Development of a nonsurgical diagnostic tool for endometriosis based on the detection of endometrial leukocyte subsets and serum CA-125 levels
| Autor: | Kamran Shazand, Manon Lépine, Diane Gosselin, Patrice Hugo, Michèle Rivard, Christele Platon, Martin Pagé, Danièle Gagné |
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| Rok vydání: | 2003 |
| Předmět: |
Adult
medicine.medical_specialty media_common.quotation_subject Endometriosis Endometrium Sensitivity and Specificity Gastroenterology Antigens CD Predictive Value of Tests Risk Factors Positive predicative value Internal medicine Leukocytes medicine Humans Risk factor Menstrual cycle media_common Gynecology business.industry Case-control study Obstetrics and Gynecology medicine.disease medicine.anatomical_structure Reproductive Medicine In utero CA-125 Antigen Case-Control Studies Predictive value of tests Female business Biomarkers |
| Zdroj: | Fertility and Sterility. 80:876-885 |
| ISSN: | 0015-0282 |
| DOI: | 10.1016/s0015-0282(03)01153-1 |
| Popis: | Objective To determine whether the proportion of several leukocyte subsets is modulated in the endometrium of patients with endometriosis and, if yes, whether it can be used for diagnostic purposes. Design: Case-control study. Setting: Eight clinical institutions of the Montreal area. Patient(s): Women who underwent laparoscopy or laparotomy between 1997 and 2001, who had regular menstrual cycles and were not under hormone treatment for the previous 3 months were selected. This study included 368 women, 173 with surgically confirmed endometriosis and 195 controls with no surgical evidence of endometriosis. Intervention(s): Main outcome measure(s): Cytometry analysis was used to measure the proportion of several leukocyte subsets among CD45 + endometrial cells. Result(s): The proportion of CD3 + , CD16 + , CD3 − HLADR − , CD3 - CD45RA − , CD3 + CD16 − , CD3 + CD56 − , CD56 − CD16 + , and CD16b + leukocytes was significantly altered in the endometrium of cases compared with controls. A multiple logistic regression model was adjusted with these endometrial leukocytes, serum CA-125 levels, risk factors, and confounders. The diagnostic performance of this predictive model was defined by a specificity of 95% and a sensitivity of 61%. Furthermore, the positive and negative predictive values were 91% and 75%, respectively. Conclusion(s) This predictive model represents a novel diagnostic tool to identify women with a high likelihood of suffering from endometriosis. |
| Databáze: | OpenAIRE |
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