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Prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population

INTRODUCTION AND HYPOTHESIS: Estimation on prevalence and distribution of pelvic organ prolapse (POP) signs in a general female population is difficult. We therefore developed and validated a prediction model and prognostic instrument. METHODS: Questionnaires were sent to a general female population...

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Autores principales: Slieker-ten Hove, Marijke C. Ph., Pool-Goudzwaard, Annelies L., Eijkemans, Marinus J. C., Steegers-Theunissen, Regine P. M., Burger, Curt W., Vierhout, Mark E.
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2721134/
https://www.ncbi.nlm.nih.gov/pubmed/19444367
http://dx.doi.org/10.1007/s00192-009-0903-0
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author Slieker-ten Hove, Marijke C. Ph.
Pool-Goudzwaard, Annelies L.
Eijkemans, Marinus J. C.
Steegers-Theunissen, Regine P. M.
Burger, Curt W.
Vierhout, Mark E.
author_facet Slieker-ten Hove, Marijke C. Ph.
Pool-Goudzwaard, Annelies L.
Eijkemans, Marinus J. C.
Steegers-Theunissen, Regine P. M.
Burger, Curt W.
Vierhout, Mark E.
author_sort Slieker-ten Hove, Marijke C. Ph.
collection PubMed
description INTRODUCTION AND HYPOTHESIS: Estimation on prevalence and distribution of pelvic organ prolapse (POP) signs in a general female population is difficult. We therefore developed and validated a prediction model and prognostic instrument. METHODS: Questionnaires were sent to a general female population (45–85 years). A random sample underwent vaginal examination for POP (POPQ). A prediction model was developed using multivariate analysis and validated in a subgroup of participants. RESULTS: Positive questionnaire-response rate was 46.8% (1,397 of 2,979). From the questionnaire group, 649 women were vaginally examined (46.5%). Prevalence of clinically relevant POP was 21%. Multivariate analysis demonstrated significantly higher odds ratios on the report of vaginal bulging, parity ≥2 and a mother with POP. The receiver operating characteristic curve showed areas under the curve of 0.672 and 0.640. CONCLUSIONS: The prevalence of POP at or beyond the hymen could be estimated in a general female population using our prediction model with 17 questions and our POP score chart with eight questions.
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spelling pubmed-27211342009-08-06 Prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population Slieker-ten Hove, Marijke C. Ph. Pool-Goudzwaard, Annelies L. Eijkemans, Marinus J. C. Steegers-Theunissen, Regine P. M. Burger, Curt W. Vierhout, Mark E. Int Urogynecol J Original Article INTRODUCTION AND HYPOTHESIS: Estimation on prevalence and distribution of pelvic organ prolapse (POP) signs in a general female population is difficult. We therefore developed and validated a prediction model and prognostic instrument. METHODS: Questionnaires were sent to a general female population (45–85 years). A random sample underwent vaginal examination for POP (POPQ). A prediction model was developed using multivariate analysis and validated in a subgroup of participants. RESULTS: Positive questionnaire-response rate was 46.8% (1,397 of 2,979). From the questionnaire group, 649 women were vaginally examined (46.5%). Prevalence of clinically relevant POP was 21%. Multivariate analysis demonstrated significantly higher odds ratios on the report of vaginal bulging, parity ≥2 and a mother with POP. The receiver operating characteristic curve showed areas under the curve of 0.672 and 0.640. CONCLUSIONS: The prevalence of POP at or beyond the hymen could be estimated in a general female population using our prediction model with 17 questions and our POP score chart with eight questions. Springer-Verlag 2009-05-15 2009 /pmc/articles/PMC2721134/ /pubmed/19444367 http://dx.doi.org/10.1007/s00192-009-0903-0 Text en © The Author(s) 2009 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Original Article
Slieker-ten Hove, Marijke C. Ph.
Pool-Goudzwaard, Annelies L.
Eijkemans, Marinus J. C.
Steegers-Theunissen, Regine P. M.
Burger, Curt W.
Vierhout, Mark E.
Prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population
title Prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population
title_full Prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population
title_fullStr Prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population
title_full_unstemmed Prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population
title_short Prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population
title_sort prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2721134/
https://www.ncbi.nlm.nih.gov/pubmed/19444367
http://dx.doi.org/10.1007/s00192-009-0903-0
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