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Mendeley readers
Attention Score in Context
| Title |
The combination of MELD score and ICG liver testing predicts length of stay in the ICU and hospital mortality in liver transplant recipients
|
|---|---|
| Published in |
BMC Anesthesiology, November 2014
|
| DOI | 10.1186/1471-2253-14-103 |
| Pubmed ID | |
| Authors |
Stephanie Klinzing, Giovanna Brandi, Paul A Stehberger, Dimitri A Raptis, Markus Béchir |
| Abstract |
Early prediction of outcome would be useful for an optimal intensive care management of liver transplant recipients. Indocyanine green clearance can be measured non-invasively by pulse spectrophometry and is closely related to liver function. This study was undertaken to assess the predictive value of a combination of the model of end stage liver disease (MELD) score and early indocyanine plasma disappearance rates (ICG-PDR) for length of stay in the intensive care unit (ICU), length of stay in the hospital and hospital mortality in liver transplant recipients. Fifty consecutive liver transplant recipients were included in this post Hoc single-center study. ICG-PDR was determined within 6 hours after ICU admission. Endpoints were length of stay in the ICU, length of hospital stay and hospital mortality. The combination of a high MELD score (MELD >25) and a low ICG-PDR clearance (ICG-PDR < 20%/minute) predicts a significant longer stay in the ICU (p = 0.004), a significant longer stay in the hospital (p < 0.001) and a hospital mortality of 40% vs. 0% (p = 0.003). The combination of MELD scores and a singular ICG-PDR measurement in the early postoperative phase is an accurate predictor for outcome in liver transplant recipients. This easy-to-assess tool might be valuable for an optimal intensive care management of those patients. |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 20% |
| Researcher | 7 | 17% |
| Student > Master | 6 | 15% |
| Student > Bachelor | 3 | 7% |
| Other | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 27% |
| Nursing and Health Professions | 4 | 10% |
| Computer Science | 4 | 10% |
| Engineering | 3 | 7% |
| Psychology | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 16 | 39% |
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 27 November 2014.
All research outputs
#20,242,779
of 22,770,070 outputs
Outputs from BMC Anesthesiology
#1,172
of 1,492 outputs
Outputs of similar age
#214,335
of 256,836 outputs
Outputs of similar age from BMC Anesthesiology
#24
of 26 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,492 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 1st percentile – i.e., 1% 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 256,836 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.