Prediction of individual response to antidepressants and antipsychotics: an integrated concept

In both clinical trials and daily practice, there can be substantial inter- and even intraindividual variability in response—whether beneficial or adverse—to antidepressants and antipsychotic medications. So far, no tools have become available to predict the outcome of these treatments in specific patients. This is because the causes of such variability are often not known, and when they are, there is no way of predicting the effects of their various potential combinations in an individual. Given this background, this paper presents a conceptual framework for understanding known factors and their combinations so that eventually clinicians can better predict what medication(s) to select and at what dose they can optimize the outcome for a given individual. This framework is flexible enough to be readily adaptable as new information becomes available. The causes of variation in patient response are grouped into four categories: (i) genetics; (ii) age; (iii) disease; and (iv) environment (internal). Four cases of increasing complexity are used to illustrate the applicability of this framework in a clinically relevant way In addition, this paper reviews tools that the clinician can use to assess for and quantify such inter- and intraindividual variability. With the information gained, treatment can be adjusted to compensate for such variability, in order to optimize outcome. Finally, the limitations of existing antidepressant and antipsychotic therapy and the way they reduce current ability to predict response is discussed.     

Rosiglitazone maleate + metformin hydrochloride extend: review of an emerging compound

Clinical practice guidelines from around the world have continued to highlight the importance of glycemic control in the prevention of diabetes complications. Despite the many tools available to achieve these targets, it remains a constant challenge for healthcare providers and patients alike. Rosiglitazone maleate + metformin hydrochloride extend is a new compound that has the advantage of the clinical experience and knowledge about the current version and the added benefit of being a once daily, single pill option. The existing version of rosiglitazone + metformin has been shown to effectively lower hemoglobin A1C, improve insulin sensitivity and minimize weight gain. It is expected that the new compound will also have similar features, with the added benefit of improved patient adherence given its once daily formulation.     

Opportunities for Improving Post-Hospital Home Medication Management Among Older Adults

SUMMARY

Effective post-hospital home medication management among older adults is a convoluted, error-prone process. Older adults, whose complex medication regimens are often changed at hospital discharge, are susceptible to medication-related problems (e.g., Adverse Drug Events or ADEs) as they resume responsibility for managing their medications at home. Human error theory frames the discussion of multi-faceted, interacting factors including care system functions, like discharge medication teaching that contribute to post-hospital ADEs. The taxonomy and causes of post-hospital ADEs and related risk factors are reviewed, as we describe in high-risk older adults a population that may benefit from targeted interventions. Potential solutions and future research possibilities highlight the importance of interdisciplinary teams, involvement of clinical pharmacists, use of transitional care models, and improved use of informational technologies.