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Effects of Daily Mean Temperature on Daily Hospital Admissions for Coronary Artery Disease: A Retrospective Study.
Wang, Rehua; Lin, Yongjun; Chen, Mao; Wang, Wei; Chen, Yongli; Qiu, Xiaoxia; Miao, Xing.
Afiliación
  • Wang R; Department of Cardiology, Fujian Provincial Hospital, Fuzhou, 350001, People's Republic of China.
  • Lin Y; Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, People's Republic of China.
  • Chen M; Department of General Medicine, the First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, 362000, People's Republic of China.
  • Wang W; Department of Scientific Research, Fujian Provincial Hospital, Fuzhou, 350001, People's Republic of China.
  • Chen Y; Department of Psychiatry, Fuzhou Neuro-Psychiatric Hospital Affiliated to Fujian Medical University, Fuzhou, 350008, People's Republic of China.
  • Qiu X; Department of Cardiology, Fujian Provincial Hospital South Branch, Fuzhou, 350028, People's Republic of China.
  • Miao X; Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China.
Risk Manag Healthc Policy ; 17: 269-277, 2024.
Article en En | MEDLINE | ID: mdl-38313395
ABSTRACT

Purpose:

Temperature changes unfavorably impact on cardiovascular disease. However, the association between temperature changes and coronary artery disease (CAD) is not well documented. This study aimed to explore the association between daily mean temperature and daily CAD hospital admissions on the southeast coast of China (Fuzhou City).

Methods:

A total of 1883 CAD patients who underwent percutaneous coronary intervention between 2017 and 2019 were obtained. The severity of CAD was evaluated by the Gensini score. Distributed lag non-linear model (DLNM) combined with a quasi-Poisson regression model was used to examine the delayed effect between daily mean temperature and daily CAD hospital admissions. Stratified analyses were performed by Gensini score and severity of lesions. The relative risk (RR) with a 95% confidence interval (CI) was used to assess the relationship.

Results:

Extreme cold (8°C) (RR=0.49, 95% CI 0.25-0.99) and moderate cold (10°C) (RR=0.56, 95% CI 0.31-0.99) daily mean temperature with a lag of 0-20 days were correlated with lower risk of daily CAD hospital admissions. Moderate heat (30°C) (RR=1.80, 95% CI 1.01-3.20) and extreme heat (32°C) (RR=2.02, 95% CI 1.01-4.04) daily mean temperature with a lag of 0-20 days related to a higher risk of daily CAD hospital admissions. Similar results were observed for daily mean temperature with a lag of 0-25 days. Stratified analysis showed the lagged effect of daily mean temperature (lag 0, 0-5, 0-15, 0-20, and 0-25 days) on the daily CAD hospital admissions was observed only in patients with a Gensini score ≤39 (tertile 1).

Conclusion:

Cold temperatures may have a protective effect on daily CAD hospital admissions in the Fuzhou area, whereas hot temperatures can have an adverse effect.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Risk Manag Healthc Policy Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Risk Manag Healthc Policy Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido