A clinical score can predict associated deep infiltrating endometriosis before surgery for an endometrioma

Is it possible to detect associated deep infiltrating endometriosis (DIE) before surgery for patients operated on for endometriomas using a preoperative clinical symptoms questionnaire? A diagnostic score of DIE associated with endometriomas using four clinical symptoms defined a high-risk group whe...

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Veröffentlicht in:Human reproduction (Oxford) 2014-08, Vol.29 (8), p.1666-1676
Hauptverfasser: Lafay Pillet, M C, Huchon, C, Santulli, P, Borghese, B, Chapron, C, Fauconnier, A
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Sprache:eng
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Zusammenfassung:Is it possible to detect associated deep infiltrating endometriosis (DIE) before surgery for patients operated on for endometriomas using a preoperative clinical symptoms questionnaire? A diagnostic score of DIE associated with endometriomas using four clinical symptoms defined a high-risk group where the probability of DIE was 88% and a low-risk group with a 10% probability of DIE. Many clinical symptoms are already known to be associated with DIE but they have not yet been used to build a clinical prediction model. We built a diagnostic score of DIE based on a case control study of 326 consecutive patients operated on for an endometrioma between January 2005 and October 2011: 164 had associated DIE (DIE+) and 162 had no DIE (DIE-). We derived the score on a training sample obtained from a random selection of 2/3 of the population (211 patients, 101 DIE+, 110 DIE-), and validated the results on the remaining third (115 patients, 63 DIE+, 52 DIE-). The gold standard for the diagnosis of DIE was based on surgical exploration and histological diagnosis. Participants were consecutive patients aged 18-42 years who underwent surgery for an endometrioma with histological confirmation and complete treatment of their endometriotic lesions: data for these women were extracted from a prospective database including a standardized preoperative questionnaire. On the training dataset, variables associated with DIE in a univariate analysis were introduced in a multiple logistic regression and selected by a backward stepwise procedure and a Jackknife procedure. A diagnostic score of DIE was built with the scaled/rounded coefficients of the multiple regression. Two cut-off values delimitated a high and a low risk group, and their diagnostic accuracy was tested on the validation dataset. Four variables were independently associated with DIE: visual analogue scale of gastro-intestinal symptoms ≥5 or of deep dyspareunia >5 (adjusted diagnostic odds ratio (aDOR) = 6.0, 95% confidence interval (CI) [2.9-12.1]), duration of pain greater than 24 months (aDOR = 3.8, 95% CI [1.9-7.7]), severe dysmenorrhoea (defined as the prescription of the oral contraceptive pill for the treatment of a primary dysmenorrhoea or the worsening of a secondary dysmenorrhoea) (aDOR = 3.8, 95% CI [1.9-7.6]) and primary or secondary infertility (aDOR = 2.5, 95% CI [1.2-4.9]). The sum of these variables weighted by their rounded/scaled coefficients constituted the score ranging from 0 to 53. A score
ISSN:0268-1161
1460-2350
DOI:10.1093/humrep/deu128