Open AccessThe diagnostic value of the combination of hemoglobin, CA199, CA125, and HE4 in endometriosis
Author(s) -
Chen Ting,
Wei JiaLing,
Leng Ting,
Gao Fei,
Hou Shunyu
Publication year - 2021
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.23947
Subject(s) - endometriosis , medicine , receiver operating characteristic , logistic regression , gastroenterology , lymphocyte , area under the curve , hemoglobin , malignancy , cancer antigen , confounding , peripheral blood lymphocyte , peripheral blood , cancer
Abstract Background 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. Methods 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. Results Compared with patients in the control group, patients in the endometriosis group had significantly lower eosinophil% ( p = 0.045), neutrophil ( p = 0.001), lymphocyte ( p < 0.001), red blood cells (RBCs) ( p < 0.001), and hemoglobin (HGB) ( p < 0.001), and had significantly higher monocyte% ( p = 0.008), monocyte‐to‐lymphocyte ratio (MLR) ( p = 0.001), platelet‐to‐lymphocyte ratio (PLR) ( p < 0.001), carbohydrate antigen (CA)‐199 ( p < 0.001), CA125 ( p < 0.001), human epididymis protein (HE)‐4 ( p < 0.001), and the risk of ovarian malignancy algorithm (ROMA) ( p < 0.001). 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. Conclusion The combined diagnostic model of HGB, CA199, CA125, and HE4 may provide a new approach for the early non‐invasive diagnosis of endometriosis.