High winter wind speeds significantly increased the risk of acute coronary syndrome admissions with an OR of 1.41, while temperatures below -5°C also markedly escalated risk.
Observational (n=2,445)
No
Does exposure to high wind speed and low temperatures increase the risk of acute coronary syndrome admissions in adults?
Elevated wind speed and extremely low temperatures are significant, lagged drivers of acute coronary syndrome admissions during the cold season, suggesting their integration into seasonal early-warning systems could improve prevention.
Effect estimate: OR 1.41 (95% CI 1.13-1.87)
p-value: p=<0.05
Autumn-Winter weather fluctuations, especially higher wind speed and lower temperature, may trigger acute coronary syndrome (ACS). However, evidence on seasonal exposure-response curves and lag structures remains scarce. We analyzed 2445 ACS admissions from a Beijing tertiary hospital (August 2016-July 2021). Daily meteorological data were linked to admission dates. We applied season-specific analyses-including Spearman correlations, multivariable logistic regression, restricted cubic spline (RCS) curves, and lag-response models-to the autumn and winter data. Wind speed showed a linear positive association with ACS risk: autumn odds ratio (OR) 1.32 (95% confidence interval CI: 1.05-1.61, P < 0.05) and winter OR 1.41 (95% CI: 1.13-1.87, P < 0.05). Temperature exhibited non-linear inverse relations with thresholds at ≈ 7.5°C in autumn and - 5°C in winter; below these thresholds, the risk decreased significantly per 1 °C rise (Autumn: OR = 0.76, 95% CI: 0.25-0.96, P < 0.05; Winter: OR = 0.74, 95% CI: 0.47-0.99, P < 0.05). Lag analysis revealed the significant effects at lag 2 for wind speed (Winter OR = 1.40, 95% CI: 1.19-1.67, P < 0.05) and at lag 2 for minimum temperature (Winter OR = 0.87, 95% CI: 0.745-0.996, P < 0.05). Associations were absent in spring and summer. Elevated wind speed and extremely low temperatures are significant, lagged drivers of ACS during the cold season in Beijing. Integrating these variables into seasonal early-warning systems could improve prevention for high-risk populations.
Qiu et al. (Thu,) conducted a observational in Acute coronary syndrome (n=2,445). High wind speed and low temperatures vs. Baseline meteorological conditions was evaluated on Acute coronary syndrome admission (OR 1.41, 95% CI 1.13-1.87, p=<0.05). High winter wind speeds significantly increased the risk of acute coronary syndrome admissions with an OR of 1.41, while temperatures below -5°C also markedly escalated risk.