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The association between glycemic variability and diabetic cardiovascular autonomic neuropathy in patients with type 2 diabetes

Overview of attention for article published in Cardiovascular Diabetology, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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Title
The association between glycemic variability and diabetic cardiovascular autonomic neuropathy in patients with type 2 diabetes
Published in
Cardiovascular Diabetology, June 2015
DOI 10.1186/s12933-015-0233-0
Pubmed ID
Authors

Ji Eun Jun, Sang-Man Jin, Jongha Baek, Sewon Oh, Kyu Yeon Hur, Myung-Shik Lee, Moon-Kyu Lee, Jae Hyeon Kim

Abstract

It is presently unclear whether glycemic variability is associated with diabetic cardiovascular autonomic neuropathy (CAN). The aim of this study was to examine whether short- and/or long-term glycemic variability (GV) contribute to CAN. A total of 110 patients with type 2 diabetes who underwent three-day continuous glucose monitoring (CGM) completed five standardized autonomic neuropathy tests. Short-term GV was measured by the standard deviation (SD), coefficient of variation (CV) of glucose, and the mean amplitude of glycemic excursions (MAGE) in CGM. HbA1c variability was calculated from the intrapersonal SD, adjusted SD, and CV of serial HbA1c over 2-year period. CAN was defined as the presence of at least two abnormal parasympathetic function tests. The severity of CAN was evaluated by total scores of five autonomic function tests. In univariate analysis, not only SD and CV in CGM but also all parameters of HbA1c variability were significantly higher in the patients with CAN (n = 47, 42.7 %) than in those without CAN. In multivariate analysis, CV (Odds ratio [OR] 1.07, 95 % confidence interval [CI] 1.01-1.13; p = 0.033), but neither SD nor MAGE in CGM, independently correlated with the presence of CAN. All parameters of HbA1c variability, such as SD of HbA1c (OR 12.10 [95 % CI 2.29-63.94], p = 0.003), adjusted SD of HbA1c (OR 17.02 [95 % CI 2.66-108.86], p = 0.003), and log CV of HbA1c (OR 24.00 [95 % CI 3.09-186.48], p = 0.002), were significantly associated with the presence of CAN. The patients with higher HbA1c variability had an increased risk of advanced CAN. CV in CGM and all parameters of HbA1c variability were independently associated with the presence of CAN in patients with inadequately controlled type 2 diabetes requiring CGM.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United States 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 17%
Student > Bachelor 15 16%
Researcher 10 11%
Student > Postgraduate 7 7%
Other 6 6%
Other 18 19%
Unknown 23 24%
Readers by discipline Count As %
Medicine and Dentistry 41 43%
Agricultural and Biological Sciences 3 3%
Nursing and Health Professions 3 3%
Unspecified 3 3%
Sports and Recreations 3 3%
Other 13 14%
Unknown 29 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 04 June 2015.
All research outputs
#3,007,859
of 23,576,969 outputs
Outputs from Cardiovascular Diabetology
#211
of 1,467 outputs
Outputs of similar age
#39,512
of 268,021 outputs
Outputs of similar age from Cardiovascular Diabetology
#4
of 33 outputs
Altmetric has tracked 23,576,969 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,467 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done well, scoring higher than 84% 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 268,021 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.