Next Article in Journal
Real-Time Measurements and Characterization of Airborne Particulate Matter from a Primary Silicon Carbide Production Plant
Previous Article in Journal
Maternal Exposure to Air Pollutants and Risk of Gestational Diabetes Mellitus in Taiwan
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJERPH
Volume 14
Issue 12
10.3390/ijerph14121610
ijerph-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Protective Effects of Ambient Ozone on Incidence and Outcomes of Ischemic Stroke in Changzhou, China: A Time-Series Study

by
Yongquan Yu
1,†,
Huibin Dong
2,†,
Shen Yao
1,
Minghui Ji
1,
Xingjuan Yao
2 and
Zhan Zhang
3,*
1
Department of Occupational Medicine and Environmental Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing 211166, China
2
Department of Chronic Disease Control and Prevention, Changzhou Center for Disease Control and Prevention, 203 Taishan Road, Changzhou 213022, China
3
Department of Hygiene Analysis and Detection, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing 211166, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Int. J. Environ. Res. Public Health 2017, 14(12), 1610; https://doi.org/10.3390/ijerph14121610
Submission received: 2 November 2017 / Revised: 22 November 2017 / Accepted: 19 December 2017 / Published: 20 December 2017
Browse Figures
Versions Notes

Abstract

:
The potential beneficial effect of ozone (O3) on stroke had been identified experimentally and clinically, but these effects remain controversial in population-based studies. This study aimed to explore the epidemiological association between O3 and risk of ischemic stroke. Ischemic stroke related health data and air pollution data were obtained from the Center for Disease Control and Prevention and Environmental Monitoring Center in Changzhou between 2015 and 2016, respectively. The associations between the short-term exposure to O3 and daily ischemic stroke onsets and deaths were examined based on time-series generalized additive Poisson model. During the study period, daily ischemic stroke onsets and deaths decreased 0.340% (95% confidence interval (CI) −0.559% to −0.120%) and 0.697% (95% CI −1.103% to −0.290%) with an interquartile range (IQR) (41.1 µg/m3) increase in levels of ambient O3, respectively. The protective effects of O3 were more significant in men and elders and in the cool season than those in women and young people and in the warm season, respectively. The negative association was independent of PM2.5, PM10, SO2, NO2 or CO exposure. Acute O3 exposure was associated with decreased risk of ischemic stroke. These findings will help provide new insights into the relationship between ischemic stroke and ambient O3 concentrations.

1. Introduction

Stroke is the leading cause of death and disability-adjusted life years worldwide; approximately 16.9 million new stroke cases and 5.9 million stroke related deaths occurred in 2010 [1,2,3]. Ischemic stroke occurs when a blood vessel carrying blood to the brain is blocked by arterial thrombosis or embolism [4]. It is the major subtype of stroke (accounting for approximately 80% of all strokes) and can result in neurologic cell death and dysfunction [4,5]. Due to the enormous disease burden of ischemic stroke, numerous studies were conducted to detect the modifiable risk factors for ischemic stroke, including potentially deleterious air pollutants [6,7]. A cohort study in Hong Kong found that exposure to fine particulate matter (PM) with aerodynamic diameter less than 2.5 μm (PM2.5) were associated with higher risk of ischemic stroke [8]. An interquartile range (IQR) increase in daily average levels of PM10 was also positively associated with a 0.8% increase in ischemic stroke admissions [9]. Moreover, short-term increments in gaseous pollutants such as nitrogen dioxide (NO2), sulfur dioxide (SO2) and carbon monoxide (CO) were found to be associated with higher ischemic stroke risk [10,11]. However, only a few researches have observed the cerebrovascular effect of ozone (O3) and the results were controversial. Few of them found statistical positive associations between risk of ischemic stroke and daily O3 concentrations [12], while others found no significant associations [13,14]. Thus, it is an urgent need to document the relationship between ambient O3 levels and risk for ischemic stroke.
Ground-level O3 is a pale blue secondary pollutant, which is created by the action of ultraviolet rays on precursors such as combustion of fossil fuels and methane [15]. However, under certain circumstance, O3 may also serve as a ‘protector’ against cerebral damage. O3 major auto-hemo-therapy has been used in the treatment of ischemic disorders [16]. Oxygen-ozone gaseous mixture appeared to be effective in reverting damage of brain tissues [17]. It also can exert neuroprotective effects by regulating inflammatory response, improving cerebrovascular rheology and strengthening antioxidant in hypoxic brains [18].
In the current study, a time-series analysis was conducted to examine the associations between the short-term increment in ambient O3 concentrations and daily ischemic stroke onsets and deaths in Changzhou. Two-pollutant and multi-pollutant models were used to control the confounding pollutants. Sub-group analysis was conducted to explore the effect modification and screen the sensitive subpopulations. Acute O3 exposure was associated with decreased risk of ischemic stroke. This study will help provide new insights into the correlation between ischemic stroke and ambient O3 exposure.

2. Materials and Methods

2.1. Data Collection

Data on daily onsets and deaths for ischemic stroke were collected from cardio-cerebrovascular disease reporting system of Changzhou between 9 January 2015 and 31 December 2016. The diagnosis of ischemic stroke was on the basis of The International Classification of Diseases, Revision 10 (ICD-10) codes for ischemic stroke (I63). There were approximately 45.4 ischemic stroke cases (32,840 in total) and 5.6 ischemic stroke deaths (4028 in total) identified each day. The daily ischemic stroke counts and deaths were further stratified into groups by sex, age (young people <65 years and elders ≥65 years) and season (warm season as 1 May to 31 October and cold season as 1 November to 30 April). For the daily ischemic stroke counts, the average number in male and elder was 23.7 and 36.9, respectively. For daily ischemic stroke deaths, the average number in male and elder was 2.7 and 5.1, respectively.
Daily mean levels for ambient O3 (90.7 µg/m3, 8 h max) and other air pollutants such as PM2.5 (51.8 µg/m3), PM10 (85.3 µg/m3), NO2 (22.3 µg/m3), SO2 (38.7 µg/m3) and CO (1 mg/m3) were collected from the database of Changzhou Environmental Monitoring Center (EMC) from 9 January 2015 to 31 December 2016. The average daily temperature and relative humidity was 17.0 °C and 75%, respectively. A total of six state-controlled, two province-controlled and two city-controlled air quality monitoring stations were established to comprehensively record the variation of air pollutants levels. The air pollution concentrations used in this study were averaged from all the stations as they all represented the urban background air pollution levels. Moreover, the fixed-site air pollution data might be a good proxy for personal exposure as all the ischemic stroke patients and deaths were resided less than 40 km from the nearest station [19]. The present study was approved by the Institutional Review Board of Changzhou Center for Disease Control and Prevention, and all procedures were in accordance with prevailing ethical principles (ethnical code: 2016-01).

2.2. Statistical Analysis

Daily data for air pollutants levels and weather conditions were pooled together for the same time to match the daily ischemic stroke onsets and deaths. A longitudinal time-series design was conducted to evaluate the associations between the short-term expose to O3 and daily ischemic stroke onsets and deaths. Generalized additive model (GAM) with Poisson regression was used to calculate data and multivariable regression model was used to control the potential confounding factors:
Log [ E ( T d n ) ] = intercept + β 1 O 3 ( n − i ) + β 2 D O W + p s ( c a l e n d e r   t i m e ,   d f = 7 ) + p s ( T e m p n − i ,   d f = 5 )   + p s ( R e l a t u v e   H u m i d i y n − i ,   d f = 5 )
where E ( T d n ) was the expected daily numbers of ischemic stroke onsets or deaths on day n; O 3 ( n − i ) was the daily mean levels of O3 on day n and i was the day lag; β was vector of the coefficients; DOW was the day of week; ps () meant penalized spline function; T e m p n − i and R e l a t i v e   H u m i d i t y n − i meant average temperature and relative humidity on day n and i represented the day lag.
To detect the possible lagged effects that may occur, lag models were used with different lag days (lag 0, lag 1, lag 3 and lag 5). Furthermore, the moving average levels of O3 during 0–1 days (lag 0–1), 0–3 days (lag 0–3) and 0–5 days (lag 0–5) were detected to comprehensively evaluate the effects. Two-pollutant models by respectively adjusting PM2.5, PM10, NO2, SO2 and CO levels and multi-pollutant model by adding all the pollutants were conducted for the subsequent sensitivity analysis. Smoothing function was also used to graphically analyze the exposure-response association between daily O3 levels and log-relative risk of daily ischemic stroke onsets or deaths with a 5 df in single-pollutant model.
Statistical software R (version 3.2.3, R Foundation for Statistical Computing, Vienna, Austria) was used for data analysis and result output. The baseline data were presented as mean ± standard deviation (SD) for continuous variables. All tests were two-sided, and p < 0.05 was considered as statistically significant.

3. Results

The monthly distribution patterns of O3 and other ambient pollutants (PM2.5, PM10, SO2, NO2 and CO) were illustrated in Figure 1. The concentration of O3 was higher in warm seasons than in cool seasons (Figure 1A), whereas the concentrations of PM2.5 (Figure 1B), PM10 (Figure 1C), NO2 (Figure 1D), SO2 (Figure 1E), and CO (Figure 1F) were higher in cool seasons than in warm seasons.
The results of the single-pollutant model for daily ischemic stroke onsets and deaths were summarized in Figure 2. Statistical percent decreases (95% confidence interval (CI)) were observed in daily ischemic stroke onsets with an interquartile range (IQR) (41.1 µg/m3) increase in O3 concentrations for lag 3 (−0.220%, 95% CI −0.367% to −0.072%), lag 5 (−0.278%, 95% CI −0.421% to −0.134%) and lag 0–5 (−0.340%, 95% CI −0.559% to −0.120%) days and the association was more pronounced for lag 0–5 than lag 3 and lag 5 (Figure 2A). Therefore, lag 0–5 was used in the subsequent analysis. Negative association was also found between O3 levels and daily ischemic stroke deaths with a 5 day lag (lag 5). An IQR increment of O3 corresponded to 0.9% decrease of daily ischemic stroke deaths. No statistical association was observed at other lag days (Figure 2B).
Subgroup analyses modifying by age, gender and seasons were presented in Table 1. For daily ischemic stroke onsets, statistically negative associations were only observed among men and elders. In details, the percent decrease in daily ischemic stroke onsets with an IQR increase in O3 levels was 0.434% for men and 0.4% for elders. Moreover, the estimated effect of O3 was more significant in the cool season (−0.845%, 95% CI −1.361% to −0.326%) than in the warm season (−0.076%, 95% CI −0.398% to 0.246%). As for daily ischemic stroke deaths, similarly, statistically negative associations were also found among men (−1.040%, 95% CI −1.612% to −0.464%) and elders (−0.697%, 95% CI −1.120% to −0.273%). Moreover, the negative association in the cool season group (−1.006%, 95% CI −1.839% to −0.165%) was more pronounced than that in the warm season group (−0.714%, 95% CI −1.203% to −0.223%).
The exposure-response relationships of O3 levels with risk of ischemic stroke onsets and deaths were performed in Figure 3. The curve for daily ischemic stroke deaths was approximately linear negative (Figure 3B), whereas the smoothing spline for daily ischemic stroke onsets was negatively linear and flat at higher O3 levels (Figure 3A). Moreover, sensitivity analysis was also conducted in Figure 4. In both two-pollutant and multi-pollutant models, the effect estimates of O3 were stable for both daily ischemic stroke onsets (lag 0–5) (Figure 4A) and daily ischemic stroke deaths (lag 5) (Figure 4B).

4. Discussion

In the present study, by recording 32,840 ischemic stroke counts and 4028 ischemic stroke-related deaths, negative associations between short-term ozone exposure and daily ischemic stroke onsets or deaths were identified in Changzhou from 9 January 2015 to 31 December 2016. The beneficial effects of O3 were more significant in men, elders (>65 years) and cool season. The exposure–response curve for ischemic stroke onsets was sharply linear negative at low O3 levels (<100 µg/m3), suggesting that the low environmental O3 exposure might be beneficial more against ischemic stroke onsets and deaths. Moreover, the O3 related neuroprotective effect was independent of PM2.5, PM10, SO2, NO2 or CO exposure. Our results might have implications in preventing and treating ischemic strokes.
Previous epidemiological and clinical studies have presented incontrovertible and deleterious effects of ambient air pollutants (such as PM2.5, NO2 and SO2) on the morbidity and mortality of ischemic stroke [9,20,21]. However, in terms of O3, few studies assessed its cerebrovascular effects and no consensus has been reached. Although no statistical significance, several studies have demonstrated a negative association between average O3 levels and risk of strokes, which was consistent with our results. The estimate odds ratio (OR) for the association between ischemic stroke hospitalizations and O3 exposure was 0.98 in South Carolina and the OR for the association between previous day O3 increments and odds of recurrent stroke was 0.97 in Nueces County, Texas [13,14]. Moreover, as shown in a multicenter cohort study, adjusted OR of ischemic stroke for one standard deviation (SD) increase in O3 was 0.96 and men was more sensitive to the protector role of O3 (OR = 0.76) [22].
In ischemic strokes, the cerebral blood supply is depleted due to the embolisms or thrombosis [23]. Then the concentrations of blood oxygen and the formation of high energy phosphate compounds are dramatically decreased, leading to the depolarization, inflammation and apoptosis of the brains [24,25]. It has been reported that O3 oxidative preconditioning could attenuate ischemia/reperfusion induced hepatic and renal damages in rats. The enhanced expressions of eNOS and iNOS induced by O3 could improve and reestablish the balance of cellular redox [26,27]. O3 therapy was found to have extensive clinical applications in improving hemorheological parameters and oxygen delivery in patients with peripheral occlusive arterial disease [28]. In addition, the neuroprotective concentration-response curve for O3 was shaped as ‘U’ with efficient level range of 80–120 µg/mL in rat models [17]. Thus, it is biologically plausible that within a selective concentration range, ambient O3 may exert neuroprotective effects against ischemic stroke onsets and deaths.
In this study, the protective effects of O3 on ischemic stroke onsets and deaths were found to be stronger in men than in women. Rather than vascular risk factors related differences between genders [29,30], the underlying reason for this observation might be the higher rate of ambient O3 exposure in men than in women due to longer time with outdoor working and laboring [31]. Thus, they are more likely to be exposed and affected by ambient O3. Moreover, the negative associations between air O3 levels and ischemic stroke onsets or deaths appeared to be more pronounced in elders than in young populations. Age is a nonmodifiable risk factor for ischemic stroke, and studies have indicated that ischemic tolerance is impaired in aged murine and human [32,33,34]. It has also been found that cerebral inflammation milieu is worse and the cerebrovascular hemodynamics is lower in elders than in young populations [35,36,37]. Therefore, elders are the plausibly sensitive subpopulations upon O3 exposure.
Season differences were also conducted in the current study. Because levels of air pollutants are variably depending on weather conditions, season is normally considered as a vital modifier in ambient air pollution related biological effects [38]. As a secondary pollutant, the formation of O3 requires nitrogen oxides, hydrocarbons and sunlight. Consequently, O3 levels are routinely higher in the warm season than in the cool season due to the increment of photochemistry (as shown in Figure 1). Furthermore, according to the concentration-response curves for both ischemic stroke onsets and deaths in this study, the negative associations were stronger at the O3 concentrations below the 100 µg/m3, a concentration range normally seen in cool season. Thus, it was reasonable that the protective effects for both ischemic stroke onsets and deaths were more significant in the cool season than in warm season.
Deleterious effects of air pollution on human cardio-cerebral vascular systems have been extensively reported. In a meta-analysis of 94 studies, an increment in levels of ambient pollutants was positively associated with increased admission for stroke or mortality stroke. The pooled relative risks were 1.011 for PM2.5, 1.002 for PM10, 1.015 for CO, 1.019 for SO2 and 1.014 for NO2, respectively [39]. And the underlying mechanism by which air pollution exert as a risk factor for ischemic stroke might be that PMs and gaseous air pollutants, such SO2 and NO2 could activate astrocytes, disrupt synaptic functions and enhance endothelial and inflammatory responses of the brains [40,41,42,43]. Thus, to obtain more reliable and precise results, the potential air pollutants confounders should be taken into considerate. As shown in the sensitivity analysis, the estimated percent changes in daily ischemic stroke onsets and deaths with per IQR increment in O3 levels were coincident and stable in both two-pollutant model and multi-pollutant model, suggesting that the neuroprotective effect of O3 was reliable and independent from other air pollutants.
Several weaknesses of this study should be noted. Although air pollution data were collected from ten fixed-site monitoring stations, they could not be representative enough of individual exposure. Thus, exposure fallacy may exist. Furthermore, due to the retrospective design of this study, detailed population data respecting cigarette smoking, type of indoor home heating, residential mobility and other potential risk factors for ischemic stroke such as high blood pressure and obesity were limited. In addition, the results presented in this study should be interpreted with cautions. As the relationship between O3 exposure and decreased ischemic stroke risk may not equal to the cause-effect association. Further epidemiological studies (such as cohort study) are needed to explore the O3 related long-term effects. The current study also possessed several strengths. By identifying a crowd of ischemic stroke onsets and deaths, this study provides sufficient statistical power to evaluate the O3 related effects. Moreover, the acute protective effect of O3 on ischemic stroke was comprehensively assessed and the results are reliable and valuable in this study.

5. Conclusions

In conclusion, the current population-based time-series study indicated that acute O3 exposure was associated with decreased risk of ischemic stroke. The neuroprotective effect was more robust in the cool season, and among women and elders.

Acknowledgments

This work was supported by the Natural Science Foundation of China (81502801), a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (2014), a collegiate Natural Science Foundations of Jiangsu province (16KJB330005), the science and technology support program funded by Changzhou Municipal Science and Technology Bureau (CE20145046) and the Science and Technique Foundation for Youths by Health and Family Planning Commission of Changzhou (QN201603).

Author Contributions

Zhan Zhang conceived and designed the study; Yongquan Yu, Huibin Dong, Shen Yao, Minghui Ji and Xingjuan Yao performed the study. Yongquan Yu and Shen Yao cleaned and analyzed the data; Yongquan Yu and Huibin Dong wrote the manuscript and interpreted the results. Zhan Zhang revised the manuscript. All authors read and approved the final manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Feigin, V.L.; Forouzanfar, M.H.; Krishnamurthi, R.; Mensah, G.A.; Connor, M.; Bennett, D.A.; Moran, A.E.; Sacco, R.L.; Anderson, L.; Truelsen, T.; et al. Global and regional burden of stroke during 1990–2010: Findings from the global burden of disease study 2010. Lancet 2014, 383, 245–254. [Google Scholar] [CrossRef]
  2. Lozano, R.; Naghavi, M.; Foreman, K.; Lim, S.; Shibuya, K.; Aboyans, V.; Abraham, J.; Adair, T.; Aggarwal, R.; Ahn, S.Y.; et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: A systematic analysis for the global burden of disease study 2010. Lancet 2012, 380, 2095–2128. [Google Scholar] [CrossRef]
  3. Murray, C.J.; Vos, T.; Lozano, R.; Naghavi, M.; Flaxman, A.D.; Michaud, C.; Ezzati, M.; Shibuya, K.; Salomon, J.A.; Abdalla, S.; et al. Disability-adjusted life years (dalys) for 291 diseases and injuries in 21 regions, 1990–2010: A systematic analysis for the global burden of disease study 2010. Lancet 2012, 380, 2197–2223. [Google Scholar] [CrossRef]
  4. Deb, P.; Sharma, S.; Hassan, K.M. Pathophysiologic mechanisms of acute ischemic stroke: An overview with emphasis on therapeutic significance beyond thrombolysis. Pathophysiology 2010, 17, 197–218. [Google Scholar] [CrossRef] [PubMed]
  5. Fernandez-Lopez, D.; Natarajan, N.; Ashwal, S.; Vexler, Z.S. Mechanisms of perinatal arterial ischemic stroke. J. Cereb. Blood Flow Metab. 2014, 34, 921–932. [Google Scholar] [CrossRef] [PubMed]
  6. Argacha, J.F.; Bourdrel, T.; van de Borne, P. Ecology of the cardiovascular system: A focus on air-related environmental factors. Trends Cardiovasc. Med. 2017. [Google Scholar] [CrossRef] [PubMed]
  7. Wang, Y.; Eliot, M.N.; Wellenius, G.A. Short-term changes in ambient particulate matter and risk of stroke: A systematic review and meta-analysis. J. Am. Heart Assoc. 2014, 3, e000983. [Google Scholar] [CrossRef] [PubMed]
  8. Qiu, H.; Sun, S.; Tsang, H.; Wong, C.M.; Lee, R.S.; Schooling, C.M.; Tian, L. Fine particulate matter exposure and incidence of stroke: A cohort study in Hong Kong. Neurology 2017, 88, 1709–1717. [Google Scholar] [CrossRef] [PubMed]
  9. Liu, H.; Tian, Y.; Xu, Y.; Zhang, J. Ambient particulate matter concentrations and hospitalization for stroke in 26 Chinese cities: A case-crossover study. Stroke 2017, 48, 2052–2059. [Google Scholar] [CrossRef] [PubMed]
  10. Bedada, G.B.; Smith, C.J.; Tyrrell, P.J.; Hirst, A.A.; Agius, R. Short-term effects of ambient particulates and gaseous pollutants on the incidence of transient ischaemic attack and minor stroke: A case-crossover study. Environ. Health 2012, 11, 77. [Google Scholar] [CrossRef] [PubMed]
  11. Yang, W.S.; Wang, X.; Deng, Q.; Fan, W.Y.; Wang, W.Y. An evidence-based appraisal of global association between air pollution and risk of stroke. Int. J. Cardiol. 2014, 175, 307–313. [Google Scholar] [CrossRef] [PubMed]
  12. Wing, J.J.; Sanchez, B.N.; Adar, S.D.; Meurer, W.J.; Morgenstern, L.B.; Smith, M.A.; Lisabeth, L.D. Synergism of short-term air pollution exposures and neighborhood disadvantage on initial stroke severity. Stroke 2017, 48, 3126–3129. [Google Scholar] [CrossRef] [PubMed]
  13. Montresor-Lopez, J.A.; Yanosky, J.D.; Mittleman, M.A.; Sapkota, A.; He, X.; Hibbert, J.D.; Wirth, M.D.; Puett, R.C. Short-term exposure to ambient ozone and stroke hospital admission: A case-crossover analysis. J. Expo. Sci. Environ. Epidemiol. 2016, 26, 162–166. [Google Scholar] [CrossRef] [PubMed]
  14. Wing, J.J.; Adar, S.D.; Sanchez, B.N.; Morgenstern, L.B.; Smith, M.A.; Lisabeth, L.D. Short-term exposures to ambient air pollution and risk of recurrent ischemic stroke. Environ. Res. 2017, 152, 304–307. [Google Scholar] [CrossRef] [PubMed]
  15. Shah, A.S.; Newby, D.E.; Mills, N.L. Potential link between ozone and recurrent stroke. Heart 2010, 96, 1953–1954. [Google Scholar] [CrossRef] [PubMed]
  16. Sancak, E.B.; Turkon, H.; Cukur, S.; Erimsah, S.; Akbas, A.; Gulpinar, M.T.; Toman, H.; Sahin, H.; Uzun, M. Major ozonated autohemotherapy preconditioning ameliorates kidney ischemia-reperfusion injury. Inflammation 2016, 39, 209–217. [Google Scholar] [CrossRef] [PubMed]
  17. Frosini, M.; Contartese, A.; Zanardi, I.; Travagli, V.; Bocci, V. Selective ozone concentrations may reduce the ischemic damage after a stroke. Free Radic. Res. 2012, 46, 612–618. [Google Scholar] [CrossRef] [PubMed]
  18. Clavo, B.; Suarez, G.; Aguilar, Y.; Gutierrez, D.; Ponce, P.; Cubero, A.; Robaina, F.; Carreras, J.L. Brain ischemia and hypometabolism treated by ozone therapy. Forsch. Komplementmed. 2011, 18, 283–287. [Google Scholar] [CrossRef] [PubMed]
  19. Xie, W.; Li, G.; Zhao, D.; Xie, X.; Wei, Z.; Wang, W.; Wang, M.; Li, G.; Liu, W.; Sun, J.; et al. Relationship between fine particulate air pollution and ischaemic heart disease morbidity and mortality. Heart 2015, 101, 257–263. [Google Scholar] [CrossRef] [PubMed]
  20. Guo, P.; Wang, Y.; Feng, W.; Wu, J.; Fu, C.; Deng, H.; Huang, J.; Wang, L.; Zheng, M.; Liu, H. Ambient air pollution and risk for ischemic stroke: A short-term exposure assessment in South China. Int. J. Environ. Res. Public Health 2017, 14, 1091. [Google Scholar] [CrossRef] [PubMed]
  21. Vidale, S.; Arnaboldi, M.; Bosio, V.; Corrado, G.; Guidotti, M.; Sterzi, R.; Campana, C. Short-term air pollution exposure and cardiovascular events: A 10-year study in the urban area of Como, Italy. Int. J. Cardiol. 2017, 248, 389–393. [Google Scholar] [CrossRef] [PubMed]
  22. Mechtouff, L.; Canoui-Poitrine, F.; Schott, A.M.; Nighoghossian, N.; Trouillas, P.; Termoz, A.; Porthault-Chatard, S.; David, J.S.; Chasles, V.; Derex, L. Lack of association between air pollutant exposure and short-term risk of ischaemic stroke in Lyon, France. Int. J. Stroke 2012, 7, 669–674. [Google Scholar] [CrossRef] [PubMed]
  23. Veltkamp, R.; Gill, D. Clinical trials of immunomodulation in ischemic stroke. Neurotherapeutics 2016, 13, 791–800. [Google Scholar] [CrossRef] [PubMed]
  24. Doyle, K.P.; Simon, R.P.; Stenzel-Poore, M.P. Mechanisms of ischemic brain damage. Neuropharmacology 2008, 55, 310–318. [Google Scholar] [CrossRef] [PubMed]
  25. Zhao, H.; Steinberg, G.K.; Sapolsky, R.M. General versus specific actions of mild-moderate hypothermia in attenuating cerebral ischemic damage. J. Cereb. Blood Flow Metab. 2007, 27, 1879–1894. [Google Scholar] [CrossRef] [PubMed]
  26. Ajamieh, H.H.; Menendez, S.; Martinez-Sanchez, G.; Candelario-Jalil, E.; Re, L.; Giuliani, A.; Fernandez, O.S. Effects of ozone oxidative preconditioning on nitric oxide generation and cellular redox balance in a rat model of hepatic ischaemia-reperfusion. Liver Int. 2004, 24, 55–62. [Google Scholar] [CrossRef] [PubMed]
  27. Chen, H.; Xing, B.; Liu, X.; Zhan, B.; Zhou, J.; Zhu, H.; Chen, Z. Ozone oxidative preconditioning protects the rat kidney from reperfusion injury: The role of nitric oxide. J. Surg. Res. 2008, 149, 287–295. [Google Scholar] [CrossRef] [PubMed]
  28. Giunta, R.; Coppola, A.; Luongo, C.; Sammartino, A.; Guastafierro, S.; Grassia, A.; Giunta, L.; Mascolo, L.; Tirelli, A.; Coppola, L. Ozonized autohemotransfusion improves hemorheological parameters and oxygen delivery to tissues in patients with peripheral occlusive arterial disease. Ann. Hematol. 2001, 80, 745–748. [Google Scholar] [CrossRef] [PubMed]
  29. Cordonnier, C.; Sprigg, N.; Sandset, E.C.; Pavlovic, A.; Sunnerhagen, K.S.; Caso, V.; Christensen, H. Stroke in women—From evidence to inequalities. Nat. Rev. Neurol. 2017, 13, 521–532. [Google Scholar] [CrossRef] [PubMed]
  30. Hart, J.E.; Puett, R.C.; Rexrode, K.M.; Albert, C.M.; Laden, F. Effect modification of long-term air pollution exposures and the risk of incident cardiovascular disease in us women. J. Am. Heart Assoc. 2015, 4, e002301. [Google Scholar] [CrossRef] [PubMed]
  31. Qiu, H.; Yu, I.T.; Wang, X.; Tian, L.; Tse, L.A.; Wong, T.W. Cool and dry weather enhances the effects of air pollution on emergency IHD hospital admissions. Int. J. Cardiol. 2013, 168, 500–505. [Google Scholar] [CrossRef] [PubMed]
  32. Abete, P.; Cacciatore, F.; Testa, G.; Della-Morte, D.; Galizia, G.; de Santis, D.; Calabrese, C.; Cioppa, A.; Ferrara, N.; Rengo, F. Ischemic preconditioning in the aging heart: From bench to bedside. Ageing Res. Rev. 2010, 9, 153–162. [Google Scholar] [CrossRef] [PubMed]
  33. Ishihara, M.; Sato, H.; Tateishi, H.; Kawagoe, T.; Shimatani, Y.; Ueda, K.; Noma, K.; Yumoto, A.; Nishioka, K. Beneficial effect of prodromal angina pectoris is lost in elderly patients with acute myocardial infarction. Am. Heart J. 2000, 139, 881–888. [Google Scholar] [CrossRef]
  34. Peart, J.N.; Pepe, S.; Reichelt, M.E.; Beckett, N.; See Hoe, L.; Ozberk, V.; Niesman, I.R.; Patel, H.H.; Headrick, J.P. Dysfunctional survival-signaling and stress-intolerance in aged murine and human myocardium. Exp. Gerontol. 2014, 50, 72–81. [Google Scholar] [CrossRef] [PubMed]
  35. Agarwal, S.; Scoffings, D.J.; Jones, P.S.; Marrapu, S.T.; Barry, P.J.; O’Brien, E.W.; Baron, J.C.; Warburton, E.A. Interaction of age with the ischaemic penumbra, leptomeningeal collateral circulation and haemodynamic variables in acute stroke: A pilot study. J. Neurol. Neurosurg. Psychiatry 2013, 84, 271–276. [Google Scholar] [CrossRef] [PubMed]
  36. Giantin, V.; Semplicini, A.; Franchin, A.; Simonato, M.; Baccaglini, K.; Attanasio, F.; Toffanello, E.D.; Manzato, E. Outcome after acute ischemic stroke (AIS) in older patients: Effects of age, neurological deficit severity and blood pressure (BP) variations. Arch. Gerontol. Geriatr. 2011, 52, e185–e191. [Google Scholar] [CrossRef] [PubMed]
  37. Leira, R.; Millan, M.; Diez-Tejedor, E.; Blanco, M.; Serena, J.; Fuentes, B.; Rodriguez-Yanez, M.; Castellanos, M.; Lago, A.; Davalos, A.; et al. Age determines the effects of blood pressure lowering during the acute phase of ischemic stroke: The TICA study. Hypertension 2009, 54, 769–774. [Google Scholar] [CrossRef] [PubMed]
  38. Tong, L.; Li, K.; Zhou, Q. Season, sex and age as modifiers in the association of psychosis morbidity with air pollutants: A rising problem in a Chinese metropolis. Sci. Total Environ. 2016, 541, 928–933. [Google Scholar] [CrossRef] [PubMed]
  39. Shah, A.S.; Lee, K.K.; McAllister, D.A.; Hunter, A.; Nair, H.; Whiteley, W.; Langrish, J.P.; Newby, D.E.; Mills, N.L. Short term exposure to air pollution and stroke: Systematic review and meta-analysis. BMJ 2015, 350, h1295. [Google Scholar] [CrossRef] [PubMed]
  40. Guo, L.; Li, B.; Miao, J.J.; Yun, Y.; Li, G.K.; Sang, N. Seasonal variation in air particulate matter (PM10) exposure-induced ischemia-like injuries in the rat brain. Chem. Res. Toxicol. 2015, 28, 431–439. [Google Scholar] [CrossRef] [PubMed]
  41. Sang, N.; Yun, Y.; Li, H.; Hou, L.; Han, M.; Li, G. SO2 inhalation contributes to the development and progression of ischemic stroke in the brain. Toxicol. Sci. 2010, 114, 226–236. [Google Scholar] [CrossRef] [PubMed]
  42. Zhu, N.; Li, H.; Han, M.; Guo, L.; Chen, L.; Yun, Y.; Guo, Z.; Li, G.; Sang, N. Environmental nitrogen dioxide (NO2) exposure influences development and progression of ischemic stroke. Toxicol. Lett. 2012, 214, 120–130. [Google Scholar] [CrossRef] [PubMed]
  43. Zhang, C.; Meng, Q.; Zhang, X.; Wu, S.; Wang, S.; Chen, R.; Li, X. Role of astrocyte activation in fine particulate matter-enhancement of existing ischemic stroke in sprague-dawley male rats. J. Toxicol. Environ. Health A 2016, 79, 393–401. [Google Scholar] [CrossRef] [PubMed]
Ijerph 14 01610 g001 550
Figure 1. Monthly distribution patterns of ambient pollutants in Changzhou, 2015–2016. (A) O3 indicates ozone; (B) PM2.5, particulate matter that is ≤2.5 µm in diameter; (C) PM10, particulate matter that is ≤10 µm in diameter; (D) NO2, nitrogen dioxide; (E) SO2, sulfur dioxide; (F) CO, carbon monoxide.
Figure 1. Monthly distribution patterns of ambient pollutants in Changzhou, 2015–2016. (A) O3 indicates ozone; (B) PM2.5, particulate matter that is ≤2.5 µm in diameter; (C) PM10, particulate matter that is ≤10 µm in diameter; (D) NO2, nitrogen dioxide; (E) SO2, sulfur dioxide; (F) CO, carbon monoxide.
Ijerph 14 01610 g001
Ijerph 14 01610 g002 550
Figure 2. The percentage changes in daily ischemic stroke onsets (A) and deaths (B) with per interquartile range increment in O3 concentrations at different lag days in single-pollutant models in Changzhou, 2015–2016. The data was expressed as mean with 95% confidence interval. O3 indicates ozone.
Figure 2. The percentage changes in daily ischemic stroke onsets (A) and deaths (B) with per interquartile range increment in O3 concentrations at different lag days in single-pollutant models in Changzhou, 2015–2016. The data was expressed as mean with 95% confidence interval. O3 indicates ozone.
Ijerph 14 01610 g002
Ijerph 14 01610 g003 550
Figure 3. The exposure-response relationships of O3 levels with ischemic stroke onsets (A) and deaths (B) at selected lag days (lag 0–5 for ischemic stroke onsets and lag 5 for daily ischemic stroke deaths) in single-pollutant models in Changzhou, 2015–2016. The data was expressed as mean with 95% confidence interval. O3 indicates ozone.
Figure 3. The exposure-response relationships of O3 levels with ischemic stroke onsets (A) and deaths (B) at selected lag days (lag 0–5 for ischemic stroke onsets and lag 5 for daily ischemic stroke deaths) in single-pollutant models in Changzhou, 2015–2016. The data was expressed as mean with 95% confidence interval. O3 indicates ozone.
Ijerph 14 01610 g003
Ijerph 14 01610 g004 550
Figure 4. The percentage changes in daily ischemic stroke onsets (A) and deaths (B) with per interquartile range increment in O3 concentrations at selected lag days (lag 0–5 for ischemic stroke onsets and lag 5 for daily ischemic stroke deaths) in two-pollutant and multi-pollutant models in Changzhou, 2015–2016. The data was expressed as mean with 95% confidence interval. O3 indicates ozone; PM2.5, particulate matter that is ≤2.5 µm in diameter; PM10, particulate matter that is ≤10 µm in diameter; NO2, nitrogen dioxide; SO2, sulfur dioxide; CO, carbon monoxide.
Figure 4. The percentage changes in daily ischemic stroke onsets (A) and deaths (B) with per interquartile range increment in O3 concentrations at selected lag days (lag 0–5 for ischemic stroke onsets and lag 5 for daily ischemic stroke deaths) in two-pollutant and multi-pollutant models in Changzhou, 2015–2016. The data was expressed as mean with 95% confidence interval. O3 indicates ozone; PM2.5, particulate matter that is ≤2.5 µm in diameter; PM10, particulate matter that is ≤10 µm in diameter; NO2, nitrogen dioxide; SO2, sulfur dioxide; CO, carbon monoxide.
Ijerph 14 01610 g004
Table
Table 1. Subgroup analyses of the associations between ambient O3 levels and daily ischemic stroke onsets and deaths modifying by age, gender and seasons.
Table 1. Subgroup analyses of the associations between ambient O3 levels and daily ischemic stroke onsets and deaths modifying by age, gender and seasons.
VariablesIschemic Stroke OnsetsIschemic Stroke Deaths
Total−0.340 (−0.559, −0.120) †−0.697 (−1.103, −0.290) ‡
Age ≤ 65−0.098 (−0.585, 0.391)−0.615 (−2.018, 0.809)
Age > 65−0.400 (−0.643, −0.157) †−0.697 (−1.120, −0.273) †
Men−0.434 (−0.738, −0.13) †−1.040 (−1.612, −0.464) ‡
Women−0.267 (−0.584, 0.051)−0.387 (−0.960, 0.188)
Cold Season−0.845 (−1.361, −0.326) †−1.006 (−1.839, −0.165) *
Warm Season−0.076 (−0.398, 0.246)−0.714 (−1.203, −0.223) †
The data was expressed as mean with 95% confidence interval, * p < 0.05, † p < 0.01, ‡ p < 0.001.

Share and Cite

MDPI and ACS Style

Yu, Y.; Dong, H.; Yao, S.; Ji, M.; Yao, X.; Zhang, Z. Protective Effects of Ambient Ozone on Incidence and Outcomes of Ischemic Stroke in Changzhou, China: A Time-Series Study. Int. J. Environ. Res. Public Health 2017, 14, 1610. https://doi.org/10.3390/ijerph14121610

AMA Style

Yu Y, Dong H, Yao S, Ji M, Yao X, Zhang Z. Protective Effects of Ambient Ozone on Incidence and Outcomes of Ischemic Stroke in Changzhou, China: A Time-Series Study. International Journal of Environmental Research and Public Health. 2017; 14(12):1610. https://doi.org/10.3390/ijerph14121610

Chicago/Turabian Style

Yu, Yongquan, Huibin Dong, Shen Yao, Minghui Ji, Xingjuan Yao, and Zhan Zhang. 2017. "Protective Effects of Ambient Ozone on Incidence and Outcomes of Ischemic Stroke in Changzhou, China: A Time-Series Study" International Journal of Environmental Research and Public Health 14, no. 12: 1610. https://doi.org/10.3390/ijerph14121610

APA Style

Yu, Y., Dong, H., Yao, S., Ji, M., Yao, X., & Zhang, Z. (2017). Protective Effects of Ambient Ozone on Incidence and Outcomes of Ischemic Stroke in Changzhou, China: A Time-Series Study. International Journal of Environmental Research and Public Health, 14(12), 1610. https://doi.org/10.3390/ijerph14121610

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop