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Abstract Title
Heart rate variability is a predictor of decline in glomerular filtration rate in patients with type 2 diabetes mellitus
Presentation Type
Oral Presentation
Type Reference
Scientific Research Abstract
Abstract Category
Diabetes
Author's Information
Number of Authors (including submitting/presenting author) *
2
No more than 15 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Co-author 1
Khanh Thanh-Minh khanh.thanh@vlu.edu.vn Van Lang University Faculty of Medicine Ho Chi Minh city Vietnam *
Co-author 2
Tuan Le-Quoc dr.lequoctuan@ump.edu.vn University of Medicine and Pharmacy at Ho Chi Minh city School of Medicine Ho Chi Minh city Vietnam -
Co-author 3
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Co-author 15
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Abstract Content
Background and aims *
Emerging evidence highlights cardiovascular autonomic neuropathy is an independent predictor of rapid kidney function decline in type 2 diabetes mellitus (T2DM). Altered heart rate variability (HRV) was associated with microvascular complications, including diabetic nephropathy. The aim of this study was to determine whether HRV components independently predict estimated glomerular filtration rate (eGFR), in addition to conventional clinical and laboratory factors, in patients with T2DM.
Methods *
A cross-sectional study was conducted with 58 patients diagnosed with T2DM. Clinical features, along with hematological and urine test results, were obtained. Statistical analyses compared the prevalence and levels of HRV indices between T2DM patients with CKD and those without CKD. A short-term (5-minute) HRV analysis by chest strap ECG was used to measure variables of time-domain (SDNN: Standard deviation of all NN intervals (ms) and RMSSD: Root mean square of successive NN differences (ms)) and frequency-domain (HFpow: High-frequency power (ms²) and LFpow: Low-frequency power (ms²). Stepwise linear regression adjusted for sex, age and BMI was used to estimate the relationship between independent variables and eGFR.
Results *
There were 66 patients (59.1% male) with mean age 63.03 ± 9.31 years. Age-, sex-and BMI-adjusted linear regression using backwards data entry showed a significant model explained 78.2% of the variance of eGFR (F(8,26) = 16.285, p < 0.001, adjusted R2 = 0.782). The results showed that SDNN (β = 1.198, t = 3.141, p = 0.004), triglyceride (β = 0.016, t = 2.284, p = 0.031), albumin (β = –13.892, t = –2.133, p = 0.043) and HbA1c (β = –4.193, t = –2.205, p = 0.037), homocysteine (β = –2.340, t = –5.250, p < 0.001) and LFpow (β = –0.011, t = –3.313, p = 0.003) were predictors of eGFR.
Conclusions *
HRV components independently predict eGFR, in addition to conventional clinical and laboratory factors, in patients with type 2 diabetes mellitus. These findings highlight the potential value of HRV assessment for detection of cardiac autonomic neuropathy in T2DM, particularly among those at risk for or with established CKD.
Keyword(s)
Heart rate variability, glomerular filtration rate, type 2 diabetes mellitus
Figure 1
Figure 1 Caption
Total Word Count
329
Presenting Author First Name
Khanh
Presenting Author Last Name
Thanh-Minh
Presenting Author Email
khanh.thanh@vlu.edu.vn
Country (Internal Use)
Presentation Details
Session
Oral Presentation 2: Precision Diabetes: Management & Renal Protection
Date
Mar. 20 (Fri.)
Time
14:53 - 15:02
Presentation Order
08