Unknown

Dataset Information

0

Insulin resistance is independently associated with cardiovascular autonomic neuropathy in type 2 diabetes.


ABSTRACT:

Aims/introduction

Diabetic cardiovascular autonomic neuropathy (DCAN) seriously threatens the prognosis and quality of life of patients with type 2 diabetes mellitus, associated with increased mortality. The present study aimed to investigate the relevant risk factors of DCAN.

Materials and methods

The present study enrolled a total of 109 patients with type 2 diabetes mellitus. DCAN was defined as a score of at least 2 points in Ewing tests. The updated homeostasis model assessment of insulin resistance (HOMA2-IR) based on fasting C-peptide was calculated to reflect insulin resistance. Logistic regression analysis, interaction and stratified analyses were used to investigate the relationship between HOMA2-IR or other indicators and DCAN. Receiver operating characteristic analysis was carried out to estimate the discriminative value of the variables independently associated with DCAN and to determine the optimal cut-off point of these models to screen DCAN.

Results

The HOMA2-IR levels were significantly higher in patients with DCAN, and tended to be worsened with the progression of the DCAN. Logistic regression analysis showed an independent association between HOMA2-IR (odds ratio 39.30, 95% confidence interval 7.17-215.47) and DCAN. HOMA2-IR (area under the curve 0.878, 95% confidence interval 0.810-0.946; cut-off value 1.735) individually predicted DCAN significantly higher than the other independent risk factors individually used, whereas models combining HOMA2-IR and other risk factors did not significantly boost the diagnostic power.

Conclusions

Insulin resistance is independently associated with DCAN. HOMA2-IR presents to be a highly accurate and parsimonious indicator for DCAN screening. Patients with HOMA2-IR >1.735 are at a high risk of DCAN; thus, priority diagnostic tests should be carried out for these patients for timely integrated intervention.

SUBMITTER: Liu Y 

PROVIDER: S-EPMC8409868 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC6071370 | biostudies-literature
| S-EPMC5065186 | biostudies-literature
| S-EPMC6410519 | biostudies-literature
| S-EPMC5001143 | biostudies-literature
| S-EPMC4912901 | biostudies-literature
| S-EPMC6300446 | biostudies-literature
| S-EPMC8756322 | biostudies-literature
| S-EPMC6754246 | biostudies-literature
| S-EPMC7783932 | biostudies-literature
| S-EPMC5916962 | biostudies-literature