Publications by authors named "Zachary McCann"

Background: Elevated ambient temperatures increase the risk for acute kidney-related morbidity, and medication use may increase vulnerability to heat exposure. This study examines whether medication use, and combination medication use (ie, polypharmacy), modifies the risk for temperature-related volume depletion (VD) and acute kidney injury (AKI).

Methods: This study uses patient-level emergency department (ED) visit data from four Atlanta-area hospitals during the warm season from 2013 to 2019.

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Introduction: Ambient particulate matter ≤ 2.5 µm in aerodynamic diameter (PM) exposure elevates the risk for cardiovascular disease morbidity (CVDM). The aim of this study is to characterise which area-level measures of socioeconomic position (SEP) modify the relationship between PM exposure and CVDM in Missouri at the census-tract (CT) level.

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Article Synopsis
  • As climate change leads to more severe and frequent hurricanes, there's a concern that hurricane damage may increase cardiovascular disease (CVD) mortality, potentially moderated by social capital, which refers to the resources accessible through social networks.
  • The study examined data from 2013 to 2018, focusing on the relationship between county-level hurricane damage from Hurricane Matthew and CVD mortality, while analyzing how different dimensions of social capital influenced this relationship.
  • The hypotheses posited that greater hurricane damage correlates with higher CVD mortality and that in severely affected areas, higher social capital levels could mitigate the increase in CVD mortality rates.
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Cannabidiol (CBD) trials offer an opportunity to examine social factors that shape outcomes of patients with treatment-resistant epilepsy. Prior research of patients treated with CBD for epilepsy describes financial struggles of these patients/families and the association between socioeconomic status and patient-centered outcomes. However, social determinants of health in this population are still poorly understood, mainly due to data scarcity.

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