Biomarkers of Spontaneous Preterm Birth: An Overview of The Literature in the Last Four Decades

Menon, Ramkumar; Torloni, Maria Regina; Voltolini, Chiara; Torricelli, Michela; Merialdi, Mario; Betrán, Ana Pilar; Widmer, Mariana; Allen, Tomas; Davydova, Iu.V.; Khodjaeva, Zulfiya; Thorsen, Poul; Kacerovský, Marian; Tambor, Vojtìch; Massinen, Tytti; Nace, Judith; Arora, Chander

doi:10.1177/1933719111415548

Cited by 107 publications

(126 citation statements)

References 33 publications

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“…Their finding that increased expression of interleukin-1 receptor antagonist (IL-1ra) in maternal plasma is associated with PTB is an important contribution to our understanding of how maternal cytokine cascade is activated prior to PTB, particularly with early PTB prior to 32 weeks gestation. However, the authors' published odds ratios for cytokine markers are between 2.0 and 2.5, which are similar to previous biomarker publications, and are not likely to be clinically useful as highlighted in a recent review by Menon et al 6 in Reproductive Sciences.…”

supporting

confidence: 61%

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Predicting preterm birth: where do the major challenges lie?

Pereira

Caughey

2012

J Perinatol

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supporting

confidence: 61%

“…This same methodology has been applied to predicting PTB, but with extremely poor results. The review by Menon 6 cited previously concludes that none of the published biomarkers to date have the predictive accuracy necessary to be recommended for clinical practice.…”

mentioning

confidence: 99%

Predicting preterm birth: where do the major challenges lie?

Pereira

Caughey

2012

J Perinatol

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“…13,14,17,18 More recent efforts have focused on biomarkers such as pregnancy-associated plasma protein A, fetal fibronectin, and placental growth factor to augment the predictive capacity of demographic and clinical risk factors; however, this body of research has not yet yielded a clear approach for implementation in clinical practice. [19][20][21][22] As with prior studies, important risk factors in our model included race and obstetric history. Our inclusion of childhood abuse in the model is also consistent with recent literature demonstrating the importance of childhood history as a significant risk factor.…”

Section: Figmentioning

confidence: 99%

“…[13][14][15] More recently, risk models including cervical length as well as various biomarkers have shown promise in increasing prognostic performance. [16][17][18][19][20][21][22] However, this research has not yet yielded a risk assessment tool for use in clinical practice; moreover, the majority of these prediction models have been derived using a general population, which may overinflate their ability to discriminate risk within an a priori at-risk population of Medicaid recipients.…”

Section: Introductionmentioning

confidence: 99%

Risk Prediction for Adverse Pregnancy Outcomes in a Medicaid Population

Goyal

Hall

Greenberg

et al. 2015

Journal of Women's Health

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Background: Despite prior efforts to develop pregnancy risk prediction models, there remains a lack of evidence to guide implementation in clinical practice. The current aim was to develop and validate a risk tool grounded in social determinants theory for use among at-risk Medicaid patients. Methods: This was a retrospective cohort study of 409 women across 17 Cincinnati health centers between September 2013 and April 2014. The primary outcomes included preterm birth, low birth weight, intrauterine fetal demise, and neonatal death. After random allocation into derivation and validation samples, a multivariable model was developed, and a risk scoring system was assessed and validated using area under the receiver operating characteristic curve (AUROC) values. Results: The derived multivariable model (n = 263) included: prior preterm birth, interpregnancy interval, late prenatal care, comorbid conditions, history of childhood abuse, substance use, tobacco use, body mass index, race, twin gestation, and short cervical length. Using a weighted risk score, each additional point was associated with an odds ratio of 1.57 for adverse outcomes, p < 0.001, AUROC = 0.79. In the validation sample (n = 146), each additional point conferred an odds ratio of 1.20, p = 0.03, AUROC = 0.63. Using a cutoff of 20% probability for the outcome, sensitivity was 29%, with specificity 82%. Positive and negative predictive values were 22% and 85%, respectively. Conclusions: Risk scoring based on social determinants can discriminate pregnancy risk within a Medicaid population; however, performance is modest and consistent with prior prediction models. Future research is needed to evaluate whether implementation of risk scoring in Medicaid prenatal care programs improves clinical outcomes.

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“…Внимание к релаксину в качестве предиктора преждевременных родов обусловлено наличием доказательств о его при-частности к патогенезу прерывания беременно-сти и возможностью его определения в крови беременных уже с ранних сроков гестации. Это позволяет рассматривать релаксин в каче-стве перспективного маркера угрожающих пре-ждевременных родов и служит основанием для его изучения [6].…”

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Prognostic possibilities of relaxin as a marker of preterm birth

et al. 2018

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Premature birth is one of the most important problems of modern obstetrics because it is a leading cause of childhood morbidity and mortality in all countries. Annually, > 1 million premature newborns worldwide die from various types of complications, and most of the survivors become disabled. Moreover, according to WHO analysis, most of these children can be saved by developing measures for the early identification of preterm births, which will provide additional time for effective intervention. Currently, available diagnostic methods do not adequately assess the risks of premature delivery owing to the low predictive value of the methods. This makes it necessary to search for predictors of preterm labor that can improve the accuracy of diagnostic techniques. The desired predictors should have a pathogenetic basis, and most importantly, they must contribute to the early detection of life-threatening premature births. The hormone relaxin could be considered to be a promising marker of premature birth because its role in the pathogenesis of premature birth is unquestionable, and the evaluation of its levels is possible during the early stages of pregnancy.

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Biomarkers of Spontaneous Preterm Birth: An Overview of The Literature in the Last Four Decades

Cited by 107 publications

References 33 publications

Predicting preterm birth: where do the major challenges lie?

Predicting preterm birth: where do the major challenges lie?

Risk Prediction for Adverse Pregnancy Outcomes in a Medicaid Population

Prognostic possibilities of relaxin as a marker of preterm birth

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