Antiepileptic drugs’ tolerability and safety – a systematic review and meta-analysis of adverse effects in dogs

<p>Various anti-epileptic drugs (AEDs) are used for the management of idiopathic epilepsy (IE) in dogs. Their safety profile is an important consideration for regulatory bodies, owners and prescribing clinicians. However, information on their adverse effects still remains limited with most of it derived from non-blinded non-randomized uncontrolled trials and case reports.</p><p><span>This poster won third place, which was presented at the Veterinary Evidence Today conference, Edinburgh November 1-3, 2016. </span></p><br /> <img src="https://www.veterinaryevidence.org/rcvskmod/icons/oa-icon.jpg" alt="Open Access" /

Closing the Loop

Background Two widely used artificial pancreas (AP) control algorithms are the model predictive control (MPC) and the proportional integral derivative (PID) algorithms. Numerous studies across different settings have used both algorithms with positive results, but there has never been a randomized clinical trial directly comparing the effectiveness of each. This study aimed to compare individual-personalized MPC and PID controls under nonideal but comparable clinical conditions. Methods After a pilot safety and feasibility study (n= 10), closed-loop control (CLC) was conducted and evaluated in a randomized, crossover trial that included 20 additional adults with type 1 diabetes. Both the MPC and PID algorithms were compared during supervised 27.5 hour CLC sessions. The algorithms were tested by evaluating control performance following a 65 g dinner, 50 g breakfast, and unannounced..