Assessment of a change of blood volume during hemodialysis

Fueda, Yuri; Hattori, Takumu; Minato, Kotaro; Ohyama, Toshiharu; Katayama, Toshiro

doi:10.1109/iccme.2012.6275722

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…In general, the percentage BV decreases sharply in the first few minutes of dialysis and then gradually decreases [6]. The differences are a decrease in BV caused solely by ultrafiltration and a decrease in BV compensated for by plasma refilling [7][8][9]. The balance of ultrafiltration rate (UFR) and plasma refilling rate influences the intravascular volume status during HD.…”

Section: Introductionmentioning

confidence: 99%

The Changes in Relative Blood Volume during Dialysis Are Characterized by Ultrafiltration Rate and Predialysis Blood Test Values

Tanaka,

Kawakubo,

Shigematsu

et al. 2024

Blood Purif

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Introduction: Continuous monitoring of relative blood volume (percentage BV) in hemodialysis (HD) is critical for determining dry weight and preventing intradialytic hypotension. However, the cause of the blood volume variation remains unknown. This research aims to examine factors that influence the percentage BV. Methods: We devised a formula based on coefficients (“a,” “τ” and “b”) to predict changes in percentage BV. “a” denotes a significant decrease in percentage BV in the early stages of HD. “τ” represents the transition from early to late phase of HD. “b” denotes the slope of the decrease in percentage BV in the late phase of HD. We measured the percentage BV in 18 patients with end-stage renal disease. The coefficients were estimated by fitting experimental data from patients using a least squares optimization algorithm. A correlation analysis of these parameters and patient predialysis data was performed. Results: Ultrafiltration rate (UFR) was found to be negatively correlated with “b” (r = −0.851, p < 0.01). However, UFR was not significantly related to “a.” Predialysis serum total protein level was negatively correlated with “a” (r = −0.531, p = 0.042). Predialysis serum albumin and predialysis sodium were not significantly correlated with “a” and “τ”. Plasma osmolarity did not have a significant relationship with “a” and “τ”. Discussion/Conclusion: UFR influenced the decrease in percentage BV in the late phase but did not influence the decrease of percentage BV in the early phase. “a” was associated with predialysis serum total protein level level but not with plasma osmolality or predialysis sodium. This implies that colloid oncotic pressure is important for plasma refilling immediately after dialysis begins.During the change of percentage BV, the decrease in the early phase of dialysis was not related to UFR, but related to other parameters, especially predialysis total protein level. A decrease in the late phase of dialysis is related to UFR.

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Section: Introductionmentioning

confidence: 99%

The Changes in Relative Blood Volume during Dialysis Are Characterized by Ultrafiltration Rate and Predialysis Blood Test Values

Tanaka,

Kawakubo,

Shigematsu

et al. 2024

Blood Purif

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“…A rule-based ES is used to identify the liquid level in the dash-pot and change the speed of blood pumps [5]. Learning from the samples proposed by ES, NN is established to detect the air bubbles and the pressures in catheters and control the speeds of blood pumps.…”

Section: Introductionmentioning

confidence: 99%

A rule-based expert system fusing the neural network for the blood drainage of hemodialysis

Cao

Jia

et al. 2014

Proceedings of the 33rd Chinese Control Conference

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Dialysis is a process for removing the waste and excess water from the blood used for people with renal failure.The existing dialysis machine draws blood directly to the dialyzer, and the flow velocity of blood is difficult to be controlled. This paper proposes a rule-based expert system fusing the neural network method to maintain the stability and the safety of the blood drainage during hemodialysis. The expert system with a rule base is presented for the blood pumps to change the rotating speed in order to keep a proper volume of blood for dialysis. Then, the neural network is combined with the rule-based expert system to analyze the influences of the air bubbles and the pressures in catheters to the speeds of blood pumps. The simulations and the experiments on an actual dialysis sessions are carried out, which verify the hemodynamic stability and the effect of the proposed method.

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Assessment of a change of blood volume during hemodialysis

Cited by 2 publications

References 12 publications

The Changes in Relative Blood Volume during Dialysis Are Characterized by Ultrafiltration Rate and Predialysis Blood Test Values

The Changes in Relative Blood Volume during Dialysis Are Characterized by Ultrafiltration Rate and Predialysis Blood Test Values

A rule-based expert system fusing the neural network for the blood drainage of hemodialysis

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