7 research outputs found

    Out-of-hospital cardiac arrest:Does rurality decrease chances of survival?

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    BACKGROUND: Geographical setting is seldomly taken into account when investigating out-of-hospital cardiac arrest (OHCA). It is a common notion that living in rural areas means a lower chance of fast and effective helpwhen suffering a time-critical event. This retrospective cohort study investigates this hypothesis and compares across healthcare-divided administrative regions. METHODS: We included only witnessed OHCAs to minimize the risk that outcome was predetermined by time to caller arrival and/or recognition. Arrests were divided into public and residential. Residential arrests were categorized according to population density of the area in which they occurred. We investigated incidence, EMS response time and 30-day survival according to area type and subsidiarily by healthcare-divided administrative region. RESULTS: The majority (71%) of 8,579 OHCAs were residential, and 53.2% of all arrests occurred in the most densely populated cell group amongst residential arrests. This group had a median EMS response time of six minutes, whereas the most sparsely populated group had a median of 10 minutes. Public arrests also had a median response time of six minutes. 30-day survival was highest in public arrests (38.5%, [95% CI 36.9;40.1]), and varied only slightly with no statistical significance between OHCAs in densely and sparsely populated areas from 14.8% (95% CI 14.4;15.2) and 13.4% (95% CI 12.2;14.7). CONCLUSION: Our study demonstrates that while EMS response times in Denmark are longer in the rural areas, there is no statistically significant decrease in survival compared to the most densely populated areas

    Disability Retirement After First Admission with Acute Exacerbation of Chronic Obstructive Pulmonary Disease:A Danish Nationwide Registry Cohort Study Using a Retrospective Follow-Up Design

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    INTRODUCTION: Many chronic obstructive pulmonary disease (COPD) patients below retirement age are outside the workforce. The existing knowledge about association between acute exacerbation of COPD (AECOPD) and disability retirement is limited. AIM: The aim of this study is to explore disability retirement in COPD patients 3 years following first-ever AECOPD. METHODS: This retrospective registry-based follow-up cohort study design is based on nationwide Danish registry data. Patients admitted to the hospital for the first time between 1999 and 2017 with AECOPD and age between 35 and 59 years, active in the workforce, were included in the study. Socio-demographics, comorbidities and inhaled medication use were explored. COPD patients’ hazard ratio of disability retirement during 3-year follow-up was calculated. Cox regression was used to examine the effects of covariates on disability retirement. RESULTS: A total of 4032 patients were included in the study. During follow-up, 17.2% (692/4032) experienced disability retirement from the workforce. Factors associated with disability retirement were expressed as hazard ratio (95% confidence intervals): Higher age (ref. age 46–50: Age 51–55, 1.42, (1.12–1.81); age 56–59, 1.37 (1.08–1.74)); living alone (1.34 (1.14–1.56)); number of comorbidities for 1, 2, and 3 comorbidities (1.36 (1.14–1.62), 1.57 (1.19–2.07), 1.77 (1.20–2.60)); emphysema (2.01 (1.44–2.79)); depression (1.60 (1.12–2.28)); cardiac comorbidity (1.38 (1.07–1.78)); triple inhalation therapy (2.76 (2.20–3.47)); ICS + LAMA or ICS + LABA treatment (1.82 (1.48–2.23)); and ICS treatment (1.49 (1.17–1.90)). Higher educational level was associated with a significantly reduced risk of disability retirement, medium, short higher and long higher educational level, relative to low education level (0.78 (0.67–0.91), 0.63 (0.48–0.83) and 0.27 (0.12–0.60)). CONCLUSION: Patients vulnerable to disability retirement are patients with markers of severe COPD, comorbidities, and social vulnerability
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