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National Research Institute for Family Planning
Preconception Blood Pressure and Risk of Preterm delivery in Chinese reproductive age women
Yang Y, Wang YY, Ma LG, Peng ZQ, Ma X.
Aug 18th, 2014 Beijing
2nd International Conference on Epidemiology & Evolutionary Genetics
Presenter: Ying Yang
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Outline
1
Methods2
Results3
Conclusion4
Background and objective
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Background
Preterm delivery (PTD) is an important adverse pregnancy outcome in pregnant women, which threaten maternal and child health1.
The report of WHO in 2012 showed that around 1 million children die each year due to complications of preterm birth. Many survivors face a lifetime of disability, including learning disabilities and visual and hearing problems.
1. Blencowe H, et al. National, regional and worldwide estimates of preterm birth. The Lancet, June 2012. 9;379(9832):2162-72.
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Background An estimated 15 million babies are born too soon
every year. In China, there are 11.7 million preterm births, second to India.The 10 countries with the greatest number of preterm births:
Countries No. of Preterm Births
India 3,519,100
China 1,172,300
Nigeria 773,600
Pakistan 748,100
Indonesia 675,700
USA 517,400
Bangladesh 424,100
Philippines 348,900
Congo 341,400
Brazil 279,300
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Background
Pre-pregnancy period
Preterm DeliveryRisk factors
Gestation periodNutrition situation
Pregnancy Complications
SmokingAlcohol consumption
Multiple gestation
environmental stimulus
Uncertain
Background
Effective PCC interventions could be an opportunity to improve pregnancy outcomes.
Weight
Blood glucose
Blood pressure
Family history
Life style
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Objective
To examine the association between preconception blood pressure (BP) and the risk of PTD in a historical cohort of reproductive age women in Chinese rural population.
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Methods Study design
A historical cohort study of reproductive age women in Chinese
rural population.
Study population
Rural reproductive age women who participated in National
Free Pre-pregnancy Checkups (NFPC) in 2010-2012 and had
live-born babies before Oct 2013 were recruited in the present
study.
Participants suffered from adverse pregnancy outcomes such
as fetal death, still birth and abortion were excluded.
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Methods National Free Pre-pregnancy Checkups (NFPC)
NFPC is a population-based health survey of reproductive-age couples, which is supported by National Health and Family Planning Commission since 2010, and have been comprehensively implemented in all provinces in China.
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Methods National Free Pre-pregnancy Checkups (NFPC)
Objects• Couples who prepare for pregnancy
Pre-pregnancy medical examination record • Information on disease/family/obstetric history, life styles
and socioeconomic background were carefully collected through face-to-face interview by qualified nurses.
• The physical and laboratory examination were also carried out at the same time, including height, weight, blood pressure, fasting glucose, thyroid-stimulating hormone, TORCH, HBV test, Gynecological B-ultrasonography, and so on.
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Methods National Free Pre-pregnancy Checkups (NFPC)
Follow-up information• A comprehensive evaluation for reproductive risk of
participants were provided after the medical examination.
• After that, two follow-up surveys were carried out by trained staffs. One was in the first trimester during pregnancy, and the other was after delivery.
• The information of LMP and FA supplement usage in the first trimester, pregnancy outcomes as well as the newborn information were collected through telephone or face to face interview.
Methods
NFPC participants Jan 2010 to Dec 2012
Participants who are failure to get pregnant,
suffered from fetal death, still birth abortion,
Lost to follow-up
388,708 women have live-birth before Oct 2013
Participants lack of preconception blood
pressure records
377,844 women have live-birth before Oct 2013
Study population
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Methods Baseline data
In the present study, preconception blood pressure, height,
weight, history of pregnancy and diseases, life style, fasting
glucose level and other variables were obtained from the NFPC
family archives in 2010-2012.
Follow-up data collection
Follow-up survey period was from June 2010 to Oct 2013.
Preterm delivery (PTD) which is defined as babies born alive
within 28 to 37 weeks of pregnancy are completed, were the
end point event.
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Methods Statistical analysis
Study participants were grouped into several categories
according to preconception systolic BP (SBP) or diastolic
BP (DBP) separately.
To compare the strength of the association between
preconception SBP, DBP and PTD, the relative risks for
each cut-point of SBP and DBP were calculated,
separately, using the lowest BP level group as the
reference categories.
Multivariate Logistic regression models were used to
estimate the relative risk (RR) on PTD.
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ResultsTable 1. Baseline characteristics of study participants
Characteristics Normotension Hypertension P-value
N(%) 368855(97.6) 8989(2.4) -
age[year, mean(SD)] 27.7(4.2) 29.3(4.9) <0.001
High school education(%) 29.6 24.5 <0.001
smoking (%) 0.3 0.3 0.989
Alcohol consumption (%) 3.0 3.1 0.557
BMI[kg/m2, mean (SD)] 21.0(2.6) 22.8(3.8) <0.001
SBP [mmHg, mean (SD)] 108.6(9.6) 129.1(15.0) <0.001
DBP [mmHg, mean (SD)] 71.3(6.9) 90.9(7.5) <0.001
Glucose [mmol/L, mean (SD)] 4.9(1.6) 5.0(1.2) <0.001
Thyroid dysfuction(%) 13.8 17.7 <0.001
History of adverse pregnancy outcomes(%) 17.3 24.1 <0.001
Northern residents (%) 40.1 51.1 <0.001
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Results
End point events
Until Oct 2013, 377,844 live births were included in the
historical cohort, and a total of 3579 PTD events were
documented.
Data analysis strategy
In consideration of that multiple gestation may
significantly increased the PTD risk, multiple gestation
women were excluded from the analysis.
Finally, 370,784 participants who have singleton live
births were included in the statistic analysis.
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Results
Table 2. Incidence and RR of PTD by preconception SBP level
SBP
(mmHg)
PTD incidence
(%)RRa (95%CI) P-valuea RRb (95%CI) P-valueb
<120 0.87 1.00 - 1.00 -
120-139 1.03 1.14(1.05-1.24) 0.001 1.20(1.10-1.32) <0.001
140-159 1.96 1.97(1.43-2.73) <0.001 2.14(1.52-3.13) <0.001
>=160 2.63 2.41(1.14-5.10) 0.022 3.13(1.48-6.66) 0.003
a adjusted for age.b adjusted for age, BMI, smoking, alcohol consumption, diabetes, thyroid
dysfunction, history of adverse pregnancy outcome, northern residents and high school education.
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Results
Table 3. Incidence and RR of PTD by preconception DBP level
DBP
(mmHg)
PTD incidence
(%)RRa (95%CI) P-valuea RRb (95%CI) P-valueb
<80 0.81 1.00 - 1.00 -
80-89 1.01 1.26(1.16-1.36) <0.001 1.30(1.18-1.42) <0.001
90-99 1.40 1.67(1.35-2.06) <0.001 1.72(1.36-2.17) <0.001
>=100 2.05 2.31(1.44-3.69) <0.001 2.52(1.53-4.17) <0.001
a adjusted for age.b adjusted for age, BMI, smoking, alcohol consumption, diabetes, thyroid
dysfunction, history of adverse pregnancy outcome, northern residents and high school education.
Results
<120 120-139 140-159 >=1600.00
1.00
2.00
3.00
4.00
0.00
1.00
2.00
3.00
4.00
Preconception SBP level and PTD risk
PTD incidence adjusted RRa adjusted RRb
SBP level
adju
sted
RR
PTD
incid
ence
(%)
<80 80-89 90-99 >=1000.00
1.00
2.00
3.00
0.00
1.00
2.00
3.00
Preconception DBP level and PTD risk
PTD incidence adjusted RRa adjusted RRb
DBP level
adju
sted
RR
PTD
incid
ence
(%)
There is a strong linear and independent relationship
between BP levels and the risk of PTD in Chinese
reproductive age women.
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Discussion
Preconception BP elevated
Preterm DeliveryRisk
Gestation periodPregnancy induce
hypertension syndrome(PIH)
Gestational hypertension
Fetal growth restriction
Increase
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Conclusion
The risk of PTD was significantly associated with
maternal preconception blood pressure.
The higher the SBP or DBP level, the higher the
relative risk of PTD incidence in Chinese
reproductive age women.
Preconception health care especially preconception
BP measurements and specific hypertension
intervention are important and necessary towards
women who prepares for pregnancy.
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Acknowledgement
Thanks to all the staffs of National Research Institute for
Family Planning.
Thanks to the staffs of National Free Pre-pregnancy Checkups.
Thanks for the Maternal and Child Health Services Division,
National Health and Family Planning Commission.
This work was supported The research was supported by
Central Public-interest Scientific Institution Basal Research
Fund (2012GJSSJKC03).
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