Short-Term Elevation of Fine Particulate Matter Air Pollution and Acute Lower Respiratory Infection

2018 ◽  
Vol 198 (6) ◽  
pp. 759-766 ◽  
Author(s):  
Benjamin D. Horne ◽  
Elizabeth A. Joy ◽  
Michelle G. Hofmann ◽  
Per H. Gesteland ◽  
John B. Cannon ◽  
...  
Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Kent G Meredith ◽  
C A Pope ◽  
Joseph B Muhlestein ◽  
Jeffrey L Anderson ◽  
John B Cannon ◽  
...  

Introduction: Air pollution is associated with greater cardiovascular event risk, but which types of events and the specific at-risk individuals remain unknown. Hypothesis: Short-term exposure to fine particulate matter (PM 2.5 ) is associated with greater risk of acute coronary syndromes (ACS), including ST elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction (NSTEMI), and unstable angina (USA). Methods: ACS events treated at Intermountain Healthcare hospitals in Utah’s urban Wasatch Front region between September 10, 1993 and May 15, 2014 were included if the patient resided in that area (N=16,314). A time-stratified case-crossover design was performed matching the PM 2.5 exposure at the time of event with periods when the event did not occur (referent), for STEMI, NSTEMI, and USA. Patients served as their own controls. Odds ratios (OR) were determined for exposure threshold versus linear, non-threshold models. Results: In STEMI, NSTEMI, and USA patients, age averaged 62, 64, and 63 years; males constituted 73%, 66%, and 68%; current or past smoking was prevalent in 33%, 25%, and 26%; and significant coronary artery disease (CAD) (defined as ≥1 coronary with ≥70% stenosis) was found among 95%, 75%, and 74%, respectively. Short-term PM 2.5 exposure was associated with ACS events (Table). Conclusions: Short-term exposure of PM 2.5 was strongly associated with greater risk of STEMI, especially in patients with angiographic CAD. No association with NSTEMI was found, and only a weak effect for USA. This study supports a PM 2.5 exposure threshold of 25 μg/m 3 , below which little exposure effect is seen, while the effect is linear above that level.


Author(s):  
Earthea Nance

National environmental regulations lack short-term standards for variability in fine particulate matter (PM 2.5 ); they depend soley on concentration-based standards. Twenty-five years of research has linked short-term PM 2.5 ; that is, increases of at least 10 ug/m 3 that can occur in-between regulatory readings, to increased mortality (Di et al, 2017; Staniswalis et al, 2005; Conroy et al, 2001; Schwartz, 1994). Even as new technologies have emerged that could readily monitor short-term PM 2.5 , such as real-time monitoring and mobile monitoring, their primary application has been for research, not for air quality management. The Gulf oil spill offers a strategic setting in which regulatory monitoring, computer modeling, and stationary monitoring could be directly compared to mobile monitoring. Mobile monitoring was found to best capture the variability of PM 2.5 during the disaster. The research also found that each short-term increase (10-μg/m 3) in fine particulate matter was associated with a statistically significant increase of 0.105 deaths (p<0.001) in people aged 65 and over, a result that is in line with other studies. These findings contribute to understanding the effects of PM 2.5 on mortality during a disaster, and they provide justification for environmental managers to monitor the variability of PM 2.5, not only the concentration.


2021 ◽  
Author(s):  
Zhenyu Liang ◽  
Qiong Meng ◽  
Qiaohuan Yang ◽  
Na Chen ◽  
Chuming You

Abstract Background The burden of lower respiratory infection is primarily borne by developing countries. However, the association between particulate matter of different sizes and acute lower respiratory infection (ALRI) outpatient visits in developing countries is less studied. Methods We obtained data on ALRI outpatient visits (N = 105,639) from a tertiary hospital in Guangzhou, China between 2013 and 2019. Over-dispersed generalized additive Poisson models were employed to evaluate the excess risk (ER) associated with particulate matter [inhalable particulate matter (PM10), coarse particulate matter (PMc), and fine particulate matter (PM2.5)]. Counterfactual analyses were used to examine the potential percent reduction of ALRI outpatient visits if the levels of air pollution were as low as those recommended by the World Health Organization (WHO). Results There were 35,310 pneumonia, 68,218 bronchiolitis, and 2,111 asthma outpatient visits included. Each 10 µg/m3 increase of three-day moving averages of particulate matter was associated with significant ER [95% confidence interval (CI)] of outpatient visits of pneumonia [PM2.5: 3.71% (2.91%, 4.52%); PMc: 9.19% (6.94%, 11.49%); PM10: 4.36% (3.21%, 5.52%)], bronchiolitis [PM2.5: 3.21% (2.49%, 3.93%); PMc: 9.13% (7.09%, 11.21%); PM10: 3.12% (2.10%, 4.15%)], and asthma [PM2.5: 3.45% (1.18%, 5.78%); PMc: 11.69% (4.45%, 19.43%); PM10: 3.33% (0.26%, 6.49%)]. The association between particulate matter and pneumonia outpatient visits was stronger among male patients and in cold seasons. Counterfactual analyses suggested that PM2.5 was associated with the largest potential decline of ALRI outpatient visits [pneumonia: 3.89%, 95% CI: (3.24%, 5.52%); bronchiolitis: 4.35% (3.06%, 4.82%); asthma: 5.98% (1.92%, 10.37%)] if the air pollutants were reduced to the level of the reference guidelines. Conclusion Short-term exposure to PM2.5, PMc, and PM10 is associated with significant risk of ALRI outpatient visits, among which PM2.5 is associated with the highest potential decline in outpatient visits if it could be reduced to the WHO recommended level.


2021 ◽  
Vol 9 ◽  
Author(s):  
Zhenyu Liang ◽  
Qiong Meng ◽  
Qiaohuan Yang ◽  
Na Chen ◽  
Chuming You

The burden of lower respiratory infections is primarily evident in the developing countries. However, the association between size-specific particulate matter and acute lower respiratory infection (ALRI) outpatient visits in the developing countries has been less studied. We obtained data on ALRI outpatient visits (N = 105,639) from a tertiary hospital in Guangzhou, China between 2013 and 2019. Over-dispersed generalized additive Poisson models were employed to evaluate the excess risk (ER) associated with the size-specific particulate matter, such as inhalable particulate matter (PM10), coarse particulate matter (PMc), and fine particulate matter (PM2.5). Counterfactual analyses were used to examine the potential percent reduction of ALRI outpatient visits if the levels of air pollution recommended by the WHO were followed. There were 35,310 pneumonia, 68,218 bronchiolitis, and 2,111 asthma outpatient visits included. Each 10 μg/m3 increase of 3-day moving averages of particulate matter was associated with a significant ER (95% CI) of outpatient visits of pneumonia (PM2.5: 3.71% [2.91, 4.52%]; PMc: 9.19% [6.94, 11.49%]; PM10: 4.36% [3.21, 5.52%]), bronchiolitis (PM2.5: 3.21% [2.49, 3.93%]; PMc: 9.13% [7.09, 11.21%]; PM10: 3.12% [2.10, 4.15%]), and asthma (PM2.5: 3.45% [1.18, 5.78%]; PMc: 11.69% [4.45, 19.43%]; PM10: 3.33% [0.26, 6.49%]). The association between particulate matter and pneumonia outpatient visits was more evident in men patients and in the cold seasons. Counterfactual analyses showed that PM2.5 was associated with a larger potential decline of ALRI outpatient visits compared with PMc and PM10 (pneumonia: 11.07%, 95% CI: [7.99, 14.30%]; bronchiolitis: 6.30% [4.17, 8.53%]; asthma: 8.14% [2.65, 14.33%]) if the air pollutants were diminished to the level of the reference guidelines. In conclusion, short-term exposures to PM2.5, PMc, and PM10 are associated with ALRI outpatient visits, and PM2.5 is associated with the highest potential decline in outpatient visits if it could be reduced to the levels recommended by the WHO.


Epidemiology ◽  
2009 ◽  
Vol 20 ◽  
pp. S70-S71
Author(s):  
Barbara Hoffmann ◽  
Heike Luttmann-Gibson ◽  
Allison Cohen ◽  
Helen Suh ◽  
Brent Coull ◽  
...  

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