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The impact of particulate matter 2.5 on the risk of preeclampsia: an updated systematic review and meta-analysis.

ABSTRACT: There is increasing and inconsistent evidence of a linkage between maternal exposure to particulate matter 2.5 (PM2.5) and preeclampsia. Therefore, this study was conducted to investigate this relationship. Electronic databases including PubMed, Embase, Web of Science, and Cochrane Library were searched to identify articles published from inception to March 23, 2020, which showed a correlation between PM2.5 and preeclampsia. Finally, 9 of 523 initial studies were deemed eligible for inclusion. A random effect model was adopted to calculate the standardized odds ratio (OR) and 95% confidence interval (CI). Based on potential effect modification, subgroup analyses were further performed. Meta-analysis showed that maternal exposure to PM2.5 (per 10 ?g/m³ increment) elevated the risk of preeclampsia (OR?=?1.32, 95% CI 1.10 to 1.58%). Compared with other pregnancy trimesters, the third trimester of pregnancy seems to be the period in which women are more susceptible to PM2.5. Significant effect modification of the correlation between PM2.5 exposure and preeclampsia according to multiple pregnancies, pregnancy stage, maternal-related disease history, and sample size was not observed. The results demonstrated that maternal exposure to PM2.5 may predispose pregnant women to develop preeclampsia, especially in the third trimester of pregnancy. Therefore, more efforts should be made to improve air quality to maintain the health of pregnant women.

SUBMITTER: Yu H

PROVIDER: S-EPMC7496023 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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The impact of particulate matter 2.5 on the risk of preeclampsia: an updated systematic review and meta-analysis.

Yu Hongbiao H Yin Yangxue Y Zhang Jiashuo J Zhou Rong R

Environmental science and pollution research international 20200801 30

There is increasing and inconsistent evidence of a linkage between maternal exposure to particulate matter 2.5 (PM2.5) and preeclampsia. Therefore, this study was conducted to investigate this relationship. Electronic databases including PubMed, Embase, Web of Science, and Cochrane Library were searched to identify articles published from inception to March 23, 2020, which showed a correlation between PM2.5 and preeclampsia. Finally, 9 of 523 initial studies were deemed eligible for inclusion. A ...[more]

PMID: 32740838

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Project description:BackgroundParticulate air pollution's physical health effects are well known, but associations between particulate matter (PM) exposure and mental illness have not yet been established. However, there is increasing interest in emerging evidence supporting a possible etiological link.ObjectivesThis systematic review aims to provide a comprehensive overview and synthesis of the epidemiological literature to date by investigating quantitative associations between PM and multiple adverse mental health outcomes (depression, anxiety, bipolar disorder, psychosis, or suicide).MethodsWe undertook a systematic review and meta-analysis. We searched Medline, PsycINFO, and EMBASE from January 1974 to September 2017 for English-language human observational studies reporting quantitative associations between exposure to PM <1.0?m in aerodynamic diameter (ultrafine particles) and PM <2.5 and <10?m in aerodynamic diameter (PM2.5 and PM10, respectively) and the above psychiatric outcomes. We extracted data, appraised study quality using a published quality assessment tool, summarized methodological approaches, and conducted meta-analyses where appropriate.ResultsOf 1,826 citations identified, 22 met our overall inclusion criteria, and we included 9 in our primary meta-analyses. In our meta-analysis of associations between long-term (>6?months) PM2.5 exposure and depression (n=5 studies), the pooled odds ratio was 1.102 per 10-?g/m3 PM2.5 increase (95% CI: 1.023, 1.189; I2=0.00%). Two of the included studies investigating associations between long-term PM2.5 exposure and anxiety also reported statistically significant positive associations, and we found a statistically significant association between short-term PM10 exposure and suicide in meta-analysis at a 0-2 d cumulative exposure lag.DiscussionOur findings support the hypothesis of an association between long-term PM2.5 exposure and depression, as well as supporting hypotheses of possible associations between long-term PM2.5 exposure and anxiety and between short-term PM10 exposure and suicide. The limited literature and methodological challenges in this field, including heterogeneous outcome definitions, exposure assessment, and residual confounding, suggest further high-quality studies are warranted to investigate potentially causal associations between air pollution and poor mental health. https://doi.org/10.1289/EHP4595.

Project description:BACKGROUND:The link between PM2.5 exposure and adverse health outcomes is well documented from studies across the world. However, the reported effect estimates vary across studies, locations and constituents. We aimed to conduct a meta-analysis on associations between short-term exposure to PM2.5 constituents and mortality using city-specific estimates, and explore factors that may explain some of the observed heterogeneity. METHODS:We systematically reviewed epidemiological studies on particle constituents and mortality using PubMed and Web of Science databases up to July 2015.We included studies that examined the association between short-term exposure to PM2.5 constituents and all-cause, cardiovascular, and respiratory mortality, in the general adult population. Each study was summarized based on pre-specified study key parameters (e.g., location, time period, population, diagnostic classification standard), and we evaluated the risk of bias using the Office of Health Assessment and Translation (OHAT) Method for each included study. We extracted city-specific mortality risk estimates for each constituent and cause of mortality. For multi-city studies, we requested the city-specific risk estimates from the authors unless reported in the article. We performed random effects meta-analyses using city-specific estimates, and examined whether the effects vary across regions and city characteristics (PM2.5 concentration levels, air temperature, elevation, vegetation, size of elderly population, population density, and baseline mortality). RESULTS:We found a 0.89% (95% CI: 0.68, 1.10%) increase in all-cause, a 0.80% (95% CI: 0.41, 1.20%) increase in cardiovascular, and a 1.10% (95% CI: 0.59, 1.62%) increase in respiratory mortality per 10?g/m3 increase in PM2.5. Accounting for the downward bias induced by studies of single days, the all-cause mortality estimate increased to 1.01% (95% CI: 0.81, 1.20%). We found significant associations between mortality and several PM2.5 constituents. The most consistent and stronger associations were observed for elemental carbon (EC) and potassium (K). For most of the constituents, we observed high variability of effect estimates across cities. CONCLUSIONS:Our meta-analysis suggests that (a) combustion elements such as EC and K have a stronger association with mortality, (b) single lag studies underestimate effects, and (c) estimates of PM2.5 and constituents differ across regions. Accounting for PM mass in constituent's health models may lead to more stable and comparable effect estimates across different studies. SYSTEMATIC REVIEW REGISTRATION:PROSPERO: CRD42017055765.

Project description:Background/Aims:An updated systematic review and meta-analysis was conducted to assess the effect of prophylactic dexamethasone for tracheal intubation of general anesthesia on postoperative sore throat (POST). Methods:Comprehensive literature search of databases for randomized controlled trials (RCTs), including Embase, PubMed, and Cochrane Library, which evaluate the effect of prophylactic dexamethasone on POST was conducted. RevMan 5.0 and STATA 12.0 software were used to perform meta-analyses. Results:Fourteen RCTs totaling 1,837 patients were included for analysis. Compared with placebo, a significant reduction in the incidence of POST (OR 0.44, 95% CI 0.33-0.58, P<0.00001), hoarseness (OR 0.42, 95% CI 0.31-0.58, P<0.00001), and postoperative nausea and vomiting (PONV) (OR 0.06, 95% CI 0.03-0.14, P<0.00001) and a comparable incidence of cough (OR 0.59, 95% CI 0.19-1.89, P=0.38) was described in patients receiving dexamethasone, with or without concomitant drugs. Dexamethasone ?0.2 mg/kg had a statistically greater impact on reducing the incidence of POST than dexamethasone 0.1-0.2 mg/kg, while dexamethasone ?0.1 mg/kg did not. Dexamethasone was as effective as other drugs such as ondansetron, magnesium sulfate, ketamine gargle, betamethasone gel, and ketorolac for reducing POST (OR 0.70, 95% CI 0.46-1.07, P=0.10). Dexamethasone plus a different drug was more effective than dexamethasone alone for reducing the incidence of POST at 24 hours (OR 0.40, 95% CI 0.21-0.77, P=0.006). Compared with controls, a statistically higher blood glucose level was the only adverse event during the immediate postoperative period in patients receiving dexamethasone. Conclusions:Intravenous dexamethasone ?0.2 mg/kg within 30 minutes before or after induction of general anesthesia should be recommended as grade 1A evidence with safety and efficacy in reducing the incidence of POST, hoarseness, and PONV in patients without pregnancy, diabetes mellitus, or contraindications for corticosteroids.

Dataset Information

The impact of particulate matter 2.5 on the risk of preeclampsia: an updated systematic review and meta-analysis.

Publications

The impact of particulate matter 2.5 on the risk of preeclampsia: an updated systematic review and meta-analysis.

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