Managing bipolar depression:a therapeutic challenge?

Most people with bipolar disorder first seek treatment for depressive rather than manic symptoms. However, effective management of bipolar depression remains a challenge. In this review, Celia Feetam highlights how bipolar depression differs from unipolar depression both in its characteristics and in the approach to its treatment. © 2011 John Wiley & Sons, Ltd.

Methicillin-resistant Staphylococcus aureus bacteremia:epidemiology, outcome, and laboratory characteristics in a tertiary referral center in the UK

Objective: To analyze the recent epidemiology of methicillin-resistant Staphylococcus aureus (MRSA) bacteremia in a UK tertiary referral center. Methods: We collected epidemiological and laboratory data on all cases of MRSA bacteremia from September 1, 2005 to December 31, 2007. Results: There were 195 clinically significant episodes. Most were hospital-acquired. Only one episode occurred in patients without a history of hospital admission in the previous 12 months. An intravascular device was the most common focus of infection (37%), with no identifiable source found in 35% of episodes. Twenty-eight percent of patients died within 30 days of bacteremia. Mortality was significantly higher in the absence of an identifiable focus. Failure to include an antibiotic active against MRSA in the empirical treatment was only significantly associated with death in patients showing signs of hemodynamic instability (p < 0.001). No isolates had a minimum inhibitory concentration to vancomycin above 1.5. mg/l and no heteroresistance to glycopeptide antibiotics (heteroresistant vancomycin-intermediate Staphylococcus aureus; hVISA) was detected. All isolates were sensitive to daptomycin, tigecycline, and linezolid. Conclusions: Despite improvement in infection control measures, medical devices remain the most common source of infection. Inappropriate empirical antibiotic usage is associated with a poor outcome in patients with signs of severe sepsis. Susceptibility to glycopeptides and newer antibiotics remains good. © 2010 International Society for Infectious Diseases.

Discovering biomarkers for antidepressant response:protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort

Background: Major Depressive Disorder (MDD) is among the most prevalent and disabling medical conditions worldwide. Identification of clinical and biological markers ("biomarkers") of treatment response could personalize clinical decisions and lead to better outcomes. This paper describes the aims, design, and methods of a discovery study of biomarkers in antidepressant treatment response, conducted by the Canadian Biomarker Integration Network in Depression (CAN-BIND). The CAN-BIND research program investigates and identifies biomarkers that help to predict outcomes in patients with MDD treated with antidepressant medication. The primary objective of this initial study (known as CAN-BIND-1) is to identify individual and integrated neuroimaging, electrophysiological, molecular, and clinical predictors of response to sequential antidepressant monotherapy and adjunctive therapy in MDD. Methods: CAN-BIND-1 is a multisite initiative involving 6 academic health centres working collaboratively with other universities and research centres. In the 16-week protocol, patients with MDD are treated with a first-line antidepressant (escitalopram 10-20 mg/d) that, if clinically warranted after eight weeks, is augmented with an evidence-based, add-on medication (aripiprazole 2-10 mg/d). Comprehensive datasets are obtained using clinical rating scales; behavioural, dimensional, and functioning/quality of life measures; neurocognitive testing; genomic, genetic, and proteomic profiling from blood samples; combined structural and functional magnetic resonance imaging; and electroencephalography. De-identified data from all sites are aggregated within a secure neuroinformatics platform for data integration, management, storage, and analyses. Statistical analyses will include multivariate and machine-learning techniques to identify predictors, moderators, and mediators of treatment response. Discussion: From June 2013 to February 2015, a cohort of 134 participants (85 outpatients with MDD and 49 healthy participants) has been evaluated at baseline. The clinical characteristics of this cohort are similar to other studies of MDD. Recruitment at all sites is ongoing to a target sample of 290 participants. CAN-BIND will identify biomarkers of treatment response in MDD through extensive clinical, molecular, and imaging assessments, in order to improve treatment practice and clinical outcomes. It will also create an innovative, robust platform and database for future research. Trial registration: ClinicalTrials.gov identifier NCT01655706. Registered July 27, 2012.