Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients

Frontiers in Medicine

article

Simon Krenn¹  Michael Schmiedecker¹  Daniel Schneditz⁴  Sebastian Hödlmoser¹  Christopher C. Mayer³  Siegfried Wassertheurer³  Haris Omic¹  Eva Schernhammer²  Peter Wabel⁵  Manfred Hecking¹ 

[1] Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna;Department of Epidemiology, Center for Public Health, Medical University of Vienna;AIT Austrian Institute of Technology, Center for Health & Bioresources;Division of Physiology, Otto Loewi Research Center, Medical University of Graz;Independent Researcher

关键词: blood volume;    chronic kidney disease;    fluid status;    hemodialysis;    renal insufficiency;    chronic;    renal dialysis;   

DOI  :  10.3389/fmed.2022.801089

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Background Absolute blood volume (ABV) is a critical component of fluid status, which may inform target weight prescriptions and hemodynamic vulnerability of dialysis patients. Here, we utilized the changes in relative blood volume (RBV), monitored by ultrasound (BVM) upon intradialytic 240 mL dialysate fluid bolus-infusion 1 h after hemodialysis start, to calculate the session-specific ABV. With the main goal of assessing clinical feasibility, our sub-aims were to (i) standardize the BVM-data read-out; (ii) determine optimal time-points for ABV-calculation, “before-” and “after-bolus”; (iii) assess ABV-variation. Methods We used high-level programming language and basic descriptive statistics in a retrospective study of routinely measured BVM-data from 274 hemodialysis sessions in 98 patients. Results Regarding (i) and (ii), we automatized the processing of RBV-data, and determined an algorithm to select the adequate RBV-data points for ABV-calculations. Regarding (iii), we found in 144 BVM-curves from 75 patients, that the average ABV ± standard deviation was 5.2 ± 1.5 L and that among those 51 patients who still had ≥2 valid estimates, the average intra-patient standard deviation in ABV was 0.8 L. Twenty-seven of these patients had an average intra-patient standard deviation in ABV <0.5 L. Conclusions We demonstrate feasibility of ABV-calculation by an automated algorithm after dialysate bolus-administration, based on the BVM-curve. Based on our results from this simple “abridged” calculation approach with routine clinical measurements, we encourage the use of multi-compartment modeling and comparison with reference methods of ABV-determination. Hopes are high that clinicians will be able to use ABV to inform target weight prescription, improving hemodynamic stability.

【 授权许可】

CC BY