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Associations Between Dust Storms and Intensive Care Unit Admissions in the United States, 2000–2015
Anthropogenic climate change is influencing the incidence of dust storms and associated human exposure to coarse particulate matter (PM(2.5–10)) in the United States. Studies have found adverse health consequences related to dust exposure. These consequences include respiratory disease exacerbations...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411550/ https://www.ncbi.nlm.nih.gov/pubmed/32783014 http://dx.doi.org/10.1029/2020GH000260 |
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author | Rublee, C. S. Sorensen, C. J. Lemery, J. Wade, T. J. Sams, E. A. Hilborn, E. D. Crooks, J. L. |
author_facet | Rublee, C. S. Sorensen, C. J. Lemery, J. Wade, T. J. Sams, E. A. Hilborn, E. D. Crooks, J. L. |
author_sort | Rublee, C. S. |
collection | PubMed |
description | Anthropogenic climate change is influencing the incidence of dust storms and associated human exposure to coarse particulate matter (PM(2.5–10)) in the United States. Studies have found adverse health consequences related to dust exposure. These consequences include respiratory disease exacerbations and premature mortality, resulting in increased health care utilization. However, the impact of dust storms on critical care demand has not been studied in the United States. We seek to quantify the relationship between dust storms and surges in critical care demand by investigating the association between dust storms and intensive care unit (ICU) admissions at nearby hospitals from 2000 to 2015. ICU data were acquired from Premier, Inc. and encompass 15–20% of all ICU admissions in the United States. Dust storm, meteorology, and air pollutant data were downloaded from the U.S. National Weather Service, the U.S. National Climatic Data Center, and the U.S. Environmental Protection Agency websites, respectively. Associations between ICU admission and dust storms, controlling for temperature, dew point temperature, ambient PM(2.5) and ozone, as well as seasonally varying confounders, were estimated using a distributed lag conditional Poisson model with overdispersion. We found a 4.8% (95% CI: 0.4, 9.4; p = 0.033) increase in total ICU admissions on the day of the dust storm (Lag 0) and a 9.2% (95% CI: 1.8, 17.0; p = 0.013) and 7.5% (95% CI: 0.3, 15.2; p = 0.040) increase in respiratory admissions at Lags 0 and 5. North American dust storms are associated with increases in same day and lagged demand for critical care services at nearby hospitals. |
format | Online Article Text |
id | pubmed-7411550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74115502020-08-10 Associations Between Dust Storms and Intensive Care Unit Admissions in the United States, 2000–2015 Rublee, C. S. Sorensen, C. J. Lemery, J. Wade, T. J. Sams, E. A. Hilborn, E. D. Crooks, J. L. Geohealth Research Articles Anthropogenic climate change is influencing the incidence of dust storms and associated human exposure to coarse particulate matter (PM(2.5–10)) in the United States. Studies have found adverse health consequences related to dust exposure. These consequences include respiratory disease exacerbations and premature mortality, resulting in increased health care utilization. However, the impact of dust storms on critical care demand has not been studied in the United States. We seek to quantify the relationship between dust storms and surges in critical care demand by investigating the association between dust storms and intensive care unit (ICU) admissions at nearby hospitals from 2000 to 2015. ICU data were acquired from Premier, Inc. and encompass 15–20% of all ICU admissions in the United States. Dust storm, meteorology, and air pollutant data were downloaded from the U.S. National Weather Service, the U.S. National Climatic Data Center, and the U.S. Environmental Protection Agency websites, respectively. Associations between ICU admission and dust storms, controlling for temperature, dew point temperature, ambient PM(2.5) and ozone, as well as seasonally varying confounders, were estimated using a distributed lag conditional Poisson model with overdispersion. We found a 4.8% (95% CI: 0.4, 9.4; p = 0.033) increase in total ICU admissions on the day of the dust storm (Lag 0) and a 9.2% (95% CI: 1.8, 17.0; p = 0.013) and 7.5% (95% CI: 0.3, 15.2; p = 0.040) increase in respiratory admissions at Lags 0 and 5. North American dust storms are associated with increases in same day and lagged demand for critical care services at nearby hospitals. John Wiley and Sons Inc. 2020-08-01 /pmc/articles/PMC7411550/ /pubmed/32783014 http://dx.doi.org/10.1029/2020GH000260 Text en ©2020. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Rublee, C. S. Sorensen, C. J. Lemery, J. Wade, T. J. Sams, E. A. Hilborn, E. D. Crooks, J. L. Associations Between Dust Storms and Intensive Care Unit Admissions in the United States, 2000–2015 |
title | Associations Between Dust Storms and Intensive Care Unit Admissions in the United States, 2000–2015 |
title_full | Associations Between Dust Storms and Intensive Care Unit Admissions in the United States, 2000–2015 |
title_fullStr | Associations Between Dust Storms and Intensive Care Unit Admissions in the United States, 2000–2015 |
title_full_unstemmed | Associations Between Dust Storms and Intensive Care Unit Admissions in the United States, 2000–2015 |
title_short | Associations Between Dust Storms and Intensive Care Unit Admissions in the United States, 2000–2015 |
title_sort | associations between dust storms and intensive care unit admissions in the united states, 2000–2015 |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411550/ https://www.ncbi.nlm.nih.gov/pubmed/32783014 http://dx.doi.org/10.1029/2020GH000260 |
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