Cardiovascular Response to Intravenous Glucose Injection during Hemodialysis with Assessment of Entropy Alterations

Niemczyk, Longin; Buszko, Katarzyna; Schneditz, Daniel; Wojtecka, Anna; Romejko, Katarzyna; Saracyn, Marek; Niemczyk, Stanisław

doi:10.3390/nu14245362

Cited by 3 publications

(4 citation statements)

References 44 publications

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“…The increase in pulse pressure in this study is also indicative of increased stroke volume ( Figure 3 ). A more detailed analysis of the hemodynamic effects of hypertonic glucose is presented in the companion publications of the same journal [ 27 , 28 ].…”

Section: Discussionmentioning

confidence: 99%

Comparable Hemodilution with Hypertonic Glucose in Patients with and without Type-2 Diabetes Mellitus during Hemodialysis

et al. 2023

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(1) Background: It was examined whether glucose-induced changes in the relative blood volume are suitable to identify subjects with and without type-2 diabetes mellitus (T2D) during hemodialysis. (2) Methods: The relative blood volume was continuously recorded during hemodialysis and perturbed by the infusion of glucose comparable to the dose used for intravenous glucose tolerance tests. Indices of glucose metabolism were determined by the homeostatic model assessment (HOMA). Body composition was measured by a bioimpedance analysis. The magnitude and the time course of hemodilution were described by a modified gamma variate model and five model parameters. (3) Results: A total of 34 subjects were studied, 14 with and 20 without T2D. The magnitude of the hemodilution and the selected model parameters correlated with measures of anthropometry, body mass index, absolute and relative fat mass, volume excess, baseline insulin concentration, and HOMA indices such as insulin resistance and glucose disposition in a continuous analysis, but were not different in a dichotomous analysis of patients with and without T2D. (4) Conclusions: Even though the parameters of the hemodilution curve were correlated with measures of impaired glucose metabolism and body composition, the distinction between subjects with and without T2D was not possible using glucose-induced changes in the relative blood volume during hemodialysis.

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Section: Discussionmentioning

confidence: 99%

Comparable Hemodilution with Hypertonic Glucose in Patients with and without Type-2 Diabetes Mellitus during Hemodialysis

et al. 2023

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“…The time course and the magnitude of the perturbation was comparable to that of an intravenous glucose tolerance test, but it was completed during hemodialysis. This perturbation not only has metabolic effects that were analyzed and discussed previously but also the significant hemodynamic and blood volume effects analyzed and discussed in this article and in companion papers published in the same journal [ 19 , 20 ].…”

Section: Methodsmentioning

confidence: 91%

“…In our study, we found that the glucose infusion during HD in patients with HR < 60 at T -30 prevented a potential fall in DBP after one hour of the glucose infusion. It may be especially important for those with HR < 60 bpm, where the compensatory mechanisms of blood pressure control connected with HR variability may be impaired [ 19 ]. Moreover, we observed that patients with diabetes had lower DBP throughout the whole treatment session compared to those without diabetes ( p = 0.028).…”

Section: Discussionmentioning

confidence: 99%

Changes of Hemodynamic Parameters after Intradialytic Glucose Injection

Niemczyk

Romejko

Szamotulska³

et al. 2023

Nutrients

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Background: Intradialytic hypotension (IDH) is a frequent complication of hemodialysis (HD). Current methods of IDH prevention are insufficient. Methods: We analyzed the intradialytic time course of systolic (SBP), diastolic (DBP), mean arterial (MAP), pulse pressure (PP), and heart rate (HR) in a group of chronic kidney disease (CKD) patients. First, 30 min into HD, a 40% glucose solution was injected into the venous line of the extracorporeal circulation at a dose of 0.5 g/kg of dry weight. Pressures and HR were measured in frequent intervals. Relative volume overload was determined by bioimpedance spectroscopy. Results: Thirty-five participants were studied. SBP increased after 5, 10, and 20 min of glucose infusion. DBP increased after 2 and 3 h and also at the end of HD. PP increased after 5, 10, and 20 min of glucose infusion and fell after the 2nd and 3rd hour and also at the end of HD. MAP increased after 2 and 3 h of glucose injection and at the end of HD. Significant interactions of the time course of SBP, DBP, MAP, with HR at baseline and of the time course of PP with fluid overload were observed. Symptomatic hypotensive episodes were absent. Conclusions: Glucose infusions during HD prevent symptomatic IDH and do not cause severe hypertensive episodes.

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“…Their study showed that AAPE, which takes into account the mean and difference of the sample amplitudes, is more sensitive to the signal’s amplitude characteristics than PE, and is a powerful tool for segmenting signals and detecting spikes. At present, AAPE has been used for image classification [ 37 ], feature extraction [ 38 , 39 , 40 ], and has been widely used in the mechanical field, especially in rotating machinery fault diagnosis [ 41 , 42 ].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Structural Health Monitoring: Leveraging Amplitude-Aware Permutation Entropy of Time Series Model Residuals for Nonlinear Damage Diagnosis

Zhang,

Li,

2024

Sensors

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In structural health monitoring (SHM), most current methods and techniques are based on the assumption of linear models and linear damage. However, the damage in real engineering structures is more characterized by nonlinear behavior, including the appearance of cracks and the loosening of bolts. To solve the structural nonlinear damage diagnosis problem more effectively, this study combines the autoregressive (AR) model and amplitude-aware permutation entropy (AAPE) to propose a data-driven damage detection method. First, an AR model is built for the acceleration data from each structure sensor in the baseline state, including determining the model order using a modified iterative method based on the Bayesian information criterion (BIC) and calculating the model coefficients. Subsequently, in the testing phase, the residuals of the AR model are extracted as damage-sensitive features (DSFs), and the AAPE is calculated as a damage classifier to diagnose the nonlinear damage. Numerical simulation of a six-story building model and experimental data from a three-story frame structure at the Los Alamos Laboratory are utilized to illustrate the effectiveness of the proposed methodology. In addition, to demonstrate the advantages of the present method, we analyzed AAPE in comparison with other advanced univariate damage classifiers. The numerical and experimental results demonstrate the proposed method’s advantages in detecting and localizing minor damage. Moreover, this method is applicable to distributed sensor monitoring systems.

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Cardiovascular Response to Intravenous Glucose Injection during Hemodialysis with Assessment of Entropy Alterations

Cited by 3 publications

References 44 publications

Comparable Hemodilution with Hypertonic Glucose in Patients with and without Type-2 Diabetes Mellitus during Hemodialysis

Comparable Hemodilution with Hypertonic Glucose in Patients with and without Type-2 Diabetes Mellitus during Hemodialysis

Changes of Hemodynamic Parameters after Intradialytic Glucose Injection

Data-Driven Structural Health Monitoring: Leveraging Amplitude-Aware Permutation Entropy of Time Series Model Residuals for Nonlinear Damage Diagnosis

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