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Exposure to mixtures of chemicals, such as drugs, pollutants, and nutrients, is common in real-world exposure or treatment scenarios. To understand the impact of these exposures on health outcomes, an interpretable and important approach is to estimate the causal effect of exposure regions that are most associated with a health outcome. This requires a statistical estimator that can identify these exposure regions and provide an unbiased estimate of a causal target parameter given the region. In this work, we present a methodology that uses decision trees to data-adaptively determine exposure regions and employs cross-validated targeted maximum likelihood estimation to unbiasedly estimate the average regional-exposure effect (ARE). This results in a plug-in estimator with an asymptotically normal distribution and minimum variance, from which confidence intervals can be derived. The methodology is implemented in the open-source software, CVtreeMLE, a package in R. Analysts put in a vector of exposures, covariates and an outcome and tables are given for regions in the exposures, such as lead > 2.1 & arsenic > 1.4, with an associated ARE which represents the mean outcome difference if all individuals were exposed to this region compared to if none were exposed to this region. CVtreeMLE enables researchers to discover interpretable exposure regions in mixed exposure scenarios and provides robust statistical inference for the impact of these regions. The resulting quantities offer interpretable thresholds that can inform public health policies, such as pollutant regulations, or aid in medical decision-making, such as identifying the most effective drug combinations.

Additional file 1. Text S1 – Theoretical framework.

Additional file 1: Figure S1. Global dry milk powder production and trade dynamics in 2005 (top) and 2014 (bottom) – circles represent country production values (tonnes), and lines the value and direction of trade (US$). Notes: To simplify the figure, only countries with trade flow (export) values >US$10 million were represented; dry milk powder production values (tonnes) were sourced from FAOSTAT. Trade data were soured from UN Comtrade. Table S1. List of organizations in the baby food industries’ global influence network. Notes: * formerly the Grocery Manufacturers Association.

Additional file 1.. Supplementary file 1: A brief overview of the Coca-Cola Company and PepsiCo

PurposeTo determine if endovascular chemofiltration with an ionic device (ChemoFilter [CF]) can be used to reduce systemic exposure and off-target biodistribution of doxorubicin (DOX) during hepatic intra-arterial chemotherapy (IAC) in a preclinical model.Materials and methodsHepatic IAC infusions were performed in six pigs with normal livers. Animals underwent two 10-minute intra-arterial infusions of DOX (200 mg) into the common hepatic artery. Both the treatment group and the control group received initial IAC at 0 minutes and a second dose at 200 minutes. Prior to the second dose, CF devices were deployed in and adjacent to the hepatic venous outflow tract of treatment animals. Systemic exposure to DOX was monitored via blood samples taken during IAC procedures. After euthanasia, organ tissue DOX concentrations were analyzed. Alterations in systemic DOX exposure and biodistribution were compared by using one-tailed t tests.ResultsCF devices were well tolerated, and no hemodynamic, thrombotic, or immunologic complications were observed. Animals treated with a CF device had a significant reduction in systemic exposure when compared with systemic exposure in the control group (P

Background and purposeShorter time-to-thrombolysis in acute ischemic stroke (AIS) is associated with improved functional outcome and reduced morbidity. We evaluate the effect of several interventions to reduce time-to-thrombolysis at an urban, public safety net hospital.MethodsAll patients treated with tissue plasminogen activator for AIS at our institution between 2008 and 2015 were included in a retrospective analysis of door-to-needle (DTN) time and associated factors. Between 2011 and 2014, we implemented 11 distinct interventions to reduce DTN time. Here, we assess the relative impact of each intervention on DTN time.ResultsThe median DTN time pre- and postintervention decreased from 87 (interquartile range: 68-109) minutes to 49 (interquartile range: 39-63) minutes. The reduction was comprised primarily of a decrease in median time from computed tomography scan order to interpretation. The goal DTN time of 60 minutes or less was achieved in 9% (95% confidence interval: 5%-22%) of cases preintervention, compared with 70% (58%-81%) postintervention. Interventions with the greatest impact on DTN time included the implementation of a stroke group paging system, dedicated emergency department stroke pharmacists, and the development of a stroke code supply box.ConclusionsMultidisciplinary, collaborative interventions are associated with a significant and substantial reduction in time-to-thrombolysis. Such targeted interventions are efficient and achievable in resource-limited settings, where they are most needed.

To computationally optimize the design of an endovascular magnetic filtration device that binds iron oxide nanoparticles and to validate simulations with experimental results of prototype devices in physiologic flow testing. Three-dimensional computational models of different endovascular magnetic filter devices assessed magnetic particle capture. We simulated a series of cylindrical neodymium N52 magnets and capture of 1500 iron oxide nanoparticles infused in a simulated 14mm-diameter vessel. Device parameters varied included: magnetization orientation (across the diameter, "D", along the length, "L", of the filter), magnet outer diameter (3, 4, 5mm), magnet length (5, 10mm), and spacing between magnets (1, 3mm). Top designs were tested in vitro using 89Zr-radiolabeled iron oxide nanoparticles and gamma counting both in continuous and multiple pass flow model. Computationally, "D" magnetized devices had greater capture than "L" magnetized devices. Increasing outer diameter of magnets increased particle capture as follows: "D" designs, 3mm: 12.8-13.6%, 4mm: 16.6-17.6%, 5mm: 21.8-24.6%; "L" designs, 3mm: 5.6-10%, 4mm: 9.4-15.8%, 5mm: 14.8-21.2%. In vitro, while there was significant capture by all device designs, with most capturing 87-93% within the first two minutes, compared to control non-magnetic devices, there was no significant difference in particle capture with the parameters varied. The computational study predicts that endovascular magnetic filters demonstrate maximum particle capture with "D" magnetization. In vitro flow testing demonstrated no difference in capture with varied parameters. Clinically, "D" magnetized devices would be most practical, sized as large as possible without causing intravascular flow obstruction.