Associations Between Wildfire-Related PM and Intensive Care Unit Admissions in the United States, 2006-2015.

Geohealth

Division of Biostatistics and Bioinformatics and Department of Immunology and Genomic Medicine National Jewish Health Denver CO USA.

Published: May 2021


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Article Abstract

Wildfire smoke is a growing public health concern in the United States. Numerous studies have documented associations between ambient smoke exposure and severe patient outcomes for single-fire seasons or limited geographic regions. However, there are few national-scale health studies of wildfire smoke in the United States, few studies investigating Intensive Care Unit (ICU) admissions as an outcome, and few specifically framed around hospital operations. This study retrospectively examined the associations between ambient wildfire-related PM at a hospital ZIP code with total hospital ICU admissions using a national-scale hospitalization data set. Wildfire smoke was characterized using a combination of kriged PM monitor observations and satellite-derived plume polygons from National Oceanic and Atmospheric Administration's Hazard Mapping System. ICU admissions data were acquired from Premier, Inc. and encompass 15%-20% of all U.S. ICU admissions during the study period. Associations were estimated using a distributed-lag conditional Poisson model under a time-stratified case-crossover design. We found that a 10 μg/m increase in daily wildfire PM was associated with a 2.7% (95% CI: 1.3, 4.1;  = 0.00018) increase in ICU admissions 5 days later. Under stratification, positive associations were found among patients aged 0-20 and 60+, patients living in the Midwest Census Region, patients admitted in the years 2013-2015, and non-Black patients, though other results were mixed. Following a simulated severe 7-day 120 μg/m smoke event, our results predict ICU bed utilization peaking at 131% (95% CI: 43, 239; < 10) over baseline. Our work suggests that hospitals may need to preposition vital critical care resources when severe smoke events are forecast.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8095362PMC
http://dx.doi.org/10.1029/2021GH000385DOI Listing

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