths/1000 patient-days and the incidence rate fell from 3·41 to 2·31/1000 patient-days, but the case-fatality rate increased marginally from 13·5% to 14·0%. The independent risk factors associated with incidence of HAIs were age, gender, infection site, admission type, and department of hospitalization. Significant prognostic factors for HAI case-fatality were age, infection site, intensive care, and clinical department. We conclude that the decreasing trend for the HAI mortality rate was accompanied by a significant decline in the incidence rate and this was offset by a slightly increasing trend in the case-fatality rate. This deconstruction approach could provide further insights into the underlying complex causes of mortality for HAIs.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Gentili ◽  
D I La Milia ◽  
D Vallone ◽  
M Di Pumpo ◽  
G Vangi ◽  
...  

Abstract Healthcare-Associated Infections (HAIs) are among the most serious public health problems in Europe representing the most frequent adverse event during care delivery. Despite their limitations, point prevalence surveys of HAIs are often preferred to prospective surveillance, since they provide a feasible estimate when resources are limited. The aim of this study was to analyze the results of a six-years point prevalence survey of HAIs in a teaching acute care hospital in Italy and to investigate the main risk factors of HAIs in the acute-care hospital. A point prevalence survey to detect HAIs was carried out in Gemelli Hospital during the last 6 years, from 2013 to 2018. Inpatients of any age in Gemelli Hospital were eligible for inclusion. Patients in outpatient areas were excluded. HAIs were identified according to diagnosis guideline from ECDC in 2011. Statistically significant differences were tested through t-test and Chi-square test. Multi-variate analysis was performed to evaluate the impact of regressor factors for predict HAI’s prevalence. The statistical significance level was set at p < 0.05. The point prevalence ranged from 3,16% in 2017 to 6,64% in 2013. Pneumonia and surgical site infections (SSI) were the most frequent HAIs during the 6 years, with a rate of 27,31% and 26,20% respectively of all HAIs. The multiple logistic regression showed that length of stay at the moment of detection, urinary catheter, CVC and antibiotic therapy are useful to meaningfully predict HAI prevalence, with a regression coefficient (adjusted R2) of 0.2780. Thanks to proper hospital policies, the point prevalence of HAIs does not seem to increase through the years, even though it is still too early to draw any conclusions. Pneumonia and SSI represented each one more than a quarter of all the HAIs, as reported also in literature. There is a strong association between length of stay at the moment of detection and HAIs but it is hard to understand which one is the cause of the other. Key messages Point prevalence from 2013 to 2018 seems to be stable. An accurate incidence survey is needed in order to identify the main risk factors of HAI and to realize more specific hospital programmes. Length of stay at the moment of detection is useful to meaningfully predict HAIs prevalence although the cause-and-effect relationship is still not clear.


2018 ◽  
Vol 07 (04) ◽  
pp. 188-195
Author(s):  
John VanBuren ◽  
Richard Holubkov ◽  
Susan Bratton ◽  
Erin Bennett

AbstractThe present study evaluated the daily risk of healthcare-associated infections and sepsis (HAIS) events in pediatric intensive care unit patients with invasive devices. This was a retrospective cohort study. Invasive devices were associated with significant daily risk of HAIS (p < 0.05). Endotracheal tubes posed the greatest risk of HAIS (hazard ratio [HR]: 4.39, confidence interval [CI]: 2.59–7.46). Children with both a central venous catheter (CVC) and urinary catheter (UC) had over 2.5-fold increased daily risk (HR: 2.59, CI: 1.18–5.68), in addition to daily CVC risk (HR: 3.06, CI: 1.38–6.77) and daily UC risk (HR: 8.9, CI: 3.62–21.91). We conclude that a multistate hazard model optimally predicts daily HAIS risk.


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