Perceiving one's heart condition to be cured following hospitalization for acute coronary syndromes: Implications for patient-provider communication
OBJECTIVE: We examined the proportion of patients perceiving their heart condition to be cured following hospitalization for ACS and identified characteristics associated with these perceptions.
METHODS: We conducted a prospective cohort study of adults hospitalized with ACS (N=396). Patient interviews during hospitalization and one week post-discharge provided demographic and psychosocial characteristics. Medical records provided clinical characteristics. At one week, patients who rated "My heart condition is cured" as "definitely true" or "mostly true" were considered to perceive their heart condition cured.
RESULTS: Participants were aged 60.7 (SD:11.0) years, 26.5% female, and 89.0% non-Hispanic white; 16.7% had unstable angina, 59.6% NSTEMI, and 23.7% STEMI. One week post-discharge, 30.3% perceived their heart condition to be cured. Characteristics associated with cure perceptions were older age (OR=2.2; 95% CI: 1.2-4.0 for > /=65 years vs < 55 years), male sex (OR=2.4; 95%CI: 1.3-4.2), history of hypertension (OR=1.8; 95%CI: 1.1-3.1), history of stroke (OR=4.2; 95%CI: 1.1-16.7), no history of CHD (OR=2.8; 95%CI: 1.6-4.9), and receipt of CABG during hospitalization (OR=4.8, 95%CI: 1.9-12.0 vs medical management).
CONCLUSION: One week post-discharge, 3 in 10 patients perceived their heart condition to be cured.
PRACTICE IMPLICATIONS: Conversations with patients should frame ACS as a chronic disease and dispel cure perceptions.
Virus-specific CD8(+) T cells expand dramatically during acute EBV infection, and their persistence is important for lifelong control of EBV-related disease. To better define the generation and maintenance of these effective CD8(+) T cell responses, we used microarrays to characterize gene expression in total and EBV-specific CD8(+) T cells isolated from the peripheral blood of 10 individuals followed from acute infectious mononucleosis (AIM) into convalescence (CONV). In total CD8(+) T cells, differential expression of genes in AIM and CONV was most pronounced among those encoding proteins important in T cell activation/differentiation, cell division/metabolism, chemokines/cytokines and receptors, signaling and transcription factors (TF), immune effector functions, and negative regulators. Within these categories, we identified 28 genes that correlated with CD8(+) T cell expansion in response to an acute EBV infection. In EBV-specific CD8(+) T cells, we identified 33 genes that were differentially expressed in AIM and CONV. Two important TF, T-bet and eomesodermin, were upregulated and maintained at similar levels in both AIM and CONV; in contrast, protein expression declined from AIM to CONV. Expression of these TF varied among cells with different epitope specificities. Collectively, gene and protein expression patterns suggest that a large proportion, if not a majority of CD8(+) T cells in AIM are virus specific, activated, dividing, and primed to exert effector activities. High expression of T-bet and eomesodermin may help to maintain effector mechanisms in activated cells and to enable proliferation and transition to earlier differentiation states in CONV.
Children in many — but not all ― societies reject unfair deals by the age of eight.
Nature News doi: 10.1038/nature.2015.18816
Fifty animals held in “reserve” by the US government will be sent to sanctuaries.
Nature News doi: 10.1038/nature.2015.18817
New kinds of dogs, goats, monkeys and pigs are being made quickly, though scientists voice worries about ethics.
Nature News doi: 10.1038/nature.2015.18826
Social contact networks and the way people interact with each other are the key factors that impact on epidemics spreading. However, it is challenging to model the behavior of epidemics based on social contact networks due to their high dynamics. Traditional models such as susceptible-infected-recovered (SIR) model ignore the crowding or protection effect and thus has some unrealistic assumption. In this paper, we consider the crowding or protection effect and develop a novel model called improved SIR model. Then, we use both deterministic and stochastic models to characterize the dynamics of epidemics on social contact networks. The results from both simulations and real data set conclude that the epidemics are more likely to outbreak on social contact networks with higher average degree. We also present some potential immunization strategies, such as random set immunization, dominating set immunization, and high degree set immunization to further prove the conclusion.