Changes in Steady State Digoxin Pharmacokinetics during Quinidine Therapy in Cardiac Patients: Influence of Plasma Quinidine Concentration

2009 ◽  
Vol 52 (5) ◽  
pp. 357-363 ◽  
Author(s):  
Knud Erik Pedersen ◽  
Bent Dorff Christiansen ◽  
Niels Anders Klitgaard ◽  
Folmer Nielsen-Kudsk
Keyword(s):  
Steady State ◽  
Cardiac Patients ◽  
Digoxin Pharmacokinetics ◽  
Quinidine Concentration

Steady-state serum levels of quinidine and active metabolites in cardiac patients with varying degrees of renal function

1978 ◽  
Vol 24 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Dennis E. Drayer ◽  
David T. Lowenthal ◽  
Kathleen M. Restivo ◽  
Allan Schwartz ◽  
Clarence E. Cook ◽  
...  
Keyword(s):  
Renal Function ◽  
Steady State ◽  
Serum Levels ◽  
Cardiac Patients ◽  
Active Metabolites ◽  
Steady State Serum

VENTILATORY THRESHOLD ESTABLISHES THE MAXIMAL CARDIOVASCULAR STEADY-STATE FOR EXERCISING CARDIAC PATIENTS

1999 ◽  
Vol 31 (Supplement) ◽  
pp. S40
Author(s):  
S. Melvin ◽  
W. G. Herbert ◽  
L. Pierson ◽  
P. Griffith ◽  
J. Cook ◽  
...  
Keyword(s):  
Steady State ◽  
Ventilatory Threshold ◽  
Cardiac Patients

Resting arteriovenous oxygen difference and exercise cardiac output

1962 ◽  
Vol 17 (6) ◽  
pp. 922-926 ◽  
Author(s):  
H. Duke Thomas ◽  
Carlos Gaos ◽  
T. J. Reeves
Keyword(s):  
Cardiac Output ◽  
Oxygen Consumption ◽  
Steady State ◽  
Cardiac Index ◽  
Normal Subjects ◽  
Regression Equation ◽  
Cardiac Patients ◽  
Oxygen Difference

Measurements of the cardiac output utilizing the classical Fick method were carried out in 38 cardiac patients at rest and during exercise. The predicted cardiac output during exercise was calculated by the regression equation derived by Donald et al. ( Clin. Sci. 14: 37, 1955), relating cardiac output to oxygen consumption during the steady state of exercise in normal subjects (cardiac index = 3.708 + 0.00534 x O2 consumption, ml/min m2). The resting arteriovenous oxygen difference was found to correlate much better with the calculated percentage of predicted cardiac index during exercise (γ = 0.547) than did the resting cardiac index (γ = 0.304). The finding of an arteriovenous oxygen difference greater than 5.16 ml/100 cc indicated a strong probability of subnormal cardiac index during exercise relative to the oxygen consumption. Submitted on June 18, 1962

Studies on Water in the Hydration Chamber of a Modified Electron Microscope

1970 ◽  
Vol 28 ◽  
pp. 544-545
Author(s):  
R. C. Moretz ◽  
G. G. Hausner ◽  
D. F. Parsons
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Electron Microscope ◽  
Steady State ◽  
Room Temperature ◽  
Small Mass ◽  
Equilibrium Pressure ◽  
Biological Objects ◽  
Mechanical Pump ◽  
Differential Pumping

Use of the electron microscope to examine wet objects is possible due to the small mass thickness of the equilibrium pressure of water vapor at room temperature. Previous attempts to examine hydrated biological objects and water itself used a chamber consisting of two small apertures sealed by two thin films. Extensive work in our laboratory showed that such films have an 80% failure rate when wet. Using the principle of differential pumping of the microscope column, we can use open apertures in place of thin film windows.Fig. 1 shows the modified Siemens la specimen chamber with the connections to the water supply and the auxiliary pumping station. A mechanical pump is connected to the vapor supply via a 100μ aperture to maintain steady-state conditions.

Continuous hydrogenolysis of acetal-stabilized lignin in flow

2021 ◽  
Author(s):  
Wu Lan ◽  
Yuan Peng Du ◽  
Songlan Sun ◽  
Jean Behaghel de Bueren ◽  
Florent Héroguel ◽  
...  
Keyword(s):  
Steady State ◽  
Challenges And Opportunities

We performed a steady state high-yielding depolymerization of soluble acetal-stabilized lignin in flow, which offered a window into challenges and opportunities that will be faced when continuously processing this feedstock.

Network reconstruction based on steady-state data

2008 ◽  
Vol 45 ◽  
pp. 161-176 ◽  
Author(s):  
Eduardo D. Sontag
Keyword(s):  
Steady State ◽  
Reverse Engineering ◽  
Theoretical Method ◽  
Network Reconstruction ◽  
Quasi Steady State ◽  
State Data

This paper discusses a theoretical method for the “reverse engineering” of networks based solely on steady-state (and quasi-steady-state) data.

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