PURPOSE: To identify parsimonious models for changes in depression in spouses of post myocardial infarction (MI) patients over 2 years based on the biopsychosocial model. METHODS: A total of 442 community living patients who had experienced an MI and their spouses were included for analysis. Patients and spouses completed psychosocial assessments at baseline, 1 year, and 2 years after enrollment in the Patients' and Families' Psychological Response to Home Automated External Defibrillator Trial. Linear mixed models were used for testing hypotheses. RESULTS: A total of 15.2% (baseline), 11.5% (1-year follow up), and 8.1% (2-year follow up) of spouses were depressed. Spouse biological factors did not influence changes in depression. Amongall spouses, twogroups of spouses showed increased depression over time: spouses with lower baseline depression scores (p < .001), and spouses of patients who had higher baseline depression scores (p = .001). Among psychologically distressed (anxious or depressed) spouses, three groups of spouses showed increased depression over time: spouses who had lower baseline depression scores (p < .001), spouses who had more social support at baseline (p = .023), and spouses of patientswho had higher baseline depression scores (p < .001). CONCLUSION: Spouse and patient baseline depression significantly predicted changes in depression for all spouses and psychologically distressed spouses. Among psychologically distressed spouses, higher baseline social support predicted higher depression scores over time. This study is an important step in understanding longitudinal changes in the psychological status of spouses of MI patients for evaluating the need for interventions. It is crucial that patient couples' psychosocial factors are continuously assessed.
Biological Factors ; Defibrillators ; Depression ; Humans ; Myocardial Infarction ; Spouses

Recent experience with pandemic influenza A(H1N1)pdm09 highlighted the importance of global surveillance for severe respiratory disease to support pandemic preparedness and seasonal influenza control. Improved surveillance in the southern hemisphere is needed to provide critical data on influenza epidemiology, disease burden, circulating strains and effectiveness of influenza prevention and control measures. Hospital-based surveillance for severe acute respiratory infection (SARI) cases was established in New Zealand on 30 April 2012. The aims were to measure incidence, prevalence, risk factors, clinical spectrum and outcomes for SARI and associated influenza and other respiratory pathogen cases as well as to understand influenza contribution to patients not meeting SARI case definition.All inpatients with suspected respiratory infections who were admitted overnight to the study hospitals were screened daily. If a patient met the World Health Organization’s SARI case definition, a respiratory specimen was tested for influenza and other respiratory pathogens. A case report form captured demographics, history of presenting illness, co-morbidities, disease course and outcome and risk factors. These data were supplemented from electronic clinical records and other linked data sources.Hospital-based SARI surveillance has been implemented and is fully functioning in New Zealand. Active, prospective, continuous, hospital-based SARI surveillance is useful in supporting pandemic preparedness for emerging influenza A(H7N9) virus infections and seasonal influenza prevention and control.