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Background: The online Tuberculin Skin Test/Interferon Gamma Release Assay (TST/IGRA) Interpreter V3.0 (TSTin3D), a tool for estimating the risk of active tuberculosis (TB) in individuals with latent TB infection (LTBI), has been in use for more than a decade, but its predictive performance has never been evaluated., Methods: People with a positive TST or IGRA result from 1985 to 2015 were identified using a health data linkage that involved migrants to British Columbia, Canada. Comorbid conditions at the time of LTBI testing were identified from physician claims, hospitalizations, vital statistics, outpatient prescriptions, and kidney and HIV databases. The risk of developing active TB within 2 and 5 years was estimated using TSTin3D. The discrimination and calibration of these estimates were evaluated., Results: A total of 37 163 individuals met study inclusion criteria; 10.4% were tested by IGRA. Generally, the TSTin3D algorithm assigned higher risks to demographic and clinical groups known to have higher active TB risks. Concordance estimates ranged from 0.66 to 0.68 in 2- and 5-year time frames. Comparing predicted to observed counts suggests that TSTin3D overestimates active TB risks and that overestimation increases over time (with relative bias of 3% and 12% in 2- and 5-year periods, respectively). Calibration plots also suggest that overestimation increases toward the upper end of the risk spectrum., Conclusions: TSTin3D can discriminate adequately between people who developed and did not develop active TB in this linked database of migrants with predominately positive skin tests. Further work is needed to improve TSTin3D's calibration., (© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.)

Background: Quetiapine is effective in treating depressive symptoms in major depressive disorder and bipolar disorder, but the mechanisms underlying its antidepressants effects are unknown. Norquetiapine, a metabolite of quetiapine, has high affinity for norepinephrine transporter, which might account for its therapeutic efficacy., Methods: In this study, we used positron emission tomography with (S,S)-[11C]O-methyl reboxetine to estimate norepinephrine transporter density and assess the relationship between norepinephrine transporter occupancy by quetiapine XR and improvement in depression in patients with major depressive disorder (n=5) and bipolar disorder (n=5). After the baseline positron emission tomography scan, patients were treated with quetiapine XR with a target dose of 150 mg in major depressive disorder and 300 mg in bipolar disorder. Patients had a second positron emission tomography scan at the end of week 2 and a final scan at week 7., Results: Norepinephrine transporter density was significantly lower in locus ceruleus in patients compared with healthy subjects. Further, there was a significant positive correlation between quetiapine XR dose and norepinephrine transporter occupancy in locus ceruleus at week 2. The norepinephrine transporter occupancy at week 2 in hypothalamus but not in other regions predicted improvement in depression as reflected by reduction in MADRS scores from baseline to week 7. The estimated dose of quetiapine XR associated with 50% norepinephrine transporter occupancy in hypothalamus at week 2 was 256 mg and the estimated plasma levels of norquetiapine to achieve 50% norepinephrine transporter occupancy was 36.8 µg/L., Conclusion: These data provide preliminary support for the hypothesis that norepinephrine transporter occupancy by norquetiapine may be a contributor to the antidepressant effects of quetiapine., (© The Author 2017. Published by Oxford University Press on behalf of CINP.)