Preterm birth (PTB) is a leading cause of childhood disability, and it has become a key public health priority recognized by the World Health Organization and the United Nations. Studies have summarised the use of precision based medicine in the management of spontaneous PTB. In particular, the advent of novel approaches for the use of biomarkers in prediction, diagnostics, and the emerging use of artificial intelligence and computational modelling in this important field of research.
1. Introduction
Preterm birth (PTB), defined as neonates born before the 37th week of gestation, is a leading cause of death and disability in children under five years worldwide. Globally, there are 15 million PTBs per year
[1]. As such, PTB is a key public health priority that is recognized and closely monitored by the World Health Organization (WHO). In the UK, 52,000 babies a year are born preterm, of which 8000 are born before 32 weeks
[2]. These babies are disproportionately affected by significant long-term morbidity when compared to births at later gestations. For women identified as high-risk in early pregnancy, prevention strategies can be initiated to modify their risk. However, in more than 50% of women who deliver preterm, there are no identifiable risk factors to target
[3]. Worse still, when these women present to hospital with early signs of preterm labor (PTL), there is no effective treatment to delay their progression to birth. Furthermore, over the last decade, there has been no measurable improvement in PTB rates despite changes in national and international guidance and improvements in the education of healthcare professionals
[4]. Therefore, clinical care is aimed at preparing the neonate for PTB using interventions such as maternal steroids for fetal lung maturity and magnesium sulphate to reduce the risk of cerebral palsy
[5]. In the United Kingdom (UK), the Government’s ‘Safer Maternity Care’ action plan set a target of reducing the PTB rate from 8% to 6% by 2025 and included subsequent tributary initiatives such as the ‘Saving Babies Lives Bundle 2′, PERIprem (Perinatal Excellence to Reduce Injury in Premature Birth) initiative and ‘Better Births’ vision to equip healthcare professionals with the tools they need to predict, suspect, diagnose and delay PTB as quickly as possible
[6]. However, the PTB rate remains at 8% in the UK, and one of the key recommendations from the ‘Safer Maternity Care’ Progress report was the enabling of innovation in local clinical practice
[7]. However, it has been recognized by stakeholders that PTL is a complex problem with several different etiologies, meaning that for any approach to the management of PTL to be effective, the first step must be to identify the cause in each individual woman
[8]. Personalized medicine, often referred to as precision-based medicine, has been developing in many areas of medicine, most recently in the fields and research related to respiratory disease, hematology and cancer care. Contrary to the population approach, it offers an individualized targeted approach that could be ideal in the context of the early identification and delay of PTB
[9].
2. Preterm Birth
PTB is divided into the following sub-categories: extremely preterm (less than 28 weeks), very preterm (28 to 32 weeks) and moderate to late preterm (32 to 37 weeks). The majority of PTBs are moderate to late, which account for 85%, and the remainder are split between extreme and very preterm, with rates of 4% and 11%, respectively
[1]. The morbidity and mortality associated with PTB are considerable. Moreover, the earlier the delivery, the higher the risk of disability or death
[10]. Neonatal complications of PTB include chronic lung disease, developmental delay, growth reduction, hearing impairment, intraventricular hemorrhage, necrotizing enterocolitis, nosocomial infections, patent ductus arteriosus, periventricular leukomalacia, respiratory distress syndrome, retinopathy of prematurity and pulmonary barotrauma
[11].
2.1. Risk Factors and Pathophysiology of Preterm Birth
There are several risk factors for PTB that can be identified preconception and in early pregnancy (Table 1). These can be divided into modifiable (such as smoking) and non-modifiable risk factors (such as previous cervical surgery or PTB) to direct preventative interventions or methods of surveillance.
Table 1. Table to show the recognized risk factors for preterm birth, categorized as past medical history, lifestyle, pregnancy complications and other. (Royal College of Obstetricians and Gynecologists).
Past Medical History |
Pregnancy Complications |
Previous preterm birth Short cervix < 25 mm Early cervical dilatation Past procedures on the cervix (LLETZ) Injury during a past delivery |
Carrying more than one fetus Vaginal bleeding during pregnancy Infections during pregnancy |
Lifestyle |
Other |
Low pre-pregnancy weight Smoking during pregnancy Dietary deficiencies Injury during a past delivery |
Younger than 17 or older than 35 years |