Analysis of changes in cerebral blood flow during maintenance hemodialysis in middle-aged and elderly patients
10.3760/cma.j.cn441217-20240208-00214
- VernacularTitle:中老年维持性血液透析患者透析过程中脑血流量变化
- Author:
Yidan GUO
1
;
Wei CUI
;
Pengpeng YE
;
Zhihua SHI
;
Meng JIA
;
Xiaoling ZHOU
;
Yang LUO
Author Information
1. 首都医科大学附属北京世纪坛医院肾内科,北京 100038
- Keywords:
Renal dialysis;
Ultrasound, Doppler, transcranial;
Brain;
Cerebrovascular circulation;
Ultrafiltration
- From:
Chinese Journal of Nephrology
2024;40(10):792-797
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the changes and associated factors of cerebral blood flow in middle-aged and elderly patients undergoing maintenance hemodialysis (MHD).Methods:This was a prospective observational study. End-stage renal disease (ESRD) patients undergoing MHD aged over 50 years at Beijing Shijitan Hospital, Capital Medical University from January 2023 to June 2023 were included. General clinical data of the selected individuals were collected, and dialysis related indicators were recorded and calculated. Mean flow velocity (MFV) of the middle cerebral arterial was measured by transcranial Doppler sonography (TCD) to represent cerebral blood flow throughout dialysis. Hemodialysis-related variables were collected. The MFV values of bilateral middle cerebral artery were measured through temporal windows at 7 time points: 15 minutes before dialysis (T1), 15 minutes (T2), 30 minutes (T3), 60 minutes (T4), 120 minutes (T5), 180 minutes (T6) during dialysis, and the endpoint of dialysis (T7), and the average values were recorded. The ΔMFV was calculated as pre-minus endpoint values of MFV. The Spearman rank correlation method was used to analyze the correlations between ΔMFV and dialysis-related variables, and multiple linear regression method was used to analyze the related factors of the changes in MFV.Results:This study included a total of 123 patients undergoing MHD, aged (63.63±8.44) years (range 50-85 years), including 99 males (80.5%). TCD examination demonstrated a decline trend in MFV throughout dialysis. The MFV at T7 was significantly lower than that at T1 ( Z=-7.650, P<0.001). The Spearman correlation analysis showed that the decline in MFV was correlated with ultrafiltration volume ( r=0.356), ultrafiltration rate ( r=0.371), the difference in systolic pressure (pre-analysis minus post-dialysis, r=0.251), the difference in mean arterial pressure (pre-dialysis minus post-dialysis, r=0.194), combined diabetes ( r=0.293), dialysis vintage ( r=0.220), Kt/V ( r=0.287), and serum albumin ( r=-0.295). Multiple linear regression analysis showed that combined with diabetes ( B=3.889, 95% CI 1.373-6.405, P=0.003), decreased serum albumin ( B=-0.456, 95% CI -0.877--0.036, P=0.034), increased ultrafiltration rate ( B=11.099, 95% CI 6.402-15.797, P<0.001) and the decline in systolic pressure ( B=0.062, 95% CI 0.008-0.116, P=0.026) were significantly associated with the decline in MFV throughout dialysis. Conclusions:In middle and elderly patients with ESRD undergoing hemodialysis, there is a decline trend in cerebral blood flow during hemodialysis. The combination of diabetes, lower serum albumin, higher ultrafiltration rate, and intradialytic systolic pressure decline are the risk factors influencing the intradialytic decline of cerebral blood flow.