Evaluation of cardiac fibrosis and subclinical cardiac changes in children with sickle cell disease using magnetic resonance imaging, echocardiography, and serum galectin-3.

BACKGROUND: Myocardial fibrosis has recently been proposed as one of the contributing factors to the diverse pathogenicity of cardiomyopathy in sickle cell disease. OBJECTIVE: In this study, cardiac fibrosis and subclinical cardiac changes in children with sickle cell disease were evaluated using cardiac magnetic resonance imaging (MRI), tissue Doppler echocardiography and serum galectin-3. MATERIALS AND METHODS: The study included 34 children with sickle cell disease who were compared with a similar number of healthy controls. Cardiac MRI was used to evaluate late gadolinium enhancement, native T1 mapping, extracellular volume, and T2* for estimation of iron load. Cardiac function and myocardial performance index (MPI, evaluated by tissue Doppler echocardiography) and serum galectin-3 were compared to controls. RESULTS: The mean age of the included patients was 13.3 ± 3.2 years. Myocardial iron load by T2* was normal. The mean level of extracellular volume (35.41 ± 5.02%) was significantly associated with the frequency of vaso-occlusive crises (P = 0.017) and negatively correlated with hemoglobin levels (P = 0.005). Galectin-3 levels were significantly higher among cases than controls (P = 0.00), at a cutoff value on the receiver operating characteristic curve of 6.5 ng/ml, sensitivity of 82.5% and specificity of 72.8%. The extracellular volume was significantly higher in cases, with a MPI > 0.4. CONCLUSION: Diffuse interstitial myocardial fibrosis can be detected early in children with sickle cell disease using T1 mapping and is associated with a high frequency of vaso-occlusive crisis. MPI of the left ventricle and serum galectin-3 are recommended screening tools for subclinical cardiac abnormalities.

What explains very poor Yelp reviews of oral and maxillofacial surgeons in private practice?

OBJECTIVE: Websites that maintain online physician ratings, such as Yelp.com, have been growing in popularity throughout the United States. The purpose of this study was to determine which factors increase the risk for very poor reviews (1 out of 5 stars) on Yelp.com for oral and maxillofacial surgeons (OMSs) in private practice. STUDY DESIGN: A retrospective cohort study was conducted using data on OMSs from Yelp.com. Predictor variables included clinician characteristics, practice characteristics, and review characteristics. The primary outcome variable was a very poor review. Logistic regression was used to determine risk factors for a very poor review. RESULTS: The final sample consisted of 3802 reviews. Relative to male clinicians, female clinicians were 2.7 times (P < .01) more likely to receive a very poor review. Clinicians who completed residency during the 1970s were over 4.5 times (P < .01) more likely to receive a very poor review relative to clinicians who completed residency during the 2010s. Relative to clinical reviews, nonclinical reviews were more likely (odds ratio = 2.6, P < .01) to be very poor and clinical and nonclinical reviews were less likely (odds ration = 0.5, P < .01) to be very poor. CONCLUSIONS: Nonclinical reviews were more likely to be very poor relative to clinical reviews. Several clinician factors, including female sex and completing OMS residency during the 1970s, were risk factors for receiving a very poor review.

Disengagement from mental health services. A literature review.

This paper reviews the literature on disengagement from mental health services examining how the terms engagement and disengagement are defined, what proportion of patients disengage from services, and what sociodemographic variables predict disengagement. Both engagement and disengagement appear to be poorly conceptualised, with a lack of consensus on accepted and agreed definitions. Rates of disengagement from mental health services vary from 4 to 46%, depending on the study setting, service type and definition of engagement used. Sociodemographic and clinical predictors of disengagement also vary, with only a few consistent findings, suggesting that such associations are complex and multifaceted. Most commonly reported associations of disengagement appear to be with sociodemographic variables including young age, ethnicity and deprivation; clinical variables such as lack of insight, substance misuse and forensic history; and service level variables such as availability of assertive outreach provision. Given the importance of continuity of care in serious mental disorders, there is a need for a consensual, validated and reliable measure of engagement which can be used to explore associations between patient, illness and service related variables and can inform service provision for difficult to reach patients.