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Mortality estimates among adult patients with severe acute respiratory infections from two sentinel hospitals in southern Arizona, United States, 2010–2014

Overview of attention for article published in BMC Infectious Diseases, February 2018
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Title
Mortality estimates among adult patients with severe acute respiratory infections from two sentinel hospitals in southern Arizona, United States, 2010–2014
Published in
BMC Infectious Diseases, February 2018
DOI 10.1186/s12879-018-2984-1
Pubmed ID
Authors

Steve R. Barnes, Zimy Wansaula, Kristen Herrick, Eyal Oren, Kacey Ernst, Sonja J. Olsen, Mariana G. Casal

Abstract

From October 2010 through February 2016, Arizona conducted surveillance for severe acute respiratory infections (SARI) among adults hospitalized in the Arizona-Mexico border region. There are few accurate mortality estimates in SARI patients, particularly in adults ≥ 65 years old. The purpose of this study was to generate mortality estimates among SARI patients that include deaths occurring shortly after hospital discharge and identify risk factors for mortality. Patients admitted to two sentinel hospitals between 2010 and 2014 who met the SARI case definition were enrolled. Demographic data were used to link SARI patients to Arizona death certificates. Mortality within 30 days after the date of admission was calculated and risk factors were identified using logistic regression models. Among 258 SARI patients, 47% were females, 51% were white, non-Hispanic and 39% were Hispanic. The median age was 63 years (range, 19 to 97 years) and 80% had one or more pre-existing health condition; 9% died in hospital. Mortality increased to 12% (30/258, 30% increase) when electronic vital records and a 30-day post-hospitalization time frame were used. Being age ≥ 65 years (OR = 4.0; 95% CI: 1.6-9.9) and having an intensive care unit admission (OR = 7.4; 95% CI: 3.0-17.9) were independently associated with mortality. The use of electronic vital records increased SARI-associated mortality estimates by 30%. These findings may help guide prevention and treatment measures, particularly in high-risk persons in this highly fluid border population.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 16%
Professor 4 11%
Student > Bachelor 3 8%
Student > Doctoral Student 3 8%
Student > Master 3 8%
Other 6 16%
Unknown 12 32%
Readers by discipline Count As %
Medicine and Dentistry 9 24%
Social Sciences 3 8%
Nursing and Health Professions 2 5%
Economics, Econometrics and Finance 2 5%
Computer Science 2 5%
Other 4 11%
Unknown 15 41%
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 05 October 2020.
All research outputs
#15,789,481
of 24,067,703 outputs
Outputs from BMC Infectious Diseases
#4,356
of 8,053 outputs
Outputs of similar age
#266,626
of 452,021 outputs
Outputs of similar age from BMC Infectious Diseases
#69
of 141 outputs
Altmetric has tracked 24,067,703 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 8,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 452,021 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.