Objective To assess the main risk factors associated with stillbirth in a multiethnic English maternity population. Design Cohort study.Setting National Health Service region in England.Population 92 218 normally formed singletons including 389 stillbirths from 24 weeks of gestation, delivered during 2009-11.Main outcome measure Risk of stillbirth.
for The Lancet's Stillbirths Series steering committee* Despite increasing attention and investment for maternal, neonatal, and child health, stillbirths remain invisible-not counted in the Millennium Development Goals, nor tracked by the UN, nor in the Global Burden of Disease metrics. At least 2·65 million stillbirths (uncertainty range 2·08 million to 3·79 million) were estimated worldwide in 2008 (≥1000 g birthweight or ≥28 weeks of gestation). 98% of stillbirths occur in low-income and middle-income countries, and numbers vary from 2·0 per 1000 total births in Finland to more than 40 per 1000 total births in Nigeria and Pakistan. Worldwide, 67% of stillbirths occur in rural families, 55% in rural sub-Saharan Africa and south Asia, where skilled birth attendance and caesarean sections are much lower than that for urban births. In total, an estimated 1·19 million (range 0·82 million to 1·97 million) intrapartum stillbirths occur yearly. Most intrapartum stillbirths are associated with obstetric emergencies, whereas antepartum stillbirths are associated with maternal infections and fetal growth restriction. National estimates of causes of stillbirths are scarce, and multiple (>35) classifi cation systems impede international comparison. Immediate data improvements are feasible through household surveys and facility audit, and improvements in vital registration, including specifi c perinatal certifi cates and revised International Classifi cation of Disease codes, are needed. A simple, programme-relevant stillbirth classifi cation that can be used with verbal autopsy would provide a basis for comparable national estimates. A new focus on all deaths around the time of birth is crucial to inform programmatic investment. Why don't stillbirths count?Stillbirths are invisible in many societies and on the worldwide policy agenda, but are very real to families who experience a death. Despite 30 years of attention to child survival interventions, 1,2 more than 20 years of attention to safe motherhood, 3,4 and increasing recent attention to survival of newborn babies, 5-7 the focus worldwide has remained on survival after livebirth. Stillbirths remain mostly ignored, not counting on policy, programme, and investment agendas, both internationally and often also at the national level. 8 The importance of neonatal deaths has risen on the worldwide policy agenda, mainly because of the Millennium Development Goals (MDGs) and recognition of the increasing proportion of child deaths that happen in the fi rst month of life-from 37% in 2000 7 to 41% in 2008. 9 A baby who dies just after birth counts in the MDG tracking, but a baby who dies in the third trimester or even during labour does not. Neither the MDGs nor the Global Burden of Disease metrics mention stillbirths, and stillbirth data are not routinely compiled by the UN. Even when stillbirths are recorded in surveys, the data are frequently combined with early neonatal deaths and reported as perinatal mortality, a combination that reduces visibility and might mask reporti...
No abstract
The monitoring of fetal weight is an important aspect of antenatal care. To construct an individually adjustable standard, we developed a model to link the predicted birth weight to a fetal weight curve which outlines how this weight is to be reached in an uncomplicated pregnancy. A formula was derived which describes the median fetal weight at each gestation as a proportion of the optimal term weight, and also defines the 90th and 10th centile curves as normal limits. We analyzed a birth weight database of 38,114 singleton, routine ultrasound-dated pregnancies resulting in term deliveries. By stepwise multiple regression analysis, we derived coefficients for the factors that act as variables on term birth weight in our population. Apart from gestational age and sex, the maternal height, weight at first visit, ethnic group, parity and smoking all have significant and independent effects on birth weight. The variation due to ethnic group appears to be physiological in this population. Smoking is associated with a reduction in birth weight, which is independent of maternal physique and related to the number of cigarettes per day as reported at the first visit. We have developed a software program which calculates, on the basis of pregnancy variables entered at the first visit, an adjusted normal range for fetal size. This can be printed out as a chart and used for antenatal surveillance of growth.
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