Aims: To describe correlations and agreement between salivary and serum B-type natriuretic peptide (BNP), C-reactive protein (CRP), interleukin (IL)-6, and IL-10 and determine which biomarkers predict worse functional class in patients with heart failure (HF). Methods: Serum and saliva were collected from 75 hospitalized patients with HF (57 + 12 years, 43% female, New York Heart Association [NYHA] Classes I [4%], II [43%], and III [53%]). Oral inflammation was rated as good, fair, or poor. Spearman's r and Bland-Altman were used to determine correlations and agreement of the salivary and serum forms of each biomarker. Logistic regressions were used to determine which biomarkers predicted worse NYHA functional class, controlling for depression, body mass index, smoking, and oral inflammation. Results: Median biomarker concentrations were as follows: BNP (serum 361 pg/ml, saliva 9 pg/ml), CRP (serum 13 ng/ml, saliva 25.6 ng/ml), IL-6 (serum 19.3 pg/ml, saliva 10.5 pg/ml), and IL-10 (serum 64.1 pg/ml, saliva 4.7 pg/ml). There was a moderate-to-strong correlation for serum-salivary CRP, weak correlation for serum-salivary IL-6, and no correlations for serum-salivary BNP and IL-10. The Bland-Altman test showed good salivaryserum agreement for all biomarkers, but as serum concentrations rose, salivary measures underestimated serum levels. Visible oral inflammation was the only predictor of worse NYHA class.

Depression and diabetes have been linked in a variety of ways, and the presence of depression in those with diabetes can negatively affect adherence to care recommendations. A sample of 201 participants with Type 2 Diabetes completed a cross-sectional survey that assessed depressive symptoms, adherence, self-efficacy, social support, and personal characteristics. Multiple regression analysis was used to test whether self-efficacy and social support mediate the relationship between depressive symptoms and adherence. The findings suggest complete mediation via self-efficacy and some types of social support. Intervening to bolster self-efficacy and social support may decrease the negative effect of depression on adherence.

Background: Nurse engagement in quality improvement (QI) improves health care quality and outcomes but is typically low in clinical settings. Purpose: An integrative review was conducted to identify facilitators and barriers of nurse engagement in QI. Methods: This integrative review was conducted using an electronic search of databases with search terms specific to nursing engagement in QI. The Johns Hopkins Nursing Evidence-Based Practice Evidence Level and Quality Guide was used to rate quality and level of evidence. Results: Nine articles met the criteria for review. Top barriers were leadership, education and training, resource constraints, data, culture, and time. Top facilitators were leadership, education and training, culture, mentors, and champions. Conclusion: High-quality literature exploring barriers and facilitators of nurse engagement in QI is lacking. Research is needed to examine the degree to which these barriers and facilitators impact engagement and how they can be addressed to increase it.