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Determination of Risk Factors for Recurrent Methicillin-Resistant Staphylococcus aureus Bacteremia in a Veterans Affairs Healthcare System Population

Overview of attention for article published in Infection control and hospital epidemiology (Online), February 2015
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
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Article details
Title
Determination of Risk Factors for Recurrent Methicillin-Resistant Staphylococcus aureus Bacteremia in a Veterans Affairs Healthcare System Population
Published in
Infection control and hospital epidemiology (Online), February 2015
DOI 10.1017/ice.2015.25
Pubmed ID
Authors
Abstract

OBJECTIVE To identify important risk factors for recurrent methicillin-resistant Staphylococcus aureus (MRSA) to assist clinicians in identifying high-risk patients for continued surveillance and follow-up. METHODS In this retrospective cohort study, we examined patients with MRSA bacteremia at 122 Veterans Affairs medical facilities from January 1, 2003, through December 31, 2010. Recurrent MRSA bacteremia was identified by a positive blood culture result from 2 to 180 days after index hospitalization discharge. Subset analyses were performed to evaluate risk factors for early-onset (2-60 days after discharge) and late-onset (61-180 days after discharge) recurrence. Risk factors were evaluated using Cox proportional hazards regression. RESULTS Of 18,425 patients, 1,159 (6.3%) had recurrent MRSA bacteremia. The median time to recurrence was 63 days. Longer duration of index bacteremia, increased severity of illness, receipt of only vancomycin, community-acquired infection, and several comorbidities were risk factors for recurrence. Congestive heart failure, hypertension, and rheumatoid arthritis/collagen disease were risk factors for early-onset but not late-onset recurrence. Geographic region and cardiac arrhythmias were risk factors for late-onset but not early-onset recurrence. CONCLUSIONS Risk factors for recurrent MRSA bacteremia included comorbidities, severity of illness, duration of bacteremia, and receipt of only vancomycin. Awareness of risk factors may be important at patient discharge for implementation of quality improvement initiatives including surveillance, follow-up, and education for high-risk patients. Infect Control Hosp Epidemiol 2015;00(0): 1-7.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 11 21%
Researcher 8 15%
Other 5 10%
Student > Bachelor 5 10%
Student > Ph. D. Student 5 10%
Other 5 10%
Unknown 13 25%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 20 38%
Agricultural and Biological Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Nursing and Health Professions 2 4%
Computer Science 2 4%
Other 6 12%
Unknown 17 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 May 2024.
All research outputs
#11,535,088
of 34,526,284 outputs
Outputs from Infection control and hospital epidemiology (Online)
#3,474
of 6,192 outputs
Outputs of similar age
#104,946
of 298,699 outputs
Outputs of similar age from Infection control and hospital epidemiology (Online)
#1,202
of 2,042 outputs
Altmetric has tracked 34,526,284 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 6,192 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 42nd percentile – i.e., 42% 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 298,699 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 2,042 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.