Artificial intelligence-assisted analysis on the association between exposure to ambient fine particulate matter and incidence of arrhythmias in outpatients of Shanghai community hospitals

Impact of particulate matter on the incidence of atrial fibrillation and the risk of adverse clinical outcomes: A review

BACKGROUND

Atrial fibrillation (AF) is common and increases the risk of stroke and mortality. Previous studies have suggested that air pollution is an important risk factor for new-onset AF. Herein, we review the evidence regarding: 1) the association between exposure to particulate matter (PM) and new-onset AF, and 2) the risk of worse clinical outcomes in patients with pre-existent AF and their relation to PM exposure.

METHODS

A selection of studies between 2000 and 2023 linking PM exposure and AF was performed through searches in PubMed, Scopus, Web of Science, and Google Scholar.

RESULTS

17 studies from different geographical areas demonstrated that exposure to PM was associated with an increased risk of new-onset AF, although the results were heterogeneous regarding the temporal pattern (short- or long-term) ultimately related to AF. Most of the studies concluded that the risk of new-onset AF increased between 2 %-18 % per 10 μg/m³ increment in PM_2.5 or PM₁₀ concentrations, whereas the incidence (percentage of change of incidence) increased between 0.29 %-2.95 % per 10 μg/m³ increment in PM_2.5 or PM₁₀. Evidence about the association between PM and adverse events in patients with pre-existent AF was scarce but 4 studies showed a higher risk of mortality and stroke (between 8 %-64 % in terms of hazard ratio) in patients with pre-existent AF when PM exposure was higher.

CONCLUSIONS

Exposure to PM (both PM_2.5 and PM₁₀) is a risk factor for AF, and a risk factor for mortality and stroke in patients who already suffer from AF. Since the relationship between PM and AF is independent of the region of the world, PM should be considered as a global risk factor for both AF and worse clinical outcomes in AF patients. Specific measures to prevent air pollution exposure need to be adopted.

Toxicological Effects of Fine Particulate Matter (PM2.5): Health Risks and Associated Systemic Injuries-Systematic Review

Previous studies focused on investigating particulate matter with aerodynamic diameter ≤ 2.5 µm (PM2.5) have shown the risk of disease development, and association with increased morbidity and mortality rates. The current review investigate epidemiological and experimental findings from 2016 to 2021, which enabled the systemic overview of PM2.5's toxic impacts on human health. The Web of Science database search used descriptive terms to investigate the interaction among PM2.5 exposure, systemic effects, and COVID-19 disease. Analyzed studies have indicated that cardiovascular and respiratory systems have been extensively investigated and indicated as the main air pollution targets. Nevertheless, PM2.5 reaches other organic systems and harms the renal, neurological, gastrointestinal, and reproductive systems. Pathologies onset and/or get worse due to toxicological effects associated with the exposure to this particle type, since it can trigger several reactions, such as inflammatory responses, oxidative stress generation and genotoxicity. These cellular dysfunctions lead to organ malfunctions, as shown in the current review. In addition, the correlation between COVID-19/Sars-CoV-2 and PM2.5 exposure was also assessed to help better understand the role of atmospheric pollution in the pathophysiology of this disease. Despite the significant number of studies about PM2.5's effects on organic functions, available in the literature, there are still gaps in knowledge about how this particulate matter can hinder human health. The current review aimed to approach the main findings about the effect of PM2.5 exposure on different systems, and demonstrate the likely interaction of COVID-19/Sars-CoV-2 and PM2.5.

Long-term exposure to air pollution and increased risk of atrial fibrillation prevalence in China

BACKGROUND

Atrial fibrillation (AF) is the most common type of treated heart arrhythmia contributing to adverse cardiovascular events. The association between short-term air pollution exposure and AF episodes has been recognized. But the evidence of the association between long-term air pollution exposure and AF was limited, especially in developing countries.

METHODS

We performed a nationwide cross-sectional study among 1,374,423 individuals aged ≥35 years from 13 health check-up centers. Using logistic regression models, we assessed the association between long-term exposure to single air pollution and AF prevalence, including particulate matter (PM_2.5 and PM₁₀), ozone (O₃) and PM_2.5 compositions, which were estimated by high-resolution and high-quality spatiotemporal datasets of ground-level air pollutants for China. The quantile g-computation model was used to explore the joint effect of all exposures to air pollution and the contribution of an individual component to the mixture.

RESULTS

In single-pollutant models, an increase of 10 μg/m³ in PM_2.5 (OR 1.031[95%CI 1.010,1.053]) and PM₁₀ (OR = 1.021 [95%CI 1.009,1.033]) was positively associated with AF prevalence. The stratified analyses revealed that these associations were significantly stronger in females, people <65 years old, and those with hypertension and diabetes. In the further exploration of the joint effect of PM_2.5 compositions (OR 1.060 [95%CI 1.022,1.101]) per quintile increase in all five PM_2.5 components), we found that PM_2.5 sulfate contributed the most.

CONCLUSIONS

These findings provide important evidence for the positive relationship between long-term exposure to air pollution and AF prevalence in China and identify sulfate particles of PM_2.5 as having the highest contribution to the overall mixture effects among all PM2.5 chemical constituents.

Interventions of Unani medicine for maintenance of health with special reference to air quality: an evidence-based review

OBJECTIVES

This article aims to discuss the impact of air quality on human health, measures to achieve the goal of good indoor air quality and proposed benefits of interventions of Unani Medicine with an evidence-based approach.

CONTENT

The significance of air quality on the health of the community cannot be denied. Recent evidences from WHO illustrated data on severe air pollutants and their impacts on human health ranges from minor upper respiratory irritation to chronic respiratory ailments including lung carcinoma and heart disease associated with premature mortality and reduced life expectancy. In Unani Medicine, air has been included in the list of factors, which are six in number and play the central role in prevention of diseases and maintenance of health. Air is considered as the medium of most of the extrinsic factors such as chemical and biological pollutants affecting health and their exposure results in short and long-term health issues. The literature of Unani Medicine proposes many simple and effective measures, which help to improve indoor and outdoor air quality. The goal of outdoor clean air is achieved through implementation of measures to tackle the source of pollution, while indoor clean air is attained through various means e.g., fumigation with herbal drugs. Hence, an extensive literature survey on Unani reserve was conducted to collect information about the concept of air discussed under the heading of six essential factors and its implication in prevention of diseases and maintenance of health. Further, research databases such as Pub Med, Google Scholar, and Science-Direct were broadly searched for evidence on the efficacy of herbals mentioned in Unani literature for the indoor air purification and subsequent air quality improvement.

SUMMARY AND OUTLOOK

Recent studies showed good air quality leads to decrease in mortality, particularly of respiratory and cardiovascular deaths whereas poor air quality results in a variety of diseases. Unani scholars prescribed several regimens such as Bukhoor (Fumigation), Sa'oot (Nasal instillation) and use of Abeer (Perfumes) and Nadd (Incense) for the improvement of air quality. Likewise various herbal fumigants and sprays containing drugs like mī'a sā'ila (Liquidambar orientalis Mill.), mastagi (Pistacia lentiscus L.), mushk (Moschus moschiferus L.), loban (Styrax benzoides W. G. Craib), ābnoos (Diospyros ebenum J. Koenig ex Retz), zā'fran (Crocus sativus L.) and sirka (vinegar) etc. has been well explained and used exclusively for air purification and improvement of AQI. Therefore, in the present scenario of altered air quality, we forward certain measures described in Unani system of medicine for health promotion and protection. Scientific evidence on several drugs reveal the presence of a number of pharmacologically active substances, which may provide a new approach into the purification of air.

Application of smart devices in investigating the effects of air pollution on atrial fibrillation onset

Few studies have examined the link between short-term exposure to air pollutants and atrial fibrillation (AF) episodes. This study aims to examine the association of hourly criteria air pollutants with AF episodes. We employ a smart device-based photoplethysmography technology to screen AF from 2018 to 2021. Hourly concentrations of six criteria air pollutants are matched to the onset hour of AF for each participant. We adopt a time-stratified case-crossover design to capture the acute effects of air pollutants on AF episodes, using conditional logistic regression models. Subgroup analyses are conducted by age, gender, and season. A total of 11,906 episodes of AF are identified in 2976 participants from 288 Chinese cities. Generally, the strongest associations of air pollutants are present at lag 18-24 h, with positive and linear exposure-response relationships. For an interquartile range increase in inhalable particles, fine particles, nitrogen dioxide, and carbon monoxide, the odds ratio (OR) of AF is 1.19 [95% confidential interval (CI): 1.03, 1.37], 1.38 (95%CI: 1.14, 1.67), 1.60 (95%CI: 1.16, 2.20) and 1.48 (95%CI: 1.19, 1.84), respectively. The estimates are robust to the adjustment of co-pollutants, and they are larger in females, older people, and in cold seasons. There are insignificant associations for sulfur dioxide and ozone. This nationwide case-crossover study demonstrates robust evidence of significant associations between hourly exposure to air pollutants and the onset of AF episodes, which underscores the importance of ongoing efforts to further improve air quality as an effective target for AF prevention.

ECG Utilization Patterns of Patients With Arrhythmias During COVID-19 Epidemic and Post-SARS-CoV-2 Eras in Shanghai, China

Background

The COVID-19 pandemic has led to concerns around its subsequent impact on global health.

Objective

To investigate the health-seeking behavior, reflected by ECG utilization patterns, of patients with non-COVID-19 diseases during and after COVID-19 epidemic.

Methods

Taking advantage of the remote ECG system covering 278 medical institutions throughout Shanghai, the numbers of medical visits with ECG examinations during the lockdown (between January 23 and April 7, 2020), post-lockdown (between April 8 and December 31, 2020) and post-SARS-CoV-2 (between January 23 and April 7, 2021) periods were analyzed and compared against those during the same periods of the preceding years (2018 and 2019).

Results

Compared with the same period during pre-COVID years, the number of medical visits decreased during the lockdown (a 38% reduction), followed by a rebound post-lockdown (a 17% increase) and a fall to the baseline level in post-SARS-CoV-2 period. The number of new COVID-19 cases announced on a given day significantly correlated negatively with the numbers of medical visits during the following 7 days. Medical visit dynamics differed for various arrhythmias. Whereas medical visits for sinus bradycardia exhibited a typical decrease-rebound-fallback pattern, medical visits for atrial fibrillation did not fall during the lockdown but did exhibit a subsequent increase during the post-lockdown period. By comparison, the volume for ventricular tachycardia remained constant throughout this entire period.

Conclusion

The ECG utilization patterns of patients with arrhythmias exhibited a decrease-rebound-fallback pattern following the COVID-19 lockdowns. Medical visits for diseases with more severe symptoms were less influenced by the lockdowns, showing a resilient demand for healthcare.

Adverse effects of PM2.5 on cardiovascular diseases

As an air pollutant, fine particulate matter with a diameter  ≤ 2.5 μm (PM_2.5) can enter the body through the respiratory tract and cause adverse cardiovascular effects. Here, the effects of PM_2.5 on atherosclerosis, hypertension, arrhythmia, myocardial infarction are summarized from the perspective researches of human epidemiology, animal, cell and molecule. The results of this review should be proved useful as a scientific basis for the prevention and treatment of cardiovascular disease caused by PM_2.5.

The Influence of Environmental Air Pollution on Ventricular Arrhythmias: A Scoping Review

INTRODUCTION

Exposure to air pollution is a recognised risk factor for cardiovascular disease and has been associated with supraventricular arrhythmias. The effect of air pollution on ventricular arrhythmias is less clear. This scoping review assessed the effects of particulate and gaseous air pollutants on the incidence of ventricular arrhythmias.

METHODS

MEDLINE and EMBASE databases were searched for studies assessing the effects of air pollutants on ventricular tachycardia and ventricular fibrillation. These pollutants were particulate matter (PM) 2.5, PM10, Nitrogen Dioxide (NO2), Carbon Monoxide (CO), Sulphur Dioxide (SO2), and Ozone (O3).

RESULTS

This review identified 27 studies: nine in individuals with implantable cardioverter defibrillators, five in those with ischaemic heart disease, and 13 in the general population. Those with ischaemic heart disease appear to have the strongest association with ventricular arrhythmias in both gaseous and particulate pollution, with all three studies assessing the effects of PM2.5 demonstrating some association with ventricular arrythmia. Results in the general and ICD population were less consistent.

CONCLUSION

Individuals with ischaemic heart disease may be at an increased risk of ventricular arrhythmias following exposure to air pollution.

Cardiac monitoring for patients with palpitations

Palpitations are one of the most common reasons for medical consultation. They tend to worry patients and can affect their quality of life. They are often a symptom associated with cardiac rhythm disorders, although there are other etiologies. For diagnosis, it is essential to be able to reliably correlate the symptoms with an electrocardiographic record allowing the identification or ruling out of a possible rhythm disorder. However, reaching a diagnosis is not always simple, given that they tend to be transitory symptoms and the patient is frequently asymptomatic at the time of assessment. In recent years, electrocardiographic monitoring systems have incorporated many technical improvements that solve several of the 24-h Holter monitor limitations. The objective of this review is to provide an update on the different monitoring methods currently available, remarking their indications and limitations, to help healthcare professionals to appropriately select and use them in the work-up of patients with palpitations.

Short-term exposure to ambient air pollution and atrial fibrillation hospitalization: A time-series study in Yancheng, China

Atrial fibrillation (AF) is an important cardiovascular disease that causes a great burden of disease. However, there is limited evidence of a link between air pollution exposure and AF. This study aimed to explore the short-term association between air pollution and AF. We obtained daily hospitalization of AF in two major hospitals of Yancheng, China from May, 2015 to May, 2020. Generalized additive models with quasi-Poisson regression were used to assess the associations between six criteria air pollutants and AF hospitalization. We explored the lag patterns, and visualized the concentration-response relationships. The robustness of the association was tested by two-pollutant model, and we explored potential effect modification by age, sex and season. A total of 15,171 inpatients from two hospitals were collected in this study with an average daily count of eight patients. We observed consistent and significant associations between six air pollutants and AF on lag 0-4 days. A 10 ug/m3 increase in PM2.5 was associated with 2.81% (95%CI: 1.44%, 4.20%) changes in AF, and the effect estimate was 1.67% (95%CI: 0.77%, 2.59%) for PM10, 4.90% (95%CI: 1.69%, 8.22%) for NO2, 6.81% (95%CI: 0.46%, 13.57%) for SO2, 1.82% (95%CI: 0.60%, 3.06%) for O3; a 0.1 mg/m3 increase in CO was associated with 2.55% (95%CI: 0.91%, 4.21%) increments in AF. Associations of PM2.5 and PM10 were robust after adjusting for SO2, NO2, CO, and O3, but not vice versa. Female patients and those aged less 70 years had larger risk of AF associated with air pollution exposure. The concentration-response curves of the six pollutants were almost linear and increasing with no obvious thresholds. This time-series study in Yancheng demonstrated increased risk of AF and a delayed effect over lag 0-4 days. Our findings suggested need of prevention and protection against these environmental risk factors for AF in health departments.

Impact of ambient fine particulate matter on emergency department admissions for circulatory system disease in a city in Northeast China

The cardiovascular impact of fine particles has caused great concern worldwide. However, evidences on the impact of fine particulate matter (PM_2.5) on emergency department (ED) admissions for circulatory system disease in Northeast China is limited. We assessed the acute, lag, cumulative, and harvesting effects of PM_2.5 on ED admissions for circulatory system diseases and their exposure-response relationship. A total of 26,168 ED admissions, including those for hypertension, ischemic heart disease (IHD), arrhythmia, heart failure (HF), and cerebrovascular events (CVE), were collected from the Shenyang Emergency Center from 1 January 2017 to 31 December 2018. The relationship between PM_2.5 and ED admissions for circulatory system disease was estimated using a distributed lag non-linear model and a generalized additive quasi-Poisson model. We stratified the analyses by temperature. Air pollution was positively correlated with daily ED admissions for circulatory system disease or other cause-specific diseases under different lag structures. For every 10-μg/m³ increase in the PM_2.5 concentration, the relative risk of daily ED admissions for circulatory system disease was 1.007 [95% confidence interval (CI), 1.001-1.013] in lag0, 1.007 (95%CI, 1.000-1.013) in lag1, and 1.011 (95%CI, 1.002-1.021) in lag03. A lag effect was found in IHD, a cumulative effect was found in CVE, and both lag and cumulative effects were found in hypertension and arrhythmia. A harvesting effect was observed in daily ED admissions for circulatory system disease and HF. We found no interaction between pollutants and temperature. We observed a monotonic and almost linear exposure-response relationship between PM_2.5 and circulatory system disease with no threshold effect.PM_2.5 contributes to obvious acute, lag, cumulative, and harvesting effects on circulatory system disease. PM_2.5 was associated with the risk of daily ED admissions for circulatory system disease, hypertension, IHD, arrhythmia, HF, and CVE. Therefore, air quality management must be strengthened.

The relationship between exposure to PM2.5 and atrial fibrillation in older adults: A systematic review and meta-analysis

Fine particle matter (PM_2.5) is recognized as atrial fibrillation (AF) risk factor, especially for older adults. However, studies on the relationship between PM_2.5 and AF were inconsistent. Herein, we present a systematic review to further assess the correlation between PM_2.5 and AF in older adults (average age > 50 years old). A comprehensive search was conducted with the keywords in PubMed (675 records), Web of Science (1130 records), Embase (82 records), and the Cochrane Library (42 records). Using Stata12.0 software to test the heterogeneity between studies, and select the corresponding model to calculate the comprehensive effect value, odds ratio (OR, odds ratio), the pooled %-change (percentage change) and its 95% confidence interval (CL, confidence interval). A total of 16 observational studies were included, involving 10,580,394 participants, the results showed that PM_2.5 had an adverse effects on AF in older adults. An association was found between exposure to PM_2.5 (per 10 μg/m³ increase) and AF in older adults, with the corresponding pooled OR (1.11, 95% CI: 1.03-1.19) and pooled %-change (1.01%, 95% CI: 0.14%-1.88%). Our study indicated that PM_2.5 exposure was significantly related to increased incidence of AF in older adults. Both the pooled OR and %-change value were higher in areas with higher levels of PM_2.5(≥25 μg/m³).

Role of atmospheric particulate matter exposure in COVID-19 and other health risks in human: A review

Due to intense industrialization and urbanization, air pollution has become a serious global concern as a hazard to human health. Epidemiological studies found that exposure to atmospheric particulate matter (PM) causes severe health problems in human and significant damage to the physiological systems. In recent days, PM exposure could be related as a carrier for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus transmission and Coronavirus disease 2019 (COVID-19) infection. Hence, it is important to understand the adverse effects of PM in human health. This review aims to provide insights on the detrimental effects of PM in various human health problems including respiratory, circulatory, nervous, and immune system along with their possible toxicity mechanisms. Overall, this review highlights the potential relationship of PM with several life-limiting human diseases and their significance for better management strategies.

How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management

There has been an exponential growth of artificial intelligence (AI) and machine learning (ML) publications aimed at advancing our understanding of atrial fibrillation (AF), which has been mainly driven by the confluence of two factors: the advances in deep neural networks (DeepNNs) and the availability of large, open access databases. It is observed that most of the attention has centred on applying ML for dvsetecting AF, particularly using electrocardiograms (ECGs) as the main data modality. Nearly a third of them used DeepNNs to minimize or eliminate the need for transforming the ECGs to extract features prior to ML modelling; however, we did not observe a significant advantage in following this approach. We also found a fraction of studies using other data modalities, and others centred in aims, such as risk prediction, AF management, and others. From the clinical perspective, AI/ML can help expand the utility of AF detection and risk prediction, especially for patients with additional comorbidities. The use of AI/ML for detection and risk prediction into applications and smart mobile health (mHealth) technology would enable ‘real time’ dynamic assessments. AI/ML could also adapt to treatment changes over time, as well as incident risk factors. Incorporation of a dynamic AI/ML model into mHealth technology would facilitate ‘real time’ assessment of stroke risk, facilitating mitigation of modifiable risk factors (e.g. blood pressure control). Overall, this would lead to an improvement in clinical care for patients with AF.

Association between air pollutants and atrial fibrillation in general population: A systematic review and meta-analysis

BACKGROUND

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia with several risk factors. Recent studies have suggested that the exposure to air pollutants may increase the prevalence of AF, we evaluated those studies systematically to better elucidate the correlation between exposure to air pollution and AF.

METHOD

We conducted a systematic review of publications using PubMed, Embase, the Cochrane library and Web of Science to explore the association between air pollutants and AF within the general population. The chosen studies were published until 7 July 2020. According to different study designs, we divided the outcomes into "short-term-exposure group" and "long-term-exposure group" for each pollutant. We used I² statistics and Q-test to examine statistical heterogeneity, and sensitivity analysis to exclude the heterogeneous study. Fixed or random-effect model was used to combine the effects. Final result was presented as the OR and 95% CI of AF prevalence for every 10 μg/m³ increase in the concentration of PM_2.5 and PM₁₀;10 ppb increase in the concentration of SO₂ ,NO₂ ,O₃; and 1 ppm increase in the CO concentration.

RESULTS

Our analysis contain 18 studies. Underlying short-term exposure effect, for each increment of 10 μg/m³ in the PM_2.5 concentration, the combined OR of AF prevalence was 1.01(1.00-1.02), for PM₁₀ was 1.03(1.01-1.05). For a 10 ppb increment in the concentration of SO₂, NO₂, and O₃ was 1.05(1.01-1.09), 1.03(1.01-1.04), and 1.01(0.97-1.06), respectively, for a 1 ppm increase of CO concentration was 1.02(0.99-1.06). Underlying long-term-exposure effect for each increment of 10 μg/m³ in the PM_2.5 concentration; the combined OR of AF prevalence was 1.07(1.04-1.10) and that for PM₁₀ was 1.03(1.03-1.04) For a 10 ppb increment in the NO₂ concentration was 1.02(1.00-1.04).

CONCLUSION

Our meta-analysis indicated that all air pollutants exposure had an adverse effect on AF prevalence in general population.

Numerical calculation and analysis of filtration performance of an effective novel structural fiber for PM2.5

In this study, a novel fiber with slit-crescent-shaped cross-section is proposed to enhance the filtration performance of PM_2.5 in fibrous filtration. The collection efficiency of this fiber is simulated by using a Brownian dynamics simulation technique, and its filtration pressure drop is obtained by numerically solving Navier-Stokes equation with Fluent software. A parametric study is performed to improve the optimum filtration performance of the slit-crescent-shaped fiber via adjusting its structural parameters (dimensionless center-to-center spacing and slit width). Results indicate that at the optimal condition, i.e., when dimensionless slit width ranges from 0.2 to 0.4, collection efficiency is enhanced by 13.1%–101.1% relative to the circular fiber for particles ranging from 0.1μm to 2.5μm for the slit-crescent-shaped fiber under various dimensionless center-to-center spacing, and filtration pressure drop is reduced by up to 14.4%. In addition, quality factor is introduced to evaluate the comprehensive filtration performance of the slit-crescent-shaped fiber with different structural parameters, and results show that large dimensionless slit width and small dimensionless center-to-center spacing lead to a much higher quality factor than the circular fiber, especially for particles lager than 0.5μm. The numerical results obtained in this work are conducive to designing high efficiency fibrous filters.