The Mechanism of Adverse Pregnancy Outcomes Influenced by Maternal Air Pollution Exposure
NCT ID: NCT04215406
Last Updated: 2022-04-29
Study Results
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Basic Information
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UNKNOWN
288 participants
OBSERVATIONAL
2020-01-01
2023-06-30
Brief Summary
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Detailed Description
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Research content: This research is a prospective cohort study from January 2020 to December 2022, 288 pregnant women will be recruited from the First Affiliated Hospital of Xi'an Jiaotong University. A health management birth cohort will be established. The subjects will be enrolled within 6 weeks of gestation, and be followed up about 9 months: ①To construct a spatial and temporal series about adverse pregnancy outcomes influenced by maternal exposure to air pollution during pregnancy; ②To explore the effects of maternal exposure to air pollution on hormone and inflammatory cytokine during pregnancy, and the relationship between maternal level of hormone, inflammation cytokine and adverse pregnancy outcomes; ③To determine if maternal hormone and inflammatory cytokine mediate the occurrence of adverse pregnancy outcomes during pregnancy under maternal exposure to air pollution as intermediate regulatory product.
Research meaning:①To explore the mechanism of adverse pregnancy outcomes affected by air pollution during pregnancy, provide an epidemic evidence for interposing the occurrence of adverse pregnancy outcomes by regulating maternal hormone and inflammatory cytokine; ②To define the critical period of the developing of adverse pregnancy outcomes in spatial and temporal series, and to calculate the cutoff value of air pollution on adverse pregnancy outcomes, propose short-term control target of air pollution related to maternal and child health, construct the first-level prevention strategy for adverse pregnancy outcomes.
Research steps: ① Complete the recruiting of subjects, which meet the inclusion and exclusion criteria sign an informed consent before the carrying out of research; ② Follow up: Three questionnaires will be conducted at the end of each trimester to acquire the information including sociodemographic characteristics, menstrual history and childbearing history, residence during pregnancy, lifestyle and diet habits, the information of illness and medication, history of past illness, etc. Then the maternal exposure level of air pollutants in every trimester will be calculated, based on air pollution detection station, from Shaanxi Meteorological and Environment Bureau according to residence information of participants; ③ Serum indicators: fasting venous blood samples will be taken at different time points to detect serum level of maternal hormone and inflammatory cytokine, all the venous blood samples will be taken and tested in the laboratory of First Affiliated Hospital of Xi'an Jiaotong University. 4 mL of fasting venous blood sample are needed, and the blood sample will be put in dry test tubes, centrifuged within 1 hour, and the separated serum was stored at -20 ° C, chemiluminescence and ELASA will be adapted to detect the samples respectively. ④ Monitoring of adverse pregnancy outcomes: closely monitor the occurrence of adverse pregnancy outcomes during pregnancy. During the whole study period, the subjects could withdraw the cohort at any time.
Abortion: The abortion includes early spontaneous abortion (occur within 12 weeks of gestation), late spontaneous abortion (occur from 12 weeks to 28 weeks of gestation) and missed abortion included(embryo die in the uterine cavity and fail to excrete themselves at time); Maternal adverse pregnancy outcomes: hypertension disorders of pregnancy (gestational hypertension, preeclampsia, eclampsia, chronic hypertension), GDM (referring to diabetes occur in pregnancy and the glucose metabolism is normal before pregnancy). Adverse outcomes for fetus or newborn: including preterm birth (delivery form 28 weeks to 37 weeks of gestation); low birth weight (newborn weight measured within 72 hours after birth is less than 2500 grams); birth defects (fetal structural, functional or metabolic abnormalities, also known as congenital malformations).
Statistical method: ①Univariate analysis: The maternal exposure levels of air pollution during pregnancy will be treated as independent variables, pregnancy outcomes will be treated as dependent variables, univariate logistic regression will be used to analyze the relationship between them; Then, maternal exposure levels will be treated as independent variables, maternal hormone and inflammatory cytokine as the dependent variable, the univariate logistic regression analysis will be used to analyze the relationship between them; Finally, the level of hormone and inflammatory cytokine will be treated as independent variables, pregnancy outcomes as dependent variables, and analyze the relationship between them; ②Multivariate analysis: adverse pregnancy outcomes will be taken as dependent variables, maternal exposure levels, sociodemographic characteristics, nutritional status, dietary status, and other factors are included as independent variables, the multivariate logistic regression analysis will be used to data analysis. In the multivariate regression the odds ration value and 95% confidence intervention of air pollution to affect adverse pregnancy outcomes will be calculated adjusted for sociodemographic characteristics, nutrition, dietary conditions and other factors; ③Analysis of intermediary factor: mediate effect analysis will be used to analyze whether the maternal hormone and inflammatory cytokine mediate the occurrence of adverse pregnancy outcomes as intermediate regulatory products under maternal air pollution exposure; ④ Spatial and temporal series analysis will be adapted to define the critical period of the developing of adverse pregnancy outcomes under maternal exposure to air pollution, and calculate the cut-off value of air pollution about the adverse pregnancy outcomes.
Research planning: ①Complete research design, follow-up questionnaires, and pre-experiments before 2020; ②Complete enrollment of subjects, follow-up of the study subjects, detecting of serum indicators, monitor the occurrence of adverse pregnancy outcomes before January 2021; ③Complete data export and analysis about basic information and data analysis; ④Clarify the relationship between maternal air pollution exposure during pregnancy and adverse pregnancy outcomes, explore the potential mechanism in the occurrence of adverse pregnancy outcomes influenced by air pollution.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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The level of maternal air pollution exposure during pregnancy
The groups will be decided according to the level of maternal exposure to air pollution during pregnancy. Participants will be divided into experimental group (high level of maternal air pollution exposure) and control group (low level of maternal air pollution exposure) or other groups according to research and actual demand.
The level of air pollution
The intervention measure is the level of air pollution, it is a non-human interventional measure based on the weighted average of various air pollutants monitored by air pollution monitoring stations during different period of pregnancy.
Interventions
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The level of air pollution
The intervention measure is the level of air pollution, it is a non-human interventional measure based on the weighted average of various air pollutants monitored by air pollution monitoring stations during different period of pregnancy.
Eligibility Criteria
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Inclusion Criteria
* This pregnancy is natural conception, the last menstrual period is definite and the menstrual cycle is basically regular;
* The pregnant examinations are performed in our hospital;
* The pregnant women volunteer to participate in this study and sign the informed consent.
Exclusion Criteria
* The pregnant women have trophoblastic diseases such as hydatidiform mole;
* The pregnant women with genital malformations, such as mediastinal uterus, single-horned uterus, double uterus, etc;
* The pregnant women are definitively diagnosed with uterine fibroids, ovarian cysts, polycystic ovary syndrome, gynecological inflammation and other gynecological diseases;
* The pregnant women are definitively diagnosed with hypertensive, diabetes and other chronic disease before pregnancy;
* The pregnant women are definitively diagnosed with autoimmune diseases such as systemic lupus erythematosus, multiple arteriolar inflammation, rheumatoid arthritis, etc;
* The participants have other serious diseases.
20 Years
40 Years
FEMALE
Yes
Sponsors
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First Affiliated Hospital Xi'an Jiaotong University
OTHER
Responsible Party
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Principal Investigators
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Wenfang Yang, PHD
Role: STUDY_DIRECTOR
First Affiliated Hospital Xi'an Jiaotong University
Locations
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First Affiliated Hospital of Xi'an Jiaotong University
Xi'an, Shaanxi, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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XJTU1AF-CRF-2019-023
Identifier Type: -
Identifier Source: org_study_id
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