Left ventricular pressure, contractility and dP/dt(max) in nonclinical drug safety assessment studies.

Increasing or decreasing cardiac contractility is an undesirable property of drugs being developed for noncardiovascular indications. The International Conference on Harmonization (ICH) Topic S7A and S7B guidelines only require the assessment of heart rate, blood pressure and the electrocardiogram in nonclinical in vivo safety pharmacology studies. Assessment of drug effects on contractility is only suggested as an optional follow-up study. However, these nonclinical safety assessment studies can detect these effects if properly designed and conducted using appropriate instrumentation. Left ventricular dP/dt is the first derivative of left ventricular pressure, which is computed by software algorithms by using calculus. Its peak value, dP/dt(max), is a common, robust and sensitive indicator of changes in cardiac contractility if experimental parameters such as preload, afterload and heart rate are well controlled. In order to ensure accuracy and avoid errors in the measurement of contractility in experimental animals, the frequency response of the pressure sensing system and the sample rate of the data acquisition system must be optimized for the signal. For dogs, nonhuman primates, and normotensive rats, all important information in a left ventricular pressure signal can be captured with a system with a frequency response of 100 Hz. Although systems with much higher frequency response can be used to measure left ventricular pressure, the output of these devices must be filtered to allow no frequencies to be acquired that are higher than one-half the sample rate of the acquisition system. Stated conversely, the sample rate of the acquisition system must be at least 2× the highest frequency contained in the signal. Failure to follow these principals can lead to incorrect results due to measurement artifacts from high frequency noise, which could be present but not detectable by the investigator. This manuscript has been written for biologists who do not have advanced knowledge of physics and/or engineering and is therefore less technical and more simplified than what would be found in the engineering literature.

A comparison of mortality and cardiac biomarker response between three outbred stocks of Sprague Dawley rats treated with isoproterenol.

The authors compared the mortality and cardiac biomarker responses in three outbred stocks of Sprague Dawley rats (CD/IGS, Sasco, Harlan) treated with isoproterenol hydrochloride. Cardiac injury was confirmed by histologic evaluation, and increases in cardiac troponin I concentration in serum were measured by two methods. CD/IGS rats had a higher incidence and earlier mortality compared with Sasco or Harlan rats. Harlan rats had lower severity scores for cardiomyocyte degeneration/necrosis compared with the other stocks. Post-isoproterenol treatment cardiac troponin I concentrations were greater in CD/IGS and Sasco rats compared with Harlan rats. Concentrations of cardiac troponin T followed a similar pattern to that of cardiac troponin I in rats treated with isoproterenol. Myosin, light chain 3 concentrations increased in all rats treated with isoproterenol, but there was no difference between the three stocks in the magnitude or pattern of the dose response. Increases in fatty acid binding protein 3 concentrations were detected in only the highest dose group at the earliest timepoint postdose for all three stocks of rats. Results of these studies illustrate the need for investigators to recognize the potential differences in response between stocks of Sprague Dawley rats treated with cardiotoxicants or novel chemical entities.

Heartbeat dynamics in adrenergic blocker treated conscious beagle dogs.

INTRODUCTION: Adrenergic blockade as a treatment for chronic heart failure (CHF) has proved effective, but its pharmacological mechanism on CHF remains unclear. In the past two decades, studies on heart rate variability (HRV) have reported that CHF patients generally have a reduced temporal complexity in heart rate variability. On the other hand, adrenergic blockers have been shown to restore such complexity. Fractal analysis is a novel and efficient tool to explore the adrenergic blockade effect on HRV. This paper applies the detrended fluctuation analysis (DFA) and multifractal DFA (MF-DFA) methods in an attempt to understand the effect of adrenergic blockade on cardiac dynamics in conscious beagle dogs. METHODS: DFA and MF-DFA analysis are conducted on RR interval data generated from telemetry instrumented dogs receiving a combination of 15 mg/kg nadolol and 5 mg/kg phenoxybenzamine orally administered at the 22nd and 34th hour in a parallel design (n=12). All dogs had approximately 48 h of beat-to-beat heart rate measurements recorded in the left ventricle. Complexity measures for heartbeat series are compared between the blocker and vehicle group. We also compute traditional statistics for HRV and spectral parameters and examine their correlation with fractal analysis. RESULTS: When compared to the vehicle group, the adrenergic blocker group had: 1) longer RR intervals (p=0.02) and lower beat-to-beat variability (p=0.04); 2) decreased low frequency (LF) and high frequency (HF) power (p=0.03), and higher LF-to-HF ratio; 3) larger middle-range scaling exponents (p<0.01); 4) broader multifractal spectra (p=0.03) with higher dominant singularity indices (p=0.02). DISCUSSION: Our results show that 1) adrenergic blockade alters the sympathovagal balance; 2) adrenergic blockers enhance the complexity of the cardiac dynamics; 3) the adrenergic blockade effect on cardiac dynamics is primarily the attenuation of small fluctuations in RR intervals. Fractal analysis also has the potential to be applied to early QT diagnosis.

Statistical power analysis for hemodynamic cardiovascular safety pharmacology studies in beagle dogs.

INTRODUCTION: We studied the statistical power of a replicated Latin square design where eight animals each receive a vehicle control and three dose levels of a drug on four separate dosing days. Cardiovascular parameters evaluated in the study were systolic arterial pressure, diastolic arterial pressure, left ventricular heart rate, and dP/dt(max). METHODS: Observations were simulated based on historical data and drug response profiles from cardiovascular safety pharmacology studies conducted at Lilly Research Laboratories. Statistical analysis for treatment effects was performed using a linear mixed model. Monotonicity of dose response was examined using sequential linear trend tests based on ordinal spacing of dose levels. RESULTS: The replicated Latin square design for cardiovascular safety pharmacology studies is shown to have at least an 80% power of detecting changes from control of at least a 10% increment in systolic and diastolic pressure and a 15% increment in heart rate and dP/dt(max). The power is not sensitive to the shape of dose response profile over time. DISCUSSION: Several unique features of our statistical power evaluation include the comparison of different covariance structures and drug response profiles. The procedure can also be applied to future power evaluations of other cardiovascular parameters, such as the QT interval, and the loss of statistical power due to missing observations.