Quetiapine Poisoning and Factors Influencing Severity

PURPOSE/BACKGROUND: Quetiapine is a relatively new atypical antipsychotic with fewer adverse effects. It is increasingly prescribed to patients. The purpose of this study was to describe the cases of poisoning observed at the western France Poison Control Centre and identify potential risk factors that increase the severity of the cases. METHODS: This was a retrospective study of self-poisoning with quetiapine as reported by the western France Poison Control Centre between 2007 and 2017. RESULTS: There were 372 cases of quetiapine poisoning. Circumstances are known in 367 of 372 cases. There were 75 cases of null severity (grade 0), 133 cases of mild severity (grade 1), 85 cases of moderate severity (grade 2), and 79 cases of high severity (grade 3). Five deaths were listed in this series. The most commonly observed symptoms were neurological and cardiovascular in nature (drowsiness, coma, tachycardia, hypotension). Of these cases, 79.8% included voluntary ingestions. Among 302 cases with coagents, the most common coagents were benzodiazepines (56%), other psychotropic drugs (41%), and antidepressants (37%). An evaluated ingested dose 1500 mg or greater and 2 or more coagents increase the risk of severe poisoning. In particular, concomitant ingestion of benzodiazepines and antidepressants with quetiapine was associated with high severity (odds ratio, 2.478 [confidence interval, 1.3-4.723]; odds ratio, 1.820 [confidence interval, 1.010-3.316]). CONCLUSIONS: Quetiapine may lead to severe poisoning for which there is currently no specific treatment. Patients and practitioners should be aware of this when quetiapine is prescribed, particularly when used in combination with other medications, and in order to deal with cases of poisoning

A special purpose multi-criteria heuristic function for a single machine scheduling problem with forward dynamic programming

Sequencing is one of the major research areas in increasing manufacturing productivity. In case of multiple items to be manufactured using multiple processes, complex sequencing may also be considered as a queuing problem where the products are processed with respect to the priorities which can be developed by static and dynamic fashion depending on nature of the problem. In this paper, a dynamic priority approach is incorporated for a group-based single machine scheduling problem using multi-criteria decision-making technique regarding setup times and machine utilization. After running the model, sequences of groups are obtained and schedule is developed with respect to priorities. Results are satisfactory as compared to random process and existing implementation within the company