The COVID-19 pandemic caused disruption to health services. It is unclear if there were inequalities in the continuity of mental health care in the years around the COVID-19 pandemic. We used electronic health records (EHR) to detect mental health care gaps of more than six months in psychiatric appointments across demographic and socioeconomic characteristics among patients with depression.
View Article and Find Full Text PDFEstimating treatment effects conditional on observed covariates can improve the ability to tailor treatments to particular individuals. Doing so effectively requires dealing with potential confounding, and also enough data to adequately estimate effect moderation. A recent influx of work has looked into estimating treatment effect heterogeneity using data from multiple randomized controlled trials and/or observational datasets.
View Article and Find Full Text PDFWe report the case of a four-year-old male patient with a complex medical history born prematurely as the result of intrauterine growth restriction due to placental insufficiency. His clinical manifestations included severe neurodevelopmental deficits, global developmental delay, Pierre-Robin sequence, and intractable epilepsy with both generalized and focal features. The proband's low levels of citrulline and lactic acidosis provoked by administration of Depakoke were evocative of a mitochondrial etiology.
View Article and Find Full Text PDFRevision surgery is paramount to cure chronic prosthetic joint infections because these infections are associated with biofilms on prosthetics that conventional antibiotics cannot eradicate. However, there is a paucity of research on where in vivo biofilms are located on infected prosthetics. Consequently, the objective of this pilot study was to address this gap in knowledge by staining 5 chronically infected prosthetics, that were removed at the time of revision surgery, with methylene blue.
View Article and Find Full Text PDFIndividualized treatment decisions can improve health outcomes, but using data to make these decisions in a reliable, precise, and generalizable way is challenging with a single dataset. Leveraging multiple randomized controlled trials allows for the combination of datasets with unconfounded treatment assignment to better estimate heterogeneous treatment effects. This article discusses several nonparametric approaches for estimating heterogeneous treatment effects using data from multiple trials.
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