Objective:
The 2017 American College of Cardiology/American Heart Association (ACC/AHA) guideline recommended a lower threshold (130/80 mmHg) for hypertension in nonpregnant adults. However, the influence of this guideline in Chinese pregnant women is not well characterized.
Methods:
Data of 32 742 and 14 479 mothers who had blood pressure (BP) less than 130/80 mmHg and no proteinuria before 20 gestational weeks and delivered live singletons between 1 January 2014 and 30 November 2019 were extracted from Taizhou and Taicang register-based cohorts, respectively. The average measured BP in the third trimester was obtained and categorized according to the 2017 ACC/AHA guideline. The association between BP and risk of adverse birth outcomes was assessed by multivariate logistic regression analysis.
Results:
In the third trimester, 331 (1.01%) and 378 (2.61%) women had mean BP at least 140/90 mmHg, but 2435 (7.44%) and 1054 (7.28%) had stage 1 hypertension (130–139/80–89 mmHg) in Taizhou and Taicang, respectively. Significant associations between stage 1 hypertension and small for gestational age [odds ratio (OR) = 1.32, 95% confidence interval (CI) = 1.14–1.52] and low birth weight (OR = 1.81, 95% CI = 1.46–2.25) were observed in the Taizhou population. Consistent results were also shown in the Taicang population [OR (95% CI), of 1.46 (1.18–1.79) and 1.50 (1.07–2.11), respectively].
Conclusion:
Stage 1 hypertension in the third trimester defined by the 2017 ACC/AHA guideline was associated with an increased risk for adverse birth outcomes in Eastern Chinese pregnant women, suggesting that this guideline may improve the detection of high BP and surveillance of adverse neonatal outcomes in China.
We aim to explore the link between maternal weekly temperature exposure and CHD in offspring and identify the relative contributions from heat and cold and from moderate and extreme atmospheric temperature. From January 2019 to December 2020, newborns who were diagnosed with CHD by echocardiography in the Network Platform for Congenital Heart Disease (NPCHD) from 11 cities in eastern China were enrolled in the present study. We appraised the exposure lag response relationship between temperature and CHDs in the distributed lag nonlinear model and further probed the pooled estimates by multivariate meta-analysis. We further performed the exposure–response curves in extreme temperature (5
th
percentile for cold and 95
th
for hot events). We also delve into the cumulative risk ratios (CRRs) of temperature on CHDs in general and subgroups. In this study, 5904 of 983, 523 infants were diagnosed with CHDs. The temperature-CHD combination performed positive significance in two exposure windows, gestational weeks 10–16 and 26–31, and reached the maximum effect in the 28th week. Compared with extreme cold (5
th
, 6.14℃), these effects were higher in extreme heat (95
th
, 29.26℃). The cumulative exposure–response curve showed a steep nonlinear rise in the hot tail but showed non-significance at low temperatures. In this range, the CRRs of temperature showed an increment to a ceiling of 3.781 (95% CI: 1.460–10.723). The temperature- CHD curves for both sex groups showed a general growth trend. No statistical significance was observed between these two groups (
P
= 0.106). The cumulative effect of the temperature related CHD was significant in regions with lower education levels (maximum CRR was 9.282 (3.019–28.535)). A degree centigrade increase in temperature exposure was associated with the increment of CHD risk in the first and second trimesters, especially in extreme heat. Neonates born in lower education regions were more vulnerable to temperature-related CHDs.
Supplementary Information
The online version contains supplementary material available at 10.1007/s11356-022-24396-5.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.