Healthcare associated bloodstream infections in Polish hospitals: prevalence, epidemiology and microbiology—summary data from the ECDC Point Prevalence Survey of Healthcare Associated Infections 2012–2015

2017 ◽  
Vol 37 (3) ◽  
pp. 565-570 ◽  
Author(s):  
Aleksander Deptuła ◽  
Ewa Trejnowska ◽  
Grzegorz Dubiel ◽  
Monika Wanke-Rytt ◽  
Maria Deptuła ◽  
...  
Keyword(s):  
Bloodstream Infections ◽  
Point Prevalence ◽  
Healthcare Associated Infections ◽  
Prevalence Survey ◽  
Point Prevalence Survey ◽  
Healthcare Associated ◽  
Summary Data

Burden of healthcare-associated infections at six tertiary-care hospitals in Saudi Arabia: A point prevalence survey

2019 ◽  
Vol 40 (3) ◽  
pp. 355-357 ◽  
Author(s):  
Majid M. Alshamrani ◽  
Aiman El-Saed ◽  
Asim Alsaedi ◽  
Ayman El Gammal ◽  
Wafa Al Nasser ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Tertiary Care ◽  
Bloodstream Infections ◽  
Point Prevalence ◽  
Healthcare Associated Infections ◽  
Prevalence Survey ◽  
Point Prevalence Survey ◽  
Tract Infections ◽  
Healthcare Associated ◽  
Tertiary Care Hospitals

AbstractA point prevalence survey was conducted on May 11, 2017, among inpatients at 6 hospitals in Saudi Arabia. The overall point prevalence was 6.8% (114 of 1,666). The most common types of infections were pneumonia (27.2%), urinary tract infections (20.2%), and bloodstream infections (10.5%). Approximately 19.2% of healthcare-associated infections were device associated.

scholarly journals A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital

2020 ◽  
Vol 17 (21) ◽  
pp. 7724
Author(s):  
Andrea Gentili ◽  
Marcello Di Pumpo ◽  
Daniele Ignazio La Milia ◽  
Doriana Vallone ◽  
Gino Vangi ◽  
...  
Keyword(s):  
Acute Care Hospital ◽  
Bloodstream Infections ◽  
Surgical Site Infections ◽  
Point Prevalence ◽  
Healthcare Associated Infections ◽  
Care Hospital ◽  
Prevalence Survey ◽  
Point Prevalence Survey ◽  
Tract Infections ◽  
Healthcare Associated

Healthcare-associated infections (HAI) represent one of the most common cause of infection and an important burden of disease. The aim of this study was to analyze the results of a six-year HAI point prevalence survey carried out yearly in a teaching acute care hospital from 2013 to 2018, following the European Center for Disease Prevention and Control (ECDC) guidelines. Surgical site infections, urinary tract infections, bloodstream infections, pneumonia, meningitis, and Clostridium difficile infections were considered as risk factors. A total of 328 patients with HAI were detected during the 6-year survey, with an average point prevalence of 5.24% (95% CI: 4.70–5.83%). Respiratory tract infections were the most common, followed by surgical site infections, urinary tract infections, primary bloodstream infections, Clostridium difficile infections, and central nervous system infections. A regression model showed length of stay at the moment of HAI detection, urinary catheter, central venous catheter, and antibiotic therapy to be the most important predictors of HAI prevalence, yielding a significant adjusted coefficient of determination (adjusted R2) of 0.2780. This will provide future infection control programs with specific HAI to focus on in order to introduce a proper prophylaxis and to limit exposure whenever possible.

scholarly journals A six-years point prevalence survey of healthcare-associated infections in an Italian hospital

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Gentili ◽  
D I La Milia ◽  
D Vallone ◽  
M Di Pumpo ◽  
G Vangi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Length Of Stay ◽  
Acute Care Hospital ◽  
Point Prevalence ◽  
Healthcare Associated Infections ◽  
Care Hospital ◽  
Prevalence Survey ◽  
Point Prevalence Survey ◽  
The Moment ◽  
Healthcare Associated

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.

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