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      Short term exposure to fine particulate matter and hospital admission risks and costs in the Medicare population: time stratified, case crossover study

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          Abstract

          Objective

          To assess risks and costs of hospital admission associated with short term exposure to fine particulate matter with diameter less than 2.5 µm (PM 2.5) for 214 mutually exclusive disease groups.

          Design

          Time stratified, case crossover analyses with conditional logistic regressions adjusted for non-linear confounding effects of meteorological variables.

          Setting

          Medicare inpatient hospital claims in the United States, 2000-12 (n=95 277 169).

          Participants

          All Medicare fee-for-service beneficiaries aged 65 or older admitted to hospital.

          Main outcome measures

          Risk of hospital admission, number of admissions, days in hospital, inpatient and post-acute care costs, and value of statistical life (that is, the economic value used to measure the cost of avoiding a death) due to the lives lost at discharge for 214 disease groups.

          Results

          Positive associations between short term exposure to PM 2.5 and risk of hospital admission were found for several prevalent but rarely studied diseases, such as septicemia, fluid and electrolyte disorders, and acute and unspecified renal failure. Positive associations were also found between risk of hospital admission and cardiovascular and respiratory diseases, Parkinson’s disease, diabetes, phlebitis, thrombophlebitis, and thromboembolism, confirming previously published results. These associations remained consistent when restricted to days with a daily PM 2.5 concentration below the WHO air quality guideline for the 24 hour average exposure to PM 2.5. For the rarely studied diseases, each 1 µg/m 3 increase in short term PM 2.5 was associated with an annual increase of 2050 hospital admissions (95% confidence interval 1914 to 2187 admissions), 12 216 days in hospital (11 358 to 13 075), US$31m (£24m, €28m; $29m to $34m) in inpatient and post-acute care costs, and $2.5bn ($2.0bn to $2.9bn) in value of statistical life. For diseases with a previously known association, each 1 µg/m 3 increase in short term exposure to PM 2.5 was associated with an annual increase of 3642 hospital admissions (3434 to 3851), 20 098 days in hospital (18 950 to 21 247), $69m ($65m to $73m) in inpatient and post-acute care costs, and $4.1bn ($3.5bn to $4.7bn) in value of statistical life.

          Conclusions

          New causes and previously identified causes of hospital admission associated with short term exposure to PM 2.5 were found. These associations remained even at a daily PM 2.5 concentration below the WHO 24 hour guideline. Substantial economic costs were linked to a small increase in short term PM 2.5.

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          Most cited references23

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            The health effects of ambient PM2.5 and potential mechanisms

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              • Article: not found

              Association of Short-term Exposure to Air Pollution With Mortality in Older Adults

              The US Environmental Protection Agency is required to reexamine its National Ambient Air Quality Standards (NAAQS) every 5 years, but evidence of mortality risk is lacking at air pollution levels below the current daily NAAQS in unmonitored areas and for sensitive subgroups.
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                Author and article information

                Contributors
                Role: doctoral student
                Role: doctoral student
                Role: assistant professor
                Role: chief innovation officer
                Role: senior research scientist
                Role: professor
                Role: principal research scientist
                Role: Clarence James Gamble professor of biostatistics, population, and data science
                Role: professor
                Journal
                BMJ
                BMJ
                BMJ-US
                bmj
                The BMJ
                BMJ Publishing Group Ltd.
                0959-8138
                1756-1833
                2019
                27 November 2019
                : 367
                : l6258
                Affiliations
                [1 ]Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, USA
                [2 ]Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA 02115, USA
                [3 ]Research Center for Public Health, School of Medicine, Tsinghua University, Beijing, China
                [4 ]Swiss Data Science Centre (ETH Zürich and EPFL), Zürich, Switzerland
                Author notes
                Correspondence to: F Dominici fdominic@ 123456hsph.harvard.edu (or @francescadomin8 on Twitter)
                Author information
                https://orcid.org/0000-0002-9382-0141
                Article
                weiy048424
                10.1136/bmj.l6258
                6880251
                31776122
                e26fcadc-f586-4ee2-ba3d-b6cbc16db984
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 16 October 2019
                Categories
                Research
                1779

                Medicine
                Medicine

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