Preterm Birth: Screening and Prediction
- PMID: 38146587
- PMCID: PMC10749552
- DOI: 10.2147/IJWH.S436624
Preterm Birth: Screening and Prediction
Abstract
Preterm birth (PTB) affects approximately 10% of births globally each year and is the most significant direct cause of neonatal death and of long-term disability worldwide. Early identification of women at high risk of PTB is important, given the availability of evidence-based, effective screening modalities, which facilitate decision-making on preventative strategies, particularly transvaginal sonographic cervical length (CL) measurement. There is growing evidence that combining CL with quantitative fetal fibronectin (qfFN) and maternal risk factors in the extensively peer-reviewed and validated QUanititative Innovation in Predicting Preterm birth (QUiPP) application can aid both the triage of patients who present as emergencies with symptoms of preterm labor and high-risk asymptomatic women attending PTB surveillance clinics. The QUiPP app risk of delivery thus supports shared decision-making with patients on the need for increased outpatient surveillance, in-patient treatment for preterm labor or simply reassurance for those unlikely to deliver preterm. Effective triage of patients at preterm gestations is an obstetric clinical priority as correctly timed administration of antenatal corticosteroids will maximise their neonatal benefits. This review explores the predictive capacity of existing predictive tests for PTB in both singleton and multiple pregnancies, including the QUiPP app v.2. and discusses promising new research areas, which aim to predict PTB through cervical stiffness and elastography measurements, metabolomics, extracellular vesicles and artificial intelligence.
Keywords: QUiPP; cervical length; fibronectin; preterm labor; screening.
© 2023 Creswell et al.
Conflict of interest statement
The authors report no conflicts of interest in this work.
Figures


Similar articles
-
Evaluating the use of the QUiPP app and its impact on the management of threatened preterm labour: A cluster randomised trial.PLoS Med. 2021 Jul 6;18(7):e1003689. doi: 10.1371/journal.pmed.1003689. eCollection 2021 Jul. PLoS Med. 2021. PMID: 34228735 Free PMC article. Clinical Trial.
-
Development and validation of predictive models for QUiPP App v.2: tool for predicting preterm birth in asymptomatic high-risk women.Ultrasound Obstet Gynecol. 2020 Mar;55(3):348-356. doi: 10.1002/uog.20401. Ultrasound Obstet Gynecol. 2020. PMID: 31325332
-
EQUIPTT: The Evaluation of the QUiPP app for Triage and Transfer protocol for a cluster randomised trial to evaluate the impact of the QUiPP app on inappropriate management for threatened preterm labour.BMC Pregnancy Childbirth. 2019 Feb 13;19(1):68. doi: 10.1186/s12884-019-2210-1. BMC Pregnancy Childbirth. 2019. PMID: 30760248 Free PMC article.
-
Interventions during pregnancy to prevent preterm birth: an overview of Cochrane systematic reviews.Cochrane Database Syst Rev. 2018 Nov 14;11(11):CD012505. doi: 10.1002/14651858.CD012505.pub2. Cochrane Database Syst Rev. 2018. PMID: 30480756 Free PMC article.
-
Three biomarker tests to help diagnose preterm labour: a systematic review and economic evaluation.Health Technol Assess. 2019 Mar;23(13):1-226. doi: 10.3310/hta23130. Health Technol Assess. 2019. PMID: 30917097 Free PMC article.
Cited by
-
A Multi-Algorithm Machine Learning Model for Predicting the Risk of Preterm Birth in Patients with Early-Onset Preeclampsia.Int J Gen Med. 2025 Aug 4;18:4195-4207. doi: 10.2147/IJGM.S521763. eCollection 2025. Int J Gen Med. 2025. PMID: 40786956 Free PMC article.
-
Machine learning for the prediction of spontaneous preterm birth using early second and third trimester maternal blood gene expression: A cautionary tale.PLoS One. 2025 Jun 27;20(6):e0310937. doi: 10.1371/journal.pone.0310937. eCollection 2025. PLoS One. 2025. PMID: 40577367 Free PMC article.
-
Expression and Biological Activity Analysis of Recombinant Fibronectin3 Protein in Bacillus subtilis.BioTech (Basel). 2025 Jun 23;14(3):51. doi: 10.3390/biotech14030051. BioTech (Basel). 2025. PMID: 40700133 Free PMC article.
-
Global and population-specific association of MTHFR polymorphisms with preterm birth risk: a consolidated analysis of 44 studies.BMC Pregnancy Childbirth. 2025 Mar 1;25(1):230. doi: 10.1186/s12884-025-07378-6. BMC Pregnancy Childbirth. 2025. PMID: 40025425 Free PMC article.
References
-
- Howson CP, Kinney MV, Lawn JE. March of dimes, PMNCH, save the children, WHO. In: Born Too Soon: The Global Action Report on Preterm Birth. Geneva: World Health Organization; 2012. Available from: https://iris.who.int/bitstream/handle/10665/44864/9789241503433_eng.pdf?.... Accessed November 28, 2023.
Publication types
LinkOut - more resources
Full Text Sources