Diagnostic utility of coronary artery calcium score percentiles and categories to exclude abnormal scans and relevant ischemia in rubidium positron emission tomography.

Background: Despite clinical suspicion, most non-invasive ischemia tests for coronary artery disease (CAD) reveal unremarkable results. Patients with a coronary artery calcium score (CACS) of zero rarely have an abnormal positron emission tomography (PET) and could be deferred from further testing. However, most patients have some extent of coronary calcification.

Growth mindset: An umbrella for protecting socially stressed adolescents' life satisfaction.

Research suggests that growth mindset shows positive effects on adolescents' academic achievement, especially in overcoming academic-related setbacks. It remains unclear, however, how growth mindset functions in the presence of social stress, a risk factor for adolescent mental health. In the present study, we explored how growth mindset of thoughts-emotions-behaviors predicted dual indicators of adolescents' mental health (life satisfaction and emotional problems), and if and how growth mindset interacted with peer and family stress to predict mental health.

Artificial intelligence to improve ischemia prediction in Rubidium Positron Emission Tomography-a validation study.

Background: Patients are referred to functional coronary artery disease (CAD) testing based on their pre-test probability (PTP) to search for myocardial ischemia. The recommended prediction tools incorporate three variables (symptoms, age, sex) and are easy to use, but have a limited diagnostic accuracy. Hence, a substantial proportion of non-invasive functional tests reveal no myocardial ischemia, leading to unnecessary radiation exposure and costs.

The Yoga Instructor Beliefs Scales Epistemic (YIBS-E) and Pedagogic (YIBS-P): Development and Initial Assessment of the Factor Structure.

Yoga is a multidimensional and heterogeneous mind-body practice led by a therapist or teacher (e.g., yoga instructor).

A proteomic surrogate for cardiovascular outcomes that is sensitive to multiple mechanisms of change in risk.

A reliable, individualized, and dynamic surrogate of cardiovascular risk, synoptic for key biologic mechanisms, could shorten the path for drug development, enhance drug cost-effectiveness and improve patient outcomes. We used highly multiplexed proteomics to address these objectives, measuring about 5000 proteins in each of 32,130 archived plasma samples from 22,849 participants in nine clinical studies. We used machine learning to derive a 27-protein model predicting 4-year likelihood of myocardial infarction, stroke, heart failure, or death.

Procalcitonin concentration in the emergency department predicts 30-day mortality in COVID-19 better than the lymphocyte count, the neutrophil-tolymphocyte ratio, or the C-reactive protein level.

Objectives: Although many demographic and clinical predictors of mortality have been studied in relation to COVID-19, little has been reported about the prognostic utility of inflammatory biomarkers.

Material And Methods: Retrospective cohort study. All patients with laboratory-confirmed COVID-19 treated in a hospital emergency department were included consecutively if baseline measurements of the following biomarkers were on record: lymphocyte counts, neutrophil-to-lymphocyte ratio NRL, and C-reactive protein (CRP) and procalcitonin (PCT) levels.

Analysis of standards of quality for outcomes in acute heart failure patients directly discharged home from emergency departments and their relationship with the emergency department direct discharge rate.

Objective: Experts recommended that direct discharge without hospitalization (DDWH) for emergency departments (EDs) able to observe acute heart failure (AHF) patients should be >40%, and these discharged patients should fulfil the following outcome standards: 30-day all-cause mortality <2% (outcome A); 7-day ED revisit due to AHF < 10% (outcome B); and 30-day ED revisit/hospitalization due to AHF < 20% (outcome C). We investigated these outcomes in a nationwide cohort and their relationship with the ED DDWH percentage.

Methods: We analyzed the EAHFE registry (includes about 15% of Spanish EDs), calculated DDWH percentage of each ED, and A/B/C outcomes of DDWH patients, overall and in each individual ED.

Predicting progression in nondiabetic kidney disease: the importance of cardiorenal interactions.

The interplay between the heart and the kidneys has received widespread attention in recent years. A novel five-class definition of cardiorenal syndromes has been proposed. The ability of two markers of cardiac dysfunction to predict progression of primary kidney disease, described by Dieplinger and his co-workers, highlights the prognostic importance of the chronic cardiorenal (types 2 and 4) syndromes.