Key result
Population movement is linked to a ~48% higher risk of sudden cardiac arrest in public places.
Observational (n=4,176)
Effect estimate: OR 1.48 (95% CI 1.34-1.63)
p-value: p=<0.0001
Public sudden cardiac arrests are highly clustered and significantly associated with population movements and specific landmarks like train stations, rather than simple residential population density, which can inform optimal AED placement.
May inform dynamic AED placement near high-movement sites; leaves open prospective validation of outcome impact.
BACKGROUND: Although the benefits of automatic external defibrillators are undeniable, their effectiveness could be dramatically improved. One of the key issues is the disparity between the locations of automatic external defibrillators and sudden cardiac arrests (SCAs). METHODS AND RESULTS: From emergency medical services and other Parisian agencies, data on all SCAs occurring in public places in Paris, France, were prospectively collected between 2000 and 2010 and recorded using 2020 grid areas. For each area, population density, population movements, and landmarks were analyzed. Of the 4176 SCAs, 1255 (30%) occurred in public areas, with a highly clustered distribution of SCAs, especially in areas containing major train stations (12% of SCAs in 0.75% of the Paris area). The association with population density was poor, with a nonsignificant increase in SCAs with population density (P=0.4). Occurrence of public SCAs was, in contrast, highly associated with population movements (P<0.001). In multivariate analysis including other landmarks in each grid cell in the model and demographic characteristics, population movement remained significantly associated with the occurrence of SCA (odds ratio, 1.48; 95% confidence interval, 1.34-1.63; P<0.0001), as well as grid cells containing train stations (odds ratio, 3.80; 95% confidence interval, 2.66-5.36; P<0.0001). CONCLUSIONS: Using a systematic analysis of determinants of SCA in public places, we demonstrated the extent to which population movements influence SCA distribution. Our findings also suggested that beyond this key risk factor, some areas are dramatically associated with a higher risk of SCA.
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Marijon et al. (2015) conducted an observational in Sudden cardiac arrest (n=4,176). Population movement was evaluated on Occurrence of sudden cardiac arrest (OR 1.48, 95% CI 1.34-1.63, p=<0.0001). Population movement was significantly associated with the occurrence of sudden cardiac arrest in public places (OR 1.48; 95% CI 1.34-1.63; P<0.0001).
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