Publications by authors named "M J Paukner"

Introduction: Social determinants of health (SDOH) may impact chronic liver disease (CLD) outcomes but are not clearly understood. We conducted a systematic review to describe the associations of SDOH with mortality, hospitalizations, and readmissions among patients with CLD.

Methods: This review was registered (PROSPERO ID: CRD42022346654) and identified articles through MEDLINE, Embase, Cochrane Library, and Scopus databases.

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Background & Aims: Cirrhosis-related inpatient hospitalizations have increased dramatically over the past decade. We used a longitudinal dataset capturing a large metropolitan area in the United States from 2011 to 2021 to evaluate contemporary hospitalization rates and risk factors among frail patients with cirrhosis.

Methods: We conducted a retrospective, longitudinal cohort study using the Chicago Area Patient-Centered Outcomes Research Network (CAPriCORN) database, an electronic health record repository that aggregates de-duplicated data across 7 health care systems in the Chicago metropolitan area, from 2011 to 2021.

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Electronic health records (EHR) data provides the researcher and physician with the opportunity to improve risk prediction by employing newer, more sophisticated modeling techniques. Rather than treating the impact of predictor variables on health trajectories as static, we explore the use of time-dependent variables in dynamically modeling time-to-event data through the use of landmarking (LM) data sets. We compare several different dynamic models presented in the literature that utilize LM data sets as the basis of their approach.

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Social determinants of health (SDOH) are important predictors of poor clinical outcomes in chronic diseases, but their associations among the general cirrhosis population and liver transplantation (LT) are limited. We conducted a retrospective, multiinstitutional analysis of adult (≥18-years-old) patients with cirrhosis in metropolitan Chicago to determine the associations of poor neighborhood-level SDOH on decompensation complications, mortality, and LT waitlisting. Area deprivation index and covariates extracted from the American Census Survey were aspects of SDOH that were investigated.

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Article Synopsis
  • * A new quantitative method for generating hydroxyl radicals is introduced, using common laboratory equipment and reagents to facilitate protein oxidative footprinting.
  • * The effectiveness of this method is illustrated through oxidation analyses of various proteins, including lysozyme and RAS-monobody complexes, achieving high-resolution mapping of protein structures at the level of single amino acids.
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