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    Date Issued2018 (1)2017 (1)Author
    Gibbons, Patric (2)
    Boudreaux, Edwin D (1)Haskins, Brianna L. (1)Lesperance, Donna (1)UMass Chan AffiliationCritical Care Medicine, Neurology (1)Department of Emergency Medicine (1)School of Medicine (1)Document TypeJournal Article (1)Master's Thesis (1)KeywordEmergency Medicine (2)Cardiology (1)Critical Care (1)Critical Care Medicine (1)eHealth (1)View MoreJournalTranslational behavioral medicine (1)

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    Follow Your Heart: Evaluating Cardiac Function to Predict Outcomes Among ICU Patients with Traumatic Brain Injury

    Gibbons, Patric (2018-05-09)
    Introduction: Traumatic Brain Injury (TBI) remains a significant public health burden in the United States. Persons afflicted with more severe TBIs are usually admitted to an ICU, where they are at risk for a number of complications throughout their hospitalization. Recent literature has attempted to describe such complications from a cardiovascular perspective as part of a “cardio-cerebral syndrome.” We described the frequency of cardiac complications in the ICU among patients with a TBI and compared patients with and without measured cardiac dysfunction. We investigated the potential impact of cardiac dysfunction on in-hospital mortality. Methods: This was a retrospective review of a prospective cohort study in adult ICU patients with moderate-to-severe TBI (GCS≤12). We measured cardiac dysfunction using initial EKG echocardiography findings and peak serum troponin levels during hospitalization. Primary outcome was in-hospital mortality for patients with and without cardiac dysfunction using multivariable adjusted Cox Proportional Hazards Regression. Secondary outcomes examined the relationship between severity of brain injury and degree of cardiac dysfunction. Results: Ordinal logistic regression showed patients with more indicators of cardiac injury were significantly more likely to have greater brain injury as reflected by lower GCS scores (OR 0.76; 95%CI 0.58-0.99). There was a significantly increased multivariable adjusted risk of dying for each increase in measured cardiac injury (HR 2.41; 95% CI 1.29-4.53). Conclusions: Cardiac dysfunction was frequently observed in patients with TBI and we showed an association between increasing TBI severity and development of cardiac injury. Cardiovascular dysfunction was associated with an increased risk of in-hospital death. Adverse outcomes from TBI could potentially be mediated by cardiac injury, which could be used as a target for therapeutic intervention.
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    A systematic review of smartphone applications for smoking cessation

    Haskins, Brianna L.; Lesperance, Donna; Gibbons, Patric; Boudreaux, Edwin D (2017-06-01)
    Tobacco use is the leading cause of preventable disease and death in the USA. However, limited data exists regarding smoking cessation mobile app quality and intervention effectiveness. Innovative and scalable interventions are needed to further alleviate the public health implications of tobacco addiction. The proliferation of the smartphone and the advent of mobile phone health interventions have made treatment more accessible than ever. The purpose of this review was to examine the relation between published scientific literature and available commercial smartphone health apps for smoking cessation to identify the percentage of scientifically supported apps that were commercially available to consumers and to determine how many of the top commercially available apps for smoking cessation were supported by the published scientific literature. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, apps were reviewed in four phases: (1) identified apps from the scientific literature, (2) searched app stores for apps identified in the literature, (3) identified top apps available in leading app stores, and (4) determined which top apps available in stores had scientific support. Seven articles identified six apps with some level of scientific support, three (50%) were available in at least one app store. Conversely, among the top 50 apps suggested by each of the leading app stores, only two (4%) had any scientific support. While half of the scientifically vetted apps remain available to consumers, they are difficult to find among the many apps that are identified through app store searches.
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