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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Urinary biomarkers predict advanced acute kidney injury after cardiovascular surgery
|
|---|---|
| Published in |
Critical Care, April 2018
|
| DOI | 10.1186/s13054-018-2035-8 |
| Pubmed ID | |
| Authors |
Jian-Jhong Wang, Nai-Hsin Chi, Tao-Min Huang, Rory Connolly, Liang Wen Chen, Shih-Chieh Jeff Chueh, Wei-Chih Kan, Chih-Cheng Lai, Vin-Cent Wu, Ji-Tseng Fang, Tzong-Shinn Chu, Kwan-Dun Wu |
| Abstract |
Acute kidney injury (AKI) after cardiovascular surgery is a serious complication. Little is known about the ability of novel biomarkers in combination with clinical risk scores for prediction of advanced AKI. In this prospectively conducted multicenter study, urine samples were collected from 149 adults at 0, 3, 6, 12 and 24 h after cardiovascular surgery. We measured urinary hemojuvelin (uHJV), kidney injury molecule-1 (uKIM-1), neutrophil gelatinase-associated lipocalin (uNGAL), α-glutathione S-transferase (uα-GST) and π-glutathione S-transferase (uπ-GST). The primary outcome was advanced AKI, under the definition of Kidney Disease: Improving Global Outcomes (KDIGO) stage 2, 3 and composite outcomes were KDIGO stage 2, 3 or 90-day mortality after hospital discharge. Patients with advanced AKI had significantly higher levels of uHJV and uKIM-1 at 3, 6 and 12 h after surgery. When normalized by urinary creatinine level, uKIM-1 in combination with uHJV at 3 h post-surgery had a high predictive ability for advanced AKI and composite outcome (AUC = 0.898 and 0.905, respectively). The combination of this biomarker panel (normalized uKIM-1, uHJV at 3 h post-operation) and Liano's score was superior in predicting advanced AKI (AUC = 0.931, category-free net reclassification improvement of 1.149, and p < 0.001). When added to Liano's score, normalized uHJV and uKIM-1 levels at 3 h after cardiovascular surgery enhanced the identification of patients at higher risk of progression to advanced AKI and composite outcomes. |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 4 | 13% |
| United States | 3 | 10% |
| United Kingdom | 3 | 10% |
| Spain | 2 | 6% |
| Italy | 2 | 6% |
| France | 1 | 3% |
| Guatemala | 1 | 3% |
| Comoros | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 11 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 77% |
| Practitioners (doctors, other healthcare professionals) | 3 | 10% |
| Scientists | 3 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Doctoral Student | 6 | 11% |
| Student > Master | 6 | 11% |
| Other | 5 | 9% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 10 | 19% |
| Unknown | 13 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 41% |
| Agricultural and Biological Sciences | 4 | 7% |
| Engineering | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Immunology and Microbiology | 1 | 2% |
| Other | 6 | 11% |
| Unknown | 16 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 June 2018.
All research outputs
#2,081,384
of 25,382,440 outputs
Outputs from Critical Care
#1,864
of 6,555 outputs
Outputs of similar age
#43,138
of 339,863 outputs
Outputs of similar age from Critical Care
#55
of 92 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,555 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has gotten more attention than average, scoring higher than 71% 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 339,863 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.