| Title |
International validation of a urinary biomarker panel for identification of active lupus nephritis in children
|
|---|---|
| Published in |
Pediatric Nephrology, September 2016
|
| DOI | 10.1007/s00467-016-3485-3 |
| Pubmed ID | |
| Authors |
Eve Mary Dorothy Smith, Andrea Lyn Jorgensen, Angela Midgley, Louise Oni, Beatrice Goilav, Chaim Putterman, Dawn Wahezi, Tamar Rubinstein, Diana Ekdawy, Rachel Corkhill, Caroline Ann Jones, Stephen David Marks, Paul Newland, Clarissa Pilkington, Kjell Tullus, Michael William Beresford |
| Abstract |
Conventional markers of juvenile-onset systemic lupus erythematosus (JSLE) disease activity fail to adequately identify lupus nephritis (LN). While individual novel urine biomarkers are good at detecting LN flares, biomarker panels may improve diagnostic accuracy. The aim of this study was to assess the performance of a biomarker panel to identify active LN in two international JSLE cohorts. Novel urinary biomarkers, namely vascular cell adhesion molecule-1 (VCAM-1), monocyte chemoattractant protein 1 (MCP-1), lipocalin-like prostaglandin D synthase (LPGDS), transferrin (TF), ceruloplasmin, alpha-1-acid glycoprotein (AGP) and neutrophil gelatinase-associated lipocalin (NGAL), were quantified in a cross-sectional study that included participants of the UK JSLE Cohort Study (Cohort 1) and validated within the Einstein Lupus Cohort (Cohort 2). Binary logistic regression modelling and receiver operating characteristic curve analysis [area under the curve (AUC)] were used to identify and assess combinations of biomarkers for diagnostic accuracy. A total of 91 JSLE patients were recruited across both cohorts, of whom 31 (34 %) had active LN and 60 (66 %) had no LN. Urinary AGP, ceruloplasmin, VCAM-1, MCP-1 and LPGDS levels were significantly higher in those patients with active LN than in non-LN patients [all corrected p values (p c) < 0.05] across both cohorts. Urinary TF also differed between patient groups in Cohort 2 (p c = 0.001). Within Cohort 1, the optimal biomarker panel included AGP, ceruloplasmin, LPGDS and TF (AUC 0.920 for active LN identification). These results were validated in Cohort 2, with the same markers resulting in the optimal urine biomarker panel (AUC 0.991). In two international JSLE cohorts, urinary AGP, ceruloplasmin, LPGDS and TF demonstrate an 'excellent' ability for accurately identifying active LN in children. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 33% |
| United States | 2 | 22% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 15% |
| Researcher | 9 | 10% |
| Other | 8 | 9% |
| Student > Postgraduate | 8 | 9% |
| Student > Ph. D. Student | 7 | 8% |
| Other | 18 | 21% |
| Unknown | 23 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 47% |
| Agricultural and Biological Sciences | 6 | 7% |
| Nursing and Health Professions | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 27 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 13 April 2019.
All research outputs
#5,672,388
of 23,313,051 outputs
Outputs from Pediatric Nephrology
#918
of 3,619 outputs
Outputs of similar age
#87,485
of 338,337 outputs
Outputs of similar age from Pediatric Nephrology
#11
of 56 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,619 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 74% 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 338,337 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 74% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.