Second trimester serum cortisol and preterm birth: an analysis by timing and subtype

Gretchen Bandoli; Laura L Jelliffe-Pawlowski; Sky K Feuer; Liang Liang; Scott P Oltman; Randi Paynter; Kharah M Ross; Christine Dunkel Schetter; Kelli K Ryckman; Christina D Chambers

doi:10.1038/s41372-018-0128-5

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Second trimester serum cortisol and preterm birth: an analysis by timing and subtype

Journal article

Peer reviewed

Second trimester serum cortisol and preterm birth: an analysis by timing and subtype

Gretchen Bandoli, Laura L Jelliffe-Pawlowski, Sky K Feuer, Liang Liang, Scott P Oltman, Randi Paynter, Kharah M Ross, Christine Dunkel Schetter, Kelli K Ryckman and Christina D Chambers

Journal of perinatology, Vol.38(8), pp.973-981

08/2018

DOI: 10.1038/s41372-018-0128-5

PMCID: PMC6092235

PMID: 29795321

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Abstract

We hypothesized second trimester serum cortisol would be higher in spontaneous preterm births compared to provider-initiated (previously termed 'medically indicated') preterm births. We used a nested case-control design with a sample of 993 women with live births. Cortisol was measured from serum samples collected as part of routine prenatal screening. We tested whether mean-adjusted cortisol fold-change differed by gestational age at delivery or preterm birth subtype using multivariable linear regression. An inverse association between cortisol and gestational age category (trend p = 0.09) was observed. Among deliveries prior to 37 weeks, the mean-adjusted cortisol fold-change values were highest for preterm premature rupture of the membranes (1.10), followed by premature labor (1.03) and provider-initiated preterm birth (1.01), although they did not differ statistically. Cortisol continues to be of interest as a marker of future preterm birth. Augmentation with additional biomarkers should be explored.

Details

Title: Subtitle: Second trimester serum cortisol and preterm birth: an analysis by timing and subtype
Creators: Gretchen Bandoli - Department of Pediatrics, University of California San Diego, San Diego, CA, USA. gbandoli@ucsd.edu
Laura L Jelliffe-Pawlowski - Department of Epidemiology & Biostatistics, University of California San Francisco School of Medicine, San Francisco, CA, USA
Sky K Feuer - Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco School of Medicine, San Francisco, CA, USA
Liang Liang - Department of Genetics, Stanford University, Palo Alto, CA, USA
Scott P Oltman - Department of Epidemiology & Biostatistics, University of California San Francisco School of Medicine, San Francisco, CA, USA
Randi Paynter - Department of Epidemiology & Biostatistics, University of California San Francisco School of Medicine, San Francisco, CA, USA
Kharah M Ross - Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
Christine Dunkel Schetter - Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
Kelli K Ryckman - Departments of Epidemiology and Pediatrics, University of Iowa, Iowa City, IA, USA
Christina D Chambers - Department of Pediatrics, University of California San Diego, San Diego, CA, USA
Resource Type: Journal article
Publication Details: Journal of perinatology, Vol.38(8), pp.973-981
DOI: 10.1038/s41372-018-0128-5
PMID: 29795321
PMCID: PMC6092235
NLM abbreviation: J Perinatol
ISSN: 0743-8346
eISSN: 1476-5543
Publisher: United States
Grant note: RC2 HL101748 / NHLBI NIH HHS R01 HD057192 / NICHD NIH HHS SDR 10-180 / HSRD VA R01 HD052953 / NICHD NIH HHS K12 HD000849 / NICHD NIH HHS
Language: English
Date published: 08/2018
Academic Unit: Stead Family Department of Pediatrics; Epidemiology
Record Identifier: 9983995012302771

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