The prenatal weekly temperature exposure and neonatal congenital heart disease: a large population-based observational study in China

Abstract 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..

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:30

Enthalten in:

Environmental science and pollution research - 30(2022), 13 vom: 29. Dez., Seite 38282-38291

Sprache:

Englisch

Beteiligte Personen:

Xu, Weize [VerfasserIn]
Li, Die [VerfasserIn]
Shao, Zehua [VerfasserIn]
You, Yanqin [VerfasserIn]
Pan, Feixia [VerfasserIn]
Lou, Hongliang [VerfasserIn]
Li, Jing [VerfasserIn]
Jin, Yueqin [VerfasserIn]
Wu, Ting [VerfasserIn]
Pan, Lulu [VerfasserIn]
An, Jing [VerfasserIn]
Xu, Junqiu [VerfasserIn]
Cheng, Wei [VerfasserIn]
Tao, Linghua [VerfasserIn]
Lei, Yongliang [VerfasserIn]
Huang, Chengyin [VerfasserIn]
Shu, Qiang [VerfasserIn]

Links:

Volltext [lizenzpflichtig]

Themen:

Congenital heart disease
Distributed lag nonlinear model
Exposure–response effect
Multivariate meta-analysis
Neonate
Temperature

Anmerkungen:

© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

doi:

10.1007/s11356-022-24396-5

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

SPR049831372