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Skin autofluorescence predicts cardio-renal outcome in type 1 diabetes: a longitudinal study

Overview of attention for article published in Cardiovascular Diabetology, September 2016
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Title
Skin autofluorescence predicts cardio-renal outcome in type 1 diabetes: a longitudinal study
Published in
Cardiovascular Diabetology, September 2016
DOI 10.1186/s12933-016-0448-8
Pubmed ID
Authors

Fritz-Line Vélayoudom-Céphise, Kalina Rajaobelina, Catherine Helmer, Sovanndany Nov, Emilie Pupier, Laurence Blanco, Marie Hugo, Blandine Farges, Cyril Astrugue, Henri Gin, Vincent Rigalleau

Abstract

We aimed to analyze the relationships between skin autofluorescence (SAF) and incident macrovascular events and renal impairment after 4 years of follow-up in patients with type 1 diabetes (T1D). Two hundred and forty-three patients (51.2 ± 16.7 years old) with T1D participated. SAF was measured by AGE-Reader-TM at inclusion. Macrovascular events (MVE), estimated glomerular filtration rate (eGFR) and urinary albumin excretion rate (AER) were recorded then and 4 years later. Multivariate logistic regression was used to analyze the relationships between SAF and incident MVE and renal profile 4 years later. Patients with incident MVE had a higher SAF (p = 0.003). SAF predicted incident MVE after adjustment for age, sex, body mass index, tobacco, diabetes duration, hypertension, HbA1c, AER, eGFR (OR 4.84 [95 % CI 1.31-17.89], p = 0.018). However, this relation was no longer significant after adjustment for history of MVE. An inverse relation was found between SAF and incident eGFR (p = 0.0001). Patients with incident eGFR <60 ml/min/1.73 m(2) had a SAF higher than patients with normal eGFR. After adjustment for the previous criteria, SAF remained associated with the risk of impaired incident eGFR (OR 7.42 [95 % CI 1.59-34.65], p = 0.018). No relation was found between SAF and increased AER 4 years later. SAF predicts MVE in patients with T1D, adjusted for cardiovascular risk factors but the most powerful predictive factor remains history of MVE. SAF also predicts eGFR impairment, adjusted for initial AER and renal function. SAF could be a useful non-invasive tool for estimating risk of cardiovascular or renal impairment in patients with T1D.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 19%
Student > Ph. D. Student 4 15%
Researcher 3 12%
Student > Master 3 12%
Other 2 8%
Other 3 12%
Unknown 6 23%
Readers by discipline Count As %
Medicine and Dentistry 7 27%
Chemistry 3 12%
Nursing and Health Professions 3 12%
Agricultural and Biological Sciences 2 8%
Veterinary Science and Veterinary Medicine 1 4%
Other 3 12%
Unknown 7 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2016.
All research outputs
#8,510,263
of 13,559,548 outputs
Outputs from Cardiovascular Diabetology
#439
of 793 outputs
Outputs of similar age
#145,808
of 263,181 outputs
Outputs of similar age from Cardiovascular Diabetology
#1
of 1 outputs
Altmetric has tracked 13,559,548 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 263,181 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them