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Archives of Gynecology and Obstetrics

, Volume 285, Issue 1, pp 61–66 | Cite as

Combination of biochemical markers in predicting pre-term delivery

  • Francesca Riboni
  • Anna Vitulo
  • Mario Plebani
  • Marinella Dell’avanzo
  • Giuseppe Battagliarin
  • Delia Paternoster
Materno-Fetal Medicine

Abstract

Purpose

The aim of this study was to evaluate the predictive performances of some biochemical markers in predicting pre-term delivery in asymptomatic women.

Methods

We included 491 asymptomatic women at 24 weeks’ gestation, who underwent the endocervical phosphorylated insulin-like growth factor binding protein (phIGFBP-1) test, cervico-vaginal interleukins 6 (IL-6) and 8 (IL-8), and serum C-reactive protein (CRP). A receiver-operating characteristics (ROC) curve was used to determine the most useful cut off point. A multivariate logistic regression model was used in order to analyze the combination of significant predictive variables for pre-term delivery following univariate analysis.

Results

ROC curves indicated that 33 μg/l was the optimal cut off value for phIGFBP-1 test, 21.3 ng/l for IL-6, 324 ng/l for IL-8, and 8.42 mg/l for CRP in predicting pre-term delivery. The univariate logistic regression analyses revealed an odds ratio of 3.04 for phIGFBP-1 test, 4.82 for IL-6, and 3.08 for CRP. The multivariate analysis of phIGFBP-1 test, IL-6, and CRP showed that they were independent variables and therefore useful in combination for predicting pre-term delivery.

Conclusions

The phIGFBP-1 test, the cervico-vaginal IL-6, and the serum CRP are independent variables that can be used together to predict pre-term delivery in asymptomatic women.

Keywords

Biochemical markers Phosphorylated insulin-like growth factor binding protein-1 test Cervico-vaginal interleukins Serum C-reactive protein Pre-term delivery Spontaneous pre-term delivery 

Abbreviations

phIGFBP-1

Phosphorylated insulin-like growth factor binding protein

IL

Interleukin

CRP

C-reactive protein

PPV

Positive predictive value

NPV

Negative predictive value

NS

Not significant

OR

Odds ratio

Notes

Conflict of interest

None.

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Francesca Riboni
    • 1
    • 5
  • Anna Vitulo
    • 2
  • Mario Plebani
    • 3
  • Marinella Dell’avanzo
    • 4
  • Giuseppe Battagliarin
    • 4
  • Delia Paternoster
    • 1
  1. 1.Department of Obstetrics and GynecologyUniversity of NovaraNovaraItaly
  2. 2.Department of Gynecology and Human ReproductionUniversity of PaduaPaduaItaly
  3. 3.Laboratory DepartmentUniversity of PaduaPaduaItaly
  4. 4.Department of Obstetrics and GynecologyBuzzi HospitalMilanItaly
  5. 5.Department of Obstetrics and GynecologyUniversity “A.Avogadro”NovaraItaly

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