In epidemiologic and exposure research, biomonitoring is often used as the basis for assessing human exposure to environmental chemicals. Studies frequently rely on a single urinary measurement per participant to assess exposure to non-persistent chemicals. However, there is a growing consensus that single urine samples may be insufficient for adequately estimating exposure. The question then arises: how many samples would be needed for optimal characterization of exposure? To help researchers answer this question, we developed a tool called the Biomarker Reliability Assessment Tool (BRAT). The BRAT is based on pharmacokinetic modeling simulations, is freely available, and is designed to help researchers determine the approximate number of urine samples needed to optimize exposure assessment. The BRAT performs Monte Carlo simulations of exposure to estimate internal levels and resulting urinary concentrations in individuals from a population based on user-specified inputs (e.g., biological half-life, within- and between-person variability in exposure). The BRAT evaluates—through linear regression and quantile classification—the precision/accuracy of the estimation of internal levels depending on the number of urine samples. This tool should guide researchers towards more robust biomonitoring and improved exposure classification in epidemiologic and exposure research, which should in turn improve the translation of that research into decision-making.
We present the first reported case of stage 4 thymoma with pleural metastases that was found to be driven by the neurotrophic tyrosine receptor kinase (NTRK)-fusion gene. The patient was started on chemotherapy but it was discontinued due to intolerable side effects. Alternative options in such patients with rare diseases are limited; in fact, many concerns exist regarding the safety and efficacy of newly approved agents for the treatment of advanced thymomas, such as pembrolizumab and sunitinib. Due to NTRK-fusion gene positivity, entrectinib, a novel NTRK-fusion inhibitor, was then initiated. This drug has shown an objective response of 57% in treating NTRK fusion-positive solid tumors of 19 different histological subtypes, predominantly sarcomas, non-small cell lung cancer (NSCLC), and mammary analogue secretory carcinoma of the salivary gland. However, it has never been assessed in the treatment of thymomas. After 10 months of follow-up, the patient showed a significant response with mild adverse events, which was managed by temporary discontinuation of the drug. This case highlights the crucial role of whole-genome sequencing and tissue-agnostic antineoplastics in the future of cancer treatment.
COVID-19 pandemic has led to a catastrophic shortage of ICU beds. This has resulted in the need to identify patients that can be discharged early before full clinical recovery. We designed this study to determine if in changes routine tests like CBCD and CRP can be a useful complement to clinical status when deciding to discharge patients from ICU. This retrospective study was conducted in Rafic Hariri University Hospital. Levels of biomarkers measured at admission (T1) and within 3 days of outcome (T2) were collected and ratios (T2/T1) were calculated. The Odds Ratios of association between the changes in these biomarkers and outcome were estimated. Multivariate analysis and AUC for the performance of these biomarkers were also conducted. We found on multivariate analysis that reduction in counts of lymphocyte and platelets and elevation in counts of neutrophils and level of CRP (T2/T1 ratio > 1) are strongly associated with mortality with respective ORs estimated at 6.74, 3.26, 5.65 and 4.34 [p-values < 0.001]. AUCs were found to lie in a range of 0.68 to 0.81 indicating fair to good performance. Other factors found to impact survival were AKI, AF and ACS [p-values < 0.01]. In contrast to other studies, risk factors didn’t show an association with survival when adjusted for effects of complications and changes in biomarker levels. Our results confirm that inexpensive tests like lymphocyte count and CRP can be reliably used to follow COVID-19 patients in ICU and to support the decision to discharge patients.