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Cross-Country individual participant analysis of 4.1 million singleton births in 5 countries with very high human development index confirms known associations but provides no biologic explanation for 2/3 of all preterm births

Authors :
Sabaratnam Arulkumaran
Hamid Rushwan
Verena Sengpiel
Bo Jacobsson
David M. Ferrero
Nataša Tul
Petr Velebil
Jim Larson
Ivan Verdenik
Joe Leigh Simpson
Sarah Cairns-Smith
Mary E. D'Alton
Jane E. Norman
Jonathan A. Mayo
Chris P. Howson
Ernesto Castelazo
Jennifer L. Howse
Gian Carlo Di Renzo
Gary M. Shaw
Matteo Bottai
James N. Martin
Luo, Zhong-cheng
Source :
Ferrero, D M, Larson, J, Jacobsson, B, Di Renzo, G C, Norman, J E, Martin, J N, D’alton, M, Castelazo, E, Howson, C P, Sengpiel, V, Bottai, M, Mayo, J A, Shaw, G M, Verdenik, I, Tul, N, Velebil, P, Cairns-smith, S, Rushwan, H, Arulkumaran, S, Howse, J L, Simpson, J L & Luo, Z (ed.) 2016, ' Cross-Country Individual Participant Analysis of 4.1 Million Singleton Births in 5 Countries with Very High Human Development Index Confirms Known Associations but Provides No Biologic Explanation for 2/3 of All Preterm Births ', PLoS ONE, vol. 11, no. 9, pp. e0162506 . https://doi.org/10.1371/journal.pone.0162506, PLoS ONE, PLoS ONE, Vol 11, Iss 9, p e0162506 (2016)
Publication Year :
2016

Abstract

Background Preterm birth is the most common single cause of perinatal and infant mortality, affecting 15 million infants worldwide each year with global rates increasing. Understanding of risk factors remains poor, and preventive interventions have only limited benefit. Large differences exist in preterm birth rates across high income countries. We hypothesized that understanding the basis for these wide variations could lead to interventions that reduce preterm birth incidence in countries with high rates. We thus sought to assess the contributions of known risk factors for both spontaneous and provider-initiated preterm birth in selected high income countries, estimating also the potential impact of successful interventions due to advances in research, policy and public health, or clinical practice. Methods We analyzed individual patient-level data on 4.1 million singleton pregnancies from four countries with very high human development index (Czech Republic, New Zealand, Slovenia, Sweden) and one comparator U.S. state (California) to determine the specific contribution (adjusting for confounding effects) of 21 factors. Both individual and population-attributable preterm birth risks were determined, as were contributors to cross-country differences. We also assessed the ability to predict preterm birth given various sets of known risk factors. Findings Previous preterm birth and preeclampsia were the strongest individual risk factors of preterm birth in all datasets, with odds ratios of 4.6–6.0 and 2.8–5.7, respectively, for individual women having those characteristics. In contrast, on a population basis, nulliparity and male sex were the two risk factors with the highest impact on preterm birth rates, accounting for 25–50% and 11–16% of excess population attributable risk, respectively (p

Details

Language :
English
ISSN :
19326203
Database :
OpenAIRE
Journal :
Ferrero, D M, Larson, J, Jacobsson, B, Di Renzo, G C, Norman, J E, Martin, J N, D’alton, M, Castelazo, E, Howson, C P, Sengpiel, V, Bottai, M, Mayo, J A, Shaw, G M, Verdenik, I, Tul, N, Velebil, P, Cairns-smith, S, Rushwan, H, Arulkumaran, S, Howse, J L, Simpson, J L & Luo, Z (ed.) 2016, ' Cross-Country Individual Participant Analysis of 4.1 Million Singleton Births in 5 Countries with Very High Human Development Index Confirms Known Associations but Provides No Biologic Explanation for 2/3 of All Preterm Births ', PLoS ONE, vol. 11, no. 9, pp. e0162506 . https://doi.org/10.1371/journal.pone.0162506, PLoS ONE, PLoS ONE, Vol 11, Iss 9, p e0162506 (2016)
Accession number :
edsair.doi.dedup.....c1f23b95fd99ef3f013361798fc7f424