Phenotyping Chronic Pelvic Pain Based on Latent Class Modeling of Physical Examination

被引:7
作者
Fenton, B. W. [1 ]
Grey, S. F. [2 ]
Reichenbach, M. [2 ]
McCarroll, M. [1 ]
Von Gruenigen, V. [1 ]
机构
[1] Summa Hlth Syst, Dept Obstet & Gynecol, 525 E Market St, Akron, OH 44309 USA
[2] Kent State Univ, Dept Epidemiol & Biostat, Coll Publ Hlth, Kent, OH 44242 USA
关键词
D O I
10.1155/2013/891301
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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 examcriteria for the classes discovered. Methods. Atotal 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.
引用
收藏
页数:9
相关论文
共 21 条
[1]   Development of a PROMIS item bank to measure pain interference [J].
Amtmann, Dagmar ;
Cook, Karon F. ;
Jensen, Mark P. ;
Chen, Wen-Hung ;
Choi, Seung ;
Revicki, Dennis ;
Cella, David ;
Rothrock, Nan ;
Keefe, Francis ;
Callahan, Leigh ;
Lai, Jin-Shei .
PAIN, 2010, 150 (01) :173-182
[2]   Uterine innervation after hysterectomy for chronic pelvic pain with, and without, endometriosis [J].
Atwal, G ;
du Plessis, D ;
Armstrong, G ;
Slade, R ;
Quinn, M .
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2005, 193 (05) :1650-1655
[3]   Evidence for Overlap Between Urological and Nonurological Unexplained Clinical Conditions [J].
Bullones Rodriguez, Maria Angeles ;
Afari, Niloofar ;
Buchwald, Dedra S. .
JOURNAL OF UROLOGY, 2013, 189 (01) :S66-S74
[4]   An entropy criterion for assessing the number of clusters in a mixture model [J].
Celeux, G ;
Soromenho, G .
JOURNAL OF CLASSIFICATION, 1996, 13 (02) :195-212
[5]  
Costello A. B., 2005, BEST PRACTICES EXPLO, V10, P1, DOI 10.7275/jyj1-4868
[6]  
Fenton B W, 2013, Minerva Ginecol, V65, P69
[7]   Frequency and distribution of multiple diagnoses in chronic pelvic pain related to previous abuse or drug-seeking behavior [J].
Fenton, Bradford W. ;
Durner, Christopher ;
Fanning, James .
GYNECOLOGIC AND OBSTETRIC INVESTIGATION, 2008, 65 (04) :247-251
[8]   Quantification of Abdominal Wall Pain Using Pain Pressure Threshold Algometry in Patients With Chronic Pelvic Pain [J].
Fenton, Bradford W. ;
Palmieri, Patrick A. ;
Durner, Christopher ;
Fanning, James .
CLINICAL JOURNAL OF PAIN, 2009, 25 (06) :500-505
[9]   Identification of diagnostic subtypes of chronic pelvic pain and how subtypes differ in health status and trauma history [J].
Leserman, Jane ;
Zolnoun, Denniz ;
Meltzer-Brody, Samantha ;
Lamvu, Georgine ;
Steege, John F. .
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2006, 195 (02) :554-560
[10]   Investigating population heterogeneity with factor mixture models [J].
Lubke, GH ;
Muthén, B .
PSYCHOLOGICAL METHODS, 2005, 10 (01) :21-39