Cold Weather and Cardiac Arrest in 4 Seasons: Helsinki, Finland, 1997‒2018

Objectives. To test the a priori hypothesis that out-of-hospital cardiac arrest (OHCA) is associated with cold weather during all seasons, not only during the winter. \nMethods. We applied a case–crossover design to all cases of nontraumatic OHCA in Helsinki, Finland, over 22 years: 1997 to 2018. We statistically defined cold weather for each case and season, and applied conditional logistic regression with 2 complementary models a priori according to the season of death. \nResults. There was an association between cold weather and OHCA during all seasons, not only during the winter. Each additional cold day increased the odds of OHCA by 7% (95% confidence interval [CI] 5 4%, 10%), with similar strength of association during the autumn (6%; 95% CI 5 0%, 12%), winter (6%; 95% CI 5 1%, 12%), spring (8%; 95% CI 5 2%, 14%), and summer (7%; 95% CI 5 0%, 15%). \nConclusions. Cold weather, defined according to season, increased the odds of OHCA during all seasons in similar quantity. \nPublic Health Implications. Early warning systems and cold weather plans focus implicitly on the winter season. This may lead to incomplete measures in reducing excess mortality related to cold weather.