Prediction Models of Endometriosis Stage Generated From Potential Hematological Biomarkers

Abstract

Objective: The aim of the study assess efficacy of hematological biomarkers for predicting the stage of endometriosis.
 Materials and methods: Patients underwent surgery and diagnosed with endometriosis confirmed by pathology report between January 2015-December 2020 were included. Individuals were divided into two groups as stage 1-2-3 and stage 4 patients.
 Results: 91 patients with stage 1-2-3 and 105 with stage 4 endometriosis were identified. There was no significant relationship between endometriosis score and complete blood count parameters. However, endometriosis score revealed a significant correlation with serum CA125 level and the combined markers including CA125. The logarithm of the CA 125 was used to predict the endometriosis score. In order to quantify the relationship, a univariate linear model was performed to predict the endometriosis score with log (CA 125). It demonstrated for every increase in the level of log (CA 125), endometriosis score increased by 8.57 (β=8.57. R2=0.115. p<0.001). The p values of alternative parameters analyzed to predict the stage of endometriosis. p-values were 0.263 for neutrophile/lymphocyte; 0.457 for platelet/lymphocyte; 0.790 for red cell distribution width/lymphocyte and 0.842 for mean platelet volume/lymphocyte ratios.
 Conclusion: CA 125 alone was found substaintally efficient in predicting endometriosis stage preoperatively.