Introduction Diabetes mellitus is a common cause of kidney failure and is often complicated by autonomic neuropathy, which may have implications for blood pressure (BP) homeostasis during hemodialysis (HD). Methods In this post hoc analysis of the Frequent Hemodialysis Network (FHN) Daily Trial, we used random effects Poisson and linear regression models to estimate the association of diabetes (versus not) with intra-dialytic hypotension (IDH) and peri-dialytic BP parameters, respectively. We tested for differential associations according to the randomized treatment (6/week vs 3/week HD) and pre-HD systolic BP. Results Of the 244 patients with intra-dialytic BP data, 100 (41%) had diabetes at baseline. The mean age was 51 ± 14 years; 39% were female. In adjusted models, diabetes (vs. not) was associated with a 93% higher risk of developing IDH (IRR 1.93; 95% CI 1.26, 2.95). There was no evidence that the randomized treatment assignment modified the association between diabetes and IDH (P-interaction=0.32), but more potent associations were noted among those with higher pre-HD systolic BP (P-interaction <0.001). Diabetes (vs. not) was associated with a lower adjusted nadir intra-HD BP (-4.2; 95%CI -8.3, -0.2 mmHg), but not with the pre- or post-HD systolic BP. Conclusions Among participants of the FHN Daily trial, patients with diabetes had a higher risk of intra-dialytic hypotension and lower nadir intra-HD systolic BP than patients without diabetes, even when undergoing HD up to 6 times per week.
Keyphrases
- blood pressure
- type diabetes
- glycemic control
- end stage renal disease
- cardiovascular disease
- phase iii
- chronic kidney disease
- heart failure
- peritoneal dialysis
- left ventricular
- phase ii
- clinical trial
- hypertensive patients
- placebo controlled
- heart rate
- open label
- physical activity
- randomized controlled trial
- double blind
- blood glucose
- heart rate variability
- atrial fibrillation
- artificial intelligence
- adipose tissue
- insulin resistance
- weight loss
- smoking cessation
- replacement therapy
- high grade
- neural network