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Phenotyping Chronic Pelvic Pain Based on Latent Class Modeling of Physical Examination
Joint Authors
Reichenbach, M.
McCarroll, M.
Fenton, B. W.
Grey, S. F.
von Gruenigen, Vivian E.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Introduction.
Defining clinical phenotypes based on physical examination is required for clarifying heterogeneous disorders such as chronic pelvic pain (CPP).
The objective of this study was to determine the number of classes within 4 examinable regions and then establish threshold and optimal exam criteria for the classes discovered.
Methods.
A total of 476 patients meeting the criteria for CPP were examined using pain pressure threshold (PPT) algometry and standardized numeric scale (NRS) pain ratings at 30 distinct sites over 4 pelvic regions.
Exploratory factor analysis, latent profile analysis, and ROC curves were then used to identify classes, optimal examination points, and threshold scores.
Results.
Latent profile analysis produced two classes for each region: high and low pain groups.
The optimal examination sites (and high pain minimum thresholds) were for the abdominal wall region: the pair at the midabdomen (PPT threshold depression of > 2); vulvar vestibule region: 10:00 position (NRS > 2); pelvic floor region: puborectalis (combined NRS > 6); vaginal apex region: uterosacral ligaments (combined NRS > 8).
Conclusion.
Physical examination scores of patients with CPP are best categorized into two classes: high pain and low pain.
Standardization of the physical examination in CPP provides both researchers and general gynecologists with a validated technique.
American Psychological Association (APA)
Fenton, B. W.& Grey, S. F.& Reichenbach, M.& McCarroll, M.& von Gruenigen, Vivian E.. 2013. Phenotyping Chronic Pelvic Pain Based on Latent Class Modeling of Physical Examination. Pain Research and Treatment،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-505817
Modern Language Association (MLA)
Fenton, B. W.…[et al.]. Phenotyping Chronic Pelvic Pain Based on Latent Class Modeling of Physical Examination. Pain Research and Treatment No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-505817
American Medical Association (AMA)
Fenton, B. W.& Grey, S. F.& Reichenbach, M.& McCarroll, M.& von Gruenigen, Vivian E.. Phenotyping Chronic Pelvic Pain Based on Latent Class Modeling of Physical Examination. Pain Research and Treatment. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-505817
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505817