Eur J Obstet Gynecol Reprod Biol. 2014 Oct;181:328-33. doi: 10.1016/j.ejogrb.2014.08.007. Epub 2014 Aug 16.
Cobellis L1, Castaldi MA2, Giordano V1, De Franciscis P1, Signoriello G3, Colacurci N1.
Author information 1Department of the Woman, the Child and General and Specialized Surgery, Second University of Naples, Naples, Italy.2Department of the Woman, the Child and General and Specialized Surgery, Second University of Naples, Naples, Italy. Electronic address: email@example.comDepartment of Public Medicine, Section of Statistics, Second University of Naples, Naples, Italy.
Eur J Obstet Gynecol Reprod Biol
AbstractOBJECTIVE: The purpose of this study was to develop a clinical tool, the HFI (Hysteroscopy Failure Index), which gives criteria to predict hysteroscopic examination failure.STUDY DESIGN: This was a retrospective diagnostic test study, aimed to validate the HFI, set at the Department of Gynaecology, Obstetric and Reproductive Science of the Second University of Naples, Italy. The HFI was applied to our database of 995 consecutive women, who underwent office based to assess abnormal uterine bleeding (AUB), infertility, cervical polyps, and abnormal sonographic patterns (postmenopausal endometrial thickness of more than 5mm, endometrial hyperechogenic spots, irregular endometrial line, suspect of uterine septa). Demographic characteristics, previous surgery, recurrent infections, sonographic data, Estro-Progestins, IUD and menopausal status were collected. Receiver operating characteristic (ROC) curve analysis was used to assess the ability of the model to identify patients who were correctly identified (true positives) divided by the total number of failed hysteroscopies (true positives+false negatives). Positive and Negative Likelihood Ratios with 95%CI were calculated.RESULTS: The HFI score is able to predict office hysteroscopy failure in 76% of cases. Moreover, the Positive likelihood ratio was 11.37 (95% CI: 8.49-15.21), and the Negative likelihood ratio was 0.33 (95% CI: 0.27-0.41).CONCLUSION: Hysteroscopy failure index was able to retrospectively predict office hysteroscopy failure.Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.
Full Text Source: Elsevier Science
PMID:25212115 | http://www.ncbi.nlm.nih.gov/pubmed/25212115