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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Free hemoglobin concentration in severe sepsis: methods of measurement and prediction of outcome
|
|---|---|
| Published in |
Critical Care, July 2012
|
| DOI | 10.1186/cc11425 |
| Pubmed ID | |
| Authors |
Michael Adamzik, Tim Hamburger, Frank Petrat, Jürgen Peters, Herbert de Groot, Matthias Hartmann |
| Abstract |
ABSTRACT: INTRODUCTION: Hemolysis can be induced in sepsis via various mechanisms, its pathophysiological importance has been demonstrated in experimental sepsis. However, no data on free hemoglobin concentrations in human sepsis are available. In the present study we measured free hemoglobin in patients with severe sepsis as well as in postoperative patients using four methods. It was our aim to determine the potential value of free hemoglobin as a biomarker for diagnosis and outcome of severe sepsis in critical illness. METHODS: Plasma concentration of free hemoglobin was determined in patients with severe sepsis (n = 161) and postoperative patients (n = 136) on day 1 of diagnosis and surgery. For the measurement of free hemoglobin, an enzyme linked immunosorbent assay and three spectrophotometric algorithms were used. Moreover, SAPS II- and SOFA scores as well as procalcitonin concentration and outcome were determined. Kaplan-Meier analysis was performed and odds ratios were determined after classification of free hemoglobin concentrations in a high and low concentration group according to the median. For statistical evaluation the Mann-Whitney test and logistic regression analysis were used. RESULTS: In non-survivors of severe sepsis, free hemoglobin concentration was twice the concentration compared to survivors. Thirty-day survival of patients, as evidenced by Kaplan-Meier analysis, was markedly lower in patients with high free hemoglobin concentration than in patients with low free hemoglobin concentration. Best discrimination of outcome was achieved with the spectrophotometric method of Harboe (51.3% vs. 86.4% survival, p < 0.001; odds ratio 6.1). Multivariate analysis including free hemoglobin, age, SAPS II- and SOFA-score and procalcitonin demonstrated that free hemoglobin, as determined by all 4 methods, was the best and an independent predictor for death in severe sepsis (p = 0.022 to p < 0.001). Free hemoglobin concentrations were not significantly different in postoperative and septic patients in three of four assays. Thus, free hemoglobin can not be used to diagnose severe sepsis in critical illness. CONCLUSIONS: Free hemoglobin is an important new predictor of survival in severe sepsis. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Costa Rica | 1 | 1% |
| Norway | 1 | 1% |
| Romania | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 89 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 20% |
| Student > Bachelor | 13 | 14% |
| Researcher | 11 | 12% |
| Other | 8 | 8% |
| Student > Master | 7 | 7% |
| Other | 20 | 21% |
| Unknown | 17 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 42% |
| Agricultural and Biological Sciences | 12 | 13% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Engineering | 6 | 6% |
| Immunology and Microbiology | 2 | 2% |
| Other | 10 | 11% |
| Unknown | 18 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 15 September 2016.
All research outputs
#6,753,656
of 25,371,288 outputs
Outputs from Critical Care
#3,793
of 6,554 outputs
Outputs of similar age
#45,937
of 177,875 outputs
Outputs of similar age from Critical Care
#34
of 117 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. 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 177,875 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 117 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 70% of its contemporaries.