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 inFertility and sterility Vol. 80; no. 4; pp. 876 - 885
Main Authors Gagné, Danièle, Rivard, Michèle, Pagé, Martin, Lépine, Manon, Platon, Christèle, Shazand, Kamran, Hugo, Patrice, Gosselin, Diane
Format Journal Article
LanguageEnglish
Published 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.
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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Issue 4
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
Volume 80
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