ArticleCureus2025
Correlation Between Meteorological Factors and the Incidence of Emergency Operations: A Retrospective Observational Study at 24 Hospitals in Japan.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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5 authors.
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Abstract
Background Although meteorological changes can affect the incidence of the onset of certain diseases, no study has investigated the correlation between meteorological factors and emergency operations. This study aimed to examine a possible association between meteorological factors and the need for anesthetic care for emergency surgery. We hypothesized that changes in atmospheric pressure, temperature, and humidity would be associated with the daily volume of emergency surgeries. Methods This retrospective multicenter observational study of emergency operations performed between 2009 and 2017 at 24 Japanese hospitals included a total of 2,423 emergency operations. Meteorological data, including daily mean values of atmospheric pressure, temperature, and humidity, were obtained from the Japan Meteorological Agency. Statistical analysis was performed using univariate and multivariate ordinal logistic regression to elucidate the correlation between the incidence of emergency operations and meteorological factors. Results The most common types of operations were gastrointestinal surgery (n = 1161; 47.9%), followed by neurosurgery (n = 496; 20.5%), and obstetrics and gynecology procedures (n = 419; 17.3%). Multivariate ordinal logistic regression analysis revealed a correlation between daily mean atmospheric pressure (OR: 1.0131, 95% CI: 1.0009-1.0255, P = 0.0352) and the number of emergency operations, with the number of emergency operations increasing as daily mean atmospheric pressure increased. Further, multivariate ordinal logistic analysis showed that an increase in mean humidity compared to the previous day was associated with an increase in the number of emergency operations for subarachnoid hemorrhage (OR: 1.1944, 95% CI: 1.0228-1.3966, P = 0.0252). Conclusion These results suggest that meteorological factors might enable anesthesiologists to predict the kinds of emergency surgeries likely to be scheduled. However, the mechanisms underlying these findings need to be clarified.
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