{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T05:12:40Z","timestamp":1789621960706,"version":"build-2803163510"},"reference-count":23,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T00:00:00Z","timestamp":1629244800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Laboratory Analysis"],"published-print":{"date-parts":[[2021,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>We aimed to analyze the differences in the peripheral blood cells and tumor biomarkers between the patients with endometriosis and healthy people, and establish a more efficient combined diagnostic model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We retrospectively analyzed the differences in the peripheral blood cells and tumor biomarkers between the patients with endometriosis and healthy people. Binary logistic regression analysis was used to establish a combined diagnostic model. We plotted the receiver operator characteristic (ROC) curve to analyze the diagnostic efficiency of different diagnostic indexes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Compared with patients in the control group, patients in the endometriosis group had significantly lower eosinophil% (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.045), neutrophil (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.001), lymphocyte (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001), red blood cells (RBCs) (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001), and hemoglobin (HGB) (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001), and had significantly higher monocyte% (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.008), monocyte\u2010to\u2010lymphocyte ratio (MLR) (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.001), platelet\u2010to\u2010lymphocyte ratio (PLR) (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001), carbohydrate antigen (CA)\u2010199 (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001), CA125 (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001), human epididymis protein (HE)\u20104 (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001), and the risk of ovarian malignancy algorithm (ROMA) (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001). The combined diagnostic model of HGB, CA199, CA125, and HE4 was established by binary logistic regression analysis. The ROC curve showed that the combined diagnostic model reached a sensitivity of 85.4%, a specificity of 78.83%, and an area under the curve of 0.900, which was significantly higher than that of the individual index in endometriosis diagnosis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The combined diagnostic model of HGB, CA199, CA125, and HE4 may provide a new approach for the early non\u2010invasive diagnosis of endometriosis.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcla.23947","type":"journal-article","created":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T08:58:42Z","timestamp":1629277122000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["The diagnostic value of the combination of hemoglobin, CA199, CA125, and HE4 in endometriosis"],"prefix":"10.1002","volume":"35","author":[{"given":"Ting","family":"Chen","sequence":"first","affiliation":[{"name":"The Affiliated Suzhou Hospital of Nanjing Medical University Suzhou China"},{"name":"Suzhou Municipal Hospital Suzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia\u2010Ling","family":"Wei","sequence":"additional","affiliation":[{"name":"The Affiliated Suzhou Hospital of Nanjing Medical University Suzhou China"},{"name":"Suzhou Municipal Hospital Suzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting","family":"Leng","sequence":"additional","affiliation":[{"name":"The Affiliated Suzhou Hospital of Nanjing Medical University Suzhou China"},{"name":"Suzhou Municipal Hospital Suzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1806-602X","authenticated-orcid":false,"given":"Fei","family":"Gao","sequence":"additional","affiliation":[{"name":"The Affiliated Suzhou Hospital of Nanjing Medical University Suzhou China"},{"name":"Suzhou Municipal Hospital Suzhou 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