Just TRAC it! Transitioning Responsibly to Adult Care Using Smart Phone Technology.

PURPOSE: There is little evidence on whether smartphone technology influences transition readiness among adolescents with heart disease. Just TRAC it! is a method of using existing smartphone features (Notes, Calendar, Contacts, Camera) to manage personal health. We evaluated the impact of Just TRAC it! on self-management skills. METHODS: Randomized clinical trial of 16-18 year-olds with heart disease. Participants were randomly allocated 1:1 to either usual care (education session) or intervention (education session including Just TRAC it!). The primary outcome was change in TRANSITION-Q score between baseline, 3 and 6 months. Secondary outcomes were frequency of use and perceived usefulness of Just TRAC it! Analysis was intention-to-treat. RESULTS: We enrolled 68 patients (41% female, mean age 17.3 years), 68% having previous cardiac surgery and 26% had cardiac catheterization. TRANSITION-Q scores were similar at baseline and increased over time in both groups but were not significantly different between groups. Each additional point at the baseline score brought, on average, a 0.7-point increase in TRANSITION-Q score (95% CI 0.5-0.9) at each of 3 and 6 months. The Camera, Calendar and Notes apps were reported as most useful. All intervention participants would recommend Just TRAC it! to others. DISCUSSION: A nurse-led transition teaching with versus without Just TRAC it! improved transition readiness, with no significant difference between groups. Higher baseline TRANSITION-Q scores were associated with greater increase in scores over time. Participants had a positive reception to Just TRAC it! and would recommend it to others. Smartphone technology may be useful in transition education.

Modifiable cardiovascular risk factors in adolescents and adults with congenital heart disease.

OBJECTIVE: Individuals with congenital heart disease (CHD) may be at higher risk of acquired cardiovascular disease than the general population due to their underlying physiology and/or surgical sequelae. We sought to assess the prevalence of cardiovascular disease risk factors in youth and adults with CHD. METHODS: We assessed cardiovascular health as per the Cardiovascular Health in Ambulatory Care Research Team (CANHEART) health index in patients with CHD aged 15+ years who attended cardiology outpatient clinics. Participants self-reported smoking behavior, fruit and vegetable consumption, physical activity, and whether they had diabetes and hypertension. Individual health indices were categorized into ideal/not ideal, and sum of individual health indices was categorized as poor, intermediate or ideal cardiovascular health as per CANHEART criteria. RESULTS: We included n = 102 adults (35.4 ± 12.9 years, 46% female) and n = 88 youth (17.2 ±1.1 years, 41% female). Most individuals reported to be nonsmokers (88% youth vs 86% adults) and to consume ≥5 servings of fruit and vegetables per day (83% vs 85%, respectively). More adults than youth were overweight/obese (52% vs 22%, p < 0.001) though more adults than youth reported meeting age-specific physical activity guidelines (84% vs 55%, p < 0.001). According to CANHEART health index criteria, 32% of youth and 27% of adults were in ideal cardiovascular health. CONCLUSIONS: A low proportion of individuals with CHD are in ideal cardiovascular health, suggesting a need to promote healthy lifestyles during adolescence and throughout adulthood in these individuals.

Computer-aided auscultation of murmurs in children: evaluation of commercially available software.

BACKGROUND: Heart murmurs are common in children and may represent congenital or acquired cardiac pathology. Auscultation is challenging and many primary-care physicians lack the skill to differentiate innocent from pathologic murmurs. We sought to determine whether computer-aided auscultation (CardioscanTM) identifies which children require referral to a cardiologist. METHODS: We consecutively enrolled children aged between 0 and 17 years with a murmur, innocent or pathologic, being evaluated in a tertiary-care cardiology clinic. Children being evaluated for the first time and patients with known cardiac pathology were eligible. We excluded children who had undergone cardiac surgery previously or were unable to sit still for auscultation. CardioscanTM auscultation was performed in a quiet room with the subject in the supine position. The sensitivity and specificity of a potentially pathologic murmur designation by CardioscanTM - that is, requiring referral - was determined using echocardiography as the reference standard. RESULTS: We enrolled 126 subjects (44% female) with a median age of 1.7 years, with 93 (74%) having cardiac pathology. The sensitivity and specificity of a potentially pathologic murmur determination by CardioscanTM for identification of cardiac pathology were 83.9 and 30.3%, respectively, versus 75.0 and 71.4%, respectively, when limited to subjects with a heart rate of 50-120 beats per minute. The combination of a CardioscanTM potentially pathologic murmur designation or an abnormal electrocardiogram improved sensitivity to 93.5%, with no haemodynamically significant lesions missed. CONCLUSIONS: Sensitivity of CardioscanTM when interpreted in conjunction with an abnormal electrocardiogram was high, although specificity was poor. Re-evaluation of computer-aided auscultation will remain necessary as advances in this technology become available.

Understanding the human salivary metabolome.

Saliva is a readily accessible biofluid that is important for the overall health, aiding in the chewing, swallowing, and tasting of food as well as the regulation mouth flora. As a first step to determining and understanding the human saliva metabolome, we have measured salivary metabolite concentrations under a variety of conditions in a healthy population with reasonably good oral hygiene. Using (1)H NMR spectroscopy, metabolite concentrations were measured in resting (basal) and stimulated saliva from the same subject and compared in a cohort of healthy male non-smoking subjects (n = 62). Almost all metabolites were higher in the unstimulated saliva when compared to the stimulated saliva. Comparison of the salivary metabolite profile of male smokers and non-smokers (n = 46) revealed citrate, lactate, pyruvate, and sucrose to be higher and formate to be lower in concentration in smokers compared with non-smokers (p < 0.05). Gender differences were also investigated (n = 40), and acetate, formate, glycine, lactate, methanol, propionate, propylene glycol, pyruvate, succinate, and taurine were significantly higher in concentration in male saliva compared to female saliva (p < 0.05). These results show that differences between male and female, stimulated and unstimulated, as well as smoking status may be observed in the salivary metabolome.

Solvated interaction energy (SIE) for scoring protein-ligand binding affinities. 1. Exploring the parameter space.

We present a binding free energy function that consists of force field terms supplemented by solvation terms. We used this function to calibrate the solvation model along with the binding interaction terms in a self-consistent manner. The motivation for this approach was that the solute dielectric-constant dependence of calculated hydration gas-to-water transfer free energies is markedly different from that of binding free energies (J. Comput. Chem. 2003, 24, 954). Hence, we sought to calibrate directly the solvation terms in the context of a binding calculation. The five parameters of the model were systematically scanned to best reproduce the absolute binding free energies for a set of 99 protein-ligand complexes. We obtained a mean unsigned error of 1.29 kcal/mol for the predicted absolute binding affinity in a parameter space that was fairly shallow near the optimum. The lowest errors were obtained with solute dielectric values of Din = 20 or higher and scaling of the intermolecular van der Waals interaction energy by factors ranging from 0.03 to 0.15. The high apparent Din and strong van der Waals scaling may reflect the anticorrelation of the change in solvated potential energy and configurational entropy, that is, enthalpy-entropy compensation in ligand binding (Biophys. J. 2004, 87, 3035-3049). Five variations of preparing the protein-ligand data set were explored in order to examine the effect of energy refinement and the presence of bound water on the calculated results. We find that retaining water in the final protein structure used for calculating the binding free energy is not necessary to obtain good results; that is the continuum solvation model is sufficient. Virtual screening enrichment studies on estrogen receptor and thymidine kinase showed a good ability of the binding free energy function to recover true hits in a collection of decoys.