Nomogram development for predicting ovarian tumor malignancy using inflammatory biomarker and CA-125.

Global challenges in ovarian cancer underscore the need for cost-effective screening. This study aims to assess the role of pretreatment Neutrophil-to-Lymphocyte Ratio (NLR), Lymphocyte-to-Monocyte-Ratio (LMR), Platelet-to-Lymphocyte Ratio (PLR), and CA-125 in distinguishing benign and malignant ovarian tumors, while also constructing nomogram models for distinguish benign and malignant ovarian tumor using inflammatory biomarkers and CA-125. This is a retrospective study of 206 ovarian tumor patients. We conducted bivariate analysis to compare mean values of CA-125, LMR, NLR, and PLR with histopathology results. Multiple regression logistic analysis was then employed to establish predictive models for malignancy. NLR, PLR, and CA-125 exhibited statistically higher levels in malignant ovarian tumors compared to benign ones (5.56 ± 4.8 vs. 2.9 ± 2.58, 278.12 ± 165.2 vs. 180.64 ± 89.95, 537.2 ± 1621.47 vs. 110.08 ± 393.05, respectively), while lower LMR was associated with malignant tumors compared to benign (3.2 ± 1.6 vs. 4.24 ± 1.78, p = 0.0001). Multiple logistic regression analysis revealed that both PLR and CA125 emerged as independent risk factors for malignancy in ovarian tumors (P(z) 0.03 and 0.01, respectively). Utilizing the outcomes of multiple regression logistic analysis, a nomogram was constructed to enhance malignancy prediction in ovarian tumors. In conclusion, our study emphasizes the significance of NLR, PLR, CA-125, and LMR in diagnosing ovarian tumors. PLR and CA-125 emerged as independent risk factors for distinguishing between benign and malignant tumors. The nomogram model offers a practical way to enhance diagnostic precision.

Activity Disease in SLE Patients Affected IFN-γ in the IGRA Results.

PURPOSE: Highly active systemic lupus erythematosus (SLE) causes a high risk of tuberculosis (TB) infection in SLE patients in Indonesia, a country in which the disease, especially extrapulmonary TB, is endemic. Interferon (IFN)-γ releasing assay (IGRA) can detect latent or previous TB infection. This study sought to determine latent TB infection and levels of IFN-γ, a key player in various inflammation and autoimmune disease, in patients with SLE and relate findings to disease activity. PATIENTS AND METHODS: This experimental study included 79 female subjects distributed into three groups of active SLE, quiescent SLE and healthy controls. We used SLE Disease Activity Index-2000 (SLEDAI-2K) scores to stratify the subjects. Each group underwent IGRA testing using the QuantiFERON-TB Gold Plus kit. RESULTS: We recruited 59 female patients with SLE. The patients had a median age and disease duration 30 and 5 years, respectively. Statistical analysis using the Kruskal-Wallis test showed that active condition, high SLEDAI-2K score and immunosuppressive therapies affect IGRA results. Specifically, healthy controls (n=20) were most likely to have negative IGRA results (67.09%), whilst 27.27% of active cases (n=33) and 3.85% of quiescent cases (n=26) had indeterminate results (p=0.02). The number of immunosuppressant therapies was significantly negatively correlated with IFN-γ (p=0.004). No difference in IFN-γ concentration was detected amongst the active and other groups (p>0.05). CONCLUSION: High-activity SLE and immunosuppressive therapies cause dysregulation of the immune response, which, in turn, influences IGRA results. Thus, additional testing is necessary to detect TB infection in patients with SLE.