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Cited by 53Preterm Birth and ChorioamnionitisMaternal Mental Health During Pregnancy and PostpartumInfant Development and Preterm Care

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Can stress biomarkers predict preterm birth in women with threatened preterm labor?

García-Blanco, Ana, Diago, Vicente, Serrano De La Cruz, Verónica, Hervás, David, Cháfer-Pericás, Consuelo, Vento, Máximo·2017·Psychoneuroendocrinology
DOI 10.1016/j.psyneuen.2017.05.021
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Abstract

Background Preterm birth is a major paediatric challenge difficult to prevent and with major adverse outcomes. Prenatal stress plays an important role on preterm birth; however, there are few stress-related models to predict preterm birth in women with Threatened Preterm Labor (TPL). Objective The aim of this work is to study the influence of stress biomarkers on time until birth in TPL women. Methods Eligible participants were pregnant women between 24 and 31 gestational weeks admitted to the hospital with TPL diagnosis (n=166). Stress-related biomarkers (α-amylase and cortisol) were determined in saliva samples after TPL diagnosis. Participants were followed-up until labor. A parametric survival model was constructed based on α-amylase, cortisol), TPL gestational week, age, parity, and multiple pregnancy. The model was adjusted using a logistic distribution and it was implemented as a nomogram to predict the labor probability at 7- and 14-day term. Results The time until labor was associated with cortisol (p=0.001), gestational week at TPL diagnosis (p=0.004), and age (p=0.02). Importantly, high cortisol levels at TPL diagnosis were predictive of latency to labor. Validation of the model yielded an optimum corrected AUC value of 0.63. Conclusions High cortisol levels at TPL diagnosis may have an important role in the preterm birth prediction. Our statistical model implemented as a nomogram provided accurate predictions of individual prognosis of pregnant women.

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Metadata

Authors
García-Blanco, A., Diago, V., Serrano De La Cruz, V., Hervás, D., Cháfer-Pericás, C., & Vento, M.
Affiliations
  • Hospital Universitari i Politècnic La Fe (ES)
  • Instituto de Investigación Sanitaria La Fe (ES)
ORCID
Venue
Psychoneuroendocrinology
Publisher
Elsevier BV
Published
2017-09
Volume
83
Pages
19-24
ISSN
0306-4530 (ISSN-L)
DOI
10.1016/j.psyneuen.2017.05.021
OpenAlex
W2619446771
Cited by
53
References
1
Citations by year
2026: 3 · 2025: 2 · 2024: 2 · 2023: 9 · 2022: 6 · 2021: 9 · 2020: 5 · 2019: 11 · 2018: 3 · 2017: 3
FWCI
4.74
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Psychoneuroendocrinology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Instituto Carlos III (Spanish Ministry of Economy and Competitiveness) (CM14/00012, CP16/00082)
  • RETICS
Topics
  • Health Sciences › Medicine › Obstetrics and Gynecology › Preterm Birth and Chorioamnionitis
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Infant Development and Preterm Care
Keywords
preterm birth prediction, threatened preterm labor, prenatal stress, cortisol, salivary amylase, stress biomarkers, nomogram, survival models
MeSH terms
Adult, alpha-Amylases, Female, Gestational Age, Humans, Hydrocortisone, Infant, Newborn, Obstetric Labor, Premature, Parity, Pregnancy, Prospective Studies, Risk Factors, Saliva, Stress, Psychological, Biomarkers, Causality, Case-Control Studies, Premature Birth

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García-Blanco, A., Diago, V., Serrano De La Cruz, V., Hervás, D., Cháfer-Pericás, C., & Vento, M. (2017). Can stress biomarkers predict preterm birth in women with threatened preterm labor? Psychoneuroendocrinology. https://doi.org/10.1016/j.psyneuen.2017.05.021