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
| Autor: | 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 |
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| Přispěvatelé: | Luo, Zhong-cheng |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Male
Pediatrics Databases Factual Maternal Health Slovenia Psychological intervention lcsh:Medicine California Geographical Locations 0302 clinical medicine Pregnancy Risk Factors Medicine and Health Sciences Public and Occupational Health 030212 general & internal medicine lcsh:Science Czech Republic education.field_of_study 030219 obstetrics & reproductive medicine Multidisciplinary Obstetrics and Gynecology Europe Premature Birth Regression Analysis Female Developed country Research Article medicine.medical_specialty Population Oceania Preterm Birth Birth rate 03 medical and health sciences Population Metrics medicine Humans education Demography Sweden Health Care Policy Population Biology business.industry Developed Countries lcsh:R Infant Newborn Biology and Life Sciences Health Risk Analysis Odds ratio Birth Rates medicine.disease Infant mortality United States Pregnancy Complications Health Care Attributable risk Multivariate Analysis People and Places North America Birth Women's Health lcsh:Q business New Zealand |
| Zdroj: | 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) |
| ISSN: | 1932-6203 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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