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Published on: June 10, 2025
493
The Impact of Meteorological Variables on Heart Failure Hospitalizations
Stefano Coiro1, Claire Lacomblez2, Guillaume Baudry3
1Cardiology Department, Santa Maria della Misericordia Hospital, Perugia, Umbria, Italy; Université de Lorraine, Centre D'Investigation Clinique-Plurithématique Inserm CIC-P 1433, Inserm U1116, CHRU Nancy hopitaux de Brabois, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu, Vandoeuvre lès Nancy, France.
JACC. Advances
|December 25, 2025
Summary
Cold temperatures increase heart failure hospitalization risk, with risk rising up to one week of exposure. This finding is crucial for predicting heart failure events.
Area of Science:
- Environmental Health
- Cardiology
- Epidemiology
Background:
- Existing research links cold temperatures to increased heart failure (HF) hospitalizations.
- However, studies show variability regarding meteorological variables and exposure durations.
Purpose of the Study:
- To investigate the association between meteorological factors (temperature, humidity, pressure, rainfall) and HF hospitalization risk.
- To determine the impact of different exposure timeframes on this risk.
Main Methods:
- Retrospective analysis of 4,512 acute HF patients from Nancy University Hospital (2010-2022).
- Meteorological data (daily averages) were analyzed for 3-day, 7-day, 14-day, and 1-month periods preceding emergency department visits.
- Multivariable Poisson regression models were employed.
Main Results:
- Inverse association found between temperature and HF hospitalizations across all timeframes (IRR ~0.90 per 5°C increase).
- Increased rainfall (1 week/1 month) and elevated atmospheric pressure (1 month) were linked to higher HF hospitalization risk.
- Models incorporating temperature significantly outperformed those without it; risk plateaued after 1 week of exposure.
Conclusions:
- Temperature is an independent predictor of HF hospitalizations.
- The risk of HF hospitalization increases with exposure duration, peaking at one week.
- A one-week exposure window may be optimal for predicting HF-related events.
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