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Type of publication: Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
Field of Science: Medicina / Medicine (M001)
Author(s): Venclovienė, Jonė;Babarskienė, Rūta Marija;Dobozinskas, Paulius;Siurkaite, Viktorija
Title: Effects of weather conditions on emergency ambulance calls for acute coronary syndromes
Is part of: International journal of biometeorology. New York : Springer, 2015, vol. 59, iss. 8
Extent: p. 1083-1093
Date: 2015
Note: Online ISSN 1432-1254
Keywords: Acute coronary syndrome;Weather;Wind speed;Barometric pressure;Emergency ambulance calls
Abstract: The aim of this study was to evaluate the relationship between weather conditions and daily emergency ambulance calls for acute coronary syndromes (ACS). The study included data on 3631 patients who called the ambulance for chest pain and were admitted to the department of cardiology as patients with ACS. We investigated the effect of daily air temperature (T), barometric pressure (BP), relative humidity, and wind speed (WS) to detect the risk areas for low and high daily volume (DV) of emergency calls. We used the classification and regression tree method as well as cluster analysis. The clusters were created by applying the k-means cluster algorithm using the standardized daily weather variables. The analysis was performed separately during cold (October–April) and warm (May–September) seasons. During the cold period, the greatest DV was observed on days of low T during the 3-day sequence, on cold and windy days, and on days of low BP and high WS during the 3-day sequence; low DV was associated with high BP and decreased WS on the previous day. During June–September, a lower DV was associated with low BP, windless days, and high BP and low WS during the 3-day sequence. During the warm period, the greatest DV was associated with increased BP and changing WS during the 3-day sequence. These results suggest that daily T, BP, and WS on the day of the ambulance call and on the two previous days may be prognostic variables for the risk of ACS
Affiliation(s): Aplinkotyros katedra
Gamtos mokslų fakultetas
Lietuvos sveikatos mokslų universitetas
Lietuvos sveikatos mokslų universitetas. Medicinos akademija
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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