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Article

Direct Exposure to Outdoor Air Pollution Worsens the Functional Status of Stroke Patients Treated with Mechanical Thrombectomy

1
Department of Neurology, School of Health Sciences, Medical University of Silesia in Katowice, 40-055 Katowice, Poland
2
Department of Neurology, Upper-Silesian Medical Centre of the Silesian Medical University in Katowice, 40-635 Katowice, Poland
3
Faculty of Automatic Control Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, Poland
4
Biotechnology Center, Silesian University of Technology, 44-100 Gliwice, Poland
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2024, 13(3), 746; https://doi.org/10.3390/jcm13030746
Submission received: 20 December 2023 / Revised: 14 January 2024 / Accepted: 24 January 2024 / Published: 27 January 2024
(This article belongs to the Topic Diagnosis and Management of Acute Ischemic Stroke)

Abstract

:
Background The effect of air pollutants on the functional status of stroke patients in short-term follow-up is unknown. The aim of this study was to evaluate the effect of air pollution occurring in the stroke period and during hospitalization on the functional status of patients undergoing mechanical thrombectomy (MT). Methods Our study included stroke patients for which the individual-level exposure to ambient levels of O3, CO, SO2, NO2, PM2.5, and PM10 during the acute stroke period was assessed. The correlations between the air pollutants’ concentration and the patients’ functional state were analyzed. A total of 499 stroke patients (mean age: 70) were qualified. Results The CO concentration at day of stroke onset was found to be significant regarding the functional state of patients on the 10th day (OR 0.014 95% CI 0–0.908, p = 0.048). The parameters which increased the risk of death in the first 10 days were as follows: NIHSS (OR 1.27; 95% CI 1.15–1.42; p < 0.001), intracranial bleeding (OR 4.08; 95% CI 1.75–9.76; p = 0.001), and SO2 concentration on day 2 (OR 1.21; 95% CI 1.02–1.47; p = 0.03). The parameters which increased the mortality rate within 90 days include age (OR 1.07; 95% CI 1.02–1.13; p = 0.005) and NIHSS (OR 1.37; 95% CI 1.19–1.63; p < 0.001). Conclusions Exposure to air pollution with CO and SO2 during the acute stroke phase has adverse effects on the patients’ functional status. A combination of parameters, such as neurological state, hemorrhagic transformation, and SO2 exposure, is unfavorable in terms of the risk of death during a hospitalization due to stroke. The risk of a worsened functional status of patients in the first month of stroke rises along with the increase in particulate matter concentrations within the first days of stroke.

1. Introduction

Ischemic stroke (IS) is a multifactorial disease. The various modifiable factors that may contribute to stroke include smoking, lack of physical activity, substance abuse, air pollution, and transportation noise [1,2]. Acute exposure to air pollution increases the risk of vascular diseases, including stroke and death [3,4,5,6]. Mechanical thrombectomy (MT) has established its efficacy as a causative treatment for acute ischemic stroke with large vessel occlusion. To date, some independent factors regarding the prognosis of the functional status of patients after MT have been identified, including age, the neurological status on the first day of the stroke, as well as selected clinical parameters, including hyperglycemia on the first day of the stroke, chronic kidney disease, and atrial fibrillation [7,8,9,10,11]. Some authors have demonstrated the important role of air pollution on stroke morbidity and mortality, independent of the treatment methods of stroke [12,13,14].
Air pollutants are composed of particulate matter (a mixture of solid particles and liquids) and gaseous components. The results of previous studies indicate a close association between mortality and air dust content; however, a higher concentration of gases, such as carbon monoxide, nitrogen dioxide, and sulfur dioxide, have less influence on the prevalence of vascular diseases and mortality [15]. According to the published observations, the admission of patients to hospital for neurological diseases, including cerebral ischemia on dusty days, increased significantly compared to days when air pollution was low [16].
To date, a cause-and-effect relationship between air pollution and stroke incidence has been repeatedly proven. However, the effect of air pollutants on the acute phase of stroke or the post-stroke status of patients during short-term follow-up is unknown as of yet. The eye conjunctiva and the respiratory system as well as the gastrointestinal tract are the first barrier for air pollutants [17,18,19]. The particles responsible for air pollution were shown to have prothrombotic and proinflammatory effects [20]. Inflammatory mediators can enter the circulatory system, stimulate the release of coagulation factors, impair vascular function, and increase thrombosis, which can lead to mortality from vascular diseases [21]. In preclinical studies, the exposure to ambient dust particulate matter increased brain edema and blood–brain barrier permeability by increasing the inflammatory responses and oxidative stress [22].
Silesia is a very heavily industrialized region in southwestern Poland. Heavy industry is the highest contributor to air pollution when compared to other Polish cities. The incidence of stroke in the Silesia region is greater than that observed in other regions of Poland [23].
The aim of this study was to evaluate the effect of air pollution occurring over two days immediately preceding stroke symptoms and in the acute stage of stroke (the stroke onset day, the second, the fifth, and the eighth day), on the functional status on day 10 and day 90 in patients undergoing endovascular treatment at the Center for Interventional Stroke Treatment in Katowice, the Silesian Metropolis.

2. Methods

A retrospective study included patients treated with mechanical thrombectomy (MT) due to stroke in the Medical Centre at the Silesian Medical University in Katowice over the period of 42 months (2019–2022). All our patients, residents of Katowice or other Silesian cities who underwent MT in the period mentioned above, were initially enrolled in the study. The key inclusion criteria were as follows: first ever stroke, staying in Silesia during the acute stage of the disease, LVO stroke, and endovascular treatment. Those patients who were included in the study were chosen based on the analysis of the following criteria: age at the time of first ever stroke; present comorbidities, such as atrial fibrillation (AF), arterial hypertension (AH), coronary heart disease (CHD), diabetes mellitus (DM), lipid disorders (LD), and >70% atherosclerotic carotid artery stenosis according to the NASCET (North American Symptomatic Carotid Endarterectomy Trial) criteria (CAS, ipsilaterally to the acute ischemic brain lesion) [24]; neurological condition on the first and second day of stroke, as evaluated using the National Institute of Health Stroke Scale (NIHSS) [25]; functional status on days 10 and 90 following stroke as per the modified Rankin Scale (mRS) [26]; head computed tomography (CT) results at 24 h after MT.
We assessed individual-level exposure to ambient levels of ozone (O3), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), and particulate matter PM2.5 (PM2.5—particles with aerodynamic diameter <2.5 μm) and PM10 (PM10—particles with aerodynamic diameter <10 μm) in the study period.
The data on dust particle and gas air pollution in Katowice and adjacent cities were obtained from the Environmental Protection Inspectorate (state-owned institution), which measures, collects, and analyzes data and publishes them on its website [27]. The data collected related to air pollution in the areas where each patient stayed for two days directly before the stroke, on the day of stroke onset, and on days 5 and 8 of hospitalization.
AF was diagnosed on the basis of previous patient medical records/ECG or a 24 h ECG monitoring performed during hospitalization. Hemorrhagic lesions were evaluated based on head CT performed at 24 h after MT and the ECASS (European Cooperative Acute Stroke Study scale) [28].
Multivariable models were built using binary logistic regression for binary outcomes. The model variable selection procedures included automatic selection (stepwise, forward, and backward) based on the AIC (Akaike information criterion) and BIC (Bayesian information criterion) [29,30]. For the evaluation of the accuracy of model predictions, a “leave-one-out” procedure to avoid data leakage so as not to cause over-fitting and the AUC (area under the ROC curve) estimator were used. All statistical analyses were performed using R version 3.6.1.
The following parameters were analyzed using logistic regression: age; sex; AF; AH; CHD; DM; LD; >70% CAS; nicotinism; thrombolysis in cerebral infarct (TICI) scale; intracranial bleeding (ICB) after intervention, including symptomatic ICB, NIHSS, rtPA (recombinant tissue plasminogen activator); and the concentrations of O3, CO, SO2, NO2, PM2.5, and PM10 on the days prior to hospitalization (−2, −1), the day of stroke onset (0), and day 5 as well as day 8 of hospitalization.
We divided the pollution data (various contaminants) into four quartiles. In each quartile, we determined the frequency of poor functional outcomes (mRS > 2). We used the Pearson’s correlation coefficient test to check if the frequency of the poor functional outcomes grows or decreases monotonically. A p-value of less than 0.05 was considered statistically significant.
This study was approved by the local ethics committee (Bioethics Committee of the Medical University of Silesia in Katowice, PCN/CBM/0052/KB1/98/1/22 signed on 4 October 2022) in accordance with local and regional laws and was therefore performed in accordance with the ethical standards of the 1964 Declaration of Helsinki and its subsequent amendments. Due to the retrospective nature of the study, the informed consent of patients was waived in accordance with commission and local laws.

3. Results

A total of 504 stroke patients (mean age: 70 (19–92); female: 46.9%) hospitalized within 42 months (2019–2022) and treated with MT in the ultra-acute stroke period (≤6 h), were initially qualified for a retrospective study. The subjects made up 31.18% of all patients treated for ischemic stroke in the Upper-Silesian Medical Centre at the Silesian Medical University in Katowice in the above-mentioned period (1616 stroke patients). Additionally, we excluded five patients who underwent MT (full medical records were unattainable). Out of the 499 patients included, 317 (62.89%) were treated with recombinant tissue plasminogen activator (rtPA) + MT. The process of patient qualification is presented in Figure 1.
The characteristics of the patients enrolled in the study are shown in Table 1.
The concentration of individual particles polluting the air was generally stable as was shown in the Figure 2. There was slight decrease in the SO2 concentration on the first day after onset as well as a decrease in concentrations of other gaseous components and particulate matter on the fifth day of stroke.
The fluctuations of air pollutant concentrations in the all study period are presented in the Supplementary Materials Tables S1 and S2.
Independent parameters of poor functional status according to the mRS on day 10 and day 90 after the onset were identified; these are shown in Table 2 and Table 3, respectively.
Among all study parameters influencing on the bad functional status on the 10th day of stroke, the independent effect had the parameters as follows: the neurological state on the 2nd day of stroke (according to NIHSS), TICI score, MT time, the burden of DM and/or LD and/or smoking as well as the air concentration of the CO.
The independent effect on the bad functional status on the 90th day of stroke had the parameters as follows: the age, the neurological state on the 2nd day of stroke (according to NIHSS), and the symptomatic cerebral bleeding in the CT of the head 24 h after MT (Table 4).
The receiver operating characteristic (ROC) curves of the regression model analysis of the impact phenodata on a worsened functional status of patients (>2 points on the modified Rankin Scale) on the 10th and 90th day of stroke are presented in the Supplementary Materials.
The independent parameters which increase the risk of death within 90 days of the onset include age (OR 1.07; 95% CI 1.02–1.13; p = 0.005) and NIHSS on day two (OR 1.37; 95% CI 1.19–1.63; p < 0.001).
The PM 2.5 pollution on the first day of stroke influenced on poor functional outcome of our patients at discharge. It was statistically significant with high positive correlation coefficient. Similarly, the incorrect concentrations of PM2.5 on the 5th day as well as the concentration of PM10 on the 8th day was important for bad functional outcomes on the 30th day. The results were statistically significant with high positive correlation coefficient (Table S3 in Supplementary Materials).

4. Discussion

The main result of the study is that regardless of a patient’s clinical profile, exposure during the acute period of stroke to air polluted with CO and SO2 had adverse effects on the course of stroke, and it worsened the prognosis in terms of a patient’s functional status and death within 10 days. However, no significant effect resulting from potential air pollution exposure during the acute stroke period was demonstrated on the functional status of patients and their prognoses for the subsequent three months.
In our study, both a severe neurological state and symptomatic intracranial hemorrhage increased the risk of death in the early days after the onset. Similarly, the neurological state of our patients and a patient’s older age had an unfavorable effect on the risk of death in the first three months after the onset of stroke.
Convincing evidence shows that exposure to air pollution is associated with an increasing risk of atherosclerosis, stroke, and heart failure [3,6,21]. The cardiovascular response to air pollution is modulated by the chemical composition of pollutants and their concentration at exposure, the duration of such exposure, individual vulnerability, comorbidities, and the changes in meteorological parameters, such as temperature, humidity and ambient pressure [31]. Exposure to air pollution has been associated with stroke hospitalization but the evidence of its effects on ischemic stroke is limited and inconsistent [15,16]. The type of air pollutants can be different according to geographical, social, and industrial circumstances. We decided to analyze the potential influence of the most common gases and particles on selected clinical aspects in stroke patients treated with MT. It is important to identify how air pollution or limited access to the natural environment contribute to stroke burden.
Some authors have investigated the association between chronic particulate matter exposure, incidental stroke, and stroke-related death. The pooled hazard ratio for each increase in PM2.5 levels by 5 μg/m3 was 1.11 (95% CI 1.05–1.17) for incidental stroke was the same for stroke-related death [32]. The presented study shows no relationship between PM pollution and the post-stroke functional status of patients. The inconsistencies may be due to some modifiable factors, like seasonal and meteorological parameters, as well as due to the patient’s clinical profile. Moreover, studies conducted on populations of various continents have brought varied results. A significant relationship between PM2.5 levels and incidental stroke has previously been found regarding Europe and North America, whereas a pooled result in Asia was insignificant [33]. The link between hypercoagulability and exposure to PM2.5 has been suggested, as well as the prothrombotic effect of soluble metal compounds (e.g., sulfate) [34,35,36,37,38].
According to the results obtained in this study, CO exposure proved to be significant for the functional status of patients; poor neurological condition, symptomatic intracranial hemorrhage, and exposure to SO2 pollution increased the risk of death in the acute period of stroke. The unfavorable effects of polluted air during the first hours of stroke can be demonstrated by several pathogeneses of risk factors. Such effects are most probably associated with an inflammatory process, oxidative stress, and autonomic dysfunction. Inhalation of SO2 can affect heart rate variability, increase oxidation, and exacerbate blood clotting and thrombosis formation [38,39,40,41].
In the presented study, an increase in the presence of CO in the air during the early days of stroke was an independent parameter influencing the functional status of acute stroke patients. In accordance with previous study results, exposure to air polluted with CO increased the risk of stroke. Our results indicate an additional adverse effect of gas during the course of the acute period of stroke. The concentration of CO in air is not deleterious for humans but, with continuous industrial developments, the use of coal and petroleum has increased CO emissions and has certainly impacted human health [42,43]. The latest results identified CO air pollution to be a new important risk factor for stroke [42,43,44]. This effect may be due to seasonal differences in CO exposure or CO air pollution [13]. Varied susceptibility associated with sex and age might be related to a patient’s lifestyle. The elderly with weaker immune systems and underlying chronic diseases might be more sensitive to air pollution exposure. A study conducted in Taiwan found that CO was significantly and positively associated with stroke hospitalizations in a single-pollutant model but insignificant in a multi-pollutant model [45]. Contrarily, a study conducted in Hong Kong did not find an association between ambient CO concentrations and stroke hospitalizations [46]. Inconsistent results pertaining to the association between CO and stroke might be attributable to variations, including air pollution levels, definitions of the outcomes, weather conditions, and susceptibility among certain populations. Regardless, the daily or seasonally changes in air pollutant concentrations can cause health damage [47].
Previous studies have proved that environmental NO2 exposure was associated with an increased risk of stroke in areas of heavy air pollution [48,49]. Ozone (O3) is a secondary pollutant with strong oxidizing properties [50]. In recent years, the concentrations of other pollutants, such as fine particulate matter (PM2.5), have decreased, whereas ambient O3 concentration is stable or has gradually increased globally [1]. In our study, exposure to NO2 or ozone was not found to be a factor that would independently influence the course of stroke. There is the presumed concentration-response curve threshold above which the effect of harmful pollutants is present.
According to our study, the combination of clinical factors and air pollution with SO2 and CO is significant for the functional status of stroke patients treated with MT.
The negative impact of the above-mentioned gases was observed in the acute period of stroke. Exposure to CO and SO2 may result in several pathophysiological changes related to the acute stage of stroke, such as local and systemic inflammation and a predisposition to cardiac arrhythmias. It is difficult to clearly state how exposure to these gases affects the functional state of patients in the chronic period of the stroke. According to the results of our study, the impact is neutral.
It is probable that the effect of air pollutants is modified by other variables (including comorbidities, emotional stress psychosocial parameters, temperature, traffic noise, and the synergistic effect of a mixture of pollutants). The potential effect may also be related to the concentration of the air pollutants during exposure. There is insufficient evidence concerning the health effects of exposure to pollutant concentrations lower than the current limits set by the European Union and World Health Organization. Independently, the data can vary by region of the world.
The World Health Organization has shown that approximately 20% of air pollution-related deaths are due to cerebral ischemia [51]. Another report revealed a downward trend in the mortality rate resulting from ischemic stroke attributed to exposure to air pollution; however, the data varied by world region [52]. According to the results of this study, mortality in the first three months was only influenced by age and the neurological condition in the first days of stroke.
Our results suggest an urgent need to control air pollution, especially in industrial regions and those with heavy road traffic. The identification of modifiable risk factors for stroke has substantial public health implications. As reported by Spanish researchers, residential developments surrounded by green areas were related to a lower incidence of IS [53]. It is also possible that greenery reduces the risk of a severe course of stroke; however, this area requires further research. Not all air pollutants are being monitored. There are countless potential pollutants, and new chemicals are constantly emerging as a result of interactions between existing ones. Therefore, most pollutants have never been assessed for toxicity and risk to stroke patients.
Our paper has some limitations. Firstly, it is retrospective. Next, it lacks any analysis of the meteorological parameters which can modify the influence of air pollution on a patient’s clinical status and the course of stroke. We did not consider the influence of other potentially relevant environmental determinants linked with the course of stroke, such as noise. In some cases, the information regarding air pollution exposition could be imprecise due to the potential migration of patients in the short time before stroke. The other limitation is the lack of individual air pollution measurements for each patient.

5. Conclusions

Exposure to air pollution with carbon monoxide and sulfur dioxide during the acute period of stroke has adverse effects on the acute phase of the disease and the post-stroke functional status of patients.
A combination of parameters, such as the neurological state of stroke patients, a hemorrhagic transformation of ischemic focus, and SO2 exposure, is unfavorable in terms of the risk of death during a hospital stay due to stroke.
Exposure to polluted air in the early days of stroke does not have a significant effect on the functional status of patients during the chronic period of disease.
The risk of a worsened functional status of patients in the first month of stroke rises, along with the increase in particulate matter concentrations within the first days of a stroke.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm13030746/s1, Figure S1. Receiver operating characteristic (ROC) curve of the regression model analysis of the impact phenodata on a worsened functional status of patients (>2 points on modified Rankin Scale) on the 10th day of stroke. Figure S2. Receiver operating characteristic (ROC) curve of the regression model analysis of the impact phenodata on a worsened functional status of patients (>2 points on modified Rankin Scale) on the 90th day of stroke. Table S1. The concentration of air pollutants (SO2, NO2, CO, O3) collected in the period during all study period. Table S2. The concentration of air pollutants (PM2.5, PM10) collected in the period during all study period. Table S3. The correlation between the concentration of air pollutions and the functional outcomes at discharge, the 30th and the 90th day after stroke onset.

Author Contributions

Conceptualization, A.L.-B.; Methodology, S.S.; Software, A.L.-B. and W.R.; Formal analysis, A.L.-B. and S.S.; Investigation, W.R., P.P., A.K. and A.D.; Resources, W.R. and A.K.; Data curation, W.R., P.P., A.K. and A.D.; Writing—original draft, A.L.-B. and S.S.; Writing—review & editing, A.L.-B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Bioethics Committee of the Medical University of Silesia in Katowice, PCN/CBM/0052/KB1/98/1/22 signed on 4 October 2022.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data is unavailable due to privacy or ethical restrictions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Chen, H.; Cheng, Z.; Li, M.; Luo, P.; Duan, Y.; Fan, J.; Xu, Y.; Pu, K.; Zhou, L. Ambient Air Pollution and Hospitalizations for Ischemic Stroke: A Time Series Analysis Using a Distributed Lag Nonlinear Model in Chongqing, China. Front. Public Health 2022, 9, 762597. [Google Scholar] [CrossRef]
  2. Liu, H.-X.; Li, D.; Li, B.; Xiong, J.; Chen, G. Devil or angel: Two roles of carbon monoxide in stroke. Med. Gas Res. 2022, 12, 125–130. [Google Scholar] [CrossRef] [PubMed]
  3. Feigin, V.L.; Stark, B.A.; Johnson, C.O.; Roth, G.A.; Bisignano, C.; Abady, G.G.; Abbasifard, M.; Abbasi-Kangevari, M.; Abd-Allah, F.; Abedi, V.; et al. Global, regional, and national burden of stroke and its risk factors, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol. 2021, 20, 795–820. [Google Scholar] [CrossRef] [PubMed]
  4. Niu, Z.; Liu, F.; Yu, H.; Wu, S.; Xiang, H. Association between exposure to ambient air pollution and hospital admission, incidence, and mortality of stroke: An updated systematic review and meta-analysis of more than 23 million participants. Environ. Health Prev. Med. 2021, 26, 15. [Google Scholar] [CrossRef]
  5. Yeager, R.; Riggs, D.W.; DeJarnett, N.; Tollerud, D.J.; Wilson, J.; Conklin, D.J.; O’Toole, T.E.; McCracken, J.; Lorkiewicz, P.; Xie, Z.; et al. Association between Residential Greenness and Cardiovascular Disease Risk. J. Am. Heart Assoc. 2018, 7, e009117. [Google Scholar] [CrossRef]
  6. Eskandari, Z.; Maleki, H.; Neisi, A.; Riahi, A.; Hamid, V.; Goudarzi, G. Temporal fluctuations of PM2.5 and PM10, population exposure, and their health impacts in Dezful city, Iran. J. Environ. Health Sci. Eng. 2020, 18, 723–731. [Google Scholar] [CrossRef]
  7. Zhang, Y.-H.; Shi, M.-C.; Wang, Z.-X.; Li, C.; Sun, M.-Y.; Zhou, J.; Zhang, W.-B.; Huo, L.-W.; Wang, S.-C. Factors Associated with Poor Outcomes in Patients Undergoing Endovascular Therapy for Acute Ischemic Stroke due to Large-Vessel Occlusion in Acute Anterior Circulation: A Retrospective Study. World Neurosurg. 2021, 149, e128–e134. [Google Scholar] [CrossRef] [PubMed]
  8. Kim, J.T.; Liebeskind, D.S.; Jahan, R.; Menon, B.K.; Goyal, M.; Nogueira, R.G.; Pereira, V.M.; Gralla, J.; Saver, J.L. Impact of Hyperglycemia According to the Collateral Status on Outcomes in Mechanical Thrombectomy. Stroke 2018, 49, 2706–2714. [Google Scholar] [CrossRef] [PubMed]
  9. Goyal, N.; Tsivgoulis, G.; Pandhi, A.; Dillard, K.; Katsanos, A.H.; Magoufis, G.; Chang, J.J.; Zand, R.; Hoit, D.; Safouris, A.; et al. Admission hyperglycemia and outcomes in large vessel occlusion strokes treated with mechanical thrombectomy. J. Neurointerv. Surg. 2018, 10, 112–117. [Google Scholar] [CrossRef]
  10. Broocks, G.; Kemmling, A.; Aberle, J.; Kniep, H.; Bechstein, M.; Flottmann, F.; Leischner, H.; Faizy, T.D.; Nawabi, J.; Schön, G.; et al. Elevated blood glucose is associated with aggravated brain edema in acute stroke. J. Neurol. 2020, 267, 440–448. [Google Scholar] [CrossRef]
  11. Lasek-Bal, A.; Żak, A.; Binek, Ł.; Student, S.; Tomalski, W.; Krzan, A.; Puz, P.; Uchwat, U. The effect of atrial fibrillation on the safety and efficacy of mechanical thrombectomy in patients with stroke. Pol. Arch. Intern. Med. 2022, 132, 16148. [Google Scholar] [CrossRef] [PubMed]
  12. Guo, Y.; Xie, X.; Lei, L.; Zhou, H.; Deng, S.; Xu, Y.; Liu, Z.; Bao, J.; Peng, J.; Huang, C. Short-term associations between ambient air pollution and stroke hospitalisations: Time-series study in Shenzhen, China. BMJ Open 2020, 10, e032974. [Google Scholar] [CrossRef]
  13. Chung, J.-W.; Bang, O.Y.; Ahn, K.; Park, S.-S.; Park, T.H.; Kim, J.G.; Ko, Y.; Lee, S.; Lee, K.B.; Lee, J.; et al. Air Pollution is associated with ischemic stroke via cardiogenic embolism. Stroke 2017, 48, 17–23. [Google Scholar] [CrossRef]
  14. Tian, Y.; Liu, H.; Zhao, Z.; Xiang, X.; Li, M.; Juan, J.; Song, J.; Cao, Y.; Wang, X.; Chen, L.; et al. Association between ambient air pollution and daily hospital admissions for ischemic stroke: A nationwide time-series analysis. PLoS Med. 2018, 15, e1002668. [Google Scholar] [CrossRef]
  15. Sarnat, J.A.; Schwartz, J.; Suh, H.H. Fine particulate air pollution and mortality in 20 U.S. cities, 1987–1994. N. Engl. J. Med. 2000, 343, 1742–1749. [Google Scholar] [CrossRef]
  16. Radmanesh, E.; Maleki, H.; Goudarzi, G.; Zahedi, A.; Kalkhajeh, S.G.; Hopke, P.K.; Mard, S.A.; Olad, S. Cerebral ischemic attack, epilepsy and hospital admitted patients with types of headaches attributed to PM10 mass concentration in Abadan, Iran. Aeolian Res. 2019, 41, 100541. [Google Scholar] [CrossRef]
  17. Briggs, D. Environmental pollution and the global burden of disease. Br. Med. Bull. 2003, 68, 1–24. [Google Scholar] [CrossRef] [PubMed]
  18. Brook, R.D.; Rajagopalan, S.; Pope, C.A., III; Brook, J.R.; Bhatnagar, A.; Diez-Roux, A.V.; Holguin, F.; Hong, Y.; Luepker, R.V.; Mittleman, M.A.; et al. Particulate matter air pollution and cardiovascular disease:an update to the scientific statement from the AmericanHeart Association. Circulation 2010, 121, 2331–2378. [Google Scholar] [CrossRef]
  19. Buteau, S.; Goldberg, M.S. A structured review of panel studies used to investigate associations between ambient air pollution and heart rate variability. Environ. Res. 2016, 148, 207–247. [Google Scholar] [CrossRef]
  20. Münzel, T.; Gori, T.; Al-Kindi, S.; Deanfield, J.; Lelieveld, J.; Daiber, A.; Rajagopalan, S. Effects of gaseous and solid constituents of air pollution on endothelial function. Eur. Heart J. 2018, 39, 3543–3550. [Google Scholar] [CrossRef]
  21. Hajipour, S.; Farbood, Y.; Gharib-Naseri, M.K.; Goudarzi, G.; Rashno, M.; Maleki, H.; Bakhtiari, N.; Nesari, A.; Khoshnam, S.E.; Dianat, M.; et al. Exposure to ambient dusty particulate matter impairs spatial memory and hippocampal LTP by increasing brain inflammation and oxidative stress in rats. Life Sci. 2020, 242, 117210. [Google Scholar] [CrossRef]
  22. Ferguson, G.G.; Eliasziw, M.; Barr, H.W.; Clagett, G.P.; Barnes, R.W.; Wallace, M.C.; Taylor, D.W.; Haynes, R.B.; Finan, J.W.; Hachinski, V.C.; et al. The North American Symptomatic Carotid Endarterectomy Trial Surgical Stroke. Stroke 1999, 30, 1751–1758. [Google Scholar] [CrossRef] [PubMed]
  23. Kozielska, B.; Mainka, A.; Żak, M.; Kaleta, D.; Mucha, W. Indoor air quality in residential buildings in Upper Silesia, Poland. Build. Environ. 2020, 177, 106914. [Google Scholar] [CrossRef]
  24. Rajagopalan, S.; Al-Kindi, S.G.; Brook, R.D. Air pollution and cardiovascular disease: JACC state-of-the-art review. J. Am. Coll. Cardiol. 2018, 72, 2054–2070. [Google Scholar] [CrossRef] [PubMed]
  25. Young, F.B.; Weir, C.J.; Lees, K.R. Comparison of the National Institutes of Health Stroke Scale with Disability Outcome Measures in Acute Stroke Trials. Stroke 2005, 36, 2187–2192. [Google Scholar] [CrossRef] [PubMed]
  26. Weisscher, N.; Vermeulen, M.; Roos, Y.B.; de Haan, R.J. What should be defined as good outcome in stroke trials; a modified Rankin score of 0–1 or 0–2? J. Neurol. 2008, 255, 867–874. [Google Scholar] [CrossRef] [PubMed]
  27. Available online: https://powietrze.gios.gov.pl/pjp/current (accessed on 15 October 2022).
  28. Larrue, V.; von Kummer, R.R.; Müller, A.; Bluhmki, E. Risk factors for severe hemorrhagic transformation in ischemic stroke patients treated with recombinant tissue plasminogen activator: A secondary analysis of the European-Australasian Acute Stroke Study (ECASS II). Stroke 2001, 32, 438–441. [Google Scholar] [CrossRef] [PubMed]
  29. Zhang, Z. Variable selection with stepwise and best subset approaches. Ann. Transl. Med. 2016, 4, 136. [Google Scholar] [CrossRef]
  30. Hastie, T.J.; Pregibon, D. Generalized linear models. In Statistical Models S; Chapter 6; Chambers, J.M., Hastie, T.J., Eds.; Wadsworth & Brooks/Cole: Pacific Grove, CA, USA, 1992. [Google Scholar]
  31. Konduracka, E. A link between environmental pollution and civilization disorders: A mini review. Rev. Environ. Health 2019, 34, 227–233. [Google Scholar] [CrossRef]
  32. Liu, L.; Yan, L.L.; Lv, Y.; Zhang, Y.; Li, T.; Huang, C.; Kan, H.; Zhang, J.; Zeng, Y.; Shi, X.; et al. Air pollution, residential greenness, and metabolic dysfunction biomarkers: Analyses in the Chinese Longitudinal Healthy Longevity Survey. BMC Public Health 2022, 22, 885. [Google Scholar] [CrossRef]
  33. Konduracka, E.; Rostoff, P. Links between chronic exposure to outdoor air pollution and cardiovascular diseases: A review. Environ. Chem. Lett. 2022, 20, 2971–2988. [Google Scholar] [CrossRef]
  34. Sangani, R.G.; Soukup, J.M.; Ghio, A.J. Metals in air pollution particles decrease whole-blood coagulation time. Inhal. Toxicol. 2010, 22, 621–626. [Google Scholar] [CrossRef] [PubMed]
  35. Pun, V.C.; Kabrhel, C.; Camargo CAJr Baccarelli, A.A.; Laden, F. Prospective study of ambient particulate matter exposure and risk of pulmonary embolism in the nurses’ health study cohort. Environ. Health Perspect. 2015, 123, 1265–1270. [Google Scholar] [CrossRef]
  36. Gray, D.L.; Wallace, L.A.; Brinkman, M.C.; Buehler, S.S.; La Londe, C. Respiratory and cardiovascular effects of metals in ambient particulate matter: A critical review. Rev. Environ. Contam. Toxicol. 2015, 234, 135–203. [Google Scholar] [CrossRef] [PubMed]
  37. Tinkov, A.A.; Filippini, T.; Ajsuvakova, O.P.; Skalnaya, M.G.; Aaseth, J.; Bjørklund, G.; Gatiatulina, E.R.; Popova, E.V.; Nemereshina, O.N.; Huang, P.-T.; et al. Cadmium and atherosclerosis: A review of toxicological mechanisms and a meta-analysis of epidemiologic studies. Environ. Res. 2018, 162, 240–260. [Google Scholar] [CrossRef] [PubMed]
  38. Signorelli, S.S.; Oliveri Conti, G.; Zanobetti, A.; Baccarelli, A.; Fiore, M.; Ferrante, M. Effect of particulate matter-bound metalsexposure on prothrombotic biomarkers: A systematic review. Environ. Res. 2019, 177, 108573. [Google Scholar] [CrossRef]
  39. Hamanaka, R.B.; Mutlu, G.M. Particulate matter air pollution: Effects on the cardiovascular system. Front. Endocrinol. 2018, 9, 680. [Google Scholar] [CrossRef]
  40. Newby, D.E.; Mannucci, P.M.; Tell, G.S.; Baccarelli, A.; Brook, R.D.; Donaldson, K.; Forastiere, F.; Franchini, M.; Franco, O.; Graham, I.; et al. Expert position paper on air pollution and cardiovascular disease. Eur. Heart J. 2015, 36, 83–93. [Google Scholar] [CrossRef]
  41. Rich, D.Q.; Kipen, H.M.; Huang, W.; Wang, G.; Wang, Y.; Zhu, P.; Ohman-Strickland, P.; Hu, M.; Philipp, C.; Diehl, S.R.; et al. Association between changes in air pollution levels during the Beijing Olympics and biomarkers of inflammation and thrombosis in healthy young adults. JAMA 2012, 307, 2068–2078. [Google Scholar] [CrossRef]
  42. Shah, A.S.V.; 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]
  43. Kettunen, J.; Lanki, T.; Tiittanen, P.; Aalto, P.P.; Koskentalo, T.; Kulmala, M.; Salomaa, V.; Pekkanen, J. Associations of fine and ultrafine particulate air pollution with stroke mortality in an area of low air pollution levels. Stroke 2007, 38, 918–922. [Google Scholar] [CrossRef] [PubMed]
  44. Hong, Y.C.; Lee, J.T.; Kim, H.; Kwon, H.J. Air pollution: A new risk factor in ischemic stroke mortality. Stroke 2002, 33, 2165–2169. [Google Scholar] [CrossRef]
  45. Lin, C.-W.; Chen, W.-K.; Hung, D.-Z.; Chen, Y.-W.; Lin, C.-L.; Sung, F.-C.; Kao, C.-H. Association between ischemic stroke and carbon monoxide poisoning: A population-based retrospective cohort analysis. Eur. J. Intern. Med. 2016, 29, 65–70. [Google Scholar] [CrossRef]
  46. Maleki, H.; Goudarzi, G.; Baboli, Z.; Khodadadi, R.; Yazdani, M.; Babaei, A.A.; Mohammadi, M.J. Temporal profiles of ambient air pollutants and associated health outcomes in two polluted cities of the Middle East. J. Environ. Health Sci. Eng. 2022, 20, 347–361. [Google Scholar] [CrossRef]
  47. Tian, L.; Qiu, H.; Pun, V.C.; Ho, K.-F.; Chan, C.S.; Yu, I.T. Carbon monoxide and stroke: A time series study of ambient air pollution and emergency hospitalizations. Int. J. Cardiol. 2015, 201, 4–9. [Google Scholar] [CrossRef]
  48. Paital, B.; Agrawal, P.K. Air pollution by NO2 and PM2.5 explains COVID-19 infection severity by overexpression of angiotensinconverting enzyme 2 in respiratory cells: A review. Environ. Chem. Lett. 2020, 2020, 25–42. [Google Scholar] [CrossRef]
  49. Coogan, P.F.; White, L.F.; Yu, J.; Brook, R.D.; Burnett, R.T.; Marshall, J.D.; Bethea, T.N.; Rosenberg, L.; Jerrett, M. Long-term exposure to NO2 and ozone and hypertension incidence in the black women’s health study. Am. J. Hypertens. 2017, 30, 367–372. [Google Scholar] [CrossRef]
  50. Cakmak, S.; Hebbern, C.; Pinault, L.; Lavigne, E.; Vanos, J.; Crouse, D.L.; Tjepkema, M. Associations between long-term PM2.5 and ozone exposure and mortality in the Canadian Census Health and Environment Cohort (CANCHEC), by spatial synoptic classification zone. Environ. Int. 2018, 111, 200–211. [Google Scholar] [CrossRef] [PubMed]
  51. Air Pollution. Available online: www.who.int/health-topics/air-pollution (accessed on 15 October 2022).
  52. Babatola, S.S. Global burden of diseases attributable to air pollution. J. Public Health Afr. 2018, 9, 813. [Google Scholar] [CrossRef]
  53. Avellaneda-Gómez, C.; Vivanco-Hidalgo, R.; Olmos, S.; Lazcano, U.; Valentin, A.; Milà, C.; Ambrós, A.; Roquer, J.; Tonne, C. Air pollution and surrounding greenness in relation to ischemic stroke: A population-based cohort study. Environ. Int. 2022, 161, 107147. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The flowchart of patient qualification.
Figure 1. The flowchart of patient qualification.
Jcm 13 00746 g001
Figure 2. The mean concentration of gaseous components and particulate matter one day and two days before stroke, upon admission (stroke onset day), and on the 5th and 8th day of stroke. CO—carbon monoxide, NO2—nitrogen dioxide, O3—ozone, PM—particulate matter (PM2.5—particles with aerodynamic diameter <2.5 μm; PM10—particles with aerodynamic diameter <10 μm), SO2—sulfur dioxide.
Figure 2. The mean concentration of gaseous components and particulate matter one day and two days before stroke, upon admission (stroke onset day), and on the 5th and 8th day of stroke. CO—carbon monoxide, NO2—nitrogen dioxide, O3—ozone, PM—particulate matter (PM2.5—particles with aerodynamic diameter <2.5 μm; PM10—particles with aerodynamic diameter <10 μm), SO2—sulfur dioxide.
Jcm 13 00746 g002
Table 1. Characteristics of patients.
Table 1. Characteristics of patients.
ParameterValue
Age, mean, med., QR67.53, 70, 16
Female, n (%)239 (47.19)
NIHSS_1, med., IQR13, 8
NIHSS_ 2, med., IQR12, 8
mRS 8d, med., IQR4, 2
mRS 90d, med., IQR5, 4
rtPA iv (actylise), n (%)309 (61.24)
MT time *, mean, SD108.4, 42.24
TICI 2B-3, n (%)339 (67.87)
ICB, n (%)115 (22.7)
sICB, n (%)25 (5)
Atrial fibrillation, n (%)259 (51.67)
Arterial hypertension, n (%)379 (76.12)
Diabetes mellitus, n (%)122 (24.34)
Peripheral artery disease, n (%)235 (47.14)
Nicotinism, n (%)182 (36.48)
Lipid disorders, n (%)209 (40.83)
Carotid artery stenosis, n (%)53 (10.72)
* in minutes. ICB—intracranial bleeding, MT—mechanical thrombectomy, NIHSS—National Institutes of Health Stroke Scale; mRS—modified Rankin Scale, mRS 8d- mRS on the 8th day, mRS 90d—mRS on the 90th day of stroke, NIHSS_1—NIHSS on the 1st day of stroke before MT, NIHSS_2—NIHSS on the 2nd day of stroke, rtPA iv—intravenous recombinant tissue plasminogen activator, sICB—symptomatic ICB, TICI—thrombolysis in cerebral infarction.
Table 2. Binary regression analysis of the influence of clinical phenodata on a worsened functional status of patients (>2 points on modified Rankin Scale) on the 10th day of stroke.
Table 2. Binary regression analysis of the influence of clinical phenodata on a worsened functional status of patients (>2 points on modified Rankin Scale) on the 10th day of stroke.
ParameterOR95% CIp
NIHSS_21.324(1.204–1.472)0.000
TICI0.890(0.811–0.967)0.009
MT time1.010(1.001–1.021)0.042
DM4.341(1.691–12.367)0.004
Smoking2.212(1.064–4.712)0.035
LD0.458(0.208–0.977)0.046
CO_0 day0.014(0–0.908)0.048
CO—carbon oxide, CO_0 day—carbon oxide on the day of stroke onset (before MT), DM—diabetes mellitus, LD—lipid disorders, MT—mechanical thrombectomy, NIHSS—National Institutes of Health Stroke Scale; NIHSS_2—NIHSS on the 2nd day of stroke, TICI—thrombolysis in cerebral infarction.
Table 3. Binary regression analysis of the influence of clinical phenodata on the worsened functional status of patients (>2 points on modified Rankin Scale) on the 90th day of stroke.
Table 3. Binary regression analysis of the influence of clinical phenodata on the worsened functional status of patients (>2 points on modified Rankin Scale) on the 90th day of stroke.
ParameterOR95% CIp
Age1.065(1.018–1.123)0.011
NIHSS_21.633(1.328–2.125)0.000
sICB0.232(0.047–0.992)0.056
sICB—symptomatic intracranial bleeding, NIHSS—National Institutes of Health Stroke Scale; NIHSS_2—NIHSS on the 2nd day of stroke.
Table 4. Binary regression analysis of the influence of clinical phenodata on the death on the 10th day of stroke.
Table 4. Binary regression analysis of the influence of clinical phenodata on the death on the 10th day of stroke.
ParameterOR95% CIp
NIHSS1.271(1.153–1.422)<0.001
sICB4.080(1.752–9.763)0.001
SO2_21.2121.022–1.4740.03
NIHSS—National Institutes of Health Stroke Scale on the 1st day of stroke, sICB—symptomatic intracranial bleeding, SO2_2—SO2 concentration on the 2nd day of stroke.
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Lasek-Bal, A.; Rybicki, W.; Student, S.; Puz, P.; Krzan, A.; Derra, A. Direct Exposure to Outdoor Air Pollution Worsens the Functional Status of Stroke Patients Treated with Mechanical Thrombectomy. J. Clin. Med. 2024, 13, 746. https://doi.org/10.3390/jcm13030746

AMA Style

Lasek-Bal A, Rybicki W, Student S, Puz P, Krzan A, Derra A. Direct Exposure to Outdoor Air Pollution Worsens the Functional Status of Stroke Patients Treated with Mechanical Thrombectomy. Journal of Clinical Medicine. 2024; 13(3):746. https://doi.org/10.3390/jcm13030746

Chicago/Turabian Style

Lasek-Bal, Anetta, Wiktor Rybicki, Sebastian Student, Przemysław Puz, Aleksandra Krzan, and Aleksandra Derra. 2024. "Direct Exposure to Outdoor Air Pollution Worsens the Functional Status of Stroke Patients Treated with Mechanical Thrombectomy" Journal of Clinical Medicine 13, no. 3: 746. https://doi.org/10.3390/jcm13030746

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