| Title |
Serum cystatin C for acute kidney injury evaluation in children treated with aminoglycosides
|
|---|---|
| Published in |
Pediatric Nephrology, October 2016
|
| DOI | 10.1007/s00467-016-3450-1 |
| Pubmed ID | |
| Authors |
Lorraine Lau, Zubaida Al-Ismaili, Maya Harel-Sterling, Michael Pizzi, Jillian S. Caldwell, Melissa Piccioni, Larry C. Lands, Theresa Mottes, Prasad Devarajan, Stuart L. Goldstein, Michael R. Bennett, Michael Zappitelli |
| Abstract |
Serum cystatin C (CysC) is a more accurate glomerular filtration rate marker than serum creatinine (SCr) and may rise more quickly with acute kidney injury (AKI). We performed a prospective cohort study of 81 non-critically ill children during 110 aminoglycoside (AG) treatments. We calculated area under the curve (AUC) for CysC to diagnose SCr-defined AKI and predict persistent AKI. SCr-AKI definition was based on the Kidney Disease: Improving Global Outcomes (≥stage 1: ≥50 % or 26.5 μmol/l SCr rise from baseline; stage 2: SCr doubling); CysC-AKI was based on a modified version using CysC rise. SCr-AKI and CysC-AKI developed in 45 and 48 % treatments, respectively. CysC rise predicted stage 1 (AUC = 0.75, 95 % CI 0.60-0.90) and 2 (AUC = 0.85, 95 % CI 0.75-0.95) SCr-AKI 2 days before SCr-AKI attainment. The best combined sensitivity/specificity for percent CysC rise to predict stage 1 SCr-AKI was with a 44 % CysC rise (sensitivity = 65 %, specificity = 83 %). CysC rise on day of SCr-AKI development was associated with SCr-AKI ≥48 h (AUC = 0.73, 95 % CI 0.56-0.90) and ≥50 % persistent SCr rise at treatment end (AUC = 0.76, 95 % CI 0.61-0.90). CysC is as an early AKI biomarker and predictive of persistent AKI on aminoglycoside treatment. |
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 % |
|---|---|---|
| Canada | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 7 | 15% |
| Student > Postgraduate | 7 | 15% |
| Student > Master | 5 | 10% |
| Researcher | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 10 | 21% |
| Unknown | 12 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 42% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 10% |
| Nursing and Health Professions | 3 | 6% |
| Engineering | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 14 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 October 2016.
All research outputs
#14,864,294
of 22,893,031 outputs
Outputs from Pediatric Nephrology
#2,557
of 3,554 outputs
Outputs of similar age
#191,830
of 319,861 outputs
Outputs of similar age from Pediatric Nephrology
#45
of 70 outputs
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