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Surveillance of device associated infections and mortality in a major intensive care unit in the Republic of Cyprus

Overview of attention for article published in BMC Infectious Diseases, September 2017
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Title
Surveillance of device associated infections and mortality in a major intensive care unit in the Republic of Cyprus
Published in
BMC Infectious Diseases, September 2017
DOI 10.1186/s12879-017-2704-2
Pubmed ID
Authors

Stelios Iordanou, Nicos Middleton, Elizabeth Papathanassoglou, Vasilios Raftopoulos

Abstract

Device-associated health care-associated infections (DA-HAI) pose a threat to patient safety, particularly in the intensive care unit. The aim of this study was to assess the incidence of DA-HAIs, mortality and crude excess mortality at a General Hospital's Intensive Care Unit (ICU) in the Republic of Cyprus for 1 year period. A prospective cohort, active DA-HAIs surveillance study with the use of Health Acquired Infections (HAIs) ICU Protocol (v1.01 standard edition) as provided by ECDC/NHSN for the active DA-HAIs surveillance study was conducted. The study sample included 198 ICU patients admitted during the research period and hospitalized for over 48 h. The Ventilator-Associated Pneumonia (VAP), Central Line-Associated Bloodstream Infection (CLABSI), and Catheter-Associated Urinary Tract Infection (CAUTI) rates, length of stay (LOS), mortality, and crude excess mortality were calculated. CLABSI was the most frequent DA-HAI with 15.9 incidence rate per 1000 Central Venus Catheter (CVC) days. The VAP rate, was 10.1 per 1000 ventilator days and the CAUTI rate was 2.7 per 1000 urinary catheter days. Device associated infections were found to be significantly associated with the length of ICU stay (p < 0.001), the CVC days (p < 0.001), ventilator days (p < 0.001), and urinary catheter days (p < 0.001). The excess mortality was 22.1% for those who acquired a DA-HAI (95% CI, 2-42.2%) compared to the patients who remained DA-HAI free. Mortality of patients with VAP infection was 2.3 times higher (RR = 2.33 95% CI, 1.07-5.05) than those patients admitted without a HAI and subsequently did not acquire a DA-HAI. The most frequently isolated pathogen was Staphylococcus epidermidis (13.9%) and Candida albicans (13.9%). Higher DA-HAIs rates and device utilization than the international benchmarks were found in this study, calling into question the safety of preventative practices employed in this unit.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 9%
Student > Bachelor 9 8%
Lecturer 7 6%
Student > Ph. D. Student 7 6%
Unspecified 7 6%
Other 27 25%
Unknown 43 39%
Readers by discipline Count As %
Medicine and Dentistry 24 22%
Nursing and Health Professions 17 15%
Unspecified 7 6%
Biochemistry, Genetics and Molecular Biology 3 3%
Social Sciences 3 3%
Other 12 11%
Unknown 44 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 September 2017.
All research outputs
#14,954,297
of 23,001,641 outputs
Outputs from BMC Infectious Diseases
#4,138
of 7,719 outputs
Outputs of similar age
#187,062
of 315,600 outputs
Outputs of similar age from BMC Infectious Diseases
#86
of 162 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,719 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.