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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Urinary proteomics for prediction of mortality in patients with type 2 diabetes and microalbuminuria
|
|---|---|
| Published in |
Cardiovascular Diabetology, April 2018
|
| DOI | 10.1186/s12933-018-0697-9 |
| Pubmed ID | |
| Authors |
Gemma E. Currie, Bernt Johan von Scholten, Sheon Mary, Jose-Luis Flores Guerrero, Morten Lindhardt, Henrik Reinhard, Peter K. Jacobsen, William Mullen, Hans-Henrik Parving, Harald Mischak, Peter Rossing, Christian Delles |
| Abstract |
The urinary proteomic classifier CKD273 has shown promise for prediction of progressive diabetic nephropathy (DN). Whether it is also a determinant of mortality and cardiovascular disease in patients with microalbuminuria (MA) is unknown. Urine samples were obtained from 155 patients with type 2 diabetes and confirmed microalbuminuria. Proteomic analysis was undertaken using capillary electrophoresis coupled to mass spectrometry to determine the CKD273 classifier score. A previously defined CKD273 threshold of 0.343 for identification of DN was used to categorise the cohort in Kaplan-Meier and Cox regression models with all-cause mortality as the primary endpoint. Outcomes were traced through national health registers after 6 years. CKD273 correlated with urine albumin excretion rate (UAER) (r = 0.481, p = <0.001), age (r = 0.238, p = 0.003), coronary artery calcium (CAC) score (r = 0.236, p = 0.003), N-terminal pro-brain natriuretic peptide (NT-proBNP) (r = 0.190, p = 0.018) and estimated glomerular filtration rate (eGFR) (r = 0.265, p = 0.001). On multivariate analysis only UAER (β = 0.402, p < 0.001) and eGFR (β = - 0.184, p = 0.039) were statistically significant determinants of CKD273. Twenty participants died during follow-up. CKD273 was a determinant of mortality (log rank [Mantel-Cox] p = 0.004), and retained significance (p = 0.048) after adjustment for age, sex, blood pressure, NT-proBNP and CAC score in a Cox regression model. A multidimensional biomarker can provide information on outcomes associated with its primary diagnostic purpose. Here we demonstrate that the urinary proteomic classifier CKD273 is associated with mortality in individuals with type 2 diabetes and MA even when adjusted for other established cardiovascular and renal biomarkers. |
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 % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Student > Ph. D. Student | 7 | 13% |
| Researcher | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Librarian | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 20 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 27% |
| Agricultural and Biological Sciences | 4 | 8% |
| Computer Science | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 21 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 April 2018.
All research outputs
#13,491,796
of 23,041,514 outputs
Outputs from Cardiovascular Diabetology
#664
of 1,405 outputs
Outputs of similar age
#168,622
of 329,529 outputs
Outputs of similar age from Cardiovascular Diabetology
#15
of 28 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,405 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 52% 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 329,529 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.