作者
Samuel Hundessa,Wenzhong Huang,Qi Zhao,Yao Wu,Bo Wen,Barrak Alahmad,Ben Armstrong,Antonio Gasparrini,Francesco Sera,Shilu Tong,Joana Madureira,Jan Kyselý,Joel Schwartz,Ana M. Vicedo‐Cabrera,Simon Hales,Amanda Johnson,Shanshan Li,Yuming Guo,Jouni J. K. Jaakkola,Niilo Ryti,Aleš Urban,Aurelio Tobías,Dominic Royé,Éric Lavigne,Martina S. Ragettli,Christofer Åström,Raanan Raz,Mathilde Pascal,Haidong Kan,Patrick Goodman,Ariana Zeka,Masahiro Hashizume,Magali Hurtado‐Díaz,Xerxes Seposo,Baltazar Nunes,Ho Kim,Whanhee Lee,Carmen Íñiguez,Yue Leon Guo,Shih‐Chun Pan,Antonella Zanobetti,Trần Ngọc Đăng,Do Van Dung,Alexandra Schneider,Alireza Entezari,Antonis Analitis,Bertil Forsberg,Caroline Ameling,Danny Houthuijs,Ene Indermitte,Fatemeh Mayvaneh,Fiorella Acquaotta,Francesca deʼDonato,Gabriel Carrasco-Escobar,Hans Orru,Klea Katsouyanni,Micheline de Sousa Zanotti Stagliorio Coêlho,Nicolás Valdés Ortega,Noah Scovronick,Paola Michelozzi,Patricia Matus Correa,Paulo Hilário Nascimento Saldiva,Rosana Abrutzky,Samuel Osorio,Valentina Colistro,Veronika Huber,Yasushi Honda,Yoonhee Kim,Michelle L. Bell,Rongbin Xu,Zhengyu Yang,Hematollah Roradeh,Eunice Elizabeth Félix Arellano,Shilpa Rao,Paul Lester Chua,Susana das Neves Pereira da Silva,Susana das Neves Pereira da Silva,César De la Cruz Valencia
摘要
The association between nonoptimal temperatures and cardiovascular mortality risk is recognized. However, a comprehensive global assessment of this burden is lacking. The goal of this study was to assess global cardiovascular mortality burden attributable to nonoptimal temperatures and investigate spatiotemporal trends. 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. 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. 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.