Publication

A High-Resolution Analysis on the Meteorological Influences on Spontaneous Intracerebral Hemorrhage Incidence

Journal Paper/Review - Dec 10, 2016

Units
PubMed
Doi

Citation
Neidert M, Sprenger M, Mader M, Esposito G, Hosp J, Bozinov O, Regli L, Burkhardt J. A High-Resolution Analysis on the Meteorological Influences on Spontaneous Intracerebral Hemorrhage Incidence. World Neurosurg 2016; 98:695-703.e19.
Type
Journal Paper/Review (English)
Journal
World Neurosurg 2016; 98
Publication Date
Dec 10, 2016
Issn Electronic
1878-8769
Pages
695-703.e19
Brief description/objective

OBJECTIVE
To investigate the influence of meteorological factors on the incidence of intracerebral hemorrhage (ICH).

METHODS
We included 295 ICH admissions between 2005 and 2013. The hourly meteorological parameters considered were surface pressure, temperature, relative humidity, wind gusts, and precipitation. To minimize confounding effects of seasonality, data were analyzed with the following 3 complementary statistical approaches: 1) deviation of daily measure from the 10-year monthly mean at the day of ictus; 2) deviation from monthly average with respect to changes in daily measures between the day of ictus and 2 days before; and 3) evolution of daily measures from 5 days before to 5 days after the ICH occurred. For 1) and 2), the statistical significance of the results was determined with a Monte Carlo simulation combined with a resampling technique (1000×).

RESULTS
Regarding all patients, no statistically significant and meteorologically meaningful signal could be found. With respect to subgroup-analysis, ICH related to vascular pathologies occurred significantly more frequently at days with especially low relative humidity, whereas an opposite relation was present in patients with cerebral amyloid angiopathy. However, as absolute deviations were small, a strong functional effect is questionable. With respect to seasonal distribution, a greater incidence of ICH could be detected during the cold season, in line with previous reports.

CONCLUSIONS
By using high-quality meteorological data analyzed with a sophisticated and robust statistical method that minimizes the confounding effect of seasonality, no clearly identifiable meteorological influence for the ICH events considered can be found.