Evaluation of a combination of alfaxalone and methadone, with or without midazolam, for premedication in healthy dogs

Introduction: The study objective was to evaluate sedative and physiologic effects of midazolam associated with a combination of methadone and alfaxalone for IM premedication in dogs. Methods: Sixteen healthy dogs of various breeds, weighing 5–12 kg, classified ASA status I-II, randomly received a combination of 0.5 mg kg−1 of methadone and 1 mg kg−1 of alfaxalone with (MMA) or without (MA) 0.5 mg kg−1 of midazolam by IM injection. Quality of sedation was assessed at 10, 15, 20 and 25 minutes post-injection, by an observer blinded to treatment. Cardiovascular, respiratory variables and additional intravenous alfaxalone required for endotracheal intubation were recorded. Data were analyzed with mixed-effect linear model on rank or Mann-Whitney rank-sum test (p≤0.05). Results: There was no significant difference over time in heart rate, respiratory rate, systolic blood pressure, SpO2 and temperature between MA and MMA premedication. Sedation increased over time (p < 0.01), however dogs premedicated with MMA appeared significantly less sedated than dogs premedicated with MA at 15 (p=0.02), 20 (p=0.02) and 25 minutes (p=0.01) post-injection. This was substantiated by the fact that dogs premedicated with MMA were almost four times more likely to show delirium than those premedicated with MA (OR 3.95, CI 0.69-7.21, p=0.02). The amount of alfaxalone needed for intubation did not differ between treatments (p=0.92). Conclusion: Results suggest that adding midazolam to an IM combination of methadone and alfaxalone does not improve sedation scores or amount of agent needed for intubation in healthy dogs

Derivative pricing for a multi-curve extension of the Gaussian, exponentially quadratic short rate model

The recent financial crisis has led to so-called multi-curve models for the term structure. Here we study a multi-curve extension of short rate models where, in addition to the short rate itself, we introduce short rate spreads. In particular, we consider a Gaussian factor model where the short rate and the spreads are second order polynomials of Gaussian factor processes. This leads to an exponentially quadratic model class that is less well known than the exponentially affine class. In the latter class the factors enter linearly and for positivity one considers square root factor processes. While the square root factors in the affine class have more involved distributions, in the quadratic class the factors remain Gaussian and this leads to various advantages, in particular for derivative pricing. After some preliminaries on martingale modeling in the multi-curve setup, we concentrate on pricing of linear and optional derivatives. For linear derivatives, we exhibit an adjustment factor that allows one to pass from pre-crisis single curve values to the corresponding post-crisis multi-curve values

Associations of suffering with facets of health and well-being among working adults : longitudinal evidence from two samples

Bibliografia na końcu artykułuSuffering is an experiential state that every person encounters at one time or another, yet little is known about suffering and its consequences for the health and well‑being of nonclinical adult populations. In a pair of longitudinal studies, we used two waves of data from garment factory workers (Study 1 [T1: 2017, T2: 2019]: n = 344) and flight attendants (Study 2 [T1: 2017/2018, T2: 2020]: n = 1402) to examine the prospective associations of suffering with 16 outcomes across different domains of health and well‑being: physical health, health behavior, mental health, psychological well‑ being, character strengths, and social well‑being. The primary analysis involved a series of regression analyses in which each T2 outcome was regressed on overall suffering assessed at T1, adjusting for relevant sociodemographic characteristics and the baseline value (or close proxy) of the outcome assessed at T1. In Study 1, associations of overall suffering with worse subsequent health and well‑ being were limited to a single outcome on each of the domains of physical health and mental health. Overall suffering was more consistently related to worse subsequent health and well‑being in Study 2, with associations emerging for all but two outcomes. The pattern of findings for each study was largely similar when aspects of suffering were modeled individually, although associations for some aspects of suffering differed from those that emerged for overall suffering. Our findings suggest that suffering may have important implications for the health and well‑being of worker populations

Implications of return predictability for consumption dynamics and asset pricing

Two broad classes of consumption dynamics—long-run risks and rare disasters—have proven successful in explaining the equity premium puzzle when used in conjunction with recursive preferences. We show that bounds a-là Gallant, Hansen, and Tauchen that restrict the volatility of the stochastic discount factor by conditioning on a set of return predictors constitute a useful tool to discriminate between these alternative dynamics. In particular, we document that models that rely on rare disasters meet comfortably the bounds independently of the forecasting horizon and the asset returns used to construct the bounds. However, the specific nature of disasters is a relevant characteristic at the 1-year horizon: disasters that unfold over multiple years are more successful in meeting the predictors-based bounds than one-period disasters. Instead, at the 5-year horizon, the sole presence of disasters—even if one-period and permanent—is sufficient for the model to satisfy the bounds. Finally, the bounds point to multiple volatility components in consumption as a promising dimension for long-run risk models