Development of a nonsurgical diagnostic tool for endometriosis based on the detection of endometrial leukocyte subsets and serum CA-125 levels
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. Case-control study. Eight clinical institutions of the Montreal area. Women who underwent laparoscopy or laparo...
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Published in | Fertility and sterility Vol. 80; no. 4; pp. 876 - 885 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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New York, NY
Elsevier Inc
01.10.2003
Elsevier Science |
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Abstract | 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.
Case-control study.
Eight clinical institutions of the Montreal area.
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.
Main outcome measure(s):
Cytometry analysis was used to measure the proportion of several leukocyte subsets among CD45
+ endometrial cells.
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.
This predictive model represents a novel diagnostic tool to identify women with a high likelihood of suffering from endometriosis. |
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AbstractList | 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.
Case-control study.
Eight clinical institutions of the Montreal area.
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.
Cytometry analysis was used to measure the proportion of several leukocyte subsets among CD45(+) endometrial cells.
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.
This predictive model represents a novel diagnostic tool to identify women with a high likelihood of suffering from endometriosis. 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. Case-control study. Eight clinical institutions of the Montreal area. 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. Main outcome measure(s): Cytometry analysis was used to measure the proportion of several leukocyte subsets among CD45 + endometrial cells. 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. This predictive model represents a novel diagnostic tool to identify women with a high likelihood of suffering from endometriosis. OBJECTIVETo 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.DESIGNCase-control study.SETTINGEight 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.INTERVENTIONSMAIN 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. |
Author | Lépine, Manon Platon, Christèle Gosselin, Diane Gagné, Danièle Shazand, Kamran Hugo, Patrice Rivard, Michèle Pagé, Martin |
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Keywords | Diagnostic test predictive model endometriosis endometrium CA-125 endometrial leukocytes logistic regression leukocyte subsets case control study Validation Human Menstrual cycle Leukocyte Prediction Biological marker Endometriosis Case control study Female genital diseases Logistic regression Uterus CA- 125 Female genital system Risk factor Uterine diseases CA 125 antigen Female Serum Diagnosis Endometrium |
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Snippet | 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... OBJECTIVETo determine whether the proportion of several leukocyte subsets is modulated in the endometrium of patients with endometriosis and, if yes, whether... |
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SubjectTerms | Adult Antigens, CD - analysis Biological and medical sciences Biomarkers - analysis CA-125 CA-125 Antigen - blood case control study Case-Control Studies Diagnostic test endometrial leukocytes endometriosis Endometriosis - blood Endometriosis - etiology Endometriosis - immunology Endometriosis - pathology endometrium Endometrium - pathology Female Female genital diseases Gynecology. Andrology. Obstetrics Humans leukocyte subsets Leukocytes - immunology Leukocytes - pathology logistic regression Medical sciences Non tumoral diseases predictive model Predictive Value of Tests Risk Factors Sensitivity and Specificity |
Title | Development of a nonsurgical diagnostic tool for endometriosis based on the detection of endometrial leukocyte subsets and serum CA-125 levels |
URI | https://dx.doi.org/10.1016/S0015-0282(03)01153-1 https://www.ncbi.nlm.nih.gov/pubmed/14556806 https://search.proquest.com/docview/71290666 |
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