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Risk factors for long-term mortality in patients admitted with severe infection

Overview of attention for article published in BMC Infectious Diseases, April 2018
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Title
Risk factors for long-term mortality in patients admitted with severe infection
Published in
BMC Infectious Diseases, April 2018
DOI 10.1186/s12879-018-3054-4
Pubmed ID
Authors

J. Francisco, I. Aragão, T. Cardoso

Abstract

Severe infection is a main cause of mortality. We aim to describe risk factors for long-term mortality among inpatients with severe infection. Prospective cohort study in a 600-bed university hospital in Portugal including all patients with severe infection admitted into intensive care, medical, surgical, hematology and nephrology wards over one-year period. The outcome of interest was 5-year mortality following infection. Variables of patient background and infectious episode were studied in association with the main outcome through multiple logistic regression. There were 1013 patients included in the study. Hospital and 5-year mortality rates were 14 and 37%, respectively. Two different models were developed (with and without acute-illness severity scores) and factors independently associated with 5-year mortality were [adjusted odds ratio (95% confidence interval)]: age = 1.03 per year (1.02-1.04), cancer = 4.36 (1.65-11.53), no comorbidities = 0.4 (0.26-0.62), Karnovsky Index < 70 = 2.25 (1.48-3.40), SAPS (Simplified Acute Physiology Score) II = 1.05 per point (1.03-1.07), positive blood cultures = 1.57 (1.01-2.44) and infection by an ESKAPE pathogen (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeroginosa and Enterobacter species) = 1.61 (1.00- 2.60); and in the second model [without SAPS II and SOFA (Sequential Organ Failure Assessment) scores]: age = 1.04 per year (1.03-1.05), cancer = 5.93 (2.26-15.51), chronic haematologic disease = 2.37 (1.14-4.93), no comorbidities = 0.45 (0.29-0.69), Karnovsky Index< 70 = 2.32 (1.54- 3.50), septic shock [reference is infection without SIRS (Systemic Inflammatory Response Syndrome)] = 3.77 (1.80-7.89) and infection by an ESKAPE pathogen = 1.61 (1.00-2.60). Both models presented a good discrimination power with an AU-ROC curve (95% CI) of 0.81 (0.77-0.84) for model 1 and 0.80 (0.76-0.83) for model 2. If only patients that survived hospital admission are included in the model, variables retained are: age = 1.03 per year (1.02-1.05), cancer = 4.69 (1.71-12.83), chronic respiratory disease = 2.27 (1.09-4.69), diabetes mellitus = 1.65 (1.06-2.56), Karnovsky Index < 70 = 2.50 (1.63-3.83) and positive blood cultures = 1.66 (1.04-2.64) with an AU-ROC curve of 0.77 (0.73-0.81). Age, previous comorbidities, and functional status and infection by an ESKAPE pathogen were consistently associated with long-term prognosis. This information may help in the discussion of individual prognosis and clinical decision-making.

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X Demographics

The data shown below were collected from the profiles of 6 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 15%
Researcher 9 14%
Student > Master 9 14%
Other 6 9%
Student > Doctoral Student 4 6%
Other 9 14%
Unknown 18 28%
Readers by discipline Count As %
Medicine and Dentistry 26 40%
Engineering 4 6%
Nursing and Health Professions 4 6%
Agricultural and Biological Sciences 3 5%
Immunology and Microbiology 2 3%
Other 6 9%
Unknown 20 31%
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 12 April 2018.
All research outputs
#13,591,489
of 23,041,514 outputs
Outputs from BMC Infectious Diseases
#3,410
of 7,728 outputs
Outputs of similar age
#170,644
of 329,678 outputs
Outputs of similar age from BMC Infectious Diseases
#51
of 139 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,728 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 329,678 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.