The Port Clearance Test: Why It Is Important to Clinicians

2014 ◽  
Vol 19 (1) ◽  
pp. 42-46 ◽  
Author(s):  
Michael Dalton ◽  
Natan Pheil ◽  
Jim Lacy ◽  
Jordan Dalton
Keyword(s):  
Flow Rate ◽  
Cumulative Volume ◽  
Flushing Rates ◽  
The Relationship ◽  
Clearance Test

Abstract Understanding proper chamber flushing volume for each port manufacturer and port chamber shape is of value to both clinicians and patients. Failing to follow adequate flushing volumes may lead to sludge buildup and further complications. By sampling the chamber flushing volume of ports of various shapes from different manufacturers, we were able to assess cumulative volume flushing rates using a mixture approximating the viscosity of blood. The data collected highlight the relationship between chamber shape, flushing volume, and flow rate and why it is important that manufacturers recommend adequate flushing volumes specific to each port.

scholarly journals Neural network-based modeling of the number of microbubbles generated with four circulation factors in cardiopulmonary bypass

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Satoshi Miyamoto ◽  
Zu Soh ◽  
Shigeyuki Okahara ◽  
Akira Furui ◽  
Taiichi Takasaki ◽  
...  
Keyword(s):  
Cardiopulmonary Bypass ◽  
Flow Rate ◽  
Neurological Complications ◽  
Estimation Accuracy ◽  
Model Parameters ◽  
Perfusion Flow ◽  
Postsurgical Complication ◽  
Tenfold Cross Validation ◽  
Suction Flow ◽  
The Relationship

AbstractThe need for the estimation of the number of microbubbles (MBs) in cardiopulmonary bypass surgery has been recognized among surgeons to avoid postoperative neurological complications. MBs that exceed the diameter of human capillaries may cause endothelial disruption as well as microvascular obstructions that block posterior capillary blood flow. In this paper, we analyzed the relationship between the number of microbubbles generated and four circulation factors, i.e., intraoperative suction flow rate, venous reservoir level, continuous blood viscosity and perfusion flow rate in cardiopulmonary bypass, and proposed a neural-networked model to estimate the number of microbubbles with the factors. Model parameters were determined in a machine-learning manner using experimental data with bovine blood as the perfusate. The estimation accuracy of the model, assessed by tenfold cross-validation, demonstrated that the number of MBs can be estimated with a determinant coefficient R2 = 0.9328 (p < 0.001). A significant increase in the residual error was found when each of four factors was excluded from the contributory variables. The study demonstrated the importance of four circulation factors in the prediction of the number of MBs and its capacity to eliminate potential postsurgical complication risks.

An improvement to the ANN-enhanced flow rating method

2021 ◽  
Author(s):  
Bernhard Schmid
Keyword(s):  
Neural Network ◽  
Electrical Conductivity ◽  
Water Resources ◽  
Flow Rate ◽  
Major Ions ◽  
Rate Of Change ◽  
Data Set ◽  
Input Variables ◽  
Relationship Of ◽  
The Relationship

&lt;p&gt;The work reported here builds upon a previous pilot study by the author on ANN-enhanced flow rating (Schmid, 2020), which explored the use of electrical conductivity (EC) in addition to stage to obtain &amp;#8216;better&amp;#8217;, i.e. more accurate and robust, estimates of streamflow. The inclusion of EC has an advantage, when the relationship of EC versus flow rate is not chemostatic in character. In the majority of cases, EC is, indeed, not chemostatic, but tends to decrease with increasing discharge (so-called dilution behaviour), as reported by e.g. Moatar et al. (2017), Weijs et al. (2013) and Tunqui Neira et al.(2020). This is also in line with this author&amp;#8217;s experience.&lt;/p&gt;&lt;p&gt;The research presented here takes the neural network based approach one major step further and incorporates the temporal rate of change in stage and the direction of change in EC among the input variables (which, thus, comprise stage, EC, change in stage and direction of change in EC). Consequently, there are now 4 input variables in total employed as predictors of flow rate. Information on the temporal changes in both flow rate and EC helps the Artificial Neural Network (ANN) characterize hysteretic behaviour, with EC assuming different values for falling and rising flow rate, respectively, as described, for instance, by Singley et al. (2017).&lt;/p&gt;&lt;p&gt;The ANN employed is of the Multilayer Perceptron (MLP) type, with stage, EC, change in stage and direction of change in EC of the M&amp;#246;dling data set (Schmid, 2020) as input variables. Summarising the stream characteristics, the M&amp;#246;dling brook can be described as a small Austrian stream with a catchment of fairly mixed composition (forests, agricultural and urbanized areas). The relationship of EC versus flow reflects dilution behaviour. Neural network configuration 4-5-1 (the 4 input variables mentioned above, 5 hidden nodes and discharge as the single output) with learning rate 0.05 and momentum 0.15 was found to perform best, with testing average RMSE (root mean square error) of the scaled output after 100,000 epochs amounting to 0.0138 as compared to 0.0216 for the (best performing) 2-5-1 MLP with stage and EC as inputs only. &amp;#160;&amp;#160;&amp;#160;&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;References&lt;/p&gt;&lt;p&gt;Moatar, F., Abbott, B.W., Minaudo, C., Curie, F. and Pinay, G.: Elemental properties, hydrology, and biology interact to shape concentration-discharge curves for carbon, nutrients, sediment and major ions. Water Resources Res., 53, 1270-1287, 2017.&lt;/p&gt;&lt;p&gt;Schmid, B.H.: Enhanced flow rating using neural networks with water stage and electrical conductivity as predictors. EGU2020-1804, EGU General Assembly 2020.&lt;/p&gt;&lt;p&gt;Singley, J.G., Wlostowski, A.N., Bergstrom, A.J., Sokol, E.R., Torrens, C.L., Jaros, C., Wilson, C.,E., Hendrickson, P.J. and Gooseff, M.N.: Characterizing hyporheic exchange processes using high-frequency electrical conductivity-discharge relationships on subhourly to interannual timescales. Water Resources Res. 53, 4124-4141, 2017.&lt;/p&gt;&lt;p&gt;Tunqui Neira, J.M., Andr&amp;#233;assian, V., Tallec, G. and Mouchel, J.-M.: A two-sided affine power scaling relationship to represent the concentration-discharge relationship. Hydrol. Earth Syst. Sci. 24, 1823-1830, 2020.&lt;/p&gt;&lt;p&gt;Weijs, S.V., Mutzner, R. and Parlange, M.B.: Could electrical conductivity replace water level in rating curves for alpine streams? Water Resources Research 49, 343-351, 2013.&lt;/p&gt;

Interaction between CO2 concentration and flow rate on peripheral airway resistance

1991 ◽  
Vol 70 (6) ◽  
pp. 2514-2521 ◽  
Author(s):  
A. Kaise ◽  
A. N. Freed ◽  
W. Mitzner
Keyword(s):  
Flow Rate ◽  
Airway Resistance ◽  
Co2 Concentration ◽  
Low Flow ◽  
Flow Rates ◽  
Peripheral Airway ◽  
Residual Capacity ◽  
Local Ventilation ◽  
End Tidal ◽  
The Relationship

In the present study, we investigated the interaction between CO2 concentration and rate of delivered flow on peripheral airway resistance (Rp) in the intact canine lung. Dogs were anesthetized, intubated, paralyzed, and mechanically ventilated with room air to maintain end-tidal CO2 between 4.8 and 5.2%. Using a wedged bronchoscope technique, we measured Rp at functional residual capacity. The relationship between CO2 concentration and Rp was measured at flow rates of 100 and 400 ml/min with 5, 3, 2, 1, and 0% CO2 in air. Measurements were made at the end of a 3-min exposure to each gas. At low flow rates (100 ml/min) responses to hypocapnia were small, whereas at high flow rates (400 ml/min) responses were large. The PC50 (defined as the CO2 concentration required to produce a 50% increase in Rp above baseline Rp established on 5% CO2) at 400 ml/min (1.73%) was significantly larger than that at 100 ml/min (0.38%). We also directly measured the relationship between Rp and flow rate with 5% CO2 (normocapnia) or 1% CO2 (hypocapnia) delivered into the wedged segment. Increases in normocapnic flow caused small but significant decreases in Rp. In contrast, increases in hypocapnic flow from 100 to 400 ml/min caused a 108% increase in Rp. Thus the response to hypocapnia is augmented by increasing flow rate. This interaction can be explained by a simple model that considers the effect of local ventilation-perfusion ratio and gas mixing on the local CO2 concentration at the site of peripheral airway contraction.

Flow Field in the Tip Gap of a Planar Cascade of Turbine Blades

1989 ◽  
Vol 111 (3) ◽  
pp. 276-283 ◽  
Author(s):  
M. Yaras ◽  
Yingkang Zhu ◽  
S. A. Sjolander
Keyword(s):  
Mass Flow Rate ◽  
Mass Flow ◽  
Flow Rate ◽  
Pressure Difference ◽  
Good Accuracy ◽  
Flow Direction ◽  
Turbine Blades ◽  
Rate Distribution ◽  
Velocity Magnitude ◽  
The Relationship

Measurements are presented for the flow in the tip gap of a planar cascade of turbine blades. Three clearances of from 2.0 to 3.2 percent of the blade chord were considered. Detailed surveys of the velocity magnitude, flow direction, and total pressure within the gap were supplemented by blade surface and endwall static pressure measurements. The results help to clarify the relationship between the leakage mass flow rate distribution and the driving pressure differences. It was found that even for the present relatively large clearances, fluid near the endwall experiences a pressure difference that is comparable with the blade pressure difference. It is also shown that a simple model can predict with good accuracy the mass flow rate distribution and the magnitude and direction of the velocity vectors within the gap.

A preliminary investigation of the freshwater red algae in streams of southern Ontario, Canada

1980 ◽  
Vol 58 (11) ◽  
pp. 1295-1318 ◽  
Author(s):  
Robert G. Sheath ◽  
Beverly J. Hymes
Keyword(s):  
Flow Rate ◽  
Red Algae ◽  
Preliminary Investigation ◽  
Average Flow Rate ◽  
Southern Ontario ◽  
Average Flow ◽  
Cell Organization ◽  
Conductivity Range ◽  
Freshwater Red Algae ◽  
The Relationship

Ten taxa of freshwater red algae have been observed in a survey of 62 streams and rivers within southern Ontario, Canada, over a period of 3 years. Five species are additions to the flora of Canada, Chroodactylon ramosum, Boldia erythrosiphon, Sirodotia tenuissima, Batrachospermum densum, and B. ectocarpum. In addition to these algae, Audouinella violacea, Sirodotia suecia, and Tuomeya fluviatilis are new observations within Ontario.Most of the Ontario red algae are restricted to streams or rivers with a minimum average flow rate of 10 m min−1. Audouinella violacea, B. moniliforme, and Lemanea fucina occur in a large number of streams which have a wide pH and conductivity range whereas S. tenuissima and B. ectocarpum are confined to one of the sites examined.Ultrastructural findings are reported concerning the cell organization of Boldia as well as the relationship between Batrachospermum plants and the "chantransia" stage. A key to the 10 taxa is included plus descriptions and a list of epiphytes of each alga are presented.

Relationship between spontaneous dyspnoea and lability of airway obstruction in asthma

1992 ◽  
Vol 82 (6) ◽  
pp. 717-724 ◽  
Author(s):  
C. Peiffer ◽  
M. Toumi ◽  
H. Razzouk ◽  
J. Marsac ◽  
A. Lockhart
Keyword(s):  
Visual Analogue Scale ◽  
Airway Obstruction ◽  
Peak Expiratory Flow ◽  
Flow Rate ◽  
Peak Expiratory Flow Rate ◽  
Analogue Scale ◽  
Forced Expiratory Volume ◽  
Bronchial Responsiveness ◽  
Expiratory Flow ◽  
The Relationship

1. As marked lability of bronchial obstruction is a risk factor for asthma severity, it may influence dyspnoea, the most common subjective complaint in asthma. We therefore studied the relationship between spontaneous dyspnoea and the degree of bronchial lability, as assessed by the daily variability in peak expiratory flow rate and the bronchial responsiveness to either carbachol or salbutamol, in 33 stable symptomatic asthmatic patients. 2. Three times daily, for 10 consecutive days, the patients rated the intensity of their dyspnoea on a visual analogue scale and immediately afterwards recorded their peak expiratory flow rate. Within the next 5 days, we determined the bronchial response by measuring the forced expiratory volume in 1 s and the specific resistance of airways to either carbachol or salbutamol according to baseline airway obstruction. 3. We characterized dyspnoea for each patient by using two parameters: (1) the relationship with underlying airway obstruction, as assessed by the correlation coefficient r between dyspnoea scores and corresponding values of peak expiratory flow rate (r DSc-PEFR), and (2) the intensity, as assessed by the mean visual analogue scale dyspnoea score adjusted for comparable airway obstruction. Bronchial lability was characterized by (1) variability in mean daily peak expiratory flow rate and (2) bronchial responsiveness to either carbachol (as assessed by the threshold dose and the slope of the dose-response curve) or salbutamol (as assessed by the threshold dose and maximal response). We assessed the relationship between dyspnoea and bronchial lability by correlating each of their respective characteristics. 4. We found large inter-subject differences in both characteristics of dyspnoea, r DSc-PEFR was unrelated to variability in mean daily peak expiratory flow rate and to all characteristics of bronchial responsiveness used, except for maximal salbutamol-induced increase in forced expiratory volume in 1 s (as a percentage of predicted). Adjusted visual analogue scale dyspnoea scores were unrelated to all characteristics of bronchial lability. 5. Our results suggest that spontaneous dyspnoea, as characterized by its intensity at comparable levels of airway obstruction and by its relationship with underlying airway obstruction, is poorly related to the degree of bronchial lability in stable symptomatic asthmatic patients.

Peak Flow Rate During Induced Cough: A Predictor of Successful Decannulation of a Tracheotomy Tube in Neurosurgical Patients

2010 ◽  
Vol 19 (3) ◽  
pp. 278-284 ◽  
Author(s):  
Linda Y. Y. Chan ◽  
Alice Y. M. Jones ◽  
Raymond C. K. Chung ◽  
K. N. Hung
Keyword(s):  
Flow Rate ◽  
Operating Characteristic ◽  
Peak Flow ◽  
Characteristic Curve ◽  
Peak Flow Rate ◽  
Tracheotomy Tube ◽  
Optimal Cutoff ◽  
Neurosurgical Patients ◽  
Optimal Cutoff Point ◽  
The Relationship

Background An accurate predictor of successful decannulation in neurosurgical patients that indicates the best time for tracheotomy decannulation would minimize the risks of continued cannulation and unsuccessful decannulation. Objective To determine whether the peak flow rate during induced cough is an appropriate predictor of successful decannulation. Methods A total of 32 neurosurgical patients with a tracheotomy were enrolled. The highest peak expiratory flow rate during 3 induced coughs, the total volume of tracheal secretions collected in 6 hours, and scores on the Glasgow Coma Scale were recorded. Logistic regression analysis was applied to determine the relationship between these variables and successful decannulation (reintubation not required within 72 hours). Results Decannulation was attempted in 23 of 32 patients. The remaining 9 patients were considered clinically inappropriate for the procedure. Of the 23 patients decannulated, 2 required reinsertion of the tracheotomy tube. Analysis revealed that peak flow rate during induced cough (odds ratio, 1.12; 95% confidence interval, 1.02–1.23) was independently associated with successful decannulation (accuracy, 75%; sensitivity, 85.7%; specificity, 54.5%). The receiver operating characteristic curve indicated an optimal cutoff point of 29 L/min. Conclusion Measurement of peak flow rate during induced cough is a simple and reproducible intervention that improves predictability of successful decannulation in patients with tracheotomy.

scholarly journals Surface Response Based Modeling of Liposome Characteristics in a Periodic Disturbance Mixer

Micromachines ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 235 ◽  
Author(s):  
Rubén R. López ◽  
Ixchel Ocampo ◽  
Luz-María Sánchez ◽  
Anas Alazzam ◽  
Karl-F. Bergeron ◽  
...  
Keyword(s):  
Zeta Potential ◽  
Flow Rate ◽  
Size Range ◽  
Physicochemical Characteristics ◽  
Flow Rate Ratio ◽  
Total Flow ◽  
Experimental Conditions ◽  
Periodic Disturbance ◽  
Liposome Size ◽  
The Relationship

Liposomes nanoparticles (LNPs) are vesicles that encapsulate drugs, genes, and imaging labels for advanced delivery applications. Control and tuning liposome physicochemical characteristics such as size, size distribution, and zeta potential are crucial for their functionality. Liposome production using micromixers has shown better control over liposome characteristics compared with classical approaches. In this work, we used our own designed and fabricated Periodic Disturbance Micromixer (PDM). We used Design of Experiments (DoE) and Response Surface Methodology (RSM) to statistically model the relationship between the Total Flow Rate (TFR) and Flow Rate Ratio (FRR) and the resulting liposomes physicochemical characteristics. TFR and FRR effectively control liposome size in the range from 52 nm to 200 nm. In contrast, no significant effect was observed for the TFR on the liposomes Polydispersity Index (PDI); conversely, FRR around 2.6 was found to be a threshold between highly monodisperse and low polydispersed populations. Moreover, it was shown that the zeta potential is independent of TFR and FRR. The developed model presented on the paper enables to pre-establish the experimental conditions under which LNPs would likely be produced within a specified size range. Hence, the model utility was demonstrated by showing that LNPs were produced under such conditions.

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