Abstract: Correlation between glycemic control levels and blood pressure variability with prognosis in hemodialysis patients complicated with type 2 diabetes     YIN Tao1, LI Yue-hong1, WEN Wen1    1Department of Nephrology, Beijing Tsinghua Changgung Hospital affiliated to Tsinghua Universit, Beijing 102218, China
Corresponding author: LI Yue-hong, Email: lyha01051@btch.edu.cn
【Abstract】Objective  To investigate the relationship between blood pressure variability and blood pressure control in patients with type 2 diabetes mellitus (T2DM) undergoing maintenance hemodialysis (MHD). BPV), and to analyze the prognosis of patients with different glycosylated hemoglobin (HbA1c) groups.  Methods  The clinical data of T2DM patients with regular hemodialysis in the Department of Nephrology of Beijing Tsinghua Changgung Hospital from January 2024 were retrospectively analyzed. Patients were divided into three groups according to HbA1c levels: HbA1c < 7%, HbA1c7%～8%, and HbA1c > 8%. Blood pressure fluctuations were compared among the different HbA1c patients, and independent influencing factors of BPV were explored. A cohort follow-up study was conducted from January 2024 to January 2025 to compare and analyze the clinical prognosis of patients with stable HbA1c over the one-year follow-up period.  Results  A total of 70 T2DM patients on hemodialysis were enrolled, including 45 males and 25 females, with a mean age of (62.79±11.70) years and a median dialysis vintage of 52.94 (30.25, 68.75) months. Statistically significant differences were observed among the groups in dialysis blood glucose (H=19.259, P<0.001), glycemic variability (GV) (H=15.291, P<0.001), dialysis systolic blood pressure (H=11.253, P=0.004), systolic blood pressure variability (SBPV) (H=11.560, P=0.003), premix insulin use [(χ²=7.412, P=0.003). P=0.025], severe Coronary Artery stenosis (Coronary Artery Disease Reporting and Data System (CAD-RADS) ≥4) (χ²=7.665, P=0.022), cerebral infarction (National Institutes of Health Stroke Scale (NIHSS) score ≥2 points) (χ²=7.084, P=0.029) between the two groups were statistically significant. SBPV was positively correlated with GV (r=0.267, P=0.026). Logistic regression analysis showed that HbA1c (HbA1c7%～8%) (OR=0.147, 95% CI: 0.032～0.678, P=0.014), dialysis duration (OR=1.040, 95% CI: 1.011～1.070, P=0.006), standard deviation of NN intervals (SDNN) (OR=0.975, 95%CI: 0.954～0.996, P=0.022) were the independent influencing factors of SBPV. When comparing the groups defined by HbA1c (< 7%, 7%～8%, and >8%), patients with HbA1c 7%-8% had lower incidence of cardiovascular and cerebrovascular adverse events (χ²=7.500, P=0.024) and shorter average length of hospital stay (F=3.344, P=0.042).   Conclusion   There is a positive correlation between blood glucose variability and blood pressure variability in T2DM patients undergoing hemodialysis. Patients with larger GV during hemodialysis also have higher BPV. Patients with HbA1c levels 7%-8% have a better prognosis. HbA1c, dialysis age and SDNN are independent influencing factors for SBPV during dialysis.

Key words: Type 2 diabetes mellitus, Hemodialysis, Hemoglobin A1c, Glycemic variability, Blood pressure variability