ObjectiveTo investigate time trends in preterm birth in Europe by multiplicity, gestational age, and onset of delivery.DesignAnalysis of aggregate data from routine sources.SettingNineteen European countries.PopulationLive births in 1996, 2000, 2004, and 2008.MethodsAnnual risk ratios of preterm birth in each country were estimated with year as a continuous variable for all births and by subgroup using log-binomial regression models.Main outcome measuresOverall preterm birth rate and rate by multiplicity, gestational age group, and spontaneous versus non-spontaneous (induced or prelabour caesarean section) onset of labour.ResultsPreterm birth rates rose in most countries, but the magnitude of these increases varied. Rises in the multiple birth rate as well as in the preterm birth rate for multiple births contributed to increases in the overall preterm birth rate. About half of countries experienced no change or decreases in the rates of singleton preterm birth. Where preterm birth rates rose, increases were no more prominent at 35–36 weeks of gestation than at 32–34 weeks of gestation. Variable trends were observed for spontaneous and non-spontaneous preterm births in the 13 countries with mode of onset data; increases were not solely attributed to non-spontaneous preterm births.ConclusionsThere was a wide variation in preterm birth trends in European countries. Many countries maintained or reduced rates of singleton preterm birth over the past 15 years, challenging a widespread belief that rising rates are the norm. Understanding these cross-country differences could inform strategies for the prevention of preterm birth.

The aim of this prospective study was (1) to identify significant and independent clinical risk factors (CRFs) for major osteoporotic (OP) fracture among peri-and early postmenopausal women, (2) to assess, in this population, the discriminatory capacity of FRAX and bone mineral density (BMD) for the identification of women at high risk of fracture, and (3) to assess whether adding risk factors to either FRAX or BMD would improve discriminatory capacity. The study population included 2651 peri-and early postmenopausal women [mean age (AE SD): 54 AE 4 years] with a mean follow-up period of 13.4 years (AE1.4 years). At baseline, a large set of CRFs was recorded, and vertebral BMD was measured (Lunar, DPX) in all women. Femoral neck BMD also was measured in 1399 women in addition to spine BMD. Women with current or past OP treatment for more than 3 months at baseline (n ¼ 454) were excluded from the analyses. Over the follow-up period, 415 women sustained a first low-energy fracture, including 145 major OP fractures (108 wrist, 44 spine, 20 proximal humerus, and 13 hip). In Cox multivariate regression models, only 3 CRFs were significant predictors of a major OP fracture independent of BMD and age: a personal history of fracture, three or more pregnancies, and current postmenopausal hormone therapy. In the subsample of women who had a hip BMD measurement and who were not receiving OP therapy (including hormone-replacement therapy) at baseline, mean FRAX value was 3.8% (AE2.4%). The overall discriminative value for fracture, as measured by the area under the Receiver Operating Characteristic (ROC) curve (AUC), was equal to 0.63 [95% confidence interval (CI) 0.56-0.69] and 0.66 (95% CI 0.60-0.73), respectively, for FRAX and hip BMD. Sensitivity of both tools was low (ie, around 50% for 30% of the women classified as the highest risk). Adding parity to the predictive model including FRAX or using a simple risk score based on the best predictive model in our population did not significantly improve the discriminatory capacity over BMD alone. Only a limited number of clinical risk factors were found associated with the risk of major OP fracture in peri-and early postmenopausal women. In this population, the FRAX tool, like other risk scores combining CRFs to either BMD or FRAX, had a poor sensitivity for fracture prediction and did not significantly improve the discriminatory value of hip BMD alone. ß

Maternity unit closures in France have increased distances that women travel to deliver in hospital. We studied how the supply of maternity units influences the rate of out-of-hospital births using birth certificate data. In 2005-6, 4.3 per 1000 births were out-of-hospital. Rates were more than double for women living 30km or more from their nearest unit and were even higher for women of high parity. These associations persisted in multilevel analyses adjusting for other maternal characteristics. Long distances to maternity units should be a concern to health planners because of the maternal and infant health risks.

Background In many countries the closure of small maternity units has raised concerns about how the concentration of low‐risk pregnancies in large specialized units might affect the management of childbirth. We aimed to assess the role of maternity unit characteristics on obstetric intervention rates among low‐risk women in France. Methods Data on low‐risk deliveries came from the 2010 French National Perinatal Survey of a representative sample of births (n = 9,530). The maternity unit characteristics studied were size, level of care, and private or public status; the interventions included induction of labor; cesarean section; operative vaginal delivery (forceps, spatulas or vacuum); and episiotomy. Multilevel logistic regression analyses were adjusted for maternal confounding factors, gestational age, and infant birthweight. Results The rates of induction, cesarean section, operative delivery, and episiotomy in this low‐risk population were 23.9 percent, 10.1 percent, 15.2 percent, and 19.6 percent, respectively, and 52.0 percent of deliveries included at least one of them. Unit size was unrelated to any intervention except operative delivery (adjusted odds ratio [aOR] = 1.47 (95% CI, 1.10–1.96) for units with >3,000 deliveries per year vs units with <1,000). The rate of every intervention was higher in private units, and the aOR for any intervention was 1.82 (95% CI, 1.59–2.08). After adjustment for maternal characteristics and facility size and status, significant variations in the use of interventions remained between units, especially for episiotomies. Results for level of care were similar to those for unit size. Conclusions The concentration of births in large maternity units in France is not associated with higher rates of interventions for low‐risk births. The situation in private units could be explained by differences in the organization of care. Additional research should explore the differences in practices between maternity units with similar characteristics. (BIRTH 39:3 September 2012)

Key Points Question What is the association of age with long-term mortality after intensive care unit (ICU) discharge? Findings In this cohort study that included 133 966 patients admitted to French ICUs, mortality at 3 years after discharge was 25.8%. Risk of mortality increased across all age strata after age 35 years but with a sharp increase in those 80 years and older; however, the mortality risk was close to the general population risk among elderly patients. Meaning Aging was associated with an increased risk of mortality in the 3 years after hospital ICU discharge, while excess long-term mortality was highest in young surviving patients but not in elderly patients.

Background: The number of maternity units has declined in France, raising concerns about the possible impact of increasing travel distances on perinatal health outcomes. We investigated impact of distance to closest maternity unit on perinatal mortality. Methods: Data from the French National Vital Statistics Registry were used to construct foetal and neonatal mortality rates over 2001–08 by distance from mother’s municipality of residence and the closest municipality with a maternity unit. Data from French neonatal mortality certificates were used to compute neonatal death rates after out-of-hospital birth. Relative risks by distance were estimated, adjusting for individual and municipal-level characteristics. Results: Seven percent of births occurred to women residing at ≥30 km from a maternity unit and 1% at ≥45 km. Foetal and neonatal mortality rates were highest for women living at <5 km from a maternity unit. For foetal mortality, rates increased at ≥45 km compared with 5–45 km. In adjusted models, long distance to a maternity unit had no impact on overall mortality but women living closer to a maternity unit had a higher risk of neonatal mortality. Neonatal deaths associated with out-of-hospital birth were rare but more frequent at longer distances. At the municipal-level, higher percentages of unemployment and foreign-born residents were associated with increased mortality. Conclusion: Overall mortality was not associated with living far from a maternity unit. Mortality was elevated in municipalities with social risk factors and located closest to a maternity unit, reflecting the location of maternity units in deprived areas with risk factors for poor outcome.

BackgroundWhile international variations in overall cesarean delivery rates are well documented, less information is available for clinical sub-groups. Cesarean data presented by subgroups can be used to evaluate uptake of cesarean reduction policies or to monitor delivery practices for high and low risk pregnancies based on new scientific evidence. We studied differences and patterns in cesarean delivery rates by multiplicity and gestational age in Europe and the United States.MethodsThis study used routine aggregate data from 17 European countries and the United States on the number of singleton and multiple live births with cesarean versus vaginal delivery by week of gestation in 2008. Overall and gestation-specific cesarean delivery rates were analyzed. We computed rate differences to compare mode of delivery (cesarean vs vaginal birth) between selected gestational age groups and studied associations between rates in these subgroups namely: very preterm (26–31 weeks GA), moderate preterm (32–36 weeks GA), near term (37–38 weeks GA), term (39–41 weeks GA) and post-term (42+ weeks GA) births, using Spearman’s rank tests.ResultsHigh variations in cesarean rates for singletons and multiples were observed everywhere. Rates for singletons varied from 15% in The Netherlands and Slovenia, to over 30% in the US and Germany. In singletons, rates were highest for very preterm births and declined to a nadir at 40 weeks of gestation, ranging from 8.0% in Sweden and Norway, to 22.5% in the US. These patterns differed across countries; the average rate difference between very preterm and term births was 43 percentage points, but ranged from 14% to 61%. High variations in rate differences were also observed for near term versus term births. For multiples, rates declined by gestational age in some countries, whereas in others rates were similar across all weeks of gestation. Countries’ overall cesarean rates were highly correlated with gestation-specific subgroup rates, except for very preterm births.ConclusionsGestational age patterns in cesarean delivery were heterogeneous across countries; these differences highlight areas where consensus on best practices is lacking and could be used in developing strategies to reduce cesareans.

Background and objective: Pregnant women were a priority group for vaccination during the 2009 A(H1N1) influenza pandemic. In France, vaccination was organized in ad hoc centers. Women received vouchers by mail and were given a non-adjuvanted vaccine. Our objective was to assess the national vaccination rate among pregnant women and to determine the association of vaccination with maternal characteristics, prenatal care, and pregnancy-related health behaviors. Method: Data came from a national representative sample of women who gave birth in March 2010 (N=13 453) and were interviewed in the hospital before discharge; they were in the second trimester of pregnancy during the vaccination campaign. Associations between vaccination and sociodemographic and medical characteristics, region of residence, care providers, and preventive behaviors were assessed with bivariable analyses and logistic regression models. Results: Vaccine coverage was 29.3% (95% CI: 28.6-30.1). The main reason for not being vaccinated was that women did not want this immunization (91%). In adjusted analyses, vaccination was more frequent in women who were older, employed, born in France, with a parity of 1 or 2 and specific favourable health behaviors. The adjusted odds ratio for women with a postgraduate educational level was 4.1 (95% CI: 3.5-4.8) compared to those who did not complete high school. Women with additional risk factors for complications from A(H1N1) infection had a vaccination rate similar to that of other women. Conclusion: The vaccination campaign resulted in poor vaccination coverage, strong social inequalities, and no special protection for pregnant women at the highest risk of complications. These findings provide essential information for the organization of future vaccination campaigns.