Repository of Research and Investigative Information

Repository of Research and Investigative Information

Ilam University of Medical Sciences

Predictive Factors for Pelvic Organ Prolapse (POP) in Iranian Women's: An Ordinal Logistic Approch

Mon Aug 8 17:24:49 2022

(2014) Predictive Factors for Pelvic Organ Prolapse (POP) in Iranian Women's: An Ordinal Logistic Approch. Journal of clinical and diagnostic research : JCDR. pp. 96-9. ISSN 2249-782X (Print) 0973-709X (Linking)

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Official URL: https://www.ncbi.nlm.nih.gov/pubmed/24596735

Abstract

INTRODUCTION: To investigate the predictors factors of Pelvic Organ Prolapse (POP) in Iranian women by using ordinal logistic regression. MATERIALS AND METHODS: The role of risk factors of POP was evaluated among 365 patients attending in two public centres in Ilam province, Iran. Exclusion criteria were of single, pregnant and lactate women receiving hormone replacement therapy. Both the unvaried and multi-variate ordinal logistic regression were used to find the predictive factors of POP and computing sensitivity and specificity of models. RESULTS: In multi-variate ordinal logistic regression the variables of Body Mass Index (BMI) Maximum Birth Weight (MBW) and delivery mode were the most important factors for prediction of prolapse stage. The sensitivity and specificity of multi-variate ordinal logistic, as a screening test, were 95.7 and 48.7 respectively. CONCLUSION: BMI, MBW and delivery mode can use for prediction of POP stage. Stage of prolapse is an ordinal variable, therefore to show relationship between stage of prolapse and other variables ordinal logistic regression is an appropriate model.

Item Type: Article
Creators:
CreatorsEmail
Direkvand-Moghadam, A.UNSPECIFIED
Ghazanfari, Z.UNSPECIFIED
Sayehmiri, K.UNSPECIFIED
Keywords: Dorsal Lithotomy position ligament Ordinal Logistic Regression Pelvic Organ Prolapse
Divisions:
Page Range: pp. 96-9
Journal or Publication Title: Journal of clinical and diagnostic research : JCDR
Journal Index: Pubmed
Volume: 8
Number: 1
Identification Number: https://doi.org/10.7860/JCDR/2014/7261.3970
ISSN: 2249-782X (Print) 0973-709X (Linking)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.medilam.ac.ir/id/eprint/1152

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