Evidence map›Paper›PMID 42058744›Full record

ArticleThe journal of climate change and health

Association between extreme temperatures and out-of-hospital cardiac arrest: A time-stratified case-crossover study in Korea.

Naae Lee, Yeonsu Kim, Jiwoo Park, Whanhee Lee, Jeong Ho Park, Seung-Sik Hwang

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Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Naae LeeDepartment of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea.
Yeonsu KimDepartment of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea.
Jiwoo ParkSchool of Biomedical Convergence Engineering, Pusan National University College of Information and Biomedical Engineering, Pusan, 50612, Republic of Korea.
Whanhee LeeSchool of Biomedical Convergence Engineering, Pusan National University College of Information and Biomedical Engineering, Pusan, 50612, Republic of Korea.
Jeong Ho ParkDepartment of Emergency Medicine, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, 03080, Republic of Korea.
Seung-Sik HwangDepartment of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Out-of-hospital cardiac arrest (OHCA) remains a critical public health concern, with low survival rates despite emergency care advances. Extremes in high and low ambient temperatures are important triggers of OHCA. To highlight the importance of the relation between OHCA and temperatures associated with climate change, we evaluated temperature effects during the high temperature period (June to September) and low temperature period (December to March) in Korea and projected future temperature-attributable OHCA burdens using climate change scenarios. Methods: A time-stratified case-crossover study examined the association between ambient temperature and OHCA incidence across 250 administrative districts in Korea from 2013 to 2020. Data from the Korean OHCA registry and Google Earth Engine were analyzed using distributed lag non-linear models. Observed OHCA risk was projected to future temperatures using Shared Socio-economic Pathway (SSP) scenarios: SSP1-2.6 (low-emission) and SSP5-8.5 (high-emission). Results: A total of 110,172 OHCA cases were analyzed. The temperature-attributable burden of OHCA increased during both high and low temperatures. Future projections under SSP1-2.6 and SSP5-8.5 showed a continued increase in heat-related OHCA burden, with attributable fractions ranging from 5.5%-9.2% under SSP1-2.6 and 6.3%-16.8% under SSP5-8.5. Cold-related attributable burden decreased over time in both scenarios, declining from 33.0% to 30.2% under SSP1-2.6 and from 33.0% to 21.6% under SSP5-8.5. Conclusion: In point estimates, the projected reduction in cold-related OHCA exceeded the increase in heat-related OHCA across the study period. However, heat-related OHCA burden is expected to increase substantially-particularly under the high-emission SSP5-8.5 scenario-highlighting the need to strengthen early warning systems, optimize emergency medical preparedness, and implement targeted cardiovascular health interventions for vulnerable populations.

Indexed as

Climate changeColdExtreme temperatureHeatOut-of-hospital cardiac arrest

Identifiers

PMID42058744
PMCPMC13122783

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.