Localized real time blood flow measurements

A novel method for real time, localized, flow measurements is applied to blood flow in human fingers. Results for arterial and venous flow in normal subjects and patients with abnormal blood circulation are presented. Effects of blood flow regulation by the autonomic nervous system have been observed. Stricture of the digital arteries could be clearly demonstrated in a patient with Raynaud's phenomenon. Experimental signals due to pulsatile flow in a model system can be simulated in a quantitative way. The calibration, however, depends on the actual spin-spin relaxation time and the shape of the pulsatile flow vs. time curve. Due to these limitations, the volume flow rate can be measured with a relative error of approximately +/- 25%.     

Evaluation of viscoelasticity measurements of human blood

The dependence on hematocrit of whole blood viscoelasticity must be considered in order to compare pathological blood samples to normal ones. If one wants to calculate the measured values to a standard hematocrit value, the hematocrit dependence for the pathological sample must be available. As the latter however is unknown, the same dependence is assumed for both normal and pathological blood samples. To prove the validity of this assumption, hematocrit dependence of random blood samples from different diseases (cerebral and coronary vascular and myocardial disorders) were investigated. A statistical analysis showed the assumption as invalid. Therefore, it will be recommended to evaluate pathological blood samples at the measured hematocrit.     

Preparation of CO2 from blood and protein-bound amino acid carboxyl groups for quantification and 13C-isotope measurements

Measurements of protein and amino acid metabolism in man using stable isotopes and selected ion monitoring gas chromatographic/mass spectrometric techniques are limited by the requirement of relatively high levels of labelling for adequate precision (greater than 0.05 at % excess). We describe here a means of extending the scope of such studies by measurement of lower levels of enrichment achieved in gaseous CO2 derived from whole blood or protein-bound amino acids following the administration of tracer amounts of appropriately labelled substrates. Construction and operation of a novel glass vacuum line required for this work are described in detail and specific applications relevant to clinical investigations are outlined. Measurements of both the total amount of CO2 and its 13C enrichment are performed in an isotope-ratio mass spectrometer which provides acceptable levels of accuracy and reproducibility for both measurements (+/- 0.1% and +/- 0.0001 at % excess respectively).     

Chemical kinetics measurements on the reaction between blood and ozone

The pseudofirst-order ozonization rate constant of whole bovine blood has been measured in comparison to that of free haemin. The free prosthetic group haemin (which has also the central iron atom in the oxidized form) shows k values in the range of 0.20-0.03 s(-1) while the haeme groups inside haemoglobin protein and contained in the whole blood sample show slightly lower k values, just in the range of 0.10-0.02 s(-1). It has been found that ozone even with whole blood reacts specifically with haemoglobin of the red cells because it is adsorbed selectively on the iron atoms of the haeme prosthetic groups of haemoglobin. The absorption implies the oxidation of the central iron atom of the haeme groups with formation of methaemoglobin followed by an oxidative fission of the haeme rings. The other blood components do not exert any significant protection to the reaction between ozone and haemoglobin, which appear extremely specific and selective like the reaction between CO or HCN and haemoglobin. By analogy with the behaviour of these other gases ozone may be classified as a blood poison. The results of this work are discussed in the frame of the risks connected to the ozonotherapy and autohaemotherapy involving the blood ozonization of human or animal subjects and the re-injection of ozonized blood into the bodies.     

Viscoelastic properties of blood studied through piezoresistance measurements

Piezoresistance describes the change of electrical resistance in a material undergoing deformation. Heterogeneous materials having different resistivities of dispersed and continuous matrix phases, such as blood (comprised of red and white blood cells and platelets suspended in plasma), can exhibit the piezoresistance effect. For an initially isotropic material, two independent intrinsic material coefficients, λ1 and λ2, would uniquely describe the piezoresistance phenomenon. Materials undergoing deformation affect a material's resistivity in two ways: (a) by introducing anisotropy in the material, which is characterized by λ1 and (b) by changing the volume density of the inclusions, which is associated with (1/3?λ1+λ2). In this paper, the piezoresistance effect in bovine blood samples is studied under oscillatory shear flow with a planar sensor rosette. The first piezoresistance coefficient, λ1, was measured at various frequencies and shear rates in the blood flow and compared with cos?δ (equal to G'/G*, where G' and G* are the storage and complex moduli, respectively), which reflects the degree of elasticity. The coefficient λ1 was found to have a trend similar to that of cos?δ under all conditions tested. Thus λ1 might potentially be used to characterize the viscoelastic properties of blood and the deformability of red blood cells, thus clarifying pathophysiology and facilitating diagnosis.     

Dehydroepiandrosterone (DHEA) measurements in cord blood

Antibodies to dehydroepiandrosterone (DHEA) can be generated by coupling DHEA to carrier proteins. This report describes the use of antibodies to three different DHEA-protein complexes for the measurement of DHEA in serum and cord plasma. Each of the three antibodies produces an assay with equivalent results in serum from adults and older children. However, with cord plasma samples, two of the antibodies detected much more cross-reacting material than was detected with the third antibody. In order to determine the basis for this discrepancy, a pool of cord plasma was extracted in a manner similar to that used in the assay procedure. The steroids in the extract were separated by chromatography on a Sephadex LH-20 column and individual fractions were assayed for DHEA with each of the antibodies. There were several peaks of cross-reacting material present in cord blood that were not present in comparable amounts in serum from adults. These results indicate that assays for DHEA need to be separately validated with samples from adults and from infants.     

Diabetes mellitus modeling and short-term prediction based on blood glucose measurements

Insulin-Dependent Diabetes Mellitus (IDDM) is a chronic disease characterized by the inability of the pancreas to produce sufficient amounts of insulin. Daily compensation of the deficiency requires 4-6 insulin injections to be taken daily, the aim of this insulin therapy being to maintain normoglycemia - i.e., a blood glucose level between 4 and 7 mmol/l. To determine the quantity and timing of these injections, various different approaches are used. Currently, mostly qualitative and semi-quantitative models and reasoning are used to design such a therapy. Here, an attempt is made to show how system identification and control may be used to estimate predictive quantitative models to be used in design of optimal insulin regimens.The system was divided into three subsystems, the insulin subsystem, the glucose subsystem and the insulin-glucose interaction. The insulin subsystem aims to describe the absorption of injected insulin from the subcutaneous depots and the glucose subsystem the absorption of glucose from the gut following a meal. These subsystems were modeled using compartment models and proposed models found in the literature. Several black-box models and grey-box models describing the insulin/glucose interaction were developed and analyzed. These models were fitted to real data monitored by an IDDM patient. Many difficulties were encountered, typical of biomedical systems: Non-uniform and scarce sampling, time-varying dynamics and severe nonlinearities were some of the difficulties encountered during the modeling. None of the proposed models were able to describe the system accurately in all aspects during all conditions. However, all the linear models shared some dynamics. Based on the estimated models, short-term blood glucose predictors for up to two-hour-ahead blood glucose prediction were designed. Furthermore, we explored the issues that arise when applying prediction theory and control to short-term blood glucose prediction.     

A newly designed oscillating viscometer for blood viscosity measurements

A newly designed type of oscillating viscometer is described. The viscometer consists of either a tube or a rod oscillating at a resonance frequency with amplitudes in the micro- and nanometer range. A fluid flowing through the tube or surrounding the rod damps the torsional oscillations. The increase in the damping depends on the viscosity of the fluid and is used to determine viscosity. It was found that viscosity measurements are feasible during blood flow. This new type of viscometer may be useful to the study of biophysical properties of blood at the wall surface during flow and give new insights into blood flow. The device allows direct viscosity measurement on blood directly as it is drawn from the vein through the tube without any anticoagulant.     

The analysis of blood velocity measurements by autoregressive modelling

Analysis of velocity disturbances arising in poststenotic flow is examined using the technique of autoregressive modeling. The essential elements of this method are described including relevant criteria for selecting the model order. Velocity data employed in the analysis are taken from in vivo measurements in the dog aorta, and the results indicate that the autoregressive method improves the resolution of coherent features in disturbed flow patterns. By applying homomorphic filtering to individual beats, the occurrence of organized structures convected from their origin in the shear layer is readily identified.     

Profile analysis of 24-hours measurements of blood pressure

A method is proposed for classifying subjects according to their convex, flat, or concave change patterns of 24-hours blood pressure measurements. To obtain such a classification is useful for detecting subjects who show abnormal change patterns and giving them appropriate medical treatments. Therefore, an appropriate statistic is proposed for detecting a systematic change along the time axis, as well as a statistic with its inverse characteristic appropriate for evaluating the noise variation. The method is based on the ratio of those two types of statistics; it is verified to work well on real data, giving a classification of subjects into four types of subgroups: extreme dipper, dipper, nondipper, and inverted dipper. It also suggests that there might be an ultra-extreme dipper subgroup.