Skip to main content
Download PDF

Volume 10 Supplement 1

Born too soon

Born Too Soon: The global epidemiology of 15 million preterm births

Reproductive Health volume 10, Article number: S2 (2013) Cite this article

Abstract

This second paper in the Born Too Soon supplement presents a review of the epidemiology of preterm birth, and its burden globally, including priorities for action to improve the data. Worldwide an estimated 11.1% of all livebirths in 2010 were born preterm (14.9 million babies born before 37 weeks of gestation), with preterm birth rates increasing in most countries with reliable trend data. Direct complications of preterm birth account for one million deaths each year, and preterm birth is a risk factor in over 50% of all neonatal deaths. In addition, preterm birth can result in a range of long-term complications in survivors, with the frequency and severity of adverse outcomes rising with decreasing gestational age and decreasing quality of care. The economic costs of preterm birth are large in terms of immediate neonatal intensive care, ongoing long-term complex health needs, as well as lost economic productivity. Preterm birth is a syndrome with a variety of causes and underlying factors usually divided into spontaneous and provider-initiated preterm births. Consistent recording of all pregnancy outcomes, including stillbirths, and standard application of preterm definitions is important in all settings to advance both the understanding and the monitoring of trends. Context specific innovative solutions to prevent preterm birth and hence reduce preterm birth rates all around the world are urgently needed. Strengthened data systems are required to adequately track trends in preterm birth rates and program effectiveness. These efforts must be coupled with action now to implement improved antenatal, obstetric and newborn care to increase survival and reduce disability amongst those born too soon.

Declaration

This article is part of a supplement jointly funded by Save the Children's Saving Newborn Lives programme through a grant from The Bill & Melinda Gates Foundation and March of Dimes Foundation and published in collaboration with the Partnership for Maternal, Newborn and Child Health and the World Health Organization (WHO). The original article was published in PDF format in the WHO Report "Born Too Soon: the global action report on preterm birth" (ISBN 978 92 4 150343 30), which involved collaboration from more than 50 organizations. The article has been reformatted for journal publication and has undergone peer review according to Reproductive Health's standard process for supplements and may feature some variations in content when compared to the original report. This co-publication makes the article available to the community in a full-text format.

Why focus on preterm birth?

Preterm birth is a major cause of death and a significant cause of long-term loss of human potential amongst survivors all around the world. Complications of preterm birth are the single largest direct cause of neonatal deaths, responsible for 35% of the world's 3.1 million deaths a year, and the second most common cause of under-5 deaths after pneumonia (Figure 1). In almost all high- and middle-income countries of the world, preterm birth is the leading cause of child death [1]. Being born preterm also increases a baby's risk of dying due to other causes, especially from neonatal infections [2] with preterm birth estimated to be a risk factor in at least 50% of all neonatal deaths [3].

Figure 1
figure1

Estimated distribution of causes of 3.1 million neonatal deaths in 193 countries in 2010. Source: Updated from Lawn et al., 2005, using data from 2010 published in Liu L, et al., 2012.

Full size image

Addressing preterm birth is essential for accelerating progress towards Millennium Development Goal 4 [4, 5]. In addition to its significant contribution to mortality, the effect of preterm birth amongst some survivors may continue throughout life, impairing neuro-developmental functioning through increasing the risk of cerebral palsy, learning impairment and visual disorders and affecting long-term physical health with a higher risk of disease [6]. These effects exert a heavy burden on families, society and the health system (Table 1) [7, 8]. Hence, preterm birth is one the largest single conditions in the Global Burden of Disease analysis given the high mortality and the considerable risk of lifelong impairment [9].

Table 1 Long-term impact of preterm birth on survivors
Full size table

Data on preterm birth rates are not routinely collected in many countries and, where available, are frequently not reported using a standard international definition. Time series using consistent definitions are lacking for all but a few countries, making comparison within and between countries challenging. In high-income countries with reliable data, despite several decades of efforts, preterm birth rates appear to have increased from 1990 to 2010 [10–12], although the United States reports a slight decrease in the rates of late preterm birth (34 to <37 completed weeks) since 2007 [13].

Recent estimates of preterm birth rates (all live births before 37 completed weeks) for 184 countries in 2010 and a time series for 65 countries with sufficient data suggest that 14.9 million (uncertainty range: 12.3-18.1 million) babies were born preterm in 2010 [14]. This paper reviews the epidemiology of preterm birth, and makes recommendations for efforts to improve the data and use the data for action to address preterm birth.

Understanding the data

Preterm birth -- what is it?

Defining preterm birth

Preterm birth is defined by WHO as all births before 37 completed weeks of gestation or fewer than 259 days since the first day of a woman's last menstrual period [15]. Preterm birth can be further sub-divided based on gestational age: extremely preterm (<28 weeks), very preterm (28 - <32 weeks) and moderate preterm (32 - <37 completed weeks of gestation) (Figure 2). Moderate preterm birth may be further split to focus on late pre-term birth (34 - <37 completed weeks). The 37 week cut off is somewhat arbitrary, and it is now recognized that whilst the risks associated with preterm birth are greater the lower the gestational age, even babies born at 37 or 38 weeks have higher risks than those born at 40 weeks gestation [16].

Figure 2
figure2

Overview of definitions for preterm birth and related pregnancy outcomes. Source: Reproduced with permission from Blencowe et al. (2012) National, regional and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet 379(9832): 2162-2172.

Full size image

The international definition for stillbirth rate clearly states to use stillbirths > 1,000 g or 28 weeks gestation, improving the ability to compare rates across countries and times [17, 18]. For preterm birth, International Classification of Disease (ICD) encourages the inclusion of all live births. This definition has no lower boundary, which complicates the comparison of reported rates both between countries and within countries over time since perceptions of viability of extremely preterm babies change with increasingly sophisticated neonatal intensive care, and some countries only include live births after a specific cut-off, for example, 22 weeks. In addition, other reports use non-standard cut-offs for upper gestational age (e.g., including babies born at up to 38 completed weeks of gestation).

In many high-and middle-income countries, the official definitions of live birth or stillbirth have changed over time. Even without an explicit lower gestational age cut-off in national definitions, the medical care given and whether or not birth and death registration occurs may depend on these perceptions of viability [19, 20]. Hence, even if no "official" lower gestational age cut-off is specified for recording a live birth, misclassification of a livebirth to stillbirth is more common if the medical team perceives the baby to be extremely preterm and thus less likely to survive [20]. Eighty percent of all stillbirths in high-income countries are born preterm, accounting for 5% of all preterm births. Counting only live births underestimates the true burden of preterm birth [21, 22].

In addition to the definition and perceived viability issue, some reports include only singleton live births, complicating comparison even further. From a public health perspective and for the purposes of policy and planning, the total number of preterm births is the measure of interest.

Preterm birth - why does it occur?

Preterm birth is a syndrome with a variety of causes which can be classified into two broad subtypes: (1) spontaneous preterm birth (spontaneous onset of labour or following prelabour premature rupture of membranes (pPROM)) and (2) provider-initiated preterm birth (defined as induction of labor or elective caesarean birth before 37 completed weeks of gestation for maternal or fetal indications (both "urgent" or "discretionary"), or other non-medical reasons) (Table 2) [23].

Table 2 Types of Preterm Birth and Risk Factors
Full size table

Spontaneous preterm birth is a multi-factorial process, resulting from the interplay of factors causing the uterus to change from quiescence to active contractions and to birth before 37 completed weeks of gestation. The precursors to spontaneous preterm birth vary by gestational age [24], and social and environmental factors, but the cause of spontaneous preterm labor remains unidentified in up to half of all cases [25]. Maternal history of preterm birth is a strong risk factor and most likely driven by the interaction of genetic, epigenetic and environmental risk factors [26]. Many maternal factors have been associated with an increased risk of spontaneous preterm birth, including young or advanced maternal age, short inter-pregnancy intervals and low maternal body mass index [27, 28].

Another important risk factor is uterine over distension with multiple pregnancy. Multiple pregnancies (twins, triplets, etc.) carry nearly 10 times the risk of preterm birth compared to singleton births [29]. Naturally occurring multiple pregnancies vary among ethnic groups with reported rates from 1 in 40 in West Africa to 1 in 200 in Japan, but a large contributor to the incidence of multiple pregnancies has been rising maternal age and the increasing availability of assisted conception in high-income countries [30]. This has led to a large increase in the number of births of twins and triplets in many of these countries. For example, England and Wales, France and the United States reported 50 to 60% increases in the twin rate from the mid-1970s to 1998, with some countries (e.g. Republic of Korea) reporting even larger increases [31]. More recent policies, limiting the number of embryos transferred during in vitro fertilisation may have begun to reverse this trend in some countries [32], while others continue to report increasing multiple birth rates [33, 34].

Infection plays an important role in preterm birth. Urinary tract infections, malaria, bacterial vaginosis, HIV and syphilis are all associated with increased risk of preterm birth [35]. In addition, other conditions have more recently been shown to be associated with infection, e.g., "cervical insufficiency" resulting from ascending intrauterine infection and inflammation with secondary premature cervical shortening [36].

Some lifestyle factors that contribute to spontaneous preterm birth include stress and excessive physical work or long times spent standing [28]. Smoking and excessive alcohol consumption as well as periodontal disease also have been associated with increased risk of preterm birth [35].

Preterm birth is both more common in boys, with around 55% of all preterm births occurring in males [37], and is associated with a higher risk of dying when compared to girls born at a similar gestation [38]. The role of ethnicity in preterm birth (other than through twinning rates) has been widely debated, but evidence supporting a variation in normal gestational length with ethnic group has been reported in many population-based studies since the 1970s [39]. While this variation has been linked to socioeconomic and lifestyle factors in some studies, recent studies suggest a role for genetics. For example, babies of black African ancestry tend to be born earlier than Caucasian babies [24, 40]. However, for a given gestational age, babies of black African ancestry have less respiratory distress [41], lower neonatal mortality [42] and are less likely to require special care than Caucasian babies [24]. Babies with congenital abnormalities are more likely to be born preterm, but are frequently excluded from studies reporting preterm birth rates. Few national-level data on the prevalence of the risk factors for preterm birth are available for modelling preterm birth rates.

The number and causes of provider-initiated preterm birth are more variable. Globally, the highest burden countries have very low levels due to lower coverage of pregnancy monitoring and low caesarean birth rates (less than 5% in most African countries). However, in a recent study in the United States, more than half of all provider-initiated pre-term births at 34 to 36 weeks gestation were carried out in absence of a strong medical indication [43]. Unintended preterm birth also can occur with the elective delivery of a baby thought to be term due to errors in gestational age assessment [44]. Clinical conditions underlying medically-indicated preterm birth can be divided into maternal and fetal of which severe preeclampsia, placental abruption, uterine rupture, cholestasis, fetal distress and fetal growth restriction with abnormal tests are some of the more important direct causes recognized [39]. Underlying maternal conditions (e.g., renal disease, hypertension, obesity and diabetes) increase the risk of maternal complications (e.g., preeclampsia) and medically-indicated preterm birth. The worldwide epidemic of obesity and diabetes is, thus, likely to become an increasingly important contributor to global preterm birth. In one region in the United Kingdom, 17% of all babies born to diabetic mothers were preterm, more than double the rate in the general population [24]. Both maternal and fetal factors are more frequently seen in pregnancies occurring after assisted fertility treatments, thus increasing the risk of both spontaneous and provider-initiated preterm births [44, 45].

Differentiating the causes of preterm birth is particularly important in countries where cesarean birth is common. Nearly 40% of preterm births in France and the United States were reported to be provider-initiated in 2000, compared to just over 20% in Scotland and the Netherlands. The levels of provider-initiated preterm births are increasing in all these countries in part due to more aggressive policies for caesarean section for poor foetal growth [46, 47]. In the United States, this increase is reported to be at least in part responsible for the overall increase in the preterm birth rate from 1990 to 2007 and the decline in perinatal mortality [39]. No population-based studies are available from low- or middle-income countries. However, of the babies born preterm in tertiary facilities in low- and middle-income countries, the reported proportion of preterm births that were provider-initiated ranged from around 20% in Sudan and Thailand to nearly 40% in 51 facilities in Latin America and a teaching hospital in Ghana [48–51]. However, provider-initiated preterm births will represent a relatively smaller proportion of all preterm births in these countries where access to diagnostic tools is limited. These pregnancies, if not delivered electively, will follow their natural history, and may frequently end in spontaneous preterm birth (live or stillbirth)[52].

Preterm birth--how is it measured?

There are many challenges to measuring preterm birth rates that have inhibited national data interpretation and multi-country assessment. In addition to the variable application of the definition, the varying methods used to measure gestational age and the differences in case ascertainment and registration complicate the interpretation of preterm birth rates across and within nations.

Assessing gestational age

Measurement of gestational age has changed over time. As the dominant effect of gestational age on survival and long-term impairment has become apparent over the last 30 years, perinatal epidemiology has shifted from measuring birthweight alone to focusing on gestational age. However, many studies, even of related pregnancy outcomes, continue to omit key measures of gestational age. The most accurate "gold standard" for assessment is routine early ultrasound assessment together with foetal measurements, ideally in the first trimester. Gestational assessment based on the date of last menstrual period (LMP) was previously the most widespread method used and remains the only available method in many settings. It assumes that conception occurs on the same day as ovulation (14 days after the onset of the LMP). It has low accuracy due to considerable variation in length of menstrual cycle among women, conception occurring up to several days after ovulation and the recall of the date of LMP being subject to errors [53]. Many countries now use "best obstetric estimate," combining ultrasound and LMP as an approach to estimate gestational age. The algorithm used can have a large impact on the number of preterm births reported. For example, a large study from a Canadian teaching hospital found a preterm rate of 9.1% when assessed using ultrasound alone, compared to 7.8% when using LMP and ultrasound [31].

Any method using ultrasound requires skilled technicians, equipment and for maximum accuracy, first-trimester antenatal clinic attendance. These are not common in low-income set tings where the majority of preterm births occur. Alternative approaches to LMP in these set tings include clinical assessment of the newborn after birth, fundal height or birthweight as a surrogate. While birthweight is closely linked with gestational age, it cannot be used interchangeably since there is a range of "normal" birthweight for a given gestational age and gender. Birthweight is likely to overestimate preterm birth rates in some settings, especially in South Asia where a high proportion of babies are small for gestational age.

Accounting for all births

The recording of births and deaths and the likelihood of active medical intervention after preterm birth are affected by perceptions of viability and social and economic factors, especially in those born close to the lower gestational age cut-off used for registration. Any baby showing signs of being live at birth should be registered as a livebirth regardless of the gestation [54]. The registration thresholds for stillbirths vary between countries from 16 to 28 weeks, and under-registration of both live and stillbirths close to the registration boundary is well documented [55]. The cut-off for viability has changed over time and varies across settings, with babies born at 22 to 24 weeks receiving full intensive care and surviving in some high-income countries, whilst babies born at up to 32 weeks gestation are perceived as non-viable in many low-resource settings. An example of this reporting bias is seen in high-income settings where the increase in numbers of extremely preterm (<28 weeks) births registered is likely to be due to improved case ascertainment rather than a genuine increase in preterm births in this group [56] and three community cohorts from South Asia with high overall preterm birth rates of 14 to 20%, but low proportions (2%) of extremely preterm births (<28 weeks) compared to the proportion from pooled datasets from developed countries (5.3%). In addition, even where care is offered to these very preterm babies, intensive care may be rationed [57, 58].

Other cultural and social factors that have been reported to affect completeness of registration include provision of maternity benefits for any birth after the registration threshold, the need to pay burial costs for a registered birth but not for a miscarriage and increased hospital fees following a birth compared to a miscarriage [59]. In low-income settings, a live preterm birth may be counted as a stillbirth due to perceived non-viability or to "protect the mother" [55].

The definition of preterm birth focuses on live-born babies only. Counting all preterm births, both live and stillborn, would be preferable to improve comparability especially given stillbirth/livebirth misclassification. An increasing proportion of all preterm infants born will be stillborn with decreasing gestational age. The pathophysiology is similar for live and stillbirths; thus, for the true public health burden, it is essential to count both preterm babies born alive and all stillbirths [23]. Until these classification differences based on method (Table 3), lower gestational age cut-offs for registration of preterm birth, the use of singleton versus all births (including multiples), the inclusion of live births versus total births (including live and stillbirths) and case ascertainment have been resolved, caution needs to be applied when interpreting regional and temporal variations in preterm birth rates.

Table 3 Gestational age methods, accuracy and limitations
Full size table

Using the data for action

Preterm birth rates--where, and when?

Global, regional and national variation of preterm birth for the year 2010

New WHO estimates of global rates of preterm births indicate that of the 135 million live births worldwide in 2010, 14.9 million babies were born preterm, representing a preterm birth rate of 11.1% [14]. Over 60% of preterm births occurred in sub-Saharan Africa and South Asia where 9.1 million births (12.8%) annually are estimated to be preterm (Figure 3). The high absolute number of preterm births in Africa and Asia are related, in part, to high fertility and the large number of births in those two regions in comparison to other parts of the world.

Figure 3
figure3

Preterm births by gestational age and region for the year 2010. Based on Millennium Development Goal regions. Source: Reproduced with permission from Blencowe et al. (2012) National, regional and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet 379(9832): 2162-2172.

Full size image

The variation in the rate of preterm birth among regions and countries is substantial and yield a different picture to other conditions in that some high-income countries have very high rates. Rates are highest on average for low-income countries (11.8%), followed by lower middle-income countries (11.3%) and lowest for upper middle- and high-income countries (9.4% and 9.3%). However, relatively high preterm birth rates are seen in many individual high-income countries where they contribute substantially to neonatal mortality and morbidity. Of the 1.2 million preterm births estimated to occur in high-income regions, more than 0.5 million (42%) occur in the United States. The highest rates by Millennium Development Goal Regions [60] are found in Southeastern and South Asia where 13.4% of all live births are estimated to be preterm (Figure 3).

The uncertainty ranges in Figure 3 are indicative of another problem -- the huge data gaps for many regions of the world. Although these data gaps are particularly great for Africa and Asia, there also are gaps in data from high-income countries. While data on preterm birth-associated mortality are lacking in these settings, worldwide there are almost no data currently on acute morbidities or long-term impairment associated with prematurity, thus preventing even the most basic assessments of service needs.

The maps in Figure 4 depict preterm birth rates and the absolute numbers of preterm birth in 2010 by country. Estimated rates vary from around 5 in several Northern European countries to 18.1% in Malawi. The estimated preterm birth rate is less than 10% in 88 countries, whilst 11 countries have estimated rates of 15% or more (Figure 4). The 10 countries with the highest numbers of estimated preterm births are India, China, Nigeria, Pakistan, Indonesia, United States, Bangladesh, the Philippines, Democratic Republic of the Congo and Brazil (Figure 4). These 10 countries account for 60% of all preterm births worldwide.

Figure 4
figure4

Preterm births in 2010. Source: Blencowe, H., et al. (2012) Chapter 2: 15 million preterm births: Priorities for action based on national, regional and global estimates. In Born Too Soon: the Global Action Report on Preterm Birth. http://www.who.int/pmnch/media/news/2012/borntoosoon_chapter2.pdf 2012 [79]. Not applicable = non WHO Members State.

Full size image

Mortality rates increase with decreasing gestational age, and babies who are both preterm and small for gestational age are at even higher risk [61]. Babies born at less than 32 weeks represent about 16% of all preterm births [14]. Across all regions, mortality and morbidity are highest among those babies although improvements in medical care have led to improved survival and long-term outcomes among very and extremely preterm babies in high-income countries [62]. In 1990, around 60% of babies born at less than 28 weeks gestation survived in high-income settings, with approximately two-thirds surviving without impairment [63]. In these high-income countries, almost 95% of those born at 28 to 32 weeks survive, with more than 90% surviving without impairment. In contrast, in many low-income countries, only 30% of those born at 28 to 32 weeks survive, with almost all those born at <28 weeks dying in the first few days of life. In all settings, these very or extremely preterm babies account for the majority of deaths, especially in low-income countries where even simple care is lacking [64].

Preterm births time trends 1990 to 2010

Absolute numbers and rates of preterm birth for 65 countries in Europe, the Americas and Australasia from 1990 to 2010 for these countries suggest an increasing burden of preterm birth [5]. This increase is partly explained by an increase in preterm births occurring at 32 to <37 weeks (late and moderate preterm) reported over the past decades in some countries [65]. Despite a reduction in the number of live births, the estimated number of preterm births in these countries increased from 2.0 million in 1990 to nearly 2.2 million in 2010 [14]. Preterm birth rate trends for low- and middle-income countries suggest an increase in some countries (e.g., China) and some regions (e.g., South Asia) but given changes in the data type and the measurement of gestational age, these remain uncertain.

Priority policy and program actions based on the data

In 2010, approximately 15 million babies were born preterm, and more than 1 million died due to complications in the first month of life, more from indirect effects, and millions have a lifetime of impairment. The burden of preterm birth is highest in low-income countries, particularly those in South Asia. Yet unlike many other global health issues, preterm birth is truly a global problem with a high burden being found in high-income countries as well (e.g. the United States where almost 1 in 8 babies is preterm). However, while the risk of preterm birth is high for both the poorest and the richest countries, there exists a major survival gap in some regions for babies who are preterm. In high-income settings, half of babies born at 24 weeks may survive, but in low-income settings half of babies born at 32 weeks still die due to a lack of basic care [64].

Preterm birth rates appear to be increasing in most of the countries where data are available. Some of this increase may be accounted for by improved registration of the most preterm babies associated with increased viability and by improved gestational assessment, with change to near universal ultrasound for dating pregnancies in these settings. It may, however, represent a true increase. Possible reasons for this include increases in maternal age, access to infertility treatment, multiple pregnancies and underlying health problems in the mother, especially with increasing age of pregnancy and changes in obstetric practices with an increase in provider-initiated preterm births in moderate and late preterm infants who would not have otherwise been born preterm [46]. In the 1980s and 1990s, the increases seen in many high-income countries were attributed to higher multiple gestation and preterm birth rates amongst assisted conceptions after treatment for sub-fertility. Recent changes in policies limiting the number of embryos that can be implanted have led to a reduction in preterm births due to assisted fertility treatments in many countries [63]. However, in many middle-income regions with newer, relatively unregulated assisted fertility services, a similar increase may be seen if policies to counteract this are not introduced and adhered to. A reduction in preterm birth was reported from the 1960s to 1980s in a few countries (e.g. Finland, France, Scotland), and this was attributed, in part, to improved socioeconomic factors and antenatal care. For the majority of countries in low- and middle-income regions, it is not possible to estimate trends in preterm birth over time as there are not sufficient data to provide reliable evidence of a time trend for preterm birth overall. Some countries in some regions (e.g. South and Eastern Asia) have data suggesting possible increases in preterm birth rates over time, but this may represent measurement artifact due to increases in data and data reliability.

Distinguishing spontaneous and provider-initiated preterm birth is of importance to programs aiming to reduce preterm birth. For spontaneous preterm births, the underlying causes need to be understood and addressed while in the case of provider-initiated preterm births both the underlying conditions (e.g. preeclampsia) and obstetric policies and practices require assessment and to be addressed [66, 67].

The proportion of neonatal deaths attributed to preterm births is inversely related to neonatal mortality rates, because in countries with very high neonatal mortality, more deaths occur due to infections such as sepsis, pneumonia, diarrhea and tetanus as well as to intrapartum-related "birth asphyxia" [2]. However, although the proportion of deaths due to preterm birth is lower in low-income countries than in high-income countries, the cause-specific rates are much higher in low- and middle-income than in high-income countries. For example, in Afghanistan and Somalia, the estimated cause-specific rate for neonatal deaths directly due to preterm birth is 16 per 1,000 compared to Japan, Norway and Sweden where it is under 0.5 per 1,000. This is due to the lack of even simple care for premature babies resulting in a major survival gap for babies depending on where they are born [64].

Preterm birth can result in a range of long-term complications in survivors, with the frequency and severity of adverse outcomes rising with decreasing gestational age and decreasing quality of care (Table 1). Most babies born at less than 28 weeks need neonatal intensive care services to survive, and most babies 28 to 32 weeks will need special newborn care at a minimum. The availability and quality of these services are not yet well established in many low- and middle-income countries. Many middle-income countries, currently scaling up neonatal intensive care, are just beginning to experience these long-term consequences in survivors. 43% of the estimated 0.9 million preterm babies surviving with neurodevelopmental impairment are from middle income countries [8]. These effects are most marked amongst survivors born extremely preterm; however, there is increasing evidence that all premature babies regardless of gestational age are at increased risk. The vast majority (84%) of all preterm births occur at 32 to 36 weeks. Most of these infants will survive with adequate supportive care and without needing neonatal intensive care. However, even babies born at 34 to 36 weeks have been shown to have an increased risk of neonatal and infant death when compared with those born at term and contribute importantly to overall infant deaths [68]. Babies born at 34 to 36 weeks also experience increased rates of short-term morbidity associated with prematurity (e.g., respiratory distress and intraventricular hemorrhage) than their peers born at term [69–71]. In the longer term, they have worse neurodevelopmental and school performance outcomes and increased risk of cerebral palsy [72, 73]. On a global level, given their relatively larger numbers, babies born at 34 to 36 weeks are likely to have the greatest public health impact and to be of the most importance in the planning of services (e.g., training community health workers in Kangaroo Mother Care (KMC), essential newborn care and special care of the moderately preterm baby) [64].

We have highlighted the differences in preterm birth rates among countries, but marked disparities are also present within countries. For example, in the United States in 2009, reported preterm birth rates were as high as 17.5% in black Americans, compared to just 10.9% in white Americans, with rates varying from around 11 to 12% in those 20 to 35 years of age to more than 15% in those under age 17 or over 40 [13]. Disparities within countries need to be better understood in order to identify high-risk groups and improve care.

The economic costs of preterm birth are large in terms of the immediate neonatal intensive care and ongoing long-term complex health needs frequently experienced. These costs, in addition, are likely to rise as premature babies increasingly survive at earlier gestational ages in all regions. This survival also will result in the increased need for special education services and associated costs that will place an additional burden on affected families and the communities in which they live [74]. An increased awareness of the long-term consequences of preterm birth (at all gestational ages) is required to fashion policies to support these survivors and their families as part of a more generalised improvement in quality of care for those with disabilities in any given country. In many middle-income countries, preterm birth is an important cause of disability. For example, a third of all children under 10 in schools for the visually impaired in Vietnam and more than 40% of under-5's in similar schools in Mexico have blindness secondary to retinopathy of prematurity [75, 76].

Actions to improve the data

The estimates from the Born Too Soon report represent a major step forward in terms of presenting the first-ever national preterm birth estimates [77]. However, action is required to improve the availability and quality of data from many countries and regions and, where data are being collected and analysed, to improve consistency among countries. These are vital next steps to monitor the progress of policies and programs aimed at reducing the large toll of preterm birth (Table 4). Efforts in every country should be directed to increasing the coverage and systematic recording of all preterm births in a standard reporting format. Standardisation of the definition in terms of both the numerator (the number of preterm births) and the denominator (the number of all births) is essential if trends and rankings are to be truly comparable. Collecting data on both live and stillbirths separately will allow further quantification of the true burden, while data focusing on live births only are required for monitoring of neonatal and longer-term outcomes. These estimates indicate the large burden amongst live-born babies. However, in developed countries with available data, between 5 and 10% of all preterm births are stillbirths, and the figure may be higher in countries with lower levels of medicallyinduced preterm birth. Distinguishing between live births and stillbirths may vary depending on local policies, the availability of intensive care and perceived viability of babies who are extremely preterm. If estimates for live-born preterm babies were linked to estimates for stillbirths, this would improve tracking among countries and over time. Achieving consensus around the different types of preterm birth and comparable case definitions, whilst challenging, are required where resources allow to further understand the complex syndrome of preterm birth [23].

Table 4 Actions to improve national preterm birth rate data
Full size table

In many low- and middle-income countries without wide-scale vital registration, no nationally representative data are available on rates of preterm birth. Substantial investment and attention are required to improve vital registration systems and to account for all birth outcomes [78]. In the meantime, the amount of population-based data available in high-burden countries could be dramatically increased to better inform future estimates and monitor time trends if data on preterm birth rates were able to be included in nationally representative surveys such as the Demographic and Health Surveys (DHS), but this will require developing, testing and training in the use of preterm-specific survey-based tools which are not currently available. The advent of inexpensive portable ultrasound machines makes inclusion of routine early ultrasound scans in demographic surveillance sites or representative cohorts a promising route to increase data availability in these settings in the short term. Innovation for simpler, low-cost, sensitive and specific tools for assessing gestational age could improve both the coverage and quality of gestational age assessment. Data from hospital-based information systems would also be helpful, but potential selection and other biases must be taken into account. Simpler standardized tools to assess acute and long-term morbidities-associated preterm birth also are critically important to inform program quality improvement to reduce the proportion of survivors with preventable impairment.

Conclusion

There are sufficient data to justify action now to reduce this large burden of 15 million preterm births and more than one million neonatal deaths. Innovative solutions to prevent preterm birth and hence reduce preterm birth rates all around the world are urgently needed. This also requires strengthened data systems to adequately track trends in preterm birth rates and program effectiveness. These efforts must be coupled with action now to implement improved antenatal, obstetric and newborn care to increase survival and reduce disability amongst those born too soon. These are reviewed further in the following papers in this supplement.

Funding

HB and SC were funded through a grant from the Bill & Melinda Gates Foundation through the Child Health Epidemiology Reference Group. JL and MK were funded by the Bill & Melinda Gates Foundation though Save the Children's Saving Newborn Lives program.

Abbreviations

pPROM:

prelabour premature rupture of membranes

WHO:

World Health Organization.

References

  1. 1.

    Liu L, Johnson H, Cousens S, Perin J, Scott S, Lawn J, Ruden I, Campbell H, Cibulskis R, Mengying L: Global, regional and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. The Lancet. 2012, 379: 2151-2161. 10.1016/S0140-6736(12)60560-1.

    Article  Google Scholar 

  2. 2.

    Lawn JE, Cousens S, Zupan J: 4 million neonatal deaths: when? Where? Why?. Lancet. 2005, 365: 891-900. 10.1016/S0140-6736(05)71048-5.

    Article  PubMed  Google Scholar 

  3. 3.

    Lawn JE, Kerber K, Enweronu-Laryea C, Cousens S: 3.6 million neonatal deaths - what is progressing and what is not?. Semin Perinatol. 2010, 34: 371-386. 10.1053/j.semperi.2010.09.011.

    Article  PubMed  Google Scholar 

  4. 4.

    Millennium Development Goals Indicators. [http://mdgs.un.org/unsd/mdg/Default.aspx]

  5. 5.

    Howson CP, Kimmey MV, McDougall L, Lawn JE: Born Too Soon: Preterm birth matters. Reprod Health. 2013, 10 (Suppl 1): S1-10.1186/1742-4755-10-S1-S1.

    PubMed Central  Article  PubMed  Google Scholar 

  6. 6.

    Rogers LK, Velten M: Maternal inflammation, growth retardation, and preterm birth: insights into adult cardiovascular disease. Life Sci. 2011, 89: 417-421. 10.1016/j.lfs.2011.07.017.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Preterm Birth: Causes, Consequences, and Prevention. [http://www.iom.edu/Reports/2006/Preterm-Birth-Causes-Consequences-and-Prevention.aspx]

  8. 8.

    Blencowe H, Lee AC, Cousens S, Bahalim A, Narwal R, Zhong N, Chou D, Say L, Modi N, Katz J: Preterm birth associated neurodevelopmental impairment estimates at regional and global level for 2010. Pediatric Research. 2013

    Google Scholar 

  9. 9.

    Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, Ezzati M, Shibuya K, Salomon JA, Abdalla S: Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012, 380: 2197-2223. 10.1016/S0140-6736(12)61689-4.

    Article  PubMed  Google Scholar 

  10. 10.

    Langhoff-Roos J, Kesmodel U, Jacobsson B, Rasmussen S, Vogel I: Spontaneous preterm delivery in primiparous women at low risk in Denmark: population based study. BMJ. 2006, 332: 937-939. 10.1136/bmj.38751.524132.2F.

    PubMed Central  Article  PubMed  Google Scholar 

  11. 11.

    Martin JA, Hamilton BE, Sutton PD, Ventura SJ, Mathews TJ, Kirmeyer S, Osterman MJ: Births: final data for 2007. Natl Vital Stat Rep. 2010, 58: 1-85.

    PubMed  Google Scholar 

  12. 12.

    Thompson JM, Irgens LM, Rasmussen S, Daltveit AK: Secular trends in socioeconomic status and the implications for preterm birth. Paediatr Perinat Epidemiol. 2006, 20: 182-187. 10.1111/j.1365-3016.2006.00711.x.

    Article  PubMed  Google Scholar 

  13. 13.

    Hamilton BE, Ventura P, Osterman M, Kirmeyer S, Mathews MS, Wilson E: Births: Final Data for 2009. National Vital Staistic Reports. 2011, 60:

    Google Scholar 

  14. 14.

    Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller AB, Narwal R, Adler A, Vera Garcia C, Rohde S, Say L, Lawn JE: National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet. 2012, 379: 2162-2172. 10.1016/S0140-6736(12)60820-4.

    Article  PubMed  Google Scholar 

  15. 15.

    WHO: WHO: recommended definitions, terminology and format for statistical tables related to the perinatal period and use of a new certificate for cause of perinatal deaths. Modifications recommended by FIGO as amended October 14, 1976. Acta Obstet Gynecol Scand. 1977, 56: 247-253.

    Google Scholar 

  16. 16.

    Marlow N: Full term; an artificial concept. Arch Dis Child Fetal Neonatal Ed. 2012, 97: F158-10.1136/fetalneonatal-2011-301507.

    Article  PubMed  Google Scholar 

  17. 17.

    Lawn JE, Blencowe H, Pattinson R, Cousens S, Kumar R, Ibiebele I, Gardosi J, Day LT, Stanton C: Stillbirths: Where? When? Why? How to make the data count?. Lancet. 2011, 377: 1448-1463. 10.1016/S0140-6736(10)62187-3.

    Article  PubMed  Google Scholar 

  18. 18.

    Cousens S, Blencowe H, Stanton C, Chou D, Ahmed S, Steinhardt L, Creanga AA, Tuncalp O, Balsara ZP, Gupta S: National, regional, and worldwide estimates of stillbirth rates in 2009 with trends since 1995: a systematic analysis. Lancet. 2011, 377: 1319-1330. 10.1016/S0140-6736(10)62310-0.

    Article  PubMed  Google Scholar 

  19. 19.

    Goldenberg RL, Nelson KG, Dyer RL, Wayne J: The variability of viability: the effect of physicians' perceptions of viability on the survival of very lowbirth weight infants. Am J Obstet Gynecol. 1982, 143: 678-684.

    CAS  PubMed  Google Scholar 

  20. 20.

    Sanders MR, Donohue PK, Oberdorf MA, Rosenkrantz TS, Allen MC: Impact of the perception of viability on resource allocation in the neonatal intensive care unit. J Perinatol. 1998, 18: 347-351.

    CAS  PubMed  Google Scholar 

  21. 21.

    Flenady V, Middleton P, Smith GC, Duke W, Erwich JJ, Khong TY, Neilson J, Ezzati M, Koopmans L, Ellwood D: Stillbirths: the way forward in highincome countries. Lancet. 2011, 377: 1703-1717. 10.1016/S0140-6736(11)60064-0.

    Article  PubMed  Google Scholar 

  22. 22.

    Kramer MS, Papageorghiou A, Culhane J, Bhutta Z, Goldenberg RL, Gravett M, Iams JD, Conde-Agudelo A, Waller S, Barros F: Challenges in defining and classifying the preterm birth syndrome. Am J Obstet Gynecol. 2012, 206: 108-112. 10.1016/j.ajog.2011.10.864.

    Article  PubMed  Google Scholar 

  23. 23.

    Goldenberg RL, Gravett MG, Iams J, Papageorghiou AT, Waller SA, Kramer M, Culhane J, Barros F, Conde-Agudelo A, Bhutta ZA: The preterm birth syndrome: issues to consider in creating a classification system. Am J Obstet Gynecol. 2012, 206: 113-118. 10.1016/j.ajog.2011.10.865.

    Article  PubMed  Google Scholar 

  24. 24.

    Steer P: The epidemiology of preterm labour. BJOG. 2005, 112 (Suppl 1): 1-3.

    PubMed  Google Scholar 

  25. 25.

    Menon R: Spontaneous preterm birth, a clinical dilemma: etiologic, pathophysiologic and genetic heterogeneities and racial disparity. Acta Obstet Gynecol Scand. 2008, 87: 590-600. 10.1080/00016340802005126.

    Article  PubMed  Google Scholar 

  26. 26.

    Plunkett J, Muglia LJ: Genetic contributions to preterm birth: implications from epidemiological and genetic association studies. Ann Med. 2008, 40: 167-195. 10.1080/07853890701806181.

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Goldenberg RL, Culhane JF, Iams JD, Romero R: Epidemiology and causes of preterm birth. Lancet. 2008, 371: 75-84. 10.1016/S0140-6736(08)60074-4.

    Article  PubMed  Google Scholar 

  28. 28.

    Muglia LJ, Katz M: The enigma of spontaneous preterm birth. N Engl J Med. 2010, 362: 529-535. 10.1056/NEJMra0904308.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Blondel B, Macfarlane A, Gissler M, Breart G, Zeitlin J: Preterm birth and multiple pregnancy in European countries participating in the PERISTAT project. BJOG. 2006, 113: 528-535. 10.1111/j.1471-0528.2006.00923.x.

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Felberbaum RE: Multiple pregnancies after assisted reproduction - international comparison. Reprod Biomed Online. 2007, 53-60. 15 Suppl 3

  31. 31.

    Blondel B, Kaminski M: Trends in the occurrence, determinants, and consequences of multiple births. Semin Perinatol. 2002, 26: 239-249. 10.1053/sper.2002.34775.

    Article  PubMed  Google Scholar 

  32. 32.

    Kaprio J MR: Demographic trends in Nordic countries. Multiple Pregnancy: Epidemiology, Gestation & Perinatal Conditions 2nd edn. Edited by: Blickstein I KL. 2005, London: Taylor & Francis, 22-25. 2

    Google Scholar 

  33. 33.

    Lim JW: The changing trends in live birth statistics in Korea, 1970 to 2010. Korean J Pediatr. 2011, 54: 429-435. 10.3345/kjp.2011.54.11.429.

    PubMed Central  Article  PubMed  Google Scholar 

  34. 34.

    Hamilton BE, Sutton PD, Ventura SJ, Mathews TJ, Osterman MJ: Births: final data for 2008. Natl Vital Stat Rep. 2010, 59: 1, 3-71.

    Google Scholar 

  35. 35.

    Gravett MG, Rubens CE, Nunes TM: Global report on preterm birth and stillbirth (2 of 7): discovery science. BMC Pregnancy Childbirth. 2010, S2-10 Suppl 1

  36. 36.

    Lee SE, Romero R, Park CW, Jun JK, Yoon BH: The frequency and significance of intraamniotic inflammation in patients with cervical insuffi ciency. Am J Obstet Gynecol. 2008, 198: 633 e631-638.

    Google Scholar 

  37. 37.

    Zeitlin J, Saurel-Cubizolles MJ, De Mouzon J, Rivera L, Ancel PY, Blondel B, Kaminski M: Fetal sex and preterm birth: are males at greater risk?. Hum Reprod. 2002, 17: 2762-2768. 10.1093/humrep/17.10.2762.

    Article  PubMed  Google Scholar 

  38. 38.

    Kent AL, Wright IM, Abdel-Latif ME: Mortality and adverse neurologic outcomes are greater in preterm male infants. Pediatrics. 2012, 129: 124-131. 10.1542/peds.2011-1578.

    Article  PubMed  Google Scholar 

  39. 39.

    Ananth CV, Vintzileos AM: Epidemiology of preterm birth and its clinical subtypes. J Matern Fetal Neonatal Med. 2006, 19: 773-782. 10.1080/14767050600965882.

    Article  PubMed  Google Scholar 

  40. 40.

    Patel RR, Steer P, Doyle P, Little MP, Elliott P: Does gestation vary by ethnic group? A London-based study of over 122,000 pregnancies with spontaneous onset of labour. Int J Epidemiol. 2004, 33: 107-113. 10.1093/ije/dyg238.

    Article  PubMed  Google Scholar 

  41. 41.

    Farrell PM, Wood RE: Epidemiology of hyaline membrane disease in the United States: analysis of national mortality statistics. Pediatrics. 1976, 58: 167-176.

    CAS  PubMed  Google Scholar 

  42. 42.

    Alexander GR, Kogan M, Bader D, Carlo W, Allen M, Mor J: US birth weight/ gestational age-specific neonatal mortality: 1995-1997 rates for whites, hispanics, and blacks. Pediatrics. 2003, 111: e61-66. 10.1542/peds.111.1.e61.

    PubMed Central  Article  PubMed  Google Scholar 

  43. 43.

    Gyamfi-Bannerman C, Fuchs KM, Young OM, Hoff man MK: Nonspontaneous late preterm birth: etiology and outcomes. Am J Obstet Gynecol. 2011, 205: 456 e451-456.

    Google Scholar 

  44. 44.

    Mukhopadhaya N, Arulkumaran S: Reproductive outcomes after in-vitro fertilization. Curr Opin Obstet Gynecol. 2007, 19: 113-119. 10.1097/GCO.0b013e32807fb199.

    Article  PubMed  Google Scholar 

  45. 45.

    Kalra SK, Molinaro TA: The association of in vitro fertilization and perinatal morbidity. Semin Reprod Med. 2008, 26: 423-435. 10.1055/s-0028-1087108.

    Article  PubMed  Google Scholar 

  46. 46.

    Joseph KS, Demissie K, Kramer MS: Obstetric intervention, stillbirth, and preterm birth. Semin Perinatol. 2002, 26: 250-259. 10.1053/sper.2002.34769.

    CAS  Article  PubMed  Google Scholar 

  47. 47.

    Joseph KS, Kramer MS, Marcoux S, Ohlsson A, Wen SW, Allen A, Platt R: Determinants of preterm birth rates in Canada from 1981 through 1983 and from 1992 through 1994. N Engl J Med. 1998, 339: 1434-1439. 10.1056/NEJM199811123392004.

    CAS  Article  PubMed  Google Scholar 

  48. 48.

    Barros FC, Velez Mdel P: Temporal trends of preterm birth subtypes and neonatal outcomes. Obstet Gynecol. 2006, 107: 1035-1041. 10.1097/01.AOG.0000215984.36989.5e.

    Article  PubMed  Google Scholar 

  49. 49.

    Alhaj AM, Radi EA, Adam I: Epidemiology of preterm birth in Omdurman Maternity hospital, Sudan. J Matern Fetal Neonatal Med. 2010, 23: 131-134. 10.3109/14767050903067345.

    Article  PubMed  Google Scholar 

  50. 50.

    Ip M, Peyman E, Lohsoonthorn V, Williams MA: A case-control study of preterm delivery risk factors according to clinical subtypes and severity. J Obstet Gynaecol Res. 2010, 36: 34-44. 10.1111/j.1447-0756.2009.01087.x.

    PubMed Central  Article  PubMed  Google Scholar 

  51. 51.

    Nkyekyer K, Enweronu-Laryea C, Boafor T: Singleton preterm births in korle bu teaching hospital, accra, ghana-origins and outcomes. Ghana Med J. 2006, 40: 93-98.

    PubMed Central  CAS  PubMed  Google Scholar 

  52. 52.

    Klebanoff MA, Shiono PH: Top down, bottom up and inside out: reflections on preterm birth. Paediatr Perinat Epidemiol. 1995, 9: 125-129. 10.1111/j.1365-3016.1995.tb00126.x.

    CAS  Article  PubMed  Google Scholar 

  53. 53.

    Kramer MS, McLean FH, Boyd ME, Usher RH: The validity of gestational age estimation by menstrual dating in term, preterm, and postterm gestations. JAMA. 1988, 260: 3306-3308. 10.1001/jama.1988.03410220090034.

    CAS  Article  PubMed  Google Scholar 

  54. 54.

    ICD-10: international statistical classificiation of diseases and related health problems: tenth revision. 2nd ed. [http://www.who.int/classifications/icd/ICD-10_2nd_ed_volume2.pdf]

  55. 55.

    Froen JF, Gordijn SJ, Abdel-Aleem H, Bergsjo P, Betran A, Duke CW, Fauveau V, Flenady V, Hinderaker SG, Hofmeyr GJ: Making stillbirths count, making numbers talk-issues in data collection for stillbirths. BMC Pregnancy Childbirth. 2009, 9: 58-10.1186/1471-2393-9-58.

    PubMed Central  Article  PubMed  Google Scholar 

  56. 56.

    Annual Reports for the years 1991 and 1999. Melbourne:Consultative Council on Obstetrics and Paediatric Mortality and Morbidity, 1992 and 2001.

  57. 57.

    MRC PPIP Users, the Saving Babies Technical Task Team: Saving Babies 2008-2009. 2010, Seventh report on perinatal care in South Africa

    Google Scholar 

  58. 58.

    Miljeteig I, Johansson KA, Sayeed SA, Norheim OF: End-of-life decisions as bedside rationing. An ethical analysis of life support restrictions in an Indian neonatal unit. J Med Ethics. 2010, 36: 473-478. 10.1136/jme.2010.035535.

    CAS  Article  PubMed  Google Scholar 

  59. 59.

    Lumley J: Defining the problem: the epidemiology of preterm birth. BJOG. 2003, 110 (Suppl 20): 3-7.

    Article  PubMed  Google Scholar 

  60. 60.

    Millennium, Development Goals Indicators. 2012, Accessed 3rd January, [http://mdgs.un.org/unsd/mdg/Default.aspx]

  61. 61.

    Katz J, Lee AC, Kozuki N, Lawn JE, Cousens S, Blencowe H, Ezzati M, Bhutta ZA, Marchant T, Willey BA: Mortality risk in preterm and small-for-gestational-age infants in low-income and middle-income countries: a pooled country analysis. Lancet. 2013

    Google Scholar 

  62. 62.

    Saigal S, Doyle LW: An overview of mortality and sequelae of preterm birth from infancy to adulthood. Lancet. 2008, 371: 261-269. 10.1016/S0140-6736(08)60136-1.

    Article  PubMed  Google Scholar 

  63. 63.

    Mohangoo AD, Buitendijk SE, Szamotulska K, Chalmers J, Irgens LM, Bolumar F, Nijhuis JG, Zeitlin J: Gestational age patterns of fetal and neonatal mortality in europe: results from the Euro-Peristat project. PLoS One. 2011, 6: e24727-10.1371/journal.pone.0024727.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  64. 64.

    Lawn JE, Davidge R, Paul VK, von Xylander S, de Graft Johnson J, Costello A, Kinney MV, Segre J, Molyneux L: Born Too Soon: Care for the preterm baby. Reprod Health. 2013, 10 (Suppl 1): S5-10.1186/1742-4755-10-S1-S5.

    PubMed Central  Article  PubMed  Google Scholar 

  65. 65.

    Davidoff MJ, Dias T, Damus K, Russell R, Bettegowda VR, Dolan S, Schwarz RH, Green NS, Petrini J: Changes in the gestational age distribution among U.S. singleton births: impact on rates of late preterm birth, 1992 to 2002. Semin Perinatol. 2006, 30: 8-15. 10.1053/j.semperi.2006.01.009.

    Article  PubMed  Google Scholar 

  66. 66.

    Dean SV, Mason EM, Howson CP, Lassi ZS, Imam AM, Bhutta ZA: Born Too Soon: Care before and between pregnancy to prevent preterm births: from evidence to action. Reprod Health. 2013, 10 (Suppl 1): S3-10.1186/1742-4755-10-S1-S3.

    PubMed Central  Article  PubMed  Google Scholar 

  67. 67.

    Requejo J, Althabe F, Merialdi M, Keller K, Katz J, Menon R: Born Too Soon: Care during pregnancy and childbirth to reduce preterm deliveries and improve health outcomes of the preterm baby. Reprod Health. 2013, 10 (Suppl 1): S4-10.1186/1742-4755-10-S1-S4.

    PubMed Central  Article  PubMed  Google Scholar 

  68. 68.

    Kramer MS, Demissie K, Yang H, Platt RW, Sauve R, Liston R: The contribution of mild and moderate preterm birth to infant mortality. Fetal and Infant Health Study Group of the Canadian Perinatal Surveillance System. JAMA. 2000, 284: 843-849. 10.1001/jama.284.7.843.

    CAS  Article  PubMed  Google Scholar 

  69. 69.

    Femitha P, Bhat BV: Early Neonatal Outcome in Late Preterms. Indian J Pediatr. 2011

    Google Scholar 

  70. 70.

    Escobar GJ, Clark RH, Greene JD: Short-term outcomes of infants born at 35 and 36 weeks gestation: we need to ask more questions. Semin Perinatol. 2006, 30: 28-33. 10.1053/j.semperi.2006.01.005.

    Article  PubMed  Google Scholar 

  71. 71.

    Teune MJ, Bakhuizen S, Gyamfi Bannerman C, Opmeer BC, van Kaam AH, van Wassenaer AG, Morris JM, Mol BW: A systematic review of severe morbidity in infants born late preterm. Am J Obstet Gynecol. 2011, 205: 374 e371-379.

    Article  Google Scholar 

  72. 72.

    Quigley MA, Poulsen G, Boyle E, Wolke D, Field D, Alfi revic Z, Kurinczuk JJ: Early term and late preterm birth are associated with poorer school performance at age 5 years: a cohort study. Arch Dis Child Fetal Neonatal Ed. 2012

    Google Scholar 

  73. 73.

    Woythaler MA, McCormick MC, Smith VC: Late preterm infants have worse 24-month neurodevelopmental outcomes than term infants. Pediatrics. 2011, 127: e622-629. 10.1542/peds.2009-3598.

    Article  PubMed  Google Scholar 

  74. 74.

    Petrou S, Eddama O, Mangham L: A structured review of the recent literature on the economic consequences of preterm birth. Arch Dis Child Fetal Neonatal Ed. 2011, 96: F225-232. 10.1136/adc.2009.161117.

    Article  PubMed  Google Scholar 

  75. 75.

    Limburg H, Gilbert C, Hon do N, Dung NC, Hoang TH: Prevalence and causes of blindness in children in Vietnam. Ophthalmology. 2012, 119: 355-361. 10.1016/j.ophtha.2011.07.037.

    Article  PubMed  Google Scholar 

  76. 76.

    Zepeda-Romero LC, Barrera-de-Leon JC, Camacho-Choza C, Gonzalez Bernal C, Camarena-Garcia E, Diaz-Alatorre C, Gutierrez-Padilla JA, Gilbert C: Retinopathy of prematurity as a major cause of severe visual impairment and blindness in children in schools for the blind in Guadalajara city, Mexico. Br J Ophthalmol. 2011, 95: 1502-1505. 10.1136/bjophthalmol-2011-300015.

    CAS  Article  PubMed  Google Scholar 

  77. 77.

    Born Too Soon: The Global Action Report on Preterm Birth. Edited by: Howson CP, Kinney MV, Lawn JE. 2012, March of Dimes, PMNCH, Save the Children, World Health Organization. New York, [http://www.who.int/pmnch/media/news/2012/preterm_birth_report/en/index1.html]

    Google Scholar 

  78. 78.

    Keeping promises, measuring results: Commission on Information and Accountability for Women's and Children's Health.

  79. 79.

    Blencowe H, Cousens S, Chou D, Oestergaard MZ, Say L, Moller A, Kinney M, Lawn J: Chapter 2: 15 million preterm births: Priorities for action based on national, regional and global estimates. Born Too Soon: the Global Action Report on Preterm Birth. Edited by: Howson CP KM, Lawn JE. 2012, New York 2012: March of Dimes, PMNCH, Save the Children, World Health Organization, New York, [http://www.who.int/pmnch/media/news/2012/borntoosoon_chapter2.pdf]

    Google Scholar 

  80. 80.

    O'Connor AR, Wilson CM, Fielder AR: Ophthalmological problems associated with preterm birth. Eye (Lond). 2007, 21: 1254-1260. 10.1038/sj.eye.6702838.

    Article  Google Scholar 

  81. 81.

    Marlow N, Wolke D, Bracewell MA, Samara M: Neurologic and developmental disability at six years of age after extremely preterm birth. N Engl J Med. 2005, 352: 9-19. 10.1056/NEJMoa041367.

    CAS  Article  PubMed  Google Scholar 

  82. 82.

    Doyle LW, Ford G, Davis N: Health and hospitalistions after discharge in extremely low birth weight infants. Semin Neonatol. 2003, 8: 137-145. 10.1016/S1084-2756(02)00221-X.

    Article  PubMed  Google Scholar 

  83. 83.

    Greenough A: Long term respiratory outcomes of very premature birth (<32 weeks). Semin Fetal Neonatal Med. 2012, 17: 73-76. 10.1016/j.siny.2012.01.009.

    Article  PubMed  Google Scholar 

  84. 84.

    Mwaniki MK, Atieno M, Lawn JE, Newton CR: Long-term neurodevelopmental outcomes after intrauterine and neonatal insults: a systematic review. Lancet. 2012, 379: 445-452. 10.1016/S0140-6736(11)61577-8.

    PubMed Central  Article  PubMed  Google Scholar 

  85. 85.

    Hagberg B, Hagberg G, Beckung E, Uvebrant P: Changing panorama of cerebral palsy in Sweden. VIII. Prevalence and origin in the birth year period 1991-94. Acta Paediatr. 2001, 90: 271-277.

    CAS  Article  PubMed  Google Scholar 

  86. 86.

    Singer LT, Salvator A, Guo S, Collin M, Lilien L, Baley J: Maternal psychological distress and parenting stress after the birth of a very low-birth-weight infant. JAMA. 1999, 281: 799-805. 10.1001/jama.281.9.799.

    CAS  Article  PubMed  Google Scholar 

Download references

Acknowledgements

The Born Too Soon report was funded by March of Dimes, the Partnership for Maternal, Newborn and Child Health and Save the Children. We would like to thank the Born Too Soon Preterm Birth Action Group, including the Preterm Birth Technical Review Panel and all the report authors (in alphabetical order): José Belizán (chair), Hannah Blencowe, Zulfiqar Bhutta, Sohni Dean, Andres de Francisco, Christopher Howson, Mary Kinney, Mark Klebanoff, Joy Lawn, Silke Mader, Elizabeth Mason (chair), Jeffrey Murray, Pius Okong, Carmencita Padilla, Robert Pattinson, Jennifer Requejo, Craig Rubens, Andrew Serazin, Catherine Spong, Antoinette Tshefu, Rexford Widmer, Khalid Yunis, Nanbert Zhong.

The authors appreciated review and inputs from Mark Klebanoff and Khalid Yunis. Thank you to Megan Bruno for her administrative support. We would also like to thank the Bill & Melinda Gates Foundation for funding the time for Boston Consulting Group.

This article has been published as part of Reproductive Health Volume 10 Supplement 1, 2013: Born too soon. The full contents of the supplement are available online at http://www.reproductive-health-journal.com/supplements/10/S1.

Author information

Affiliations

  1. MARCH, London School of Hygiene and Tropical Medicine, London, UK

    Hannah Blencowe, Simon Cousens & Joy Lawn

  2. World Health Organization, Geneva, Switzerland

    Doris Chou, Mikkel Oestergaard, Lale Say & Ann-Beth Moller

  3. Saving Newborn Lives, Save the Children, Cape Town, South Africa

    Mary Kinney

Authors
  1. Hannah Blencowe
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Simon Cousens
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Doris Chou
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mikkel Oestergaard
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Lale Say
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ann-Beth Moller
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Mary Kinney
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Joy Lawn
    View author publications

    You can also search for this author in PubMed Google Scholar

Consortia

the Born Too Soon Preterm Birth Action Group (see acknowledgement for full list)

Corresponding author

Correspondence to Joy Lawn.

Additional information

Competing interests

The author's declare that they have no conflict of interest. The authors alone are responsible for the views expressed in this article and they do not necessarily represent the views, decisions or policies of the institutions with which they are affiliated.

Authors' contribution

HB, MK and JL drafted the paper with SC, DC, MZO, LS, ABM. All authors reviewed the final manuscript.

Electronic supplementary material

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Blencowe, H., Cousens, S., Chou, D. et al. Born Too Soon: The global epidemiology of 15 million preterm births. Reprod Health 10, S2 (2013). https://doi.org/10.1186/1742-4755-10-S1-S2

Download citation

Keywords

  • Preterm birth
  • epidemiology
  • neonatal mortality

Reproductive Health

ISSN: 1742-4755