Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/160732
Author(s): Hundessa, S
Huang, W
Zhao, Q
Wu, Y
Wen, B
Alahmad, B
Armstrong, B
Gasparrini, A
Sera, F
Tong, S
Madureira, J
Kyselý, J
Schwartz, J
Vicedo-Cabrera, AM
Hales, S
Johnson, A
Li, S
Guo, Y
Jaakkola, JJK
Ryti, N
Urban, A
Tobias, A
Royé, D
Lavigne, E
Ragettli, MS
Åström, C
Raz, R
Pascal, M
Kan, H
Goodman, P
Zeka, A
Hashizume, M
Diaz, MH
Seposo, X
Nunes, B
Kim, H
Lee, W
Íñiguez, C
Guo, YL
Pan, SC
Zanobetti, A
Dang, TN
Van Dung, D
Schneider, A
Entezari, A
Analitis, A
Forsberg, B
Ameling, C
Houthuijs, D
Indermitte, E
Mayvaneh, F
Acquaotta, F
de'Donato, F
Carrasco-Escobar, G
Orru, H
Katsouyanni, K
de Sousa Zanotti Stagliorio Coelho, M
Ortega, NV
Scovronick, N
Michelozzi, P
Correa, PM
Nascimento Saldiva, PH
Abrutzky, R
Osorio, S
Colistro, V
Huber, V
Honda, Y
Kim, Y
Bell, M
Xu, R
Yang, Z
Roradeh, H
Félix Arellano, EE
Rao, S
Carlos Chua, PL
da Silva, SDNP
De la Cruz Valencia, C
Title: Global and Regional Cardiovascular Mortality Attributable to Nonoptimal Temperatures Over Time
Publisher: Elsevier
Issue Date: 2024
Abstract: Background: The association between nonoptimal temperatures and cardiovascular mortality risk is recognized. However, a comprehensive global assessment of this burden is lacking. Objectives: The goal of this study was to assess global cardiovascular mortality burden attributable to nonoptimal temperatures and investigate spatiotemporal trends. Methods: Using daily cardiovascular deaths and temperature data from 32 countries, a 3-stage analytical approach was applied. First, location-specific temperature–mortality associations were estimated, considering nonlinearity and delayed effects. Second, a multivariate meta-regression model was developed between location-specific effect estimates and 5 meta-predictors. Third, cardiovascular deaths associated with nonoptimal, cold, and hot temperatures for each global grid (55 km × 55 km resolution) were estimated, and temporal trends from 2000 to 2019 were explored. Results: Globally, 1,801,513 (95% empirical CI: 1,526,632-2,202,831) annual cardiovascular deaths were associated with nonoptimal temperatures, constituting 8.86% (95% empirical CI: 7.51%-12.32%) of total cardiovascular mortality corresponding to 26 deaths per 100,000 population. Cold-related deaths accounted for 8.20% (95% empirical CI: 6.74%-11.57%), whereas heat-related deaths accounted for 0.66% (95% empirical CI: 0.49%-0.98%). The mortality burden varied significantly across regions, with the highest excess mortality rates observed in Central Asia and Eastern Europe. From 2000 to 2019, cold-related excess death ratios decreased, while heat-related ratios increased, resulting in an overall decline in temperature-related deaths. Southeastern Asia, Sub-Saharan Africa, and Oceania observed the greatest reduction, while Southern Asia experienced an increase. The Americas and several regions in Asia and Europe displayed fluctuating temporal patterns. Conclusions: Nonoptimal temperatures substantially contribute to cardiovascular mortality, with heterogeneous spatiotemporal patterns. Effective mitigation and adaptation strategies are crucial, especially given the increasing heat-related cardiovascular deaths amid climate change. © 2024 American College of Cardiology Foundation
DOI: 10.1016/j.jacc.2024.03.425
URI: https://hdl.handle.net/10216/160732
Source: J Am Coll Cardiol. 2024 Jun 11;83(23):2276-2287. doi: 10.1016/j.jacc.2024.03.425.
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:ISPUP - Artigo em Revista Científica Internacional

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