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LiFe: a liver injury score to predict outcome in critically ill patients

Overview of attention for article published in Intensive Care Medicine, March 2016
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Title
LiFe: a liver injury score to predict outcome in critically ill patients
Published in
Intensive Care Medicine, March 2016
DOI 10.1007/s00134-015-4203-5
Pubmed ID
Authors

Christin Edmark, Mark J. W. McPhail, Max Bell, Tony Whitehouse, Julia Wendon, Kenneth B. Christopher

Abstract

To develop a liver function-related risk prediction tool to identify acute-on-chronic liver failure patients at greatest risk of in-hospital mortality. The LiFe (liver, injury, failure, evaluation) score, was constructed based on the opinions of 157 intensivists within the European Society for Intensive Care Medicine. Experts were surveyed and instructed to weigh the diagnostic importance of each feature of a proposed prediction model. We performed a retrospective cohort study of 1916 patients with chronic liver disease admitted to a medical or surgical ICU between 1997, and 2011 in three large hospitals in Boston, USA, and London, UK, with arterial lactate, total bilirubin and INR drawn at ICU admission. The derivation cohort consisted of ICU patients from Brigham and Women's Hospital and Massachusetts General Hospital in Boston (n = 945), and the validation cohort comprised patients from Kings College Hospital, London, admitted to the Liver Intensive Therapy Unit (n = 971). A clinical prediction model was derived and validated based on a logistic regression model describing the risk of in-hospital mortality as a function of the predictors (arterial lactate 0-1.9, ≥2.0-3.9, ≥4.0-5.9, ≥6.0 mg/dL; total bilirubin 0-1.9, ≥2.0-3.9, ≥4.0-5.9, ≥6.0 mg/dL; INR 0-1.9, ≥2.0-3.9, ≥4.0-5.9, ≥6.0) at ICU admission. Performance analysis of the LiFe score against SOFA, CLIF-SOFA, APACHE II and SAPS II was completed in the validation cohort of critically ill cirrhotic patients. The derivation cohort (n = 941) was 53 % male with a mean age of 65 years and an in-hospital mortality rate of 30 %. The validation cohort (n = 971) was 63 % male with mean age of 51 years and an in-hospital mortality rate of 52 %. The C statistic for the prediction model was 0.74 (95 % CI 0.70-0.77) in the derivation cohort and 0.77 (95 % CI 0.74-0.80) in the validation cohort. In the validation cohort, in-hospital mortality was 17 % in the low-risk group (0 risk score points), 28 % in the intermediate-risk group (1-3 points), 47 % in the high-risk group (4-8 points), and 77 % in the very high-risk group (>8 points). In the validation cohort, the C statistics for SOFA, CLIF-SOFA, APACHE II, and SAPS II were 0.80, 0.81, 0.77, and 0.78, respectively. Further, a significant positive correlation exists between LiFe score and acute-on-chronic liver failure grade, (r = 0.478, P < 0.001). Our LiFe score calculated from arterial lactate, total bilirubin and INR at ICU admission is a simple, quick and easily understandable score that may increase clinical utility for risk prediction in ICU patients with acute-on-chronic liver failure. The LiFe score can be used in place of physiological based scores for early risk prediction in patients with chronic liver disease but is not intended to replace CLIF-SOFA as a benchmark for prognostication.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Denmark 1 2%
Unknown 54 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 23%
Student > Ph. D. Student 7 13%
Student > Master 6 11%
Student > Doctoral Student 6 11%
Other 5 9%
Other 15 27%
Unknown 4 7%
Readers by discipline Count As %
Medicine and Dentistry 39 70%
Nursing and Health Professions 3 5%
Social Sciences 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 3 5%
Unknown 7 13%
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 2016.
All research outputs
#17,759,434
of 22,842,950 outputs
Outputs from Intensive Care Medicine
#4,338
of 4,986 outputs
Outputs of similar age
#202,581
of 298,388 outputs
Outputs of similar age from Intensive Care Medicine
#96
of 126 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,986 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one is in the 12th percentile – i.e., 12% 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 298,388 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.