Big data from population surveys and environmental monitoring-based machine learning predictions of indoor PM in 22 cities in China.

Many studies have confirmed that PM exposure can cause a variety of diseases. Because people spend most of their time indoors, exposure to PM in indoor environments is critical to population health. Large-population, long-term, continuous, and accurate indoor PM data are important but scarce because of the difficulties in monitoring the indoor air quality on a large scale.

Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population.

Objectives: To evaluate the performance of an artificial intelligence (AI) and machine learning (ML) model for first-trimester screening for pre-eclampsia in a large Asian population.

Methods: This was a secondary analysis of a multicenter prospective cohort study in 10 935 participants with singleton pregnancies attending for routine pregnancy care at 11-13 weeks of gestation in seven regions in Asia between December 2016 and June 2018. We applied the AI+ML model for the first-trimester prediction of preterm pre-eclampsia (<37 weeks), term pre-eclampsia (≥37 weeks), and any pre-eclampsia, which was derived and tested in a cohort of pregnant participants in the UK (Model 1).

Dust particulate matter increases pulmonary embolism onset: A nationwide time-stratified case-crossover study in China.

Background: Particulate matter (PM) has been found to elevate the risk of pulmonary embolism (PE) onset. Among the contributors to PM, dust PM stands as the second natural source, and its emissions are escalating due to climate change. Despite this, information on the effect of dust PM on PE onset is scarce.

Association between Ambient Volatile Organic Compounds Exposome and Emergency Hospital Admissions for Cardiovascular Disease.

The limited research on volatile organic compounds (VOCs) has not taken into account the interactions between constituents. We used the weighted quantile sum (WQS) model and generalized linear model (GLM) to quantify the joint effects of ambient VOCs exposome and identify the substances that play key roles. For a 0 day lag, a quartile increase of WQS index for -alkanes, iso/anti-alkanes, aromatic, halogenated aromatic hydrocarbons, halogenated saturated chain hydrocarbons, and halogenated unsaturated chain hydrocarbons were associated with 1.

Related health burden with the improvement of air quality across China.

Background: Substantial progress in air pollution control has brought considerable health benefits in China, but little is known about the spatio-temporal trends of economic burden from air pollution. This study aimed to explore their spatio-temporal features of disease burden from air pollution in China to provide policy recommendations for efficiently reducing the air pollution and related disease burden in an era of a growing economy.

Methods: Using the Global Burden of Disease method and willingness to pay method, we estimated fine particulate matter (PM 2.

Associations of long-term fine particulate matter exposure with all-cause and cause-specific mortality: results from the ChinaHEART project.

Background: The chronic effects of fine particulate matter (PM) at high concentrations remains uncertain. We aimed to examine the relationship of long-term PM exposure with all-cause and the top three causes of death (cardiovascular disease [CVD], cancer, and respiratory disease), and to analyze their concentration-response functions over a wide range of concentrations.

Methods: We enrolled community residents aged 35-75 years from 2014 to 2017 from all 31 provinces of the Chinese Mainland, and followed them up until 2021.

The relationship between particulate matter and lung function of children: A systematic review and meta-analysis.

There have been many studies on the relationship between fine particulate matter (PM) and lung function. However, the impact of short-term or long-term PM exposures on lung function in children is still inconsistent globally, and the reasons for the inconsistency of the research results are not clear. Therefore, we searched the PubMed, Embase and Web of Science databases up to May 2022, and a total of 653 studies about PM exposures on children's lung function were identified.

Long-term exposure to ozone and cardiovascular mortality in a large Chinese cohort.

Background: Evidence for the association between long-term exposure to ozone (O) and cause-specific cardiovascular disease (CVD) mortality is inconclusive, and this association has rarely been evaluated at high O concentrations.

Objectives: We aim to evaluate the associations between long-term O exposure and cause-specific CVD mortality in a Chinese population.

Methods: From 2009 to 2018, 744,882 subjects (median follow-up of 7.

Prospective Evaluation of International Prediction of Pregnancy Complications Collaborative Network Models for Prediction of Preeclampsia: Role of Serum sFlt-1 at 11-13 Weeks' Gestation.

The study aimed to investigate whether serum sFlt-1 (soluble fms-like tyrosine kinase-1) at 11-13 weeks' gestation in pregnancies that subsequently developed preeclampsia was different from those without preeclampsia and compare screening performance of the International Prediction of Pregnancy Complications (IPPIC) reported models, which include various combinations of maternal factors, systolic blood pressure, diastolic blood pressure, PlGF (placental growth factor) and sFlt-1 and the competing risk (CR) models, which include various combinations of maternal factors, mean arterial pressure (MAP) and PlGF for predicting any-onset, early-onset, and late-onset preeclampsia. This was a prospective multicenter study in 7877 singleton pregnancies. The differences of the predictive performance between the IPPIC and CR models were compared.

Impact of childbirth policy changes on obstetric workload over a 13-year period in a regional referral center in China - implications on service provision planning.

Background: We aimed to appraise the impact of the changing national childbirth policy since 2002, currently allowing two children per family, on obstetric workload in a regional referral center in China.

Methods: In a retrospective cohort study, temporal changes were examined in relation with maternal demographics, incidence of women with high risk pregnancies and resource statistics in our hospital in managing singleton viable pregnancies (birth from 28 weeks gestational age onwards) for the period 2005-2017.

Results: During this 13-year period, the number of singleton livebirths from 28 weeks gestational age onwards was 49,479.

Risk of Cardiovascular Hospital Admission After Exposure to Fine Particulate Pollution.

Background: Heavy fine particulate matter with an aerodynamic diameter ≤2.5 μm (PM) pollution events continue to occur frequently in developing countries.

Objectives: The authors conducted a case-crossover study aimed at exploring the association between heavy PM pollution events and hospital admission for cardiovascular diseases.

PM-associated risk for cardiovascular hospital admission and related economic burdens in Beijing, China.

Background: The study of ambient air particulate matter (PM)-associated health and economic burdens of cardiovascular disease are crucial for air pollution control and disease prevention strategies. Quantified evidence remains inadequate.

Objectives: This study aimed to estimate the PM associated risk in cardiovascular hospital admission as well as attributable health burdens and economic costs.

Random forest model based fine scale spatiotemporal O trends in the Beijing-Tianjin-Hebei region in China, 2010 to 2017.

Ambient ozone (O) concentrations have shown an upward trend in China and its health hazards have also been recognized in recent years. High-resolution exposure data based on statistical models are needed. Our study aimed to build high-performance random forest (RF) models based on training data from 2013 to 2017 in the Beijing-Tianjin-Hebei (BTH) region in China at a 0.

Associations between short-term exposure to PM and stroke incidence and mortality in China: A case-crossover study and estimation of the burden.

Stroke and fine particulate matter (PM) are two important public health concerns worldwide. Although numerous studies have reported the associations between PM and stroke, scientific evidence in China is incomplete, particularly the effect of PM on the acute incidence and national acute health burdens of stroke attributed to PM pollution. This study identified about 131,947 registered patients and 23,018 deaths due to stroke in 10 counties located in various regions from 2013 to 2017.

Long-term exposure to ambient fine particulate matter and fasting blood glucose level in a Chinese elderly cohort.

Fasting blood glucose level is the primary indicator for the diagnosis of diabetes. We aim to conduct a longitudinal study on the association between long-term fine particulate matter (PM) exposure and fasting blood glucose concentrations. We recruited and followed up 1449 participants older than 65 years of age in 2009, 2012, 2014, and 2017 in eight counties in China.

[Severe influenza A (H1N1) in late pregnancy: a case report].

Pregnancy has increased susceptibility to H1N1 influenza virus infection. Maternal influenza infection is associated with increased risk of morbidity and mortality. A case of influenza A (H1N1) during late pregnancy (pregnancy 1, birth 0, pregnancy 30 weeks) was admitted to the Second Affiliated Hospital of Kunming Medical University on December 16th, 2018.

Effects of ambient particulate matter on fasting blood glucose: A systematic review and meta-analysis.

Studies have found that ambient particulate matter (PM) affects fasting blood glucose. However, the results are not consistent. We conducted a systematic review and meta-analysis to determine the relationship between PM with an aerodynamic diameter of 10 μm or less (PM) and PM with an aerodynamic diameter of 2.

Estimating the daily PM concentration in the Beijing-Tianjin-Hebei region using a random forest model with a 0.01° × 0.01° spatial resolution.

High spatiotemporal resolution fine particulate matter (PM) simulations can provide important exposure data for the assessment of long-term and short-term health effects. Satellite-based aerosol optical depth (AOD) data, meteorological data, and topographic data have become key variables for PM estimation. In this study, a random forest model was developed and used to estimate the highest resolution (0.

Statistical spatial-temporal modeling of ambient ozone exposure for environmental epidemiology studies: A review.

Background: Studies have discovered the adverse health impacts of ambient ozone. Most epidemiological studies explore the relationship between ambient ozone and health effects based on fixed site monitoring data. Fine modeling of ground-level ozone exposure conducted by statistical models has great advantages for improving exposure accuracy and reducing exposure bias.