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

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A High-Resolution Analysis on the Meteorological Influences on Spontaneous Intracerebral Hemorrhage Incidence. / Neidert, Marian Christoph; Sprenger, Michael; Mader, Marius; Esposito, Giuseppe; Hosp, Jonas Aurel; Bozinov, Oliver; Regli, Luca; Burkhardt, Jan-Karl.

in: WORLD NEUROSURG, Jahrgang 98, 02.2017, S. 695-703.e19.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Neidert, MC, Sprenger, M, Mader, M, Esposito, G, Hosp, JA, Bozinov, O, Regli, L & Burkhardt, J-K 2017, 'A High-Resolution Analysis on the Meteorological Influences on Spontaneous Intracerebral Hemorrhage Incidence', WORLD NEUROSURG, Jg. 98, S. 695-703.e19. https://doi.org/10.1016/j.wneu.2016.12.006

APA

Neidert, M. C., Sprenger, M., Mader, M., Esposito, G., Hosp, J. A., Bozinov, O., Regli, L., & Burkhardt, J-K. (2017). A High-Resolution Analysis on the Meteorological Influences on Spontaneous Intracerebral Hemorrhage Incidence. WORLD NEUROSURG, 98, 695-703.e19. https://doi.org/10.1016/j.wneu.2016.12.006

Vancouver

Bibtex

@article{72b71af75f4b467eaebf1bcaa195b8bf,
title = "A High-Resolution Analysis on the Meteorological Influences on Spontaneous Intracerebral Hemorrhage Incidence",
abstract = "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.",
keywords = "Cerebral Hemorrhage, Female, Humans, Incidence, Male, Middle Aged, Residence Characteristics, Retrospective Studies, Seasons, Stroke, Switzerland, Weather, Journal Article, Observational Study",
author = "Neidert, {Marian Christoph} and Michael Sprenger and Marius Mader and Giuseppe Esposito and Hosp, {Jonas Aurel} and Oliver Bozinov and Luca Regli and Jan-Karl Burkhardt",
note = "Copyright {\textcopyright} 2016 Elsevier Inc. All rights reserved.",
year = "2017",
month = feb,
doi = "10.1016/j.wneu.2016.12.006",
language = "English",
volume = "98",
pages = "695--703.e19",
journal = "WORLD NEUROSURG",
issn = "1878-8750",
publisher = "Elsevier Inc.",

}

RIS

TY - JOUR

T1 - A High-Resolution Analysis on the Meteorological Influences on Spontaneous Intracerebral Hemorrhage Incidence

AU - Neidert, Marian Christoph

AU - Sprenger, Michael

AU - Mader, Marius

AU - Esposito, Giuseppe

AU - Hosp, Jonas Aurel

AU - Bozinov, Oliver

AU - Regli, Luca

AU - Burkhardt, Jan-Karl

N1 - Copyright © 2016 Elsevier Inc. All rights reserved.

PY - 2017/2

Y1 - 2017/2

N2 - 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.

AB - 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.

KW - Cerebral Hemorrhage

KW - Female

KW - Humans

KW - Incidence

KW - Male

KW - Middle Aged

KW - Residence Characteristics

KW - Retrospective Studies

KW - Seasons

KW - Stroke

KW - Switzerland

KW - Weather

KW - Journal Article

KW - Observational Study

U2 - 10.1016/j.wneu.2016.12.006

DO - 10.1016/j.wneu.2016.12.006

M3 - SCORING: Journal article

C2 - 27965078

VL - 98

SP - 695-703.e19

JO - WORLD NEUROSURG

JF - WORLD NEUROSURG

SN - 1878-8750

ER -