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Decreasing skeletal muscle as a risk factor for mortality in elderly patients with sepsis: a retrospective cohort study

Overview of attention for article published in Journal of Intensive Care, January 2017
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Title
Decreasing skeletal muscle as a risk factor for mortality in elderly patients with sepsis: a retrospective cohort study
Published in
Journal of Intensive Care, January 2017
DOI 10.1186/s40560-016-0205-9
Pubmed ID
Authors

Keita Shibahashi, Kazuhiro Sugiyama, Masahiro Kashiura, Yuichi Hamabe

Abstract

Older patients account for the majority of patients with sepsis. The objective of this study was to determine if decreased skeletal muscle mass is associated with outcomes in elderly patients with sepsis. Patients (60 years and older) who were admitted to a tertiary medical center intensive care unit with a primary diagnosis of sepsis between January 2012 and February 2016 were included. Patients who had not undergone abdominal computed tomography on the day of admission, had cardiopulmonary arrest on arrival, or had iliopsoas abscess were excluded from the analyses. Cross-sectional muscle area at the 3rd lumber vertebra was quantified, and the relation to in-hospital mortality was analyzed. Multivariable logistic regression analysis that included sex and APACHE II score as explanatory variables was performed. The optimal cutoff value to define decreased muscle mass (sarcopenia) was calculated using receiver operating characteristic curve analysis, and the odds ratio for in-hospital mortality was determined. There were 150 elderly patients with sepsis (median age, 75 years) enrolled; in-hospital mortality and median APACHE II score were 38.7 and 24%, respectively. The skeletal muscle area of deceased patients was significantly lower than that of the survival group (P < 0.001). The multivariable logistic regression analysis demonstrated that decreased muscle mass was significantly associated with increased mortality (odds ratio = 0.94, 95% confidence interval = 0.90 to 0.97, P < 0.001). The optimal cutoff value of skeletal muscle area to predict in-hospital mortality was 45.2 cm(2) for men and 39.0 cm(2) for women. With these cutoff values, the adjusted odds ratio for decreased muscle area was 3.27 (95% CI, 1.61 to 6.63, P = 0.001). Less skeletal muscle mass is associated with higher in-hospital mortality in elderly patients with sepsis. The results of this study suggest that identifying patients with low muscularity contributes to better stratification in this population.

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The data shown below were collected from the profiles of 2 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 13%
Other 8 12%
Student > Master 8 12%
Student > Doctoral Student 6 9%
Student > Bachelor 5 7%
Other 14 21%
Unknown 18 26%
Readers by discipline Count As %
Medicine and Dentistry 24 35%
Nursing and Health Professions 8 12%
Biochemistry, Genetics and Molecular Biology 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Engineering 2 3%
Other 8 12%
Unknown 22 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 January 2021.
All research outputs
#17,855,900
of 22,931,367 outputs
Outputs from Journal of Intensive Care
#417
of 516 outputs
Outputs of similar age
#294,759
of 421,976 outputs
Outputs of similar age from Journal of Intensive Care
#17
of 19 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 516 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 14th percentile – i.e., 14% 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 421,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.