Predictive Factors for Pelvic Organ Prolapse (POP) in Iranian Women’s: An Ordinal Logistic Approch
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 cri...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
JCDR Research and Publications Private Limited
2014-01-01
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Series: | Journal of Clinical and Diagnostic Research |
Subjects: | |
Online Access: | https://jcdr.net/articles/PDF/3970/28-7261_CE[Ra]_F(DK)_PF1(VH)_PFA(H)_PF2(RKH)_(NJH).pdf |
Summary: | 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. |
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ISSN: | 2249-782X 0973-709X |