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Background: Epithelial ovarian cancer (EOC) are often diagnosed late due to lack of specific symptoms and efficient tumor markers. Neutrophil gelatinase-associated lipocalin/matrix metallopeptidase-9 (NGAL/MMP-9) complex are involved in the development and progression of various cancers and have potential as a biomarker for diagnosing ovarian cancer. Objectives: To compare the serum NGAL/MMP-9 complex levels in patients with EOC, benign ovarian tumor, and healthy controls, and determine the potential cut-off values of NGAL/MMP-9 complex for diagnosing EOC. Materials and Methods: The study included 50 patients each with EOC and benign ovarian tumor, along with 50 age-matched healthy controls (N = 150). The level of serum NGAL/MMP-9 complex was estimated based on sandwich ELISA. The mean and median of the three groups were compared, and the ROC curve was used to determine the optimum cut-off, sensitivity, and specificity of serum NGAL/MMP-9 complex levels in the diagnosis of EOC. Results: A significant difference was found in the median values of the NGAL/MMP-9 complex (malignant EOC: 67.5 ng/ml, benign ovarian tumor: 53.7 ng/ml, controls: 29.2 ng/ml; P < 0.01). NGAL/MMP-9 complex level was also significantly associated with the FIGO staging (Stages I and II: 42.9 ng/ml; Stages III and IV: 70.5 ng/ml; P < 0.003). At a 55.0 ng/ml cut-off value, the NGAL/MMP-9 complex had 82.0% sensitivity and 78.0% specificity in diagnosing EOC. Conclusion: The NGAL/MMP-9 complex may be a promising biomarker for determining the progression of EOC as well as in detecting advanced-stage ovarian cancer.

Aim: To study if there is an increase in the serum levels of Glial Fibrillary Acidic Protein (GFAP) in patients with glioblastoma so that it can be used as a diagnostic biomarker for these cases. Design: Prospective observational study. Material and Methods: We prospectively examined 193 patients, out of which 25 were controls (patients with degenerative spinal disease or CV junction anomaly), 79 were tumors other than glioma, 45 were histologically proven gliomas except glioblastoma and 44 were histologically proven glioblastomas. Serum was taken from the patients in the pre-operative period. Serum GFAP levels were determined using a biotin-labeled antibody-based sandwich enzyme immunoassay for the quantitative measurement of GFAP in ng/ml. Statistical Analysis: Data analysis was performed by using SPSS (Statistical Package for Social Sciences) version 20:0. Statistical significance was defined as P value < 0.05. Receiver operating characteristic (ROC) curve analysis was used to find the cut-off value of serum GFAP for glioblastoma patients. Results: In Group A (25 controls) and Group B (79 patients with non-glial brain tumors), no patient had detectable levels of GFAP in their serum. Out of the 45 patients with histologically proven gliomas except glioblastoma (Group C), 12 patients had raised serum GFAP levels. Out of the 44 patients with histologically proven glioblastomas (Group D), 38 patients had raised serum GFAP levels while in the remaining 6, the levels of serum GFAP were not detectable. The sensitivity of serum GFAP levels in diagnosing glioblastoma patients was 86.36% and the specificity was 91.95%. The diagnostic accuracy of the test was 90.67%. Conclusions: Serum GFAP is a sensitive and specific marker for glioblastoma and can be a useful pre-operative serum biochemical investigation in differentiating glioblastoma cases from other brain tumors.

Background There is paucity of real-world data on COVID-19 vaccine effectiveness from cohort designs. Variable vaccine performance has been observed in test-negative case-control designs. There is also scarce real-world data of health issues in individuals receiving vaccines after prior COVID-19, and of adverse events of significant concern (AESCs) in the vaccinated. Methods: A cohort study was conducted from July 2021 to December 2021 in a tertiary hospital of North India. The primary outcome was vaccine effectiveness against COVID-19 during the second wave in India. Secondary outcomes were AESCs, and persistent health issues in those receiving COVID-19 vaccines. Regression analyses were performed to determine risk factors of COVID-19 outcomes and persistent health issues. Results: Of the 2760 health care workers included, 2544 had received COVID-19 vaccines, with COVISHIELD (rChAdOx1-nCoV-19 vaccine) received by 2476 (97.3%) and COVAXIN (inactivated SARS-CoV-2 vaccine) by 64 (2.5%). A total of 2691 HCWs were included in the vaccine effectiveness analysis, and 973 COVID-19 events were reported during the period of analysis. Maximum effectiveness of two doses of vaccine in preventing COVID-19 occurrence was 17% across three different strategies of analysis adopted for robustness of data. One-dose recipients were at 1.27-times increased risk of COVID-19. Prior SARS-CoV-2 infection was a strong independent protective factor against COVID-19 (aOR 0.66). Full vaccination reduced moderate–severe COVID-19 by 57%. Those with lung disease were at 2.54-times increased risk of moderate–severe COVID-19, independent of vaccination status. AESCs were observed in 33/2544 (1.3%) vaccinees, including one case each of myocarditis and severe hypersensitivity. Individuals with hypothyroidism were at 5-times higher risk and those receiving a vaccine after recovery from COVID-19 were at 3-times higher risk of persistent health issues. Conclusions: COVID-19 vaccination reduced COVID-19 severity but offered marginal protection against occurrence. The possible relationship of asthma and hypothyroidism with COVID-19 outcomes necessitates focused research. With independent protection of SARS-CoV-2 infection, and high-risk of persistent health issues in individuals receiving vaccine after recovery from SARS-CoV-2 infection, the recommendation of vaccinating those with prior SARS-CoV-2 infection needs reconsideration.