Polymerase chain reaction (PCR) testing for the detection of C. difficile is a highly sensitive test. Some clinical laboratories have included a 2-step testing algorithm utilizing PCR plus toxin enzyme immunoassays (EIAs) to increase specificity.

To determine the risk factors and outcomes of C. difficile PCR-positive/toxin-positive encounters compared to PCR-positive/toxin-negative encounters.

Retrospective study.

A Veterans’ Affairs hospital.

A retrospective case–control study of patient encounters with a positive C. difficile test by PCR and either a toxin EIA–positive assay (ie, cases) or toxin EIA–negative assay (ie, controls). Clinically relevant exposures and risk factors were determined to assess CDI recurrence at 30 days. Available encounter stool specimens were cultured for C. difficile and were subjected to restriction endonuclease analysis (REA) strain typing.

Among 130 C. difficile PCR-positive patient encounters, 80 (61.5%) were toxin EIA negative and 50 (38.5%) were toxin EIA positive. Encounters that were toxin positive were more frequently treated (96.0%) compared to toxin-negative encounters (71.3%; P < .01). A multivariable logistic regression model revealed that toxin-negative encounters were less likely to suffer a recurrent CDI episode within 30 days (odds ratio [OR], 0.20, 95% confidence interval [CI], 0.05–0.83). Additionally, a higher C. difficile PCR cycle threshold predicted a lower risk of CDI recurrence at 30 days. (OR, 0.82; 95% CI, 0.68–0.98). During the study period, the REA group Y strain accounted for most toxin-negative encounters (32.5%; P = .05), whereas REA group BI strain accounted for most toxin-positive encounters (24.3%; P = .02).

A testing strategy of PCR plus toxin EIA helped predict recurrent CDI.

High-quality cardiopulmonary resuscitation (CPR) is a fundamental intervention for cardiac arrest, yet health care providers rarely adhere to recommended guidelines. Real-time feedback improves CPR performance. It is currently unknown how Canadian emergency physicians assess CPR quality during cardiac arrest and if they use feedback devices. Our aim was to describe how emergency physicians assess CPR quality and to describe eventual barriers to implementation of feedback technology.

This was a cross-sectional survey that was distributed to attending and resident emergency physicians through the Canadian Association of Emergency Physicians. Responses were summarized and analyzed using descriptive statistics.

The response rate was 19% (323/1735). Visual observation was the most common method of assessing CPR quality (41.2%), with leaders standing at the foot of the bed (67.4%). This was followed by real-time pulse check (29.7%) and end-tidal CO2 values (21.7%). Only 12% of physicians utilized CPR feedback technology. The most common perceived barrier to utilization was unavailability, inexperience with devices and lack of guidelines/evidence for their use.

Most Canadian emergency physicians that responded to our survey, assess quality of CPR by standing at the foot of the bed and utilize visual observation and palpation methods which are known to be inaccurate. A minority utilize objective measurements such as ETCO2 or feedback devices, with the greatest barrier being lack of availability.

To determine the scope, source, and mode of transmission of a multifacility outbreak of extensively drug-resistant (XDR) Acinetobacter baumannii.

Outbreak investigation.

Residents and patients in skilled nursing facilities, long-term acute-care hospital, and acute-care hospitals.

A case was defined as the incident isolate from clinical or surveillance cultures of XDR Acinetobacter baumannii resistant to imipenem or meropenem and nonsusceptible to all but 1 or 2 antibiotic classes in a patient in an Oregon healthcare facility during January 2012–December 2014. We queried clinical laboratories, reviewed medical records, oversaw patient and environmental surveillance surveys at 2 facilities, and recommended interventions. Pulsed-field gel electrophoresis (PFGE) and molecular analysis were performed.

We identified 21 cases, highly related by PFGE or healthcare facility exposure. Overall, 17 patients (81%) were admitted to either long-term acute-care hospital A (n=8), or skilled nursing facility A (n=8), or both (n=1) prior to XDR A. baumannii isolation. Interfacility communication of patient or resident XDR status was not performed during transfer between facilities. The rare plasmid-encoded carbapenemase gene blaOXA-237 was present in 16 outbreak isolates. Contact precautions, chlorhexidine baths, enhanced environmental cleaning, and interfacility communication were implemented for cases to halt transmission.

Interfacility transmission of XDR A. baumannii carrying the rare blaOXA-237 was facilitated by transfer of affected patients without communication to receiving facilities.

Infect Control Hosp Epidemiol 2017;38:1335–1341

Bipolar disorder is a highly heritable polygenic disorder. Recent enrichment analyses suggest that there may be true risk variants for bipolar disorder in the expression quantitative trait loci (eQTL) in the brain.

We sought to assess the impact of eQTL variants on bipolar disorder risk by combining data from both bipolar disorder genome-wide association studies (GWAS) and brain eQTL.

To detect single nucleotide polymorphisms (SNPs) that influence expression levels of genes associated with bipolar disorder, we jointly analysed data from a bipolar disorder GWAS (7481 cases and 9250 controls) and a genome-wide brain (cortical) eQTL (193 healthy controls) using a Bayesian statistical method, with independent follow-up replications. The identified risk SNP was then further tested for association with hippocampal volume (n = 5775) and cognitive performance (n = 342) among healthy individuals.

Integrative analysis revealed a significant association between a brain eQTL rs6088662 on chromosome 20q11.22 and bipolar disorder (log Bayes factor = 5.48; bipolar disorder P = 5.85×10–5). Follow-up studies across multiple independent samples confirmed the association of the risk SNP (rs6088662) with gene expression and bipolar disorder susceptibility (P = 3.54×10–8). Further exploratory analysis revealed that rs6088662 is also associated with hippocampal volume and cognitive performance in healthy individuals.

Our findings suggest that 20q11.22 is likely a risk region for bipolar disorder; they also highlight the informative value of integrating functional annotation of genetic variants for gene expression in advancing our understanding of the biological basis underlying complex disorders, such as bipolar disorder.

To investigate the display of food at non-food store checkouts; and to classify foods by type and nutrient content, presence of price promotions and whether food was at child height.

Cross-sectional survey of checkout displays at non-food stores. Foods were classified as ‘less healthy’ or healthier using the UK Food Standards Agency’s Nutrient Profile Model. Written price promotions were recorded. Child height was defined as the sight line of an 11-year-old approximated from UK growth charts.

A large indoor shopping mall, Gateshead, UK, February–March 2014.

Two hundred and five out of 219 non-food stores in the shopping mall directory which were open for trading.

Thirty-two (15·6 %) of 205 non-food stores displayed food at the checkout. All displayed less healthy foods, and fourteen (43·8 %) had healthier foods. Overall, 5911 checkout foods were identified. Of these, 4763 (80·6 %) were ‘less healthy’. No fruits, vegetables, nuts or seeds were found. Of 4763 less healthy foods displayed, 195 (4·1 %) were subject to price promotions, compared with twelve of 1148 (1·0 %) healthier foods (χ2(df=1)=25·4, P<0·0001). There was no difference in the proportion of less healthy (95·1 %) and healthier (96·2 %) foods displayed at child height.

Almost one-sixth of non-food stores displayed checkout food, the majority of which was ‘less healthy’ and displayed at child height. Less healthy food was more likely to be subject to a written price promotion than healthier food. Further research into the drivers and consequences of checkout food in non-food stores is needed. Public health regulation may be warranted.

Although genetic epidemiological studies have confirmed increased rates of major depressive disorder among the relatives of people with bipolar affective disorder, no report has compared the clinical characteristics of depression between these two groups.

To compare clinical features of depressive episodes across participants with major depressive disorder and bipolar disorder from within bipolar disorder pedigrees, and assess the utility of a recently proposed probabilistic approach to distinguishing bipolar from unipolar depression. A secondary aim was to identify subgroups within the relatives with major depression potentially indicative of ‘genetic’ and ‘sporadic’ subgroups.

Patients with bipolar disorder types 1 and 2 (n = 246) and patients with major depressive disorder from bipolar pedigrees (n = 120) were assessed using the Diagnostic Interview for Genetic Studies. Logistic regression was used to identify distinguishing clinical features and assess the utility of the probabilistic approach. Hierarchical cluster analysis was used to identify subgroups within the major depressive disorder sample.

Bipolar depression was characterised by significantly higher rates of psychomotor retardation, difficulty thinking, early morning awakening, morning worsening and psychotic features. Depending on the threshold employed, the probabilistic approach yielded a positive predictive value ranging from 74% to 82%. Two clusters within the major depressive disorder sample were found, one of which demonstrated features characteristic of bipolar depression, suggesting a possible ‘genetic’ subgroup.

A number of previously identified clinical differences between unipolar and bipolar depression were confirmed among participants from within bipolar disorder pedigrees. Preliminary validation of the probabilistic approach in differentiating between unipolar and bipolar depression is consistent with dimensional distinctions between the two disorders and offers clinical utility in identifying patients who may warrant further assessment for bipolarity. The major depressive disorder clusters potentially reflect genetic and sporadic subgroups which, if replicated independently, might enable an improved phenotypic definition of underlying bipolarity in genetic analyses.