The results are of potential relevance to the field of phase tran

The results are of potential relevance to the field of phase transition

oxide electronics and further understanding of the transition mechanisms. (C) 2011 American Institute of Physics. [doi: 10.1063/1.3619806]“
“Introduction: Automatic pacing threshold (AT) testing with threshold trending and output adjustment may simplify follow-up and improve cardiac rhythm device longevity. The objective of this study was to evaluate the performance of a new right ventricular (RV) AT algorithm for implantable cardioverter defibrillators (ICDs) using RVcoil to Can evoked response sensing.

Method: Patients undergoing ICD, with or without cardiac resynchronization therapy device, implant, replacement, or upgrade were enrolled. A pulse generator emulator (Can) was temporarily placed in the device pocket. An external Rigosertib Cell Cycle inhibitor pacing system (Boston Scientific, St. Paul, MN, USA) with customized software was used for performing threshold tests and data acquisition. RV manual threshold and up to four AT tests using various pacing parameters were conducted. The threshold MK-4827 measurement and the capture detection performance of the RV AT tests were evaluated through comparison with visual examination of surface electrocardiogram.

Results:

Data from 43 patients were analyzed. A total of 158 AT tests were performed, in which 144 AT tests (91.1%) measured correct threshold values. No consecutive asystolic noncaptured beats were observed in any AT tests, and none of the AT tests resulted in incorrectly low threshold measurements. The difference between manual and AT measurements was -0.05 +/- 0.43 V. The accuracy for detecting capture and noncaptured beats were 95% and 99%, respectively.

Conclusion: The RVcoil to Can evoked response sensing

based RV AT algorithm can reliably measure pacing threshold for ICDs, including CRT-Ds. (PACE 2012; 35: 259-268)”
“Pharmacodynamic modeling has been increasingly used as a decision support tool to guide dosing regimen selection, both in the drug development and clinical Vorinostat mw settings. Killing by antimicrobial agents has been traditionally classified categorically as concentration-dependent (which would favor less fractionating regimens) or time-dependent (for which more frequent dosing is preferred). While intuitive and useful to explain empiric data, a more informative approach is necessary to provide a robust assessment of pharmacodynamic profiles in situations other than the extremes of the spectrum (e. g., agents which exhibit partial concentration-dependent killing). A quantitative approach to describe the interaction of an antimicrobial agent and a pathogen is proposed to fill this unmet need. A hypothetic antimicrobial agent with linear pharmacokinetics is used for illustrative purposes.

Comments are closed.