Stanislaw Szczerbinski1, Jakub Ratajczak2, Piotr Lach2, Jakub Rzeszuto2, Przemyslaw Paciorek2, Joanna Karlowska-Pik3, Bartosz Ziemkiewicz3, Malgorzata Jasiewicz4, Aldona Kubica5. 1. Emergency Medical Center in Opole, Opole, Poland. 2. Department of Cardiology and Internal Medicine, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Poland. 3. Department of Probability Theory and Stochastic Analysis, Nicolaus Copernicus University, Torun, Poland. 4. Department of Cardiology and Internal Medicine, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Poland. jasiewiczm@gmail.com. 5. Department of Health Promotion, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz,Bydgoszcz, Poland.
Abstract
BACKGROUND: Although recent studies indicate temporal variations in the incidence of out-of-hospital cardiac arrest (OHCA), the Polish experience in this research is scarce to date. We evaluated the epidemiology of OHCA and circadian, weekly and seasonal variations of OHCA frequency among the adult population of the Opole district, Poland. METHODS: The retrospective analysis of 815 OHCA cases with presumed cardiac etiology was made based on dispatch cards from the Emergency Medical Center in Opole registered during a 2 year period (2006-2007). RESULTS: The incidence of OHCA in the studied population was 1.56/1000 inhabitants per year. Mean age of the group was 69.2 ± 14.2 years, with the majority of men (63%), younger than women (66.1 vs. 74 years, p = 0.0001). The OHCA occurrence increased with age reaching a peak between 71 and 75 years. The incidence of OHCA stayed at stable low levels between 22:00 and 4:59 and started to increase at 5:00, with trimodal peaks: 8:00-10:59, 14:00-15:59 and 18.00-21.59. The lowest number of OHCA occurred from 00:00 to 5:59, the highest from 6:00 to 11:59 (13% vs. 32.4%, p < 0.001). The day with the lowest occurrence of OHCA was Friday, the highest Saturday (10.9% vs. 16%, p = 0.01). Summer was the season of the lowest incidence of OHCA, while winter - the highest (22.6% vs. 26%, p = 0.04). These seasons were the warmest and the coldest one, respectively (average temperature 18.5°C vs. 0°C, p < 0.001). CONCLUSIONS: Circadian and less marked, weekly variability in OHCA occurrence were confirmed. Existing seasonal differences may be affected by temperature. This is the first Polish analysis of a large subpopulation, which also includes seasonal temperature data.
BACKGROUND: Although recent studies indicate temporal variations in the incidence of out-of-hospital cardiac arrest (OHCA), the Polish experience in this research is scarce to date. We evaluated the epidemiology of OHCA and circadian, weekly and seasonal variations of OHCA frequency among the adult population of the Opole district, Poland. METHODS: The retrospective analysis of 815 OHCA cases with presumed cardiac etiology was made based on dispatch cards from the Emergency Medical Center in Opole registered during a 2 year period (2006-2007). RESULTS: The incidence of OHCA in the studied population was 1.56/1000 inhabitants per year. Mean age of the group was 69.2 ± 14.2 years, with the majority of men (63%), younger than women (66.1 vs. 74 years, p = 0.0001). The OHCA occurrence increased with age reaching a peak between 71 and 75 years. The incidence of OHCA stayed at stable low levels between 22:00 and 4:59 and started to increase at 5:00, with trimodal peaks: 8:00-10:59, 14:00-15:59 and 18.00-21.59. The lowest number of OHCA occurred from 00:00 to 5:59, the highest from 6:00 to 11:59 (13% vs. 32.4%, p < 0.001). The day with the lowest occurrence of OHCA was Friday, the highest Saturday (10.9% vs. 16%, p = 0.01). Summer was the season of the lowest incidence of OHCA, while winter - the highest (22.6% vs. 26%, p = 0.04). These seasons were the warmest and the coldest one, respectively (average temperature 18.5°C vs. 0°C, p < 0.001). CONCLUSIONS: Circadian and less marked, weekly variability in OHCA occurrence were confirmed. Existing seasonal differences may be affected by temperature. This is the first Polish analysis of a large subpopulation, which also includes seasonal temperature data.
Authors: F Lateef; M E H Ong; T Alfred; B S H Leong; V Y K Ong; L Tiah; L P Tham; V Anantharaman Journal: Singapore Med J Date: 2008-09 Impact factor: 1.858
Authors: Steven C Brooks; Robert H Schmicker; Thomas D Rea; Tom P Aufderheide; Daniel P Davis; Laurie J Morrison; Ritu Sahni; Gena K Sears; Denise E Griffiths; George Sopko; Scott S Emerson; Paul Dorian Journal: Resuscitation Date: 2009-11-25 Impact factor: 5.262
Authors: G H Tofler; D Brezinski; A I Schafer; C A Czeisler; J D Rutherford; S N Willich; R E Gleason; G H Williams; J E Muller Journal: N Engl J Med Date: 1987-06-11 Impact factor: 91.245
Authors: Lena I M Karlsson; Mads Wissenberg; Emil L Fosbøl; Carolina Malta Hansen; Freddy K Lippert; Akshay Bagai; Bryan McNally; Christopher B Granger; Erika Frischknecht Christensen; Fredrik Folke; Shahzleen Rajan; Peter Weeke; Søren L Nielsen; Lars Køber; Gunnar H Gislason; Christian Torp-Pedersen Journal: Resuscitation Date: 2014-06-24 Impact factor: 5.262
Authors: Daniel Ślęzak; Marlena Robakowska; Przemysław Żuratyński; Kamil Krzyżanowski Journal: Int J Environ Res Public Health Date: 2022-07-25 Impact factor: 4.614