Nursing research
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Patients undergoing continuous vital sign monitoring (heart rate [HR], respiratory rate [RR], pulse oximetry [SpO2]) in real time display interrelated vital sign changes during situations of physiological stress. Patterns in this physiological cross-talk could portend impending cardiorespiratory instability (CRI). Vector autoregressive (VAR) modeling with Granger causality tests is one of the most flexible ways to elucidate underlying causal mechanisms in time series data. ⋯ Within this sample of acutely ill patients who experienced a CRI event, VAR modeling indicated that RR changes tend to occur before changes in HR and SpO2. These findings suggest that contextual assessment of RR changes as the earliest sign of CRI is warranted. Use of VAR modeling may be helpful in other nursing research applications based on time series data.
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Patients admitted to acute care hospitals on weekends have poorer outcomes than those admitted on weekdays, and patients admitted to hospitals for acute myocardial infarction (AMI) on weekends have a higher mortality rate than those admitted during the week. Very few studies have examined weekend presentation for patients with AMI with respect to mortality in the emergency department (ED). ⋯ Weekend/holiday presentation to the ED for AMI was associated with increased mortality. The effect may be related to the limited availability of resources on weekend/holidays compared to weekdays. Future studies should examine potential variations of resources, nursing workload, and education and expertise of healthcare providers in the ED during the weekend.