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Urinary biomarkers are associated with incident cardiovascular disease, all-cause mortality and deterioration of kidney function in type 2 diabetic patients with microalbuminuria

Overview of attention for article published in Diabetologia, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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8 X users

Citations

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40 Mendeley
Title
Urinary biomarkers are associated with incident cardiovascular disease, all-cause mortality and deterioration of kidney function in type 2 diabetic patients with microalbuminuria
Published in
Diabetologia, March 2016
DOI 10.1007/s00125-016-3937-0
Pubmed ID
Authors

Bernt Johan von Scholten, Henrik Reinhard, Tine W. Hansen, Jens Oellgaard, Hans-Henrik Parving, Peter K. Jacobsen, Peter Rossing

Abstract

We evaluated two urinary biomarkers reflecting different aspects of renal pathophysiology as potential determinants of incident cardiovascular disease (CVD), all-cause mortality and a reduced estimated GFR (eGFR) in patients with type 2 diabetes and microalbuminuria but without clinical features of coronary artery disease. In a prospective study of 200 patients, all received multifactorial treatment. Baseline measurements of urinary hepatocyte growth factor (HGF) and adiponectin were available for 191 patients. Cox models were adjusted for sex, age, LDL-cholesterol, smoking, HbA1c, plasma creatinine, systolic BP and urinary AER (UAER). The pre-defined endpoint of chronic kidney disease progression was a decline in the eGFR of >30% during follow-up. HRs per 1 SD increment of log-transformed values are presented. Patients had a mean ± SD age of 59 ± 9 years with a median (interquartile range) UAER of 103 (39-230) mg/24 h. During a median 6.1 years of follow-up, there were 40 incident CVD events, 26 deaths and 42 patients reached the pre-defined chronic kidney disease progression endpoint after 4.9 years (median). Higher urinary HGF was a determinant of CVD in unadjusted (HR 1.9 [95% CI 1.3, 2.8], p = 0.001) and adjusted (HR 2.0 [95% CI 1.2, 3.2], p = 0.004) models, and of all-cause mortality in unadjusted (HR 2.3 [95% CI 1.3, 3.9], p = 0.003) and adjusted (HR 2.5 [95% CI 1.3, 4.8], p = 0.005) models. A higher adiponectin level was associated with CVD in unadjusted (HR 1.4 [95% CI 1.0, 1.9], p = 0.04) and adjusted (HR 1.4 [95% CI 1.1, 2.3], p = 0.013) models, and with a decline in the eGFR of >30% in unadjusted (HR 1.6 [95% CI 1.2, 2.2], p = 0.008) and adjusted (HR 1.5 [95% CI 1.1, 2.2], p = 0.007) models. In patients with type 2 diabetes and microalbuminuria receiving multifactorial treatment, higher urinary HGF was associated with incident CVD and all-cause mortality, and higher adiponectin was associated with CVD and deterioration in renal function.

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X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Other 4 10%
Researcher 4 10%
Lecturer 2 5%
Student > Bachelor 2 5%
Other 5 13%
Unknown 15 38%
Readers by discipline Count As %
Medicine and Dentistry 12 30%
Biochemistry, Genetics and Molecular Biology 3 8%
Nursing and Health Professions 2 5%
Engineering 2 5%
Psychology 1 3%
Other 3 8%
Unknown 17 43%
Attention Score in Context

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 07 July 2016.
All research outputs
#5,453,120
of 22,860,626 outputs
Outputs from Diabetologia
#2,327
of 5,036 outputs
Outputs of similar age
#77,644
of 301,001 outputs
Outputs of similar age from Diabetologia
#40
of 84 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one has gotten more attention than average, scoring higher than 53% 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 301,001 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 84 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 52% of its contemporaries.