Publications by authors named "E I Christensen"

Background: Treatment with implantable cardioverter-defibrillators (ICDs) effectively prevents sudden cardiac death (SCD) in patients with hypertrophic cardiomyopathy (HCM). Identifying patients most likely to benefit from a primary prevention ICD remains challenging. We aimed to investigate the long-term incidence of ICD therapy in patients with HCM according to SCD-risk at baseline.

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Background: The prehospital use of blood lactate measurements is increasing. However, the test's benefits have not been methodically evaluated in non-trauma patients. This study had three aims: (1) To assess the evidence of prehospital blood lactate measurements' prognostic value in non-trauma patients, (2) to investigate to what extent the test changed early patient treatment, and (3) to evaluate the healthcare personnel's attitude towards the test.

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Objective: The Neiman Imaging Comorbidity Index (NICI) was developed and validated in a claims dataset encompassing >10 million privately insured beneficiaries, in which it outperformed the commonly used Charlson Comorbidity Index (CCI) in predicting advanced imaging use. This external validation assessed the broader generalizability of NICI for predicting receipt of advanced imaging in nationally representative populations, including patients insured by Medicare, Medicaid, and private payers.

Methods: All 2018 to 2019 patient-level claims from the CMS Medicare 5% Research Identifiable File, CMS Medicaid 100% Research Identifiable File, and private insurance (commercial and Medicare Advantage) claims from Inovalon Insights, LLC, were included.

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Purpose: To determine if relative Medicaid-to-Medicare reimbursement rates are associated with patient imaging utilization.

Methods: This cross-sectional study estimated the association of diagnostic imaging utilization with the state-level Medicaid-to-Medicare reimbursement ratio (MMRR) of professional payments. State-specific reimbursement ratios were computed for each imaging modality.

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Integrin signaling plays important roles in development and disease. An adhesion signaling network called the integrin adhesome has been principally defined using bioinformatics and cell-based proteomics. To date, the adhesome has not been studied using integrated proteomic and genetic approaches.

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