Cervical nitric oxide metabolite levels and clinical variables as predictive factors of high-grade cervical intraepithelial neoplasia

Luca Giannella, Sonia Prandi, Simone Giulini, Kabala Mfuta, Barbara Torrini, Fausto Boselli

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: To create a prediction model of high-grade cervical intraepithelial neoplasia (CIN) based on clinical variables and the cervical nitric oxide metabolite (NOx) levels of study participants. Methods: This comparative study included 694 women undergoing colposcopy due to abnormal pap smear results. On the basis of the cervical biopsy results, the women were divided into the ≤CIN 1 or CIN 2-3 group. The two groups were compared in terms of cervical NOx levels and clinical variables. Univariate, multivariate, and receiver-operating characteristic curve analysis were performed. Results: Multivariate analysis showed that CIN 2-3 associated with more than two cervical biopsies [odds ratio (OR) = 5.16], high-grade squamous intraepithelial lesion cytology (OR = 16.19), condom non-use (OR = 4.28), cervical NOx levels ≤99.9 μmol/L (OR = 16.62), more than four lifetime male sexual partners (OR = 10.56), and age at first coitus of ≤15 years old (OR = 3.54). This combined model had a sensitivity of 86.49 %, a specificity of 90.74 %, a positive predictive value of 64.0 %, and a negative predictive value of 97.2 %. Conclusions: In the present sample, high-grade CIN associated with decreased cervical NOx levels. Thus, along with some clinical variables, cervical NOx levels may be an additional marker of cervical dysplasia.

Original languageEnglish
Pages (from-to)1095-1100
Number of pages6
JournalArchives of Gynecology and Obstetrics
Volume288
Issue number5
DOIs
Publication statusPublished - Nov 2013

Keywords

  • Cervical intraepithelial neoplasia
  • Clinical variables
  • Nitric oxide
  • Prediction model

ASJC Scopus subject areas

  • Obstetrics and Gynaecology

Fingerprint Dive into the research topics of 'Cervical nitric oxide metabolite levels and clinical variables as predictive factors of high-grade cervical intraepithelial neoplasia'. Together they form a unique fingerprint.

Cite this